From c8ad76640f82d5d8510a1a5c0dc8e9b4a549ac3b Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 27 Sep 2020 15:00:45 +0200 Subject: [PATCH 01/17] Add unexported precompile() function to facilitate benchmarking `DataFrames.precompile()` precompiles all methods that are used when running tests. This is useful to run benchmarks like H2Oai where the time of the first run should include the time needed to specialize on a particular operation on a particular dataset, but not the time needed for the more general compilation of common parts. It could also be useful for users who would like to generate a precompiled image. To avoid making the package slower to precompile or load, the precompilation code is only included when actually used. --- src/other/utils.jl | 13 + src/precompile.jl | 3989 ++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 4002 insertions(+) create mode 100644 src/precompile.jl diff --git a/src/other/utils.jl b/src/other/utils.jl index e13627748c..d26376dcab 100644 --- a/src/other/utils.jl +++ b/src/other/utils.jl @@ -83,3 +83,16 @@ else end funname(c::ComposedFunction) = Symbol(funname(c.outer), :_, funname(c.inner)) + +# precompile.jl contains precompilation directives for all methods whose compilation +# is triggered by running DataFrames tests and takes more than 0.01s. +# It is generated using the SnoopCompile package via: +# using SnoopCompileCore +# inf_timing = @snoopi tmin=0.01 include("test/runtests.jl") +# using SnoopCompile +# pc = SnoopCompile.parcel(inf_timing) +# SnoopCompile.write("src/precompile", pc[:DataFrames], always=true) +function precompile() + include(joinpath(dirname(pathof(DataFrames)), "precompile.jl")) + return nothing +end diff --git a/src/precompile.jl b/src/precompile.jl new file mode 100644 index 0000000000..153b0a8238 --- /dev/null +++ b/src/precompile.jl @@ -0,0 +1,3989 @@ +const __bodyfunction__ = Dict{Method,Any}() + +# Find keyword "body functions" (the function that contains the body +# as written by the developer, called after all missing keyword-arguments +# have been assigned values), in a manner that doesn't depend on +# gensymmed names. +# `mnokw` is the method that gets called when you invoke it without +# supplying any keywords. +function __lookup_kwbody__(mnokw::Method) + function getsym(arg) + isa(arg, Symbol) && return arg + @assert isa(arg, GlobalRef) + return arg.name + end + + f = get(__bodyfunction__, mnokw, nothing) + if f === nothing + fmod = mnokw.module + # The lowered code for `mnokw` should look like + # %1 = mkw(kwvalues..., #self#, args...) + # return %1 + # where `mkw` is the name of the "active" keyword body-function. + ast = Base.uncompressed_ast(mnokw) + if isa(ast, Core.CodeInfo) && length(ast.code) >= 2 + callexpr = ast.code[end-1] + if isa(callexpr, Expr) && callexpr.head == :call + fsym = callexpr.args[1] + if isa(fsym, Symbol) + f = getfield(fmod, fsym) + elseif isa(fsym, GlobalRef) + if fsym.mod === Core && fsym.name === :_apply + f = getfield(mnokw.module, getsym(callexpr.args[2])) + elseif fsym.mod === Core && fsym.name === :_apply_iterate + f = getfield(mnokw.module, getsym(callexpr.args[3])) + else + f = getfield(fsym.mod, fsym.name) + end + else + f = missing + end + else + f = missing + end + else + f = missing + end + __bodyfunction__[mnokw] = f + end + return f +end + +# Core +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Any,Int64},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Any},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Int64},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Symbol,Int64},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Symbol},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Core.Array{Base.Dict{Core.Symbol,V} where V,1}}) + +# Base +Base.precompile(Tuple{Core.kwftype(typeof(Base.cat)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(cat),Missing,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.cat)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(cat),UnitRange{Int64},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.cat_t)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(Base.cat_t),Type{Int64},Int64,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.cat_t)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(Base.cat_t),Type{UnionAll},Array{UnionAll,1},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.cat_t)),NamedTuple{(:dims,),Tuple{Val{2}}},typeof(Base.cat_t),Type{Any},Char,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.printstyled)),NamedTuple{(:bold, :color),Tuple{Bool,Symbol}},typeof(printstyled),Base.TTY,String,Vararg{String,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.printstyled)),NamedTuple{(:bold, :color),Tuple{Bool,Symbol}},typeof(printstyled),String,String,Vararg{String,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),UnitRange{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner,),Tuple{Array{Int64,1}}},typeof(repeat),Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner,),Tuple{Int64}},typeof(repeat),Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner,),Tuple{Int64}},typeof(repeat),StepRange{Char,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Array{Int64,1}}},typeof(repeat),Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Array{Int64,1}}},typeof(repeat),Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Int64}},typeof(repeat),Array{Union{Missing, Symbol},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Int64}},typeof(repeat),StepRange{Char,Int64}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Dict{Symbol,Any},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Dict{Symbol,Int64},1}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Dict{Symbol,Symbol},1}}) +Base.precompile(Tuple{Type{Array{Float64,1}},Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{Type{Array{Union{Int64, Int8},1}},Array{Int64,1}}) +Base.precompile(Tuple{Type{Array{Union{Missing, Float64},1}},Array{Float64,1}}) +Base.precompile(Tuple{Type{Array{Union{Missing, Int64, Int8},1}},Array{Int64,1}}) +Base.precompile(Tuple{Type{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Axes,F,Args} where Args<:Tuple where F where Axes},typeof(+),Tuple{Array{Float64,1},Int64}}) +Base.precompile(Tuple{Type{Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Axes,F,Args} where Args<:Tuple where F where Axes},typeof(identity),Tuple{Tuple{Int64,Int64}}}) +Base.precompile(Tuple{Type{Base.Generator},Type{Pair},Array{Symbol,1},Tuple{Symbol,Int64}}) +Base.precompile(Tuple{Type{Base.IteratorSize},Array{Pair,1}}) +Base.precompile(Tuple{Type{CartesianIndex},BigInt,Vararg{Integer,N} where N}) +Base.precompile(Tuple{Type{CartesianIndex},Int64,Vararg{Int64,N} where N}) +Base.precompile(Tuple{Type{Dict},Array{Pair{Symbol,Symbol},1}}) +Base.precompile(Tuple{Type{Dict},Pair{Int64,Symbol},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{Int64,Symbol},Vararg{Pair{Int64,Symbol},N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,Array{Float64,1}},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,Array{Int64,1}},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,Array{Union{Missing, Float64},1}},Vararg{Pair{String,Array{Union{Missing, Float64},1}},N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,Int64},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,Int64},Vararg{Pair{String,Int64},N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,Missing},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,Symbol},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{String,UnitRange{Int64}},Vararg{Pair{String,UnitRange{Int64}},N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{Symbol,Array{Int64,1}},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{Symbol,Int64},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{Symbol,Missing},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{Symbol,Symbol},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Pair{Symbol,UnitRange{Int64}},Vararg{Pair,N} where N}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Int64,Symbol},Pair{Int64,Int64}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Array{Float64,1}},Pair{String,Array{Union{Missing, Float64},1}},Pair{String,Array{Union{Missing, Float64},1}}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Array{Int64,1}},Pair{String,Int64},Pair{String,UnitRange{Int64}}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Int64},Pair{Symbol,Int64}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Missing},Pair{String,Int64}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Symbol},Pair{String,Int64}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Array{Int64,1}},Pair{Symbol,Int64},Pair{Symbol,UnitRange{Int64}}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Int64},Pair{Symbol,Missing}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Int64},Pair{Symbol,String}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Int64},Pair{Symbol,Symbol}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Missing},Pair{Symbol,Int64}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Symbol},Pair{Symbol,Int64},Pair{Symbol,Int64}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Symbol},Pair{Symbol,Int64}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Symbol},Pair{Symbol,String}}}) +Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Float64,1}}}}) +Base.precompile(Tuple{Type{IOContext},Base.GenericIOBuffer{Array{UInt8,1}},Pair{Symbol,TypeVar}}) +Base.precompile(Tuple{Type{NamedTuple{(:a, :b),T} where T<:Tuple},Tuple{UnitRange{Int64},StepRange{Char,Int64}}}) +Base.precompile(Tuple{typeof(!=),Array{Int64,1},Array{BigInt,1}}) +Base.precompile(Tuple{typeof(!=),SubArray{Symbol,1,Array{Symbol,1},Tuple{UnitRange{Int64}},true},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(*),Complex{Bool},Array{Int64,1}}) +Base.precompile(Tuple{typeof(*),Int64,Array{Float64,1}}) +Base.precompile(Tuple{typeof(+),Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(+),Array{Float64,1},Array{Float64,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(+),Array{Float64,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(+),Array{Float64,1}}) +Base.precompile(Tuple{typeof(+),Array{Int64,1},Array{Complex{Int64},1}}) +Base.precompile(Tuple{typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(+),Array{Int64,1}}) +Base.precompile(Tuple{typeof(+),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{typeof(+),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(+),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(-),Array{Float64,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(-),Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),Array{AbstractArray{T,1} where T,1},Array{AbstractArray{T,1} where T,1}}) +Base.precompile(Tuple{typeof(==),Array{AbstractArray{T,1} where T,1},Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(==),Array{Any,1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(==),Array{Any,2},Array{Any,2}}) +Base.precompile(Tuple{typeof(==),Array{Array{Float64,2},1},Array{Array{Float64,2},1}}) +Base.precompile(Tuple{typeof(==),Array{Array{Float64,3},1},Array{Array{Float64,3},1}}) +Base.precompile(Tuple{typeof(==),Array{Array{Int64,1},1},Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(==),Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1},Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}) +Base.precompile(Tuple{typeof(==),Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}) +Base.precompile(Tuple{typeof(==),Array{Array{Union{Missing, Int64},1},1},Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(==),Array{BigFloat,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(==),Array{BigFloat,1},Array{Real,1}}) +Base.precompile(Tuple{typeof(==),Array{BigInt,1},Array{BigInt,1}}) +Base.precompile(Tuple{typeof(==),Array{Bool,1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(==),Array{Bool,1},BitArray{1}}) +Base.precompile(Tuple{typeof(==),Array{Char,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),Array{DataType,1},Array{DataType,1}}) +Base.precompile(Tuple{typeof(==),Array{DataType,1},Array{Type,1}}) +Base.precompile(Tuple{typeof(==),Array{Float64,1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(==),Array{Float64,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Real,1}}) +Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(==),Array{Int64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(==),Array{Int64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{typeof(==),Array{Int64,1},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(==),Array{NamedTuple{(),Tuple{}},1},Array{NamedTuple{(),Tuple{}},1}}) +Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) +Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1},Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1}}) +Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}) +Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}) +Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}}) +Base.precompile(Tuple{typeof(==),Array{Pair{Symbol,B} where B,1},Array{Pair{Symbol,Any},1}}) +Base.precompile(Tuple{typeof(==),Array{Pair{Symbol,Float64},1},Array{Pair{Symbol,Float64},1}}) +Base.precompile(Tuple{typeof(==),Array{Pair{Symbol,Int64},1},Array{Pair{Symbol,Int64},1}}) +Base.precompile(Tuple{typeof(==),Array{String,1},Array{Union{Missing, String},1}}) +Base.precompile(Tuple{typeof(==),Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(==),Array{Tuple{Int64,Int64},1},Array{Tuple{Int64,Int64},1}}) +Base.precompile(Tuple{typeof(==),Array{Tuple{Int64},1},Array{Tuple{Int64},1}}) +Base.precompile(Tuple{typeof(==),Array{Type,1},Array{Type,1}}) +Base.precompile(Tuple{typeof(==),Array{Union,1},Array{Union,1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},1},Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},2},Array{Union{Missing, Float64},2}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Symbol},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}) +Base.precompile(Tuple{typeof(==),Array{UnitRange{Int64},1},Array{UnitRange{Int64},1}}) +Base.precompile(Tuple{typeof(==),LinearIndices{1,Tuple{Base.OneTo{Int64}}},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(==),NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}},NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,String}}}) +Base.precompile(Tuple{typeof(==),NamedTuple{(:b, :a),Tuple{Union{Missing, Float64},Union{Missing, Int64}}},NamedTuple{(:b, :a),Tuple{Float64,Int64}}}) +Base.precompile(Tuple{typeof(==),NamedTuple{(:b, :c),Tuple{Union{Missing, Float64},Union{Missing, String}}},NamedTuple{(:b, :c),Tuple{Float64,String}}}) +Base.precompile(Tuple{typeof(==),NamedTuple{(:c, :a, :b),Tuple{Union{Missing, String},Union{Missing, Int64},Union{Missing, Float64}}},NamedTuple{(:c, :a, :b),Tuple{String,Int64,Float64}}}) +Base.precompile(Tuple{typeof(==),NamedTuple{(:c, :b),Tuple{Union{Missing, String},Union{Missing, Float64}}},NamedTuple{(:c, :b),Tuple{String,Float64}}}) +Base.precompile(Tuple{typeof(==),SubArray{Array{Int64,1},1,Array{Array{Int64,1},1},Tuple{Base.OneTo{Int64}},true},Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(==),SubArray{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1,Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Tuple{Array{Int64,1}},false},SubArray{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1,Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(==),SubArray{Char,1,Array{Char,1},Tuple{Base.OneTo{Int64}},true},Array{Char,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,2},Tuple{Array{Int64,1},Int64},false},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},Array{Float64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true},SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}) +Base.precompile(Tuple{typeof(==),SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(==),SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(==),SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(==),SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true},Array{Union{Missing, Int64},1}}) 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Int64},1},Tuple{Array{Int64,1}},false},1},typeof(length)}}) +Base.precompile(Tuple{typeof(Base.collect_similar),Array{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},1},Base.Generator{Array{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},1},typeof(length)}}) +Base.precompile(Tuple{typeof(Base.collect_similar),StepRange{Char,Int64},Base.Generator{StepRange{Char,Int64},typeof(string)}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Any,1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Array{Float64,2},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{BigInt,1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Irrational{:π}, Missing},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, Array{Float64,2}},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, BigFloat},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, Complex{Float64}},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, Int64, Int8},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, Number},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, Rational{Int64}},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, Real},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Array{Union{Missing, UInt8},1},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Dict{Any,Int64},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Dict{Symbol,Int64},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Dict{Union{Missing, String},UInt8},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.deepcopy_internal),Tuple{Array{Int64,1}},IdDict{Any,Any}}) +Base.precompile(Tuple{typeof(Base.depwarn),String,Symbol}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Any,Int64},Tuple{Pair{String,Int64},Pair{Symbol,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Any,Int64},Tuple{Pair{Symbol,Int64},Pair{String,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Int64,Any},Tuple{Pair{Int64,Symbol},Pair{Int64,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Int64,Symbol},Tuple{Pair{Int64,Symbol},Pair{Int64,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Any},Tuple{Pair{String,Symbol},Pair{String,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Array{Float64,1}},Tuple{Pair{String,Array{Float64,1}},Pair{String,Array{Union{Missing, Float64},1}},Pair{String,Array{Union{Missing, Float64},1}}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Array{Int64,1}},Tuple{Pair{String,Array{Int64,1}},Pair{String,Int64},Pair{String,UnitRange{Int64}}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Array{T,1} where T},Tuple{Pair{String,Array{Float64,1}},Pair{String,Array{Union{Missing, Float64},1}},Pair{String,Array{Union{Missing, Float64},1}}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Int64},Tuple{Pair{String,Int64},Pair{Symbol,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Missing},Tuple{Pair{String,Missing},Pair{String,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Symbol},Tuple{Pair{String,Symbol},Pair{String,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{String,Union{Missing, Int64}},Tuple{Pair{String,Missing},Pair{String,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,AbstractArray{T,1} where T},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Float64,1}}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Any},Tuple{Pair{Symbol,Int64},Pair{Symbol,String}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Any},Tuple{Pair{Symbol,Int64},Pair{Symbol,Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Any},Tuple{Pair{Symbol,Symbol},Pair{Symbol,Int64},Pair{Symbol,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Any},Tuple{Pair{Symbol,Symbol},Pair{Symbol,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Any},Tuple{Pair{Symbol,Symbol},Pair{Symbol,String}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Array{Int64,1}},Tuple{Pair{Symbol,Array{Int64,1}},Pair{Symbol,Int64},Pair{Symbol,UnitRange{Int64}}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Missing},Tuple{Pair{Symbol,Missing},Pair{Symbol,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Symbol},Tuple{Pair{Symbol,Symbol},Pair{Symbol,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,Union{Missing, Int64}},Tuple{Pair{Symbol,Missing},Pair{Symbol,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.grow_to!),Dict{Symbol,UnitRange{Int64}},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Float64,1}}},Int64}) +Base.precompile(Tuple{typeof(Base.print_to_string),NamedTuple{(:ID,),Tuple{Float64}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.print_to_string),NamedTuple{(:ID,),Tuple{Union{Missing, Int64}}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.print_to_string),NamedTuple{(:ID1, :ID2),Tuple{Int64,String}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.print_to_string),NamedTuple{(:a,),Tuple{Int64}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.print_to_string),NamedTuple{(:d, :b),Tuple{Int64,Int64}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.print_to_string),NamedTuple{(:d,),Tuple{Int64}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.print_to_string),NamedTuple{(:id,),Tuple{Int64}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.print_to_string),Type{T} where T,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.promote_typeof),Array{Bool,1},Regex,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.promote_typeof),Missing,Int64}) +Base.precompile(Tuple{typeof(Base.require),Module,Symbol}) +Base.precompile(Tuple{typeof(Base.return_types),Any,Any}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Array{Any,1},1},Array{String,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Array{Float64,1},1},Array{Int64,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Array{Int64,1},1},Array{Float64,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Array{Int64,1},1},UnitRange{Int64},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Array{String,1},1},Array{Float64,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Array{Union{Missing, Float64},1},1},Array{Float64,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Array{Union{Missing, Int64},1},1},Array{Int64,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Base.Iterators.Take{Base.Iterators.Repeated{Missing}},1},Array{Int64,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Base.OneTo{Int64},1},Array{Int64,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Base.OneTo{Int64},1},Pair{Int64,Pair{typeof(identity),Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{BitArray{1},1},Array{Bool,1},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Float64,1},Nothing,Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Int64,1},Bool,Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Integer,1},Float64,Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Missing,1},Symbol,Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},NamedTuple{(:a, :b),Tuple{Missing,Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Missing,Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Nothing,1},Int64,Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Base.OneTo{Int64},Pair{typeof(+),Symbol}},1},Base.OneTo{Int64},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Base.OneTo{Int64},Pair{typeof(+),Symbol}},1},Pair{Int64,Pair{typeof(identity),Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{typeof(+),Symbol}},1},Pair{Array{Int64,1},Pair{typeof(+),Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{typeof(first),Symbol}},1},Pair{Int64,Pair{typeof(identity),Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{typeof(identity),Symbol}},1},Pair{Int64,Pair{typeof(first),Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{typeof(identity),Symbol}},1},UnitRange{Int64},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{typeof(last),Symbol}},1},Pair{Int64,Pair{typeof(identity),Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{typeof(maximum),Symbol}},1},Pair{Int64,Pair{typeof(sum),Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Symbol,Int64},1},Pair{Symbol,Float64},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{UnitRange{Int64}},true},1},Array{Int64,1},Int64}) +Base.precompile(Tuple{typeof(Base.show_call),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Symbol,Symbol,Array{Any,1},Int64,Int64,Bool}) +Base.precompile(Tuple{typeof(Base.show_unquoted),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Expr,Int64,Int64}) +Base.precompile(Tuple{typeof(Base.show_unquoted_quote_expr),Base.GenericIOBuffer{Array{UInt8,1}},Any,Int64,Int64,Int64}) +Base.precompile(Tuple{typeof(Base.show_unquoted_quote_expr),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Any,Int64,Int64,Int64}) +Base.precompile(Tuple{typeof(Base.typed_hcat),Type{T} where T,Char,Char,Float64,Vararg{Float64,N} where N}) +Base.precompile(Tuple{typeof(Base.typed_hcat),Type{T} where T,String,String,Int64}) +Base.precompile(Tuple{typeof(Base.typed_hcat),Type{T} where T,String,String}) +Base.precompile(Tuple{typeof(Base.typed_hvcat),Type{Any},Tuple{Int64,Int64,Int64},String,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.typed_hvcat),Type{Any},Tuple{Int64,Int64},Int64,Vararg{Int64,N} where N}) +Base.precompile(Tuple{typeof(Base.typed_hvcat),Type{String},Tuple{Int64,Int64,Int64},String,Vararg{String,N} where N}) +Base.precompile(Tuple{typeof(Base.typed_hvcat),Type{Union{Missing, Float64}},Tuple{Int64,Int64,Int64},Float64,Vararg{Float64,N} where N}) +Base.precompile(Tuple{typeof(Base.typed_vcat),Type{Any},Array{Any,2},Array{Any,2},Array{Any,2}}) +Base.precompile(Tuple{typeof(Base.typed_vcat),Type{Any},Array{Array{T,1} where T,1},Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(Base.typed_vcat),Type{Any},Array{Array{Union{Missing, Int64},1},1},Array{Array{Union{Missing, Int64},1},1}}) +Base.precompile(Tuple{typeof(Base.typed_vcat),Type{Any},Array{Union{Missing, Float64},1},Array{Float64,1},Array{Float64,1},Vararg{Union{AbstractArray{T,1}, AbstractArray{T,2}} where T,N} where N}) +Base.precompile(Tuple{typeof(Base.typed_vcat),Type{String},Array{String,2},Array{String,2},Array{String,2}}) +Base.precompile(Tuple{typeof(Base.typesof),Tuple{Pair{String,UnitRange{Int64}},Pair{String,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(Base.vect),Array{Array{Int64,1},1},Vararg{Array{Array{Int64,1},1},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Array{Bool,1},Vararg{Array{Bool,1},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Array{Bool,1}}) +Base.precompile(Tuple{typeof(Base.vect),Array{Float64,1},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Array{Float64,2},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Array{Float64,2},Vararg{Array{Float64,2},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Vararg{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},Vararg{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(Base.vect),Base.Generator{UnitRange{Int64},typeof(identity)},Vararg{Base.Generator{UnitRange{Int64},typeof(identity)},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),BigFloat,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),BigFloat,Vararg{BigFloat,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Complex{Float64},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Complex{Float64},Vararg{Complex{Float64},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Irrational{:π},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Irrational{:π},Vararg{Irrational{:π},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Vararg{NamedTuple{(:a, :b),Tuple{Int64,Int64}},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),NamedTuple{(:g,),Tuple{Array{Int64,1}}},Vararg{NamedTuple{(:g,),Tuple{Array{Int64,1}}},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Vararg{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Pair{Symbol,Float64},Vararg{Pair{Symbol,Float64},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Pair{Symbol,Int64},Vararg{Pair{Symbol,Int64},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Pair{Symbol,Pair{typeof(sum),Symbol}},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Pair{Symbol,typeof(sum)},Vararg{Pair{Symbol,typeof(sum)},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Rational{Int64},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Rational{Int64},Vararg{Rational{Int64},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Tuple{Int64},Vararg{Tuple{Int64},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Type{Array{Int64,1}},Vararg{Type{Array{Int64,1}},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Type{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(Base.vect),Type{Float64},Vararg{Type{Float64},N} where N}) +Base.precompile(Tuple{typeof(Base.vect),Type{Union{Missing, Int64}},Vararg{Union,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),UInt8,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(any),Function,Base.Iterators.Zip{Tuple{Array{Array{Array{Int64,1},1},1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(any),Function,Base.Iterators.Zip{Tuple{Array{Array{T,1} where T,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(any),Function,Base.Iterators.Zip{Tuple{Array{Base.Generator{UnitRange{Int64},typeof(identity)},1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{Symbol,typeof(identity)},1}}) +Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{_A,typeof(sum)} where _A,1}}) +Base.precompile(Tuple{typeof(append!),Array{Float64,1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(append!),Array{Int64,1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(append!),Array{Int64,1},Array{Missing,1}}) +Base.precompile(Tuple{typeof(append!),Array{Int64,1},Array{String,1}}) +Base.precompile(Tuple{typeof(collect),Base.Iterators.Flatten{Array{Array{Float64,1},1}}}) +Base.precompile(Tuple{typeof(collect),Base.Iterators.Flatten{Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}}) +Base.precompile(Tuple{typeof(collect),Base.Iterators.Flatten{Array{Tuple{Int64,Int64},1}}}) +Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Float64,1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Float64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Int64,1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(collect),NamedTuple{(:a, :b),Tuple{Missing,Symbol}}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{BigFloat,1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{BigInt,1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Complex{Float64},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Complex{Int64},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Irrational{:π},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Rational{Int64},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Union{Missing, UInt64},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Union{Nothing, String},1},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Any,1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{A,Pair{typeof(+),Symbol}} where A,1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Array{Int64,1},Pair{typeof(identity),Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,B} where B,1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{Function,Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{UnionAll,Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(identity),Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(length),Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(maximum),Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(minimum),Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(prod),Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{typeof(convert),Type{Array{Any,1}},Array{Missing,1}}) +Base.precompile(Tuple{typeof(convert),Type{Array{Union{Missing, Real},1}},Array{Missing,1}}) 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+Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{Array{Int64,1},1},1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{Int64,1},1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{T,1} where T,1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{Union{Missing, Int64},1},1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Tuple{Int64,Int64},1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sin),Tuple{Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sin),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sqrt),Tuple{Array{Missing,1}}}}) +Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sqrt),Tuple{Array{Rational{Int64},1}}}}) +Base.precompile(Tuple{typeof(copy),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,Array{BigFloat,1},Int64,Int64}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,Array{Int64,1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Char,1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Float64,1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Int64,1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Union{Missing, Float64},1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Array{Union{Missing, Float64},1},1},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}}) +Base.precompile(Tuple{typeof(copyto!),Array{BigFloat,1},Int64,Array{Float64,1},Int64,Int64}) +Base.precompile(Tuple{typeof(copyto!),Array{Char,1},SubArray{Char,1,Array{Char,1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(copyto!),Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,Array{Int64,1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,Array{Union{Missing, Float64},1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,SubArray{Float64,1,Array{Float64,2},Tuple{Array{Int64,1},Int64},false}}) 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Float64},1},Tuple{Missing,Float64,Float64,Float64,Float64,Missing,Float64,Missing,Float64}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},Int64,Array{Int64,1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},Int64,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},Tuple{Missing,Int64,Int64,Int64,Int64,Missing}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},2},Int64,Array{Union{Missing, Float64},1}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, String},1},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Symbol},1},SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, UInt8},1},Tuple{UInt8,UInt8,Missing}}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Bool},1},Int64,Array{Bool,1},Int64,Int64}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Bool},1},Int64,Array{Nothing,1},Int64,Int64}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Float64},1},Int64,Array{Nothing,1},Int64,Int64}) +Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Int64},1},Int64,Array{Int64,1},Int64,Int64}) +Base.precompile(Tuple{typeof(eachindex),Array{Int64,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(eltype),Tuple{Base.CoreLogging.LogLevel,String,Module,Symbol,Symbol,String,Int64}}) +Base.precompile(Tuple{typeof(eltype),Tuple{Char,Char,Float64,Float64,Float64,Char,Char,Float64,Float64,Float64,Char,Char,Float64,Float64,Float64}}) +Base.precompile(Tuple{typeof(fill!),SubArray{Any,2,Array{Any,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},Int64}) +Base.precompile(Tuple{typeof(fill!),SubArray{Any,2,Array{Any,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},String}) +Base.precompile(Tuple{typeof(getindex),Array{Tuple{Int64,Int64},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, BigFloat},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Bool},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Float64},1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Float64},1},BitArray{1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Number},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Rational{Int64}},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, String},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, String},1},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Symbol},1},Array{Bool,1}}) +Base.precompile(Tuple{typeof(getindex),SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),Type{Union{Missing, Real}},Int64,Int64,Int64,Int64,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(hcat),Char,Char}) +Base.precompile(Tuple{typeof(hcat),Float64,Float64}) +Base.precompile(Tuple{typeof(hcat),Int64,Int64,Int64,Vararg{Int64,N} where N}) +Base.precompile(Tuple{typeof(hcat),Int64,Int64,Int64}) +Base.precompile(Tuple{typeof(hcat),Int64,Int64}) +Base.precompile(Tuple{typeof(hcat),UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Vararg{UnitRange{Int64},N} where N}) +Base.precompile(Tuple{typeof(hcat),UnitRange{Int64},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(hvcat),Tuple{Int64,Int64,Int64},Char,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(hvcat),Tuple{Int64,Int64,Int64},Int64,Vararg{Int64,N} where N}) +Base.precompile(Tuple{typeof(indexin),Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Float64,1}}) +Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, Float64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, String},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, Symbol},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Array{Float64,2},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Complex{Float64},1},Array{Complex{Float64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Complex{Int64},1},Array{Complex{Int64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(isequal),Array{Irrational{:π},1},Array{Irrational{:π},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Missing,1},Array{Missing,1}}) +Base.precompile(Tuple{typeof(isequal),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) +Base.precompile(Tuple{typeof(isequal),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) +Base.precompile(Tuple{typeof(isequal),Array{Nothing,1},Array{Nothing,1}}) +Base.precompile(Tuple{typeof(isequal),Array{Rational{Int64},1},Array{Rational{Int64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{String,1},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Array{Float64,2}},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},1},Array{Missing,1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},1},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},2},Array{Union{Missing, Int64},2}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, String},1},Array{String,1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, String},1},Array{Union{Missing, String},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, String},1},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, UInt64},1},Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1}}) +Base.precompile(Tuple{typeof(isequal),SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(isequal),SubArray{String,1,Array{String,1},Tuple{Base.OneTo{Int64}},true},Array{String,1}}) +Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},Array{Missing,1}}) +Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},Array{String,1}}) +Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},Array{Union{Missing, String},1}}) +Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Base.OneTo{Int64}},true},Array{Union{Missing, String},1}}) +Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}) +Base.precompile(Tuple{typeof(lcm),Array{Int64,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{AbstractArray{Bool,1},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{AbstractArray{T,1} where T,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Any,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Array{Float64,1},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Array{T,1} where T,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Array{Union{Missing, Int64},1},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Array{Union{Missing, String},1},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Base.Iterators.Take{Base.Iterators.Repeated{Missing}},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{BitArray{1},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{DataType,1},Array{DataType,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{DataType,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{String,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Type,1}}) +Base.precompile(Tuple{typeof(map),Function,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}},NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}}}) +Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}}}) +Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:res,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}}}) +Base.precompile(Tuple{typeof(map),Function,StepRange{Char,Int64}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{AbstractArray{Bool,1},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Any,1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Float64,1},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{T,1} where T,1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Union{Missing, Int64},1},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Union{Missing, String},1},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Base.Iterators.Take{Base.Iterators.Repeated{Missing}},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{BitArray{1},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},1}}) +Base.precompile(Tuple{typeof(maximum),Array{Union{Missing, Float64},1}}) +Base.precompile(Tuple{typeof(merge!),Dict{Int64,Any},Dict{Int64,Symbol}}) +Base.precompile(Tuple{typeof(merge!),Dict{String,Array{T,1} where T},Dict{String,Array{Float64,1}}}) +Base.precompile(Tuple{typeof(merge!),Dict{String,Union{Missing, Int64}},Dict{String,Missing}}) +Base.precompile(Tuple{typeof(merge!),Dict{Symbol,AbstractArray{T,1} where T},Dict{Symbol,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(merge!),Dict{Symbol,Union{Missing, Int64}},Dict{Symbol,Missing}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:a, :b),Tuple{Int64,Int64}},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:c, :d),Tuple{Int64,Int64}},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:x, :a, :b),Tuple{Int64,Int64,Int64}},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:x, :a, :b, :c, :d),NTuple{5,Int64}},NamedTuple{(:z,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:x,),Tuple{Int64}},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(minimum),Array{Int64,1}}) +Base.precompile(Tuple{typeof(minimum),Array{Union{Missing, Float64},1}}) +Base.precompile(Tuple{typeof(minimum),Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(permute!),Array{Char,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(promote_type),Type{Array{Float64,2}},Type{Union{Missing, Array{Float64,2}}}}) +Base.precompile(Tuple{typeof(promote_type),Type{BigFloat},Type{Union{Missing, BigFloat}}}) +Base.precompile(Tuple{typeof(promote_type),Type{NamedTuple{(:a, :b),Tuple{Int64,Int64}}},Type{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}) +Base.precompile(Tuple{typeof(propertynames),NamedTuple{(:c_function,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(push!),Set{Array{Symbol,1}},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{Array{Array{Int64,1},1},1}}) +Base.precompile(Tuple{typeof(reshape),Array{Float64,1},Colon,Int64}) +Base.precompile(Tuple{typeof(reshape),StepRange{Char,Int64},Int64,Colon,Vararg{Union{Colon, Int64},N} where N}) +Base.precompile(Tuple{typeof(reshape),StepRange{Char,Int64},Tuple{Int64,Colon,Int64}}) +Base.precompile(Tuple{typeof(setindex!),Array{Float64,1},Array{Int64,1},Function}) +Base.precompile(Tuple{typeof(setindex!),Array{Union{Missing, Int64},1},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{UnitRange{Int64}},true},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(setindex!),Dict{Any,Int64},Int64,Tuple{Missing,Int64}}) +Base.precompile(Tuple{typeof(setindex!),Dict{Any,Int64},Int64,Tuple{Missing,Symbol}}) +Base.precompile(Tuple{typeof(setindex!),Dict{Any,Int64},Int64,Tuple{Missing}}) +Base.precompile(Tuple{typeof(setindex!),Dict{String,Array{Float64,1}},Array{Float64,1},String}) +Base.precompile(Tuple{typeof(setindex!),Dict{String,Array{Int64,1}},Array{Int64,1},String}) +Base.precompile(Tuple{typeof(setindex!),Dict{String,Missing},Missing,String}) +Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,Any},UnitRange{Int64},Symbol}) +Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,Array{Int64,1}},Array{Int64,1},Symbol}) +Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,Missing},Missing,Symbol}) +Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,UnitRange{Int64}},UnitRange{Int64},Symbol}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:ID,),Tuple{Float64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:ID1, :ID2),Tuple{Int64,String}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:a,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:d, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:d,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:id,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Tuple{Missing}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Tuple{Symbol,Symbol,Symbol}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Tuple{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Type}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},TypeVar}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Type}) +Base.precompile(Tuple{typeof(showable),MIME{Symbol("text/html")},Any}) +Base.precompile(Tuple{typeof(sortperm),Array{Float64,1}}) +Base.precompile(Tuple{typeof(sortperm),Array{Tuple{Float64,Float64},1}}) +Base.precompile(Tuple{typeof(sortperm),Array{Tuple{Int64,Float64},1}}) +Base.precompile(Tuple{typeof(sortperm),Array{Tuple{Int64,Int64},1}}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:ID,),Tuple{Float64}},String}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:ID,),Tuple{Union{Missing, Int64}}},String}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:ID1, :ID2),Tuple{Int64,String}},String}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:a, :b),Tuple{Int64,Int64}},String}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:a,),Tuple{Int64}},String}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:d, :b),Tuple{Int64,Int64}},String}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:d,),Tuple{Int64}},String}) +Base.precompile(Tuple{typeof(string),NamedTuple{(:id,),Tuple{Int64}},String}) +Base.precompile(Tuple{typeof(string),String,Array{Symbol,1},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(string),String,Tuple{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(string),Type{T} where T,String}) +Base.precompile(Tuple{typeof(sum),Array{Real,1}}) +Base.precompile(Tuple{typeof(sum),Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(sum),Base.SkipMissing{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Float64}}}}) +Base.precompile(Tuple{typeof(sum),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(tempname)}) +Base.precompile(Tuple{typeof(vcat),Array{Missing,1},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(vcat),Array{Symbol,1},Symbol}) +Base.precompile(Tuple{typeof(vcat),Array{UnionAll,1},Type{T} where T}) +Base.precompile(Tuple{typeof(vcat),Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}) +Base.precompile(Tuple{typeof(vcat),Int64,Int64,Int64,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(vcat),Int64,UnitRange{Int64},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(vcat),Missing,Missing,Missing,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(vcat),Symbol,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(vcat),UnitRange{Int64},Array{Missing,1}}) +Base.precompile(Tuple{typeof(vcat),UnitRange{Int64},Missing,Missing,Vararg{Missing,N} where N}) +Base.precompile(Tuple{typeof(vcat),UnitRange{Int64},Missing}) +Base.precompile(Tuple{typeof(view),Array{Array{Int64,1},1},Base.OneTo{Int64}}) +Base.precompile(Tuple{typeof(view),Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(view),Array{Bool,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(view),Array{Float32,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(view),Array{Float64,1},Function}) +Base.precompile(Tuple{typeof(view),Array{Float64,1},Int64}) +Base.precompile(Tuple{typeof(view),Array{Int64,1},Function}) +Base.precompile(Tuple{typeof(view),Array{Int64,1},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),Array{Union{Missing, Float64},1},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),Array{Union{Missing, Int64},1},Base.OneTo{Int64}}) +Base.precompile(Tuple{typeof(view),Array{Union{Missing, Int64},1},StepRange{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),Array{Union{Missing, String},1},StepRange{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),Array{Union{Missing, Symbol},1},Base.OneTo{Int64}}) +Base.precompile(Tuple{typeof(view),Array{Union{Missing, Symbol},1},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Int64}) +Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Function}) +Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},Array{Int64,1}}) +Base.precompile(Tuple{typeof(view),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},BitArray{1}}) +Base.precompile(Tuple{typeof(view),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},Function}) +Base.precompile(Tuple{typeof(write),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},UInt8,UInt8,Vararg{UInt8,N} where N}) +Base.precompile(Tuple{typeof(∉),SubArray{Symbol,1,Array{Symbol,1},Tuple{UnitRange{Int64}},true},Set{Array{Symbol,1}}}) +let fbody = try __lookup_kwbody__(which(Base.with_output_color, (Function,Symbol,Base.TTY,String,Vararg{String,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,typeof(Base.with_output_color),Function,Symbol,Base.TTY,String,Vararg{String,N} where N,)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{AbstractArray{T,1} where T,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{AbstractArray{T,1} where T,1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Any,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Any,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{BigFloat,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{BigFloat,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{BigInt,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{BigInt,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Bool,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Bool,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Complex{Float64},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Complex{Float64},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Complex{Int64},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Complex{Int64},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Float64,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Float64,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Int64,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Int64,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Irrational{:π},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Irrational{:π},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Missing,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Missing,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Rational{Int64},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Rational{Int64},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{String,1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{String,1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{T,1} where T,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{T,1} where T,1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Missing, Float64},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Missing, Float64},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Missing, Int64},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Missing, Int64},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Missing, UInt64},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Missing, UInt64},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Nothing, String},1},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Nothing, String},1},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{DataType,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{DataType,1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, Float64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, Float64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, Int64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, Int64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, String},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, String},1},)) + end +end +let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, Symbol},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, Symbol},1},)) + end +end +let fbody = try __lookup_kwbody__(which(any, (Function,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(any),Function,Array{Any,1},)) + end +end +let fbody = try __lookup_kwbody__(which(any, (Function,Array{Missing,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(any),Function,Array{Missing,1},)) + end +end +let fbody = try __lookup_kwbody__(which(any, (Function,Array{Union{Missing, Float64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(any),Function,Array{Union{Missing, Float64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(any, (Function,Array{Union{Missing, Int64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(any),Function,Array{Union{Missing, Int64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(any, (Function,Base.OneTo{Int64},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(any),Function,Base.OneTo{Int64},)) + end +end +let fbody = try __lookup_kwbody__(which(any, (Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(any),Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Number,1,Array{Number,1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Number,1,Array{Number,1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Real,1,Array{Real,1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Real,1,Array{Real,1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Irrational{:π}, Missing},1,Array{Union{Irrational{:π}, Missing},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Irrational{:π}, Missing},1,Array{Union{Irrational{:π}, Missing},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Array{Float64,2}},1,Array{Union{Missing, Array{Float64,2}},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Array{Float64,2}},1,Array{Union{Missing, Array{Float64,2}},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, BigFloat},1,Array{Union{Missing, BigFloat},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, BigFloat},1,Array{Union{Missing, BigFloat},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Bool},1,Array{Union{Missing, Bool},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Bool},1,Array{Union{Missing, Bool},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Complex{Float64}},1,Array{Union{Missing, Complex{Float64}},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Complex{Float64}},1,Array{Union{Missing, Complex{Float64}},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Int64, Int8},1,Array{Union{Missing, Int64, Int8},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Int64, Int8},1,Array{Union{Missing, Int64, Int8},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Number},1,Array{Union{Missing, Number},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Number},1,Array{Union{Missing, Number},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Rational{Int64}},1,Array{Union{Missing, Rational{Int64}},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Rational{Int64}},1,Array{Union{Missing, Rational{Int64}},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Real},1,Array{Union{Missing, Real},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Real},1,Array{Union{Missing, Real},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, UnitRange{Int64}},1,Array{Union{Missing, UnitRange{Int64}},1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, UnitRange{Int64}},1,Array{Union{Missing, UnitRange{Int64}},1},Tuple{Array{Int64,1}},false},)) + end +end +let fbody = try __lookup_kwbody__(which(printstyled, (String,Vararg{String,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Symbol,typeof(printstyled),String,Vararg{String,N} where N,)) + end +end +let fbody = try __lookup_kwbody__(which(sort!, (Array{Bool,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sort!),Array{Bool,1},)) + end +end +let fbody = try __lookup_kwbody__(which(sortperm, (Array{Float64,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Float64,1},)) + end +end +let fbody = try __lookup_kwbody__(which(sortperm, (Array{Int64,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Int64,1},)) + end +end +let fbody = try __lookup_kwbody__(which(sortperm, (Array{Tuple{Float64,Float64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Tuple{Float64,Float64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(sortperm, (Array{Tuple{Int64,Float64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Tuple{Int64,Float64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(sortperm, (Array{Tuple{Int64,Int64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Tuple{Int64,Int64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(sortperm, (Array{Union{Missing, Int64},1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Union{Missing, Int64},1},)) + end +end +let fbody = try __lookup_kwbody__(which(sprint, (Function,SubString{String},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Int64,typeof(sprint),Function,SubString{String},Vararg{Any,N} where N,)) + end +end + +# Tables.jl +Base.precompile(Tuple{typeof(Tables._buildcolumns),Tables.IteratorWrapper{Array{Any,1}},Tables.IteratorRow{UnitRange{Int64}},Int64,Tables.Schema{(:start, :stop),nothing},Tuple{Tables.EmptyVector,Tables.EmptyVector},Base.RefValue{Any}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}}}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}}}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}}}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{UnitRange{Int64}},true}}}}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:x,),Tuple{Array{Int64,1}}}}}) +Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:y,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}) +Base.precompile(Tuple{typeof(Tables.datavaluenamedtuple),Tables.Schema{(:a, :b),Tuple{Int64,Union{Missing, Float64}}}}) +Base.precompile(Tuple{typeof(Tables.datavaluerows),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}}}) +Base.precompile(Tuple{typeof(Tables.datavaluerows),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{UnitRange{Int64}},true}}}}) +Base.precompile(Tuple{typeof(Tables.eachcolumns),typeof(Tables.add_or_widen!),Tables.Schema{(:a, :b, :c),nothing},Tables.IteratorRow{NamedTuple{(:a, :b, :c),Tuple{Int64,Symbol,Missing}}},Tuple{Array{Int64,1},Array{Symbol,1},Array{Missing,1}},Int64,Base.RefValue{Any},Base.SizeUnknown}) +Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}) +Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:x1, :x2, :x3, :x4),NTuple{4,Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}) +Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b),Tuple{Int64,Symbol}}}}) +Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}}}}) +Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b, :c),Tuple{Int64,Symbol,Missing}}}}) +Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a,),Tuple{Int64}}}}) +Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Array{Int64,1},Array{Symbol,1},Tables.EmptyVector},Int64,Array{Missing,1}}) +Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Array{Int64,1},Tables.EmptyVector,Tables.EmptyVector},Int64,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Array{Int64,1},Tables.EmptyVector},Int64,Array{Int64,1}}) +Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Tables.EmptyVector,Tables.EmptyVector,Tables.EmptyVector},Int64,Array{Int64,1}}) +Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Tables.EmptyVector,Tables.EmptyVector},Int64,Array{Int64,1}}) +Base.precompile(Tuple{typeof(Tables.rowtable),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) +Base.precompile(Tuple{typeof(Tables.rowtable),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) +Base.precompile(Tuple{typeof(Tables.rowtable),NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(Tables.schema),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}}}},Tuple{Int64,Tuple{Int64},Tuple{Int64}}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}}}}}) + +# DataFrames +Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) +Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1}}) +Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) +Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{ByRow{typeof(-)},Array{Int64,1}}) +Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{ByRow{typeof(/)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) +Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) +Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},N} where N}) +Base.precompile(Tuple{ByRow{typeof(first)},NamedTuple{(:a,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(DataFrame!),Array{Int64,2}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},typeof(DataFrame!)}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Float64,1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Markdown.MD,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int64},Char,UnitRange{Int64},Char,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{Symbol,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :B),Tuple{Int64,Missing,Float64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:B, :A),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Color, :Mass),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass),Tuple{Array{String,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job, :_merge),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :SID),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Mass),Tuple{Array{Union{Missing, String},1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Ref,),Tuple{NamedTuple{(),Tuple{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right, :_rightX),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_right),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b),Tuple{UnitRange{Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Array{Int64,1},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Union{Missing, Int64},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Symbol,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int64},Array{Int64,0}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Nothing,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},StepRange{Char,Int64},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Symbol},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int64},Array{Int64,0},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :Ref),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},NamedTuple{(),Tuple{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Array{Union{Missing, Int64},1},Bool}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :z),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int64,Array{Any,1},Bool}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Char,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Symbol,1},Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :v1),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{UnitRange{Int64},Array{Bool,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1, :x2),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Complex{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, Function},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Irrational{:π}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_function,),Tuple{Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :a),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :d),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),NTuple{4,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :d),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int64,1},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int64,1}},Pair{Symbol,Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},Tuple{String,String}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :col),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_f1, :g_f2),Tuple{Array{Int64,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :keep, :g_function),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Array{Float64,2},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{BigFloat,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{DataFrame,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Irrational{:π},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Number,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Rational{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Real,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Array{Float64,2}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Bool},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Rational{Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Real},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UnitRange{Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{UnitRange{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{Array{Int64,1},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1, :x2),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2, :y),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g2, :x, :g1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c, :d),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x, :y),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{UnitRange{Int64},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),NTuple{4,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :ID2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :id1_1, :x_right),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{String,AbstractArray{Int64,1}},Pair{String,AbstractArray{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{Symbol,AbstractArray{Int64,1}},Pair{Symbol,AbstractArray{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :a, :b, :c, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :p_1, :q_1, :p_2, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int64},1},Array{Int64,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int64,Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g, :y),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Tuple{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1, :x2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x_first),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{String,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Bool}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{AbstractArray{T,1} where T,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int64,1},Int64,Int64,Missing,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_last, :x2_last, :x3_last, :x4_last),Tuple{Array{Int64,1},Int64,Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :copycols),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},Bool}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x3, :x2, :x4),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first),Tuple{Int64,Int64,Missing,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first, :x1),Tuple{Int64,Int64,Missing,Missing,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last),NTuple{4,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int64,Int64,Int64,Int64,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x3, :x1, :x2),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x4, :x1, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int64},1},Array{Tuple{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,2},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrame,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :y_function),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{AbstractDataFrame,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{String}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.append!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(append!),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Pair{Array{Symbol,1},typeof(+)},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}},Pair{Int64,Pair{typeof(sum),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Array{String,1},typeof(identity)},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Array{Symbol,1},typeof(identity)},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{String,typeof(identity)},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Symbol,Pair{typeof(identity),Symbol}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Symbol,typeof(identity)},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{typeof(nrow),String},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{typeof(nrow),Symbol},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine_helper)),NamedTuple{(:keepkeys, :ungroup, :copycols, :keeprows, :renamecols),NTuple{5,Bool}},typeof(DataFrames.combine_helper),Array{Pair,1},GroupedDataFrame{DataFrame},Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{Int64}}},typeof(describe),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),DataFrame,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :renamecols),Tuple{Array{Any,1},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :validate),Tuple{Symbol,Tuple{Bool,Bool}}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{String,Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.issorted)),NamedTuple{(:rev,),Tuple{Tuple{Bool,Bool,Bool}}},typeof(issorted),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.issorted)),NamedTuple{(:rev,),Tuple{Tuple{Bool,Bool,Bool}}},typeof(issorted),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(sum)},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Symbol,1},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Symbol,1},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Pair{AsTable,B} where B,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Pair{String,ByRow{typeof(-)}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Pair{String,Pair{typeof(first),String}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{AsTable,ByRow{typeof(identity)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{AsTable,typeof(sum)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,String,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,InvertedIndex{Array{Symbol,1}},All{Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Int64,1},typeof(+)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(sum)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Colon,Pair{typeof(+),Symbol}},Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Colon,Pair{typeof(+),Symbol}},Pair{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,ByRow{typeof(+)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,typeof(+)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Regex,ByRow{typeof(rand)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(sum),Symbol}},Pair{String,Pair{typeof(sum),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(first)},Pair{String,typeof(first)},Vararg{Pair{String,typeof(first)},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(last)},Pair{String,typeof(last)},Vararg{Pair{String,typeof(last)},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(sum)},Pair{String,typeof(sum)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(identity)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{UnitRange{Int64},ByRow{typeof(+)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{UnitRange{Int64},typeof(+)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{typeof(nrow),Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,String,Pair{String,String},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Array{Pair{String,typeof(first)},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Array{Pair{String,typeof(last)},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Array{Pair{_A,typeof(sum)} where _A,1},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Between{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Regex,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Array{Pair{_A,typeof(sum)} where _A,1},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Between{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(identity)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Function,Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.ourshow)),NamedTuple{(:styled,),Tuple{Bool}},typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Missing,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,String,Bool}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,Symbol,Bool}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,Dict{Symbol,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Float64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Missing}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:z, :y, :x),Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{10,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{12,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{6,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{9,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rename!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(rename!),DataFrames.Index,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat!),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat!),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{String}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Any,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Regex}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Regex}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{String}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :splitcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :splitcols, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :splitcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:truncate, :rowlabel),Tuple{Int64,Symbol}},typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_eltype,),Tuple{UnionAll}},typeof(stack),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{Symbol,Symbol,Bool}},typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view,),Tuple{Bool}},typeof(stack),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),DataFrame,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup, :copycols),Tuple{Bool,Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unique)),NamedTuple{(:view,),Tuple{Bool}},typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.std),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{DataFrame,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Array{Float64,2}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, DataFrame},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{UnitRange{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigInt,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Missing,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigInt,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) +Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) +Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{Type{DataFrameRow},DataFrame,Int64,Function}) +Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) +Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Array{Int64,1}}) +Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Regex}) +Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Between{Symbol,Symbol}}) +Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},All{Tuple{}}}) +Base.precompile(Tuple{Type{DataFrame},Array{AbstractArray{Int64,1},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Any,2}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Any,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Bool,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Int64,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{String,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{T,1} where T,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Float64},1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int64},1},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{T,1,UInt32,V,C,Union{}} where C where V where T,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Float64,2}}) +Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int64,1}},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,AbstractArray{Int64,1}},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Real,2},Array{String,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int64,Int64},2}}) +Base.precompile(Tuple{Type{DataFrame},Array{UnitRange,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Array{Symbol,1}}) +Base.precompile(Tuple{Type{DataFrame},Base.ReshapedArray{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Tuple{}}}) +Base.precompile(Tuple{Type{DataFrame},BitArray{2},Array{String,1}}) +Base.precompile(Tuple{Type{DataFrame},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{Type{DataFrame},DataFrame}) +Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int64}}}) +Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int64}}}) +Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}) +Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) +Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) +Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}},Vararg{Pair{String,Array{Any,1}},N} where N}) +Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Float64,1}},Vararg{Pair{String,Array{Float64,1}},N} where N}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Int64}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}) +Base.precompile(Tuple{Type{DataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{String,UnitRange{Int64}},Pair{String,Array{Int64,1}}}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Int64,1}}}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},UnitRange{Int64}}}) +Base.precompile(Tuple{Type{Dict},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) +Base.precompile(Tuple{Type{Tuple},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{typeof(<),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) +Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},DataFrames.StackedVector{Union{Missing, Int64}}}) +Base.precompile(Tuple{typeof(==),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int64},DataFrames.RepeatedVector{Int64}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{String},DataFrames.RepeatedVector{String}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Float64}},DataFrames.RepeatedVector{Union{Missing, Float64}}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) +Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) +Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) +Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) +Base.precompile(Tuple{typeof(==),GroupedDataFrame{DataFrame},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,3},DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,2}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,3}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.OneTo{Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{UnionAll}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Function,DataFrame,Val{2}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,2}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Float64,2}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Type{T} where T,Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Type{T} where T,AsTable,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{NamedTuple{(:a, 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:b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int64},1},DataFrames.RepeatedVector{String},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int64}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{ByRow{typeof(sin)},Symbol}},1},UnitRange{Int64},Int64}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{UnitRange{Int64},1},Pair{Int64,Pair{ByRow{typeof(sin)},Symbol}},Int64}) +Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Dict{Symbol,Missing}}) +Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Missing}}}) +Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Tuple{Missing}}) +Base.precompile(Tuple{typeof(Base.vect),DataFrame,Vararg{DataFrame,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),DataFrameRow{DataFrame,DataFrames.Index},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.vect),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Vararg{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},N} where N}) +Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) +Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) +Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int64,1}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int64,1}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,Array{Float64,1},DataFrame,Int64,Bool}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Bool}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Int64,Bool}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,1},DataFrame,Int64,Bool}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine),typeof(identity),GroupedDataFrame{DataFrame},Nothing,Bool,Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,1},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,2},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,2},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,2},Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.RefValue{UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,String}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:nrow,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:v,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:v,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xmax,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z, :xzz),Tuple{Int64,Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Tuple{Array{Int64,1},Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,String}},Tuple{Array{Int64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:c,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:function,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:nrow,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:res,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:v,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Tuple{Array{Complex{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Tuple{Array{Rational{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Tuple{Array{Rational{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{Union{Nothing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}},Int64,Int64,Type{T} where T,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Tuple{Array{Tuple{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{UnitRange{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{UnitRange{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x_sum,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:z,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,NTuple{4,Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Missing,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:v,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{String,1}}},Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Union{Missing, Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},NTuple{4,Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, String},1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{String,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Type{T} where T,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{UnitRange{Int64}}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{StepRange{Char,Int64},Tuple{Bool},Tuple{Int64}}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,2},Tuple{Bool,Bool},Tuple{Int64,Int64}},Base.Broadcast.Extruded{Array{Int64,2},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Array{Int64,1},Tuple{Bool},Tuple{Int64}}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._describe),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,Function,Array{Int64,1},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,Function,Array{String,1},Vararg{Array{String,1},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Float64,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{String,1},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),GroupedDataFrame{DataFrame},Function,Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{AbstractArray{Int64,1},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Any,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{A,Pair{typeof(+),Symbol}} where A,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Array{Int64,1},Pair{typeof(-),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{AsTable,Pair{UnionAll,Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{AsTable,Pair{typeof(sum),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,B} where B,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(+),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(first),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(last),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(length),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(sum),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{UnitRange{Int64},Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{UnitRange{Int64},Pair{typeof(+),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Any,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{Int64,Pair{typeof(sum),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Pair{Int64,Pair{typeof(parent),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{Int64,B} where B,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{Int64,Pair{typeof(first),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{Int64,Pair{typeof(identity),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{Pair{Int64,Pair{typeof(length),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{Int64,Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{Int64,Pair{typeof(+),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{Int64,Pair{typeof(length),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{UnitRange{Int64},Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{UnitRange{Int64},Pair{typeof(+),Symbol}},1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._names),DataFrames.SubIndex{DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,DataFrames.RepeatedVector{Union{Missing, Int64}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,DataFrames.RepeatedVector{Union{Missing, Int64}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,DataFrames.RepeatedVector{Union{Missing, String}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Any,1},GroupedDataFrame{DataFrame},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},GroupedDataFrame{DataFrame},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1},GroupedDataFrame{DataFrame},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.StackedVector{Union{Missing, Float64}},GroupedDataFrame{DataFrame},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}},Array{Int64,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Any,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.StackedVector{Union{Missing, Float64}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.StackedVector{Union{Missing, Int64}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Function}) +Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Any,1}},Int64,Tuple{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.compute_indices),Array{Int64,1},Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{BigInt,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Number,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Number},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Real},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Number,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Real,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Int64, Int8},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Number},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Real},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Any,1},Tuple{Bool},Tuple{Int64}},Int64}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Number},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Real},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Real,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Float64},1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Int64},1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Nothing, Int64},1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_append!),Bool,Array{String,1},Array{Missing,1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(/)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.cor),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.fill_row!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{String,1}},Int64,Int64,Tuple{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1}}}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Any,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Int64,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{String,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}},Bool}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},BigFloat,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},CategoricalArrays.CategoricalValue{Int64,UInt32},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Char,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Irrational{:π},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Markdown.MD,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},UnitRange{Int64},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.PipeEndpoint,Float32,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.PipeEndpoint,Float64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.PipeEndpoint,Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Float64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},BigFloat,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},CategoricalArrays.CategoricalValue{Int64,UInt32},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Char,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Irrational{:π},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Markdown.MD,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Missing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Nothing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},UnitRange{Int64},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Float32,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),NTuple{4,Array{Float64,1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int64,1}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Float64,1}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{String,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Array{Int64,1},Pair{typeof(+),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{AsTable,Pair{ByRow{typeof(first)},Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Base.OneTo{Int64},Pair{typeof(+),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{ByRow{typeof(-)},Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{typeof(identity),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{typeof(length),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{typeof(sum),Symbol}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{UnitRange{Int64},Pair{ByRow{typeof(/)},Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{UnitRange{Int64},Pair{ByRow{typeof(/)},Symbol}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) +Base.precompile(Tuple{typeof(DataFrames.showrows),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame,UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Bool,Bool,Symbol,Bool,Bool,Nothing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.showrows),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Bool,Bool,Symbol,Bool,Bool,Nothing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.showrows),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Bool,Bool,Symbol,Bool,Bool,Int64,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Tuple{Array{Char,1},Array{Char,1},Array{Char,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),DataFrame}) +Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(),Tuple{}},DataFrame}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b),Tuple{Int64,Union{Missing, Float64}}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int64,Int64,Int64}},DataFrame}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},DataFrame}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x,),Tuple{Int64}},DataFrame}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2, :x3, :x4),NTuple{4,Float64}},DataFrame}) +Base.precompile(Tuple{typeof(Tables.namedtupleiterator),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Tables.schema),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(allowmissing),DataFrame,InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{typeof(nrow),Symbol},1}}) +Base.precompile(Tuple{typeof(append!),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int64}}) +Base.precompile(Tuple{typeof(append!),DataFrame,Dict{Symbol,AbstractArray{T,1} where T}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Int64}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Symbol,1}}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int64}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Symbol}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Type{Integer}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame}) +Base.precompile(Tuple{typeof(categorical),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Bool,1}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Int64}) +Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Colon}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Regex}) +Base.precompile(Tuple{typeof(categorical),DataFrame,String}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int64}}) +Base.precompile(Tuple{typeof(categorical),DataFrames.RepeatedVector{String}}) +Base.precompile(Tuple{typeof(categorical),DataFrame}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Colon}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},String}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},Type{Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(minimum)}}) +Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Array{Int64,1},Pair{ByRow{typeof(/)},Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1}}) +Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{AsTable,Pair{UnionAll,Symbol}},1}}) +Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,typeof(first)},1}}) +Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,typeof(last)},1}}) +Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,typeof(sum)},1}}) +Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) +Base.precompile(Tuple{typeof(combine),DataFrame,Pair{Symbol,typeof(identity)}}) +Base.precompile(Tuple{typeof(combine),DataFrame,Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(combine),DataFrame,Pair{typeof(nrow),Symbol}}) +Base.precompile(Tuple{typeof(combine),Function,DataFrame}) +Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Symbol},1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{String,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Colon,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Int64,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,ByRow{typeof(identity)}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{InvertedIndex{Symbol},ByRow{typeof(/)}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Regex,typeof(Statistics.cor)}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{String,typeof(identity)}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Bool,1},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int64,1},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) 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+Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any,Int64},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol,Int64},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, NamedTuple{(:a, :b),Tuple{Symbol,Int64}}},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, Tuple{Symbol,Int64}},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, Tuple{Symbol,Int64}},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int64}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},BitArray{1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Any,Any}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Int64,Any}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Any}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Any}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{NamedTuple{(:a, :b),Tuple{Missing,Int64}}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Tuple{Missing,Int64}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Tuple{Missing,Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{UnitRange{Bool}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Float64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,String}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int64,Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:b, :a),Tuple{Int64,Symbol}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Tuple{}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Bool}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},InvertedIndex{UnitRange{Int64}},InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Int64,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(groupby),DataFrame,String}) +Base.precompile(Tuple{typeof(groupby),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(groupindices),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(hash),DataFrame}) +Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},Tuple{Int64,Int64}}) +Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(hcat),DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) +Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,Array{String,1}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Any,1}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Array{Int64,1},1}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{String,1}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int64}},Pair{Symbol,Array{Int64,0}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,String},Pair{Symbol,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(isequal),Array{DataFrame,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) +Base.precompile(Tuple{typeof(isequal),Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1},Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1}}) +Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(isequal),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(isless),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(issorted),UnitRange{Int64},DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}},Tuple{Int64,Tuple{Int64},Tuple{Base.OneTo{Int64},Int64}}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}},Tuple{Tuple{Base.OneTo{Int64},Int64},Tuple{Base.OneTo{Int64},Int64}}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}}}) +Base.precompile(Tuple{typeof(iterate),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(length),DataFrames.StackedVector{Float64}}) +Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(map),Function,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:c, :d),Tuple{Int64,Int64}},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:x, :a, :b),Tuple{Int64,Int64,Int64}},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(:x,),Tuple{Int64}},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(names),DataFrame,Function}) +Base.precompile(Tuple{typeof(names),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(names),DataFrame,Type{T} where T}) +Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},All{Tuple{String}}}) +Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},All{Tuple{}}}) +Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(names),DataFrame}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},All{Tuple{}}}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Regex}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(nonunique),DataFrame,Function}) +Base.precompile(Tuple{typeof(nonunique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(promote_type),Type{DataFrames.DataFrameColumns{DataFrame}},Type{Union{Missing, Nothing, GroupedDataFrame{DataFrame}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,2}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Any,Int64}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int64}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Any}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Bool}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Int64},Dict{Symbol,Int64}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,String}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Bool}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:first, :second),Tuple{Int64,String}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int64}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Float64,String}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Char}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Int64}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String,Int64}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Symbol}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int64}}) +Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{AbstractDataFrame,1}}) +Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{DataFrame,1}}) +Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(rename!),DataFrame,Dict{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(rename!),DataFrames.Index,Array{Pair{Symbol,Symbol},1}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,String},1}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,Symbol},1}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{Symbol,String},1}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,String}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,Symbol}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,String}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Symbol,String}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{BigInt,Symbol}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Bool,Symbol}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,String}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol},Vararg{Pair{Symbol,Symbol},N} where N}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{UInt8,Symbol}}) +Base.precompile(Tuple{typeof(rename),Function,DataFrame}) +Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) +Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) +Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrame}) +Base.precompile(Tuple{typeof(select!),DataFrame,InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(select!),DataFrame,Pair{Symbol,Symbol},Vararg{Pair{Symbol,Symbol},N} where N}) +Base.precompile(Tuple{typeof(select!),DataFrame,String,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Int64,String}}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Int64,Symbol}}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{String,Int64}}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{String,String}}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Symbol,Symbol}}}) +Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(first)},1},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(first)},1}}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(last)},1},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(last)},1}}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(sum)},1}}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{Symbol,1},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Array{typeof(nrow),1}}) +Base.precompile(Tuple{typeof(select),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(select),DataFrame,Between{Int64,Symbol}}) +Base.precompile(Tuple{typeof(select),DataFrame,Between{Symbol,Int64}}) +Base.precompile(Tuple{typeof(select),DataFrame,Between{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(select),DataFrame,Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,InvertedIndex{Array{Symbol,1}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Int64,1},typeof(+)}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Symbol,1},Symbol}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{AsTable,typeof(sum)}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Colon,Pair{typeof(+),Symbol}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Int64,Symbol}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Regex,ByRow{typeof(rand)}}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{String,Symbol}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{String,typeof(identity)}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Pair{Symbol,Pair{typeof(identity),Symbol}},N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Symbol},Vararg{Pair{Symbol,Symbol},N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{typeof(select),DataFrame,Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,String,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,String}) +Base.precompile(Tuple{typeof(select),DataFrame,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Regex}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Symbol}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,typeof(sum)},1}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{_A,typeof(sum)} where _A,1}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Symbol,1}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Regex}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{typeof(nrow),1}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Function,Vararg{Function,N} where N}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{typeof(nrow),1}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Function,Vararg{Function,N} where N}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{typeof(nrow),1}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Vararg{Function,N} where N}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Int64,ByRow{typeof(+)}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Int64,typeof(+)}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},ByRow{typeof(+)}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},typeof(+)}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int64}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Array{Bool,1},Int64}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Base.OneTo{Int64},Int64}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Colon,Int64}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},Colon,All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Nothing,1},typeof(!),Symbol}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},Colon,Symbol}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int64},Int64}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Colon,Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},UnitRange{Int64},Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,CategoricalArrays.CategoricalArray{Int64,1,UInt8,Int64,CategoricalArrays.CategoricalValue{Int64,UInt8},Union{}},typeof(!),Symbol}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Array{Bool,1},Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Colon,All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index},Int64,Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Dict{String,Int64},Int64,Array{String,1}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:b, :a),Tuple{Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Tuple{Int64,Int64},Int64,Colon}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,UnitRange{Int64},Colon,Int64}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},Function}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :c),Tuple{Int64,Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int64,Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},Function}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{Any,Int64},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{String,Int64},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},Colon,All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1},Colon,Int64}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,Colon,All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Colon,Int64}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Colon,Int64}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},Colon,Int64}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},DataFrame,UnitRange{Int64},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.RepeatedVector{Int64}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int64}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/latex")},DataFrame}) +Base.precompile(Tuple{typeof(similar),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Type{Tuple{Missing,Int64}}}) +Base.precompile(Tuple{typeof(similar),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Type{Tuple{Missing}}}) +Base.precompile(Tuple{typeof(similar),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Type{Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(sort),DataFrame,Function}) +Base.precompile(Tuple{typeof(sort),DataFrame,InvertedIndex{Array{Any,1}}}) +Base.precompile(Tuple{typeof(sort),DataFrame,Regex}) +Base.precompile(Tuple{typeof(sort),DataFrame}) +Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) +Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Symbol}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) +Base.precompile(Tuple{typeof(stack),DataFrame,Regex}) +Base.precompile(Tuple{typeof(stack),DataFrame,Symbol,Array{Any,1}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(stack),DataFrame}) +Base.precompile(Tuple{typeof(transform!),DataFrame,Array{Pair{String,Pair{typeof(first),String}},1}}) +Base.precompile(Tuple{typeof(transform!),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(transform!),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(transform!),DataFrame,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{typeof(transform!),DataFrame,String,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(transform!),DataFrame,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Array{Pair{AsTable,B} where B,1}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Array{Pair{String,ByRow{typeof(-)}},1}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Array{Pair{String,Pair{typeof(first),String}},1}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Pair{AsTable,typeof(sum)}}) +Base.precompile(Tuple{typeof(transform),DataFrame,String,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(transform),DataFrame,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,ByRow{typeof(-)}},1}}) +Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{String,Pair{typeof(first),String}},1}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Bool}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Symbol,1}}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Regex}) +Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(unique),DataFrame}) +Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Bool}) +Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol,Symbol}) 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+Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt64},1},Colon}) +Base.precompile(Tuple{typeof(view),DataFrame,BigInt,Regex}) +Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},BitArray{1}}) +Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Regex}) +Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Symbol}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,Int64}) +Base.precompile(Tuple{typeof(view),DataFrame,Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),DataFrame,Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),DataFrame,Int64,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Regex}) +Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),InvertedIndex{InvertedIndex{Regex}}}) +Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{InvertedIndex{Colon}}}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{InvertedIndex{Regex}}}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int64,Int64}},StepRange{Int64,Int64},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{BigInt,1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Bool,1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},BitArray{1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Symbol}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Integer,1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{UInt64,1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, BigInt},1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Int64},1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Integer},1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, UInt64},1},Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Colon}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Regex}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},BitArray{1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Symbol}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Int64}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Symbol}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UInt64,Regex}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Function,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Int64}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64},Symbol}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function,Array{Int64,1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,All{Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Regex}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),UnitRange{Int64}}) \ No newline at end of file From 460580160d5572b41161cac16d74479ca9359a5d Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 13:08:34 +0100 Subject: [PATCH 02/17] Update to current master --- src/{ => other}/precompile.jl | 7369 +++++++++++++++------------------ src/other/utils.jl | 4 +- 2 files changed, 3456 insertions(+), 3917 deletions(-) rename src/{ => other}/precompile.jl (64%) diff --git a/src/precompile.jl b/src/other/precompile.jl similarity index 64% rename from src/precompile.jl rename to src/other/precompile.jl index 153b0a8238..0211f24879 100644 --- a/src/precompile.jl +++ b/src/other/precompile.jl @@ -1,3989 +1,3528 @@ -const __bodyfunction__ = Dict{Method,Any}() - -# Find keyword "body functions" (the function that contains the body -# as written by the developer, called after all missing keyword-arguments -# have been assigned values), in a manner that doesn't depend on -# gensymmed names. -# `mnokw` is the method that gets called when you invoke it without -# supplying any keywords. -function __lookup_kwbody__(mnokw::Method) - function getsym(arg) - isa(arg, Symbol) && return arg - @assert isa(arg, GlobalRef) - return arg.name - end - - f = get(__bodyfunction__, mnokw, nothing) - if f === nothing - fmod = mnokw.module - # The lowered code for `mnokw` should look like - # %1 = mkw(kwvalues..., #self#, args...) - # return %1 - # where `mkw` is the name of the "active" keyword body-function. - ast = Base.uncompressed_ast(mnokw) - if isa(ast, Core.CodeInfo) && length(ast.code) >= 2 - callexpr = ast.code[end-1] - if isa(callexpr, Expr) && callexpr.head == :call - fsym = callexpr.args[1] - if isa(fsym, Symbol) - f = getfield(fmod, fsym) - elseif isa(fsym, GlobalRef) - if fsym.mod === Core && fsym.name === :_apply - f = getfield(mnokw.module, getsym(callexpr.args[2])) - elseif fsym.mod === Core && fsym.name === :_apply_iterate - f = getfield(mnokw.module, getsym(callexpr.args[3])) - else - f = getfield(fsym.mod, fsym.name) - end - else - f = missing - end - else - f = missing - end - else - f = missing - end - __bodyfunction__[mnokw] = f - end - return f -end - -# Core -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Any,Int64},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Any},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Int64},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Symbol,Int64},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Tuple{Symbol},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Core.Array{Base.Dict{Core.Symbol,V} where V,1}}) - -# Base -Base.precompile(Tuple{Core.kwftype(typeof(Base.cat)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(cat),Missing,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.cat)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(cat),UnitRange{Int64},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.cat_t)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(Base.cat_t),Type{Int64},Int64,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.cat_t)),NamedTuple{(:dims,),Tuple{Val{1}}},typeof(Base.cat_t),Type{UnionAll},Array{UnionAll,1},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.cat_t)),NamedTuple{(:dims,),Tuple{Val{2}}},typeof(Base.cat_t),Type{Any},Char,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.printstyled)),NamedTuple{(:bold, :color),Tuple{Bool,Symbol}},typeof(printstyled),Base.TTY,String,Vararg{String,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.printstyled)),NamedTuple{(:bold, :color),Tuple{Bool,Symbol}},typeof(printstyled),String,String,Vararg{String,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),UnitRange{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner,),Tuple{Array{Int64,1}}},typeof(repeat),Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner,),Tuple{Int64}},typeof(repeat),Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:inner,),Tuple{Int64}},typeof(repeat),StepRange{Char,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Array{Int64,1}}},typeof(repeat),Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Array{Int64,1}}},typeof(repeat),Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Int64}},typeof(repeat),Array{Union{Missing, Symbol},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(Base.repeat)),NamedTuple{(:outer,),Tuple{Int64}},typeof(repeat),StepRange{Char,Int64}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Dict{Symbol,Any},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Dict{Symbol,Int64},1}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{Dict{Symbol,Symbol},1}}) -Base.precompile(Tuple{Type{Array{Float64,1}},Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{Type{Array{Union{Int64, Int8},1}},Array{Int64,1}}) -Base.precompile(Tuple{Type{Array{Union{Missing, Float64},1}},Array{Float64,1}}) -Base.precompile(Tuple{Type{Array{Union{Missing, Int64, Int8},1}},Array{Int64,1}}) -Base.precompile(Tuple{Type{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Axes,F,Args} where Args<:Tuple where F where Axes},typeof(+),Tuple{Array{Float64,1},Int64}}) -Base.precompile(Tuple{Type{Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Axes,F,Args} where Args<:Tuple where F where Axes},typeof(identity),Tuple{Tuple{Int64,Int64}}}) -Base.precompile(Tuple{Type{Base.Generator},Type{Pair},Array{Symbol,1},Tuple{Symbol,Int64}}) -Base.precompile(Tuple{Type{Base.IteratorSize},Array{Pair,1}}) -Base.precompile(Tuple{Type{CartesianIndex},BigInt,Vararg{Integer,N} where N}) -Base.precompile(Tuple{Type{CartesianIndex},Int64,Vararg{Int64,N} where N}) -Base.precompile(Tuple{Type{Dict},Array{Pair{Symbol,Symbol},1}}) -Base.precompile(Tuple{Type{Dict},Pair{Int64,Symbol},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{Int64,Symbol},Vararg{Pair{Int64,Symbol},N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,Array{Float64,1}},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,Array{Int64,1}},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,Array{Union{Missing, Float64},1}},Vararg{Pair{String,Array{Union{Missing, Float64},1}},N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,Int64},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,Int64},Vararg{Pair{String,Int64},N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,Missing},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,Symbol},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{String,UnitRange{Int64}},Vararg{Pair{String,UnitRange{Int64}},N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{Symbol,Array{Int64,1}},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{Symbol,Int64},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{Symbol,Missing},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{Symbol,Symbol},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Pair{Symbol,UnitRange{Int64}},Vararg{Pair,N} where N}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Int64,Symbol},Pair{Int64,Int64}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Array{Float64,1}},Pair{String,Array{Union{Missing, Float64},1}},Pair{String,Array{Union{Missing, Float64},1}}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Array{Int64,1}},Pair{String,Int64},Pair{String,UnitRange{Int64}}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Int64},Pair{Symbol,Int64}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Missing},Pair{String,Int64}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{String,Symbol},Pair{String,Int64}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Array{Int64,1}},Pair{Symbol,Int64},Pair{Symbol,UnitRange{Int64}}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Int64},Pair{Symbol,Missing}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Int64},Pair{Symbol,String}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Int64},Pair{Symbol,Symbol}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Missing},Pair{Symbol,Int64}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Symbol},Pair{Symbol,Int64},Pair{Symbol,Int64}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Symbol},Pair{Symbol,Int64}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,Symbol},Pair{Symbol,String}}}) -Base.precompile(Tuple{Type{Dict},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Float64,1}}}}) -Base.precompile(Tuple{Type{IOContext},Base.GenericIOBuffer{Array{UInt8,1}},Pair{Symbol,TypeVar}}) -Base.precompile(Tuple{Type{NamedTuple{(:a, :b),T} where T<:Tuple},Tuple{UnitRange{Int64},StepRange{Char,Int64}}}) -Base.precompile(Tuple{typeof(!=),Array{Int64,1},Array{BigInt,1}}) -Base.precompile(Tuple{typeof(!=),SubArray{Symbol,1,Array{Symbol,1},Tuple{UnitRange{Int64}},true},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(*),Complex{Bool},Array{Int64,1}}) -Base.precompile(Tuple{typeof(*),Int64,Array{Float64,1}}) -Base.precompile(Tuple{typeof(+),Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(+),Array{Float64,1},Array{Float64,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(+),Array{Float64,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(+),Array{Float64,1}}) -Base.precompile(Tuple{typeof(+),Array{Int64,1},Array{Complex{Int64},1}}) -Base.precompile(Tuple{typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(+),Array{Int64,1}}) -Base.precompile(Tuple{typeof(+),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{typeof(+),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(+),SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(-),Array{Float64,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(-),Array{Int64,1}}) -Base.precompile(Tuple{typeof(==),Array{AbstractArray{T,1} where T,1},Array{AbstractArray{T,1} where T,1}}) -Base.precompile(Tuple{typeof(==),Array{AbstractArray{T,1} where T,1},Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(==),Array{Any,1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(==),Array{Any,2},Array{Any,2}}) -Base.precompile(Tuple{typeof(==),Array{Array{Float64,2},1},Array{Array{Float64,2},1}}) -Base.precompile(Tuple{typeof(==),Array{Array{Float64,3},1},Array{Array{Float64,3},1}}) -Base.precompile(Tuple{typeof(==),Array{Array{Int64,1},1},Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(==),Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1},Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}) -Base.precompile(Tuple{typeof(==),Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}) -Base.precompile(Tuple{typeof(==),Array{Array{Union{Missing, Int64},1},1},Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(==),Array{BigFloat,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(==),Array{BigFloat,1},Array{Real,1}}) -Base.precompile(Tuple{typeof(==),Array{BigInt,1},Array{BigInt,1}}) -Base.precompile(Tuple{typeof(==),Array{Bool,1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(==),Array{Bool,1},BitArray{1}}) -Base.precompile(Tuple{typeof(==),Array{Char,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(==),Array{DataType,1},Array{DataType,1}}) -Base.precompile(Tuple{typeof(==),Array{DataType,1},Array{Type,1}}) -Base.precompile(Tuple{typeof(==),Array{Float64,1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(==),Array{Float64,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(==),Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Real,1}}) -Base.precompile(Tuple{typeof(==),Array{Int64,1},Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(==),Array{Int64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(==),Array{Int64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{typeof(==),Array{Int64,1},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(==),Array{NamedTuple{(),Tuple{}},1},Array{NamedTuple{(),Tuple{}},1}}) -Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) -Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1},Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1}}) -Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}) -Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}) -Base.precompile(Tuple{typeof(==),Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}}) -Base.precompile(Tuple{typeof(==),Array{Pair{Symbol,B} where B,1},Array{Pair{Symbol,Any},1}}) -Base.precompile(Tuple{typeof(==),Array{Pair{Symbol,Float64},1},Array{Pair{Symbol,Float64},1}}) -Base.precompile(Tuple{typeof(==),Array{Pair{Symbol,Int64},1},Array{Pair{Symbol,Int64},1}}) -Base.precompile(Tuple{typeof(==),Array{String,1},Array{Union{Missing, String},1}}) -Base.precompile(Tuple{typeof(==),Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(==),Array{Tuple{Int64,Int64},1},Array{Tuple{Int64,Int64},1}}) -Base.precompile(Tuple{typeof(==),Array{Tuple{Int64},1},Array{Tuple{Int64},1}}) -Base.precompile(Tuple{typeof(==),Array{Type,1},Array{Type,1}}) -Base.precompile(Tuple{typeof(==),Array{Union,1},Array{Union,1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},1},Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Float64},2},Array{Union{Missing, Float64},2}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Symbol},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}) -Base.precompile(Tuple{typeof(==),Array{UnitRange{Int64},1},Array{UnitRange{Int64},1}}) -Base.precompile(Tuple{typeof(==),LinearIndices{1,Tuple{Base.OneTo{Int64}}},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(==),NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}},NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,String}}}) -Base.precompile(Tuple{typeof(==),NamedTuple{(:b, :a),Tuple{Union{Missing, Float64},Union{Missing, Int64}}},NamedTuple{(:b, :a),Tuple{Float64,Int64}}}) -Base.precompile(Tuple{typeof(==),NamedTuple{(:b, :c),Tuple{Union{Missing, 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-Base.precompile(Tuple{typeof(Base.vect),Type{Union{Missing, Int64}},Vararg{Union,N} where N}) -Base.precompile(Tuple{typeof(Base.vect),UInt8,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(any),Function,Base.Iterators.Zip{Tuple{Array{Array{Array{Int64,1},1},1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(any),Function,Base.Iterators.Zip{Tuple{Array{Array{T,1} where T,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(any),Function,Base.Iterators.Zip{Tuple{Array{Base.Generator{UnitRange{Int64},typeof(identity)},1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{Symbol,typeof(identity)},1}}) -Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{_A,typeof(sum)} where _A,1}}) -Base.precompile(Tuple{typeof(append!),Array{Float64,1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(append!),Array{Int64,1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(append!),Array{Int64,1},Array{Missing,1}}) -Base.precompile(Tuple{typeof(append!),Array{Int64,1},Array{String,1}}) -Base.precompile(Tuple{typeof(collect),Base.Iterators.Flatten{Array{Array{Float64,1},1}}}) -Base.precompile(Tuple{typeof(collect),Base.Iterators.Flatten{Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}}) -Base.precompile(Tuple{typeof(collect),Base.Iterators.Flatten{Array{Tuple{Int64,Int64},1}}}) -Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Float64,1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Float64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Int64,1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(collect),Base.Iterators.Zip{Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(collect),NamedTuple{(:a, :b),Tuple{Missing,Symbol}}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{BigFloat,1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{BigInt,1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Complex{Float64},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Complex{Int64},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Irrational{:π},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Rational{Int64},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Union{Missing, UInt64},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{AbstractArray{T,1} where T},Array{Array{Union{Nothing, String},1},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Any,1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{A,Pair{typeof(+),Symbol}} where A,1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Array{Int64,1},Pair{typeof(identity),Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,B} where B,1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{Function,Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{UnionAll,Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(identity),Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(length),Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(maximum),Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(minimum),Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(prod),Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Int64,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{typeof(convert),Type{Array{Any,1}},Array{Missing,1}}) -Base.precompile(Tuple{typeof(convert),Type{Array{Union{Missing, Real},1}},Array{Missing,1}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(!),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(ismissing),Tuple{Array{Union{Missing, Int64},1}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(!),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(ismissing),Tuple{Array{Union{Missing, String},1}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(Base.literal_pow),Tuple{Base.RefValue{typeof(^)},SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{Array{Int64,1}},false},Base.RefValue{Val{2}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{Array{Int64,1},1},1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{Int64,1},1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{T,1} where T,1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Array{Union{Missing, Int64},1},1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(length),Tuple{Array{Tuple{Int64,Int64},1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sin),Tuple{Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sin),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sqrt),Tuple{Array{Missing,1}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(sqrt),Tuple{Array{Rational{Int64},1}}}}) -Base.precompile(Tuple{typeof(copy),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,Array{BigFloat,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,Array{Int64,1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,1},Int64,SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Char,1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Float64,1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Int64,1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Any,2},Int64,Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Array{Union{Missing, Float64},1},1},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}}) -Base.precompile(Tuple{typeof(copyto!),Array{BigFloat,1},Int64,Array{Float64,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Char,1},SubArray{Char,1,Array{Char,1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,Array{Int64,1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,SubArray{Float64,1,Array{Float64,2},Tuple{Array{Int64,1},Int64},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Float64,2},Int64,SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}) -Base.precompile(Tuple{typeof(copyto!),Array{Int64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Int64,2},Int64,Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(copyto!),Array{String,1},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Type,1},Int64,Array{DataType,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Type,1},Int64,Array{Union,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Bool},1},Int64,Array{Missing,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Float64},1},SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Float64},1},Tuple{Missing,Float64,Float64,Float64,Float64,Missing,Float64,Missing,Float64}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},Int64,Array{Int64,1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},Int64,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},1},Tuple{Missing,Int64,Int64,Int64,Int64,Missing}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Int64},2},Int64,Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, String},1},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, Symbol},1},SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Missing, UInt8},1},Tuple{UInt8,UInt8,Missing}}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Bool},1},Int64,Array{Bool,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Bool},1},Int64,Array{Nothing,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Float64},1},Int64,Array{Nothing,1},Int64,Int64}) -Base.precompile(Tuple{typeof(copyto!),Array{Union{Nothing, Int64},1},Int64,Array{Int64,1},Int64,Int64}) -Base.precompile(Tuple{typeof(eachindex),Array{Int64,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(eltype),Tuple{Base.CoreLogging.LogLevel,String,Module,Symbol,Symbol,String,Int64}}) -Base.precompile(Tuple{typeof(eltype),Tuple{Char,Char,Float64,Float64,Float64,Char,Char,Float64,Float64,Float64,Char,Char,Float64,Float64,Float64}}) -Base.precompile(Tuple{typeof(fill!),SubArray{Any,2,Array{Any,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},Int64}) -Base.precompile(Tuple{typeof(fill!),SubArray{Any,2,Array{Any,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},String}) -Base.precompile(Tuple{typeof(getindex),Array{Tuple{Int64,Int64},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, BigFloat},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Bool},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Float64},1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Float64},1},BitArray{1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Number},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Rational{Int64}},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, String},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, String},1},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),Array{Union{Missing, Symbol},1},Array{Bool,1}}) -Base.precompile(Tuple{typeof(getindex),SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),Type{Union{Missing, Real}},Int64,Int64,Int64,Int64,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(hcat),Char,Char}) -Base.precompile(Tuple{typeof(hcat),Float64,Float64}) -Base.precompile(Tuple{typeof(hcat),Int64,Int64,Int64,Vararg{Int64,N} where N}) -Base.precompile(Tuple{typeof(hcat),Int64,Int64,Int64}) -Base.precompile(Tuple{typeof(hcat),Int64,Int64}) -Base.precompile(Tuple{typeof(hcat),UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Vararg{UnitRange{Int64},N} where N}) -Base.precompile(Tuple{typeof(hcat),UnitRange{Int64},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(hvcat),Tuple{Int64,Int64,Int64},Char,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(hvcat),Tuple{Int64,Int64,Int64},Int64,Vararg{Int64,N} where N}) -Base.precompile(Tuple{typeof(indexin),Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Float64,1}}) -Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, String},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Any,1},Array{Union{Missing, Symbol},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Array{Float64,2},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Complex{Float64},1},Array{Complex{Float64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Complex{Int64},1},Array{Complex{Int64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(isequal),Array{Irrational{:π},1},Array{Irrational{:π},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Missing,1},Array{Missing,1}}) -Base.precompile(Tuple{typeof(isequal),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) -Base.precompile(Tuple{typeof(isequal),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) -Base.precompile(Tuple{typeof(isequal),Array{Nothing,1},Array{Nothing,1}}) -Base.precompile(Tuple{typeof(isequal),Array{Rational{Int64},1},Array{Rational{Int64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{String,1},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Array{Float64,2}},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},1},Array{Missing,1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},1},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, Int64},2},Array{Union{Missing, Int64},2}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, String},1},Array{String,1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, String},1},Array{Union{Missing, String},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, String},1},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Missing, UInt64},1},Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1}}) -Base.precompile(Tuple{typeof(isequal),SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(isequal),SubArray{String,1,Array{String,1},Tuple{Base.OneTo{Int64}},true},Array{String,1}}) -Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},Array{Missing,1}}) -Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},Array{String,1}}) -Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},Array{Union{Missing, String},1}}) -Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Base.OneTo{Int64}},true},Array{Union{Missing, String},1}}) -Base.precompile(Tuple{typeof(isequal),SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}) -Base.precompile(Tuple{typeof(lcm),Array{Int64,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{AbstractArray{Bool,1},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{AbstractArray{T,1} where T,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Any,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Array{Float64,1},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Array{T,1} where T,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Array{Union{Missing, Int64},1},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Array{Union{Missing, String},1},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Base.Iterators.Take{Base.Iterators.Repeated{Missing}},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{BitArray{1},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{DataType,1},Array{DataType,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{DataType,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{String,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Type,1}}) -Base.precompile(Tuple{typeof(map),Function,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}},NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}}}) -Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:a, :b, :c),Tuple{Union{Missing, Int64},Union{Missing, Float64},Union{Missing, String}}}}) -Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:res,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(map),Function,NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}}}) -Base.precompile(Tuple{typeof(map),Function,StepRange{Char,Int64}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{AbstractArray{Bool,1},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Any,1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Float64,1},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{T,1} where T,1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Union{Missing, Int64},1},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Array{Union{Missing, String},1},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{Base.Iterators.Take{Base.Iterators.Repeated{Missing}},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{BitArray{1},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(mapreduce),Function,Function,Array{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},1}}) -Base.precompile(Tuple{typeof(maximum),Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(merge!),Dict{Int64,Any},Dict{Int64,Symbol}}) -Base.precompile(Tuple{typeof(merge!),Dict{String,Array{T,1} where T},Dict{String,Array{Float64,1}}}) -Base.precompile(Tuple{typeof(merge!),Dict{String,Union{Missing, Int64}},Dict{String,Missing}}) -Base.precompile(Tuple{typeof(merge!),Dict{Symbol,AbstractArray{T,1} where T},Dict{Symbol,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(merge!),Dict{Symbol,Union{Missing, Int64}},Dict{Symbol,Missing}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:a, :b),Tuple{Int64,Int64}},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:c, :d),Tuple{Int64,Int64}},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:x, :a, :b),Tuple{Int64,Int64,Int64}},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:x, :a, :b, :c, :d),NTuple{5,Int64}},NamedTuple{(:z,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:x,),Tuple{Int64}},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(minimum),Array{Int64,1}}) -Base.precompile(Tuple{typeof(minimum),Array{Union{Missing, Float64},1}}) -Base.precompile(Tuple{typeof(minimum),Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(permute!),Array{Char,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(promote_type),Type{Array{Float64,2}},Type{Union{Missing, Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(promote_type),Type{BigFloat},Type{Union{Missing, BigFloat}}}) -Base.precompile(Tuple{typeof(promote_type),Type{NamedTuple{(:a, :b),Tuple{Int64,Int64}}},Type{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}) -Base.precompile(Tuple{typeof(propertynames),NamedTuple{(:c_function,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(push!),Set{Array{Symbol,1}},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{Array{Array{Int64,1},1},1}}) -Base.precompile(Tuple{typeof(reshape),Array{Float64,1},Colon,Int64}) -Base.precompile(Tuple{typeof(reshape),StepRange{Char,Int64},Int64,Colon,Vararg{Union{Colon, Int64},N} where N}) -Base.precompile(Tuple{typeof(reshape),StepRange{Char,Int64},Tuple{Int64,Colon,Int64}}) -Base.precompile(Tuple{typeof(setindex!),Array{Float64,1},Array{Int64,1},Function}) -Base.precompile(Tuple{typeof(setindex!),Array{Union{Missing, Int64},1},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{UnitRange{Int64}},true},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(setindex!),Dict{Any,Int64},Int64,Tuple{Missing,Int64}}) -Base.precompile(Tuple{typeof(setindex!),Dict{Any,Int64},Int64,Tuple{Missing,Symbol}}) -Base.precompile(Tuple{typeof(setindex!),Dict{Any,Int64},Int64,Tuple{Missing}}) -Base.precompile(Tuple{typeof(setindex!),Dict{String,Array{Float64,1}},Array{Float64,1},String}) -Base.precompile(Tuple{typeof(setindex!),Dict{String,Array{Int64,1}},Array{Int64,1},String}) -Base.precompile(Tuple{typeof(setindex!),Dict{String,Missing},Missing,String}) -Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,Any},UnitRange{Int64},Symbol}) -Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,Array{Int64,1}},Array{Int64,1},Symbol}) -Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,Missing},Missing,Symbol}) -Base.precompile(Tuple{typeof(setindex!),Dict{Symbol,UnitRange{Int64}},UnitRange{Int64},Symbol}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:ID,),Tuple{Float64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:ID1, :ID2),Tuple{Int64,String}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:a,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:d, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:d,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},NamedTuple{(:id,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Tuple{Missing}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Tuple{Symbol,Symbol,Symbol}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Tuple{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},Type}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},TypeVar}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Type}) -Base.precompile(Tuple{typeof(showable),MIME{Symbol("text/html")},Any}) -Base.precompile(Tuple{typeof(sortperm),Array{Float64,1}}) -Base.precompile(Tuple{typeof(sortperm),Array{Tuple{Float64,Float64},1}}) -Base.precompile(Tuple{typeof(sortperm),Array{Tuple{Int64,Float64},1}}) -Base.precompile(Tuple{typeof(sortperm),Array{Tuple{Int64,Int64},1}}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:ID,),Tuple{Float64}},String}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:ID,),Tuple{Union{Missing, Int64}}},String}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:ID1, :ID2),Tuple{Int64,String}},String}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:a, :b),Tuple{Int64,Int64}},String}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:a,),Tuple{Int64}},String}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:d, :b),Tuple{Int64,Int64}},String}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:d,),Tuple{Int64}},String}) -Base.precompile(Tuple{typeof(string),NamedTuple{(:id,),Tuple{Int64}},String}) -Base.precompile(Tuple{typeof(string),String,Array{Symbol,1},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(string),String,Tuple{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(string),Type{T} where T,String}) -Base.precompile(Tuple{typeof(sum),Array{Real,1}}) -Base.precompile(Tuple{typeof(sum),Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(sum),Base.SkipMissing{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Float64}}}}) -Base.precompile(Tuple{typeof(sum),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(tempname)}) -Base.precompile(Tuple{typeof(vcat),Array{Missing,1},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(vcat),Array{Symbol,1},Symbol}) -Base.precompile(Tuple{typeof(vcat),Array{UnionAll,1},Type{T} where T}) -Base.precompile(Tuple{typeof(vcat),Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}) -Base.precompile(Tuple{typeof(vcat),Int64,Int64,Int64,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(vcat),Int64,UnitRange{Int64},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(vcat),Missing,Missing,Missing,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(vcat),Symbol,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(vcat),UnitRange{Int64},Array{Missing,1}}) -Base.precompile(Tuple{typeof(vcat),UnitRange{Int64},Missing,Missing,Vararg{Missing,N} where N}) -Base.precompile(Tuple{typeof(vcat),UnitRange{Int64},Missing}) -Base.precompile(Tuple{typeof(view),Array{Array{Int64,1},1},Base.OneTo{Int64}}) -Base.precompile(Tuple{typeof(view),Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(view),Array{Bool,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(view),Array{Float32,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(view),Array{Float64,1},Function}) -Base.precompile(Tuple{typeof(view),Array{Float64,1},Int64}) -Base.precompile(Tuple{typeof(view),Array{Int64,1},Function}) -Base.precompile(Tuple{typeof(view),Array{Int64,1},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),Array{Union{Missing, Float64},1},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),Array{Union{Missing, Int64},1},Base.OneTo{Int64}}) -Base.precompile(Tuple{typeof(view),Array{Union{Missing, Int64},1},StepRange{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),Array{Union{Missing, String},1},StepRange{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),Array{Union{Missing, Symbol},1},Base.OneTo{Int64}}) -Base.precompile(Tuple{typeof(view),Array{Union{Missing, Symbol},1},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Int64}) -Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Function}) -Base.precompile(Tuple{typeof(view),SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},Array{Int64,1}}) -Base.precompile(Tuple{typeof(view),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},BitArray{1}}) -Base.precompile(Tuple{typeof(view),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},Function}) -Base.precompile(Tuple{typeof(write),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},UInt8,UInt8,Vararg{UInt8,N} where N}) -Base.precompile(Tuple{typeof(∉),SubArray{Symbol,1,Array{Symbol,1},Tuple{UnitRange{Int64}},true},Set{Array{Symbol,1}}}) -let fbody = try __lookup_kwbody__(which(Base.with_output_color, (Function,Symbol,Base.TTY,String,Vararg{String,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,typeof(Base.with_output_color),Function,Symbol,Base.TTY,String,Vararg{String,N} where N,)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{AbstractArray{T,1} where T,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{AbstractArray{T,1} where T,1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Any,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Any,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{BigFloat,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{BigFloat,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{BigInt,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{BigInt,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Bool,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Bool,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Complex{Float64},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Complex{Float64},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Complex{Int64},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Complex{Int64},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Float64,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Float64,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Int64,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Int64,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Irrational{:π},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Irrational{:π},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Missing,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Missing,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Rational{Int64},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Rational{Int64},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{String,1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{String,1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{T,1} where T,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{T,1} where T,1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Missing, Float64},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Missing, Float64},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Missing, Int64},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Missing, Int64},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Missing, UInt64},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Missing, UInt64},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Array{Union{Nothing, String},1},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Array{Union{Nothing, String},1},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{DataType,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{DataType,1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, Float64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, Float64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, Int64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, Int64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, String},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, String},1},)) - end -end -let fbody = try __lookup_kwbody__(which(all, (Function,Array{Union{Missing, Symbol},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(all),Function,Array{Union{Missing, Symbol},1},)) - end -end -let fbody = try __lookup_kwbody__(which(any, (Function,Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(any),Function,Array{Any,1},)) - end -end -let fbody = try __lookup_kwbody__(which(any, (Function,Array{Missing,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(any),Function,Array{Missing,1},)) - end -end -let fbody = try __lookup_kwbody__(which(any, (Function,Array{Union{Missing, Float64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(any),Function,Array{Union{Missing, Float64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(any, (Function,Array{Union{Missing, Int64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(any),Function,Array{Union{Missing, Int64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(any, (Function,Base.OneTo{Int64},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(any),Function,Base.OneTo{Int64},)) - end -end -let fbody = try __lookup_kwbody__(which(any, (Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(any),Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Any,1,Array{Any,1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Number,1,Array{Number,1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Number,1,Array{Number,1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Real,1,Array{Real,1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Real,1,Array{Real,1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Irrational{:π}, Missing},1,Array{Union{Irrational{:π}, Missing},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Irrational{:π}, Missing},1,Array{Union{Irrational{:π}, Missing},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Array{Float64,2}},1,Array{Union{Missing, Array{Float64,2}},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Array{Float64,2}},1,Array{Union{Missing, Array{Float64,2}},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, BigFloat},1,Array{Union{Missing, BigFloat},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, BigFloat},1,Array{Union{Missing, BigFloat},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Bool},1,Array{Union{Missing, Bool},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Bool},1,Array{Union{Missing, Bool},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Complex{Float64}},1,Array{Union{Missing, Complex{Float64}},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Complex{Float64}},1,Array{Union{Missing, Complex{Float64}},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Int64, Int8},1,Array{Union{Missing, Int64, Int8},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Int64, Int8},1,Array{Union{Missing, Int64, Int8},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Number},1,Array{Union{Missing, Number},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Number},1,Array{Union{Missing, Number},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Rational{Int64}},1,Array{Union{Missing, Rational{Int64}},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Rational{Int64}},1,Array{Union{Missing, Rational{Int64}},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, Real},1,Array{Union{Missing, Real},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, Real},1,Array{Union{Missing, Real},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(mapfoldl, (Function,Function,SubArray{Union{Missing, UnitRange{Int64}},1,Array{Union{Missing, UnitRange{Int64}},1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},typeof(mapfoldl),Function,Function,SubArray{Union{Missing, UnitRange{Int64}},1,Array{Union{Missing, UnitRange{Int64}},1},Tuple{Array{Int64,1}},false},)) - end -end -let fbody = try __lookup_kwbody__(which(printstyled, (String,Vararg{String,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Symbol,typeof(printstyled),String,Vararg{String,N} where N,)) - end -end -let fbody = try __lookup_kwbody__(which(sort!, (Array{Bool,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sort!),Array{Bool,1},)) - end -end -let fbody = try __lookup_kwbody__(which(sortperm, (Array{Float64,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Float64,1},)) - end -end -let fbody = try __lookup_kwbody__(which(sortperm, (Array{Int64,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Int64,1},)) - end -end -let fbody = try __lookup_kwbody__(which(sortperm, (Array{Tuple{Float64,Float64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Tuple{Float64,Float64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(sortperm, (Array{Tuple{Int64,Float64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Tuple{Int64,Float64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(sortperm, (Array{Tuple{Int64,Int64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Tuple{Int64,Int64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(sortperm, (Array{Union{Missing, Int64},1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Base.Sort.QuickSortAlg,Function,Function,Nothing,Base.Order.ForwardOrdering,typeof(sortperm),Array{Union{Missing, Int64},1},)) - end -end -let fbody = try __lookup_kwbody__(which(sprint, (Function,SubString{String},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Int64,typeof(sprint),Function,SubString{String},Vararg{Any,N} where N,)) - end -end - -# Tables.jl -Base.precompile(Tuple{typeof(Tables._buildcolumns),Tables.IteratorWrapper{Array{Any,1}},Tables.IteratorRow{UnitRange{Int64}},Int64,Tables.Schema{(:start, :stop),nothing},Tuple{Tables.EmptyVector,Tables.EmptyVector},Base.RefValue{Any}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}}}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}}}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}}}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{UnitRange{Int64}},true}}}}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:x,),Tuple{Array{Int64,1}}}}}) -Base.precompile(Tuple{typeof(Tables._eltypes),Type{NamedTuple{(:y,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}) -Base.precompile(Tuple{typeof(Tables.datavaluenamedtuple),Tables.Schema{(:a, :b),Tuple{Int64,Union{Missing, Float64}}}}) -Base.precompile(Tuple{typeof(Tables.datavaluerows),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}}}) -Base.precompile(Tuple{typeof(Tables.datavaluerows),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Union{Missing, Float64},1,Array{Union{Missing, Float64},1},Tuple{UnitRange{Int64}},true}}}}) -Base.precompile(Tuple{typeof(Tables.eachcolumns),typeof(Tables.add_or_widen!),Tables.Schema{(:a, :b, :c),nothing},Tables.IteratorRow{NamedTuple{(:a, :b, :c),Tuple{Int64,Symbol,Missing}}},Tuple{Array{Int64,1},Array{Symbol,1},Array{Missing,1}},Int64,Base.RefValue{Any},Base.SizeUnknown}) -Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}) -Base.precompile(Tuple{typeof(Tables.namedtupleiterator),NamedTuple{(:x1, :x2, :x3, :x4),NTuple{4,Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}) -Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b),Tuple{Int64,Symbol}}}}) -Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}}}}) -Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a, :b, :c),Tuple{Int64,Symbol,Missing}}}}) -Base.precompile(Tuple{typeof(Tables.nondatavaluenamedtuple),Type{NamedTuple{(:a,),Tuple{Int64}}}}) -Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Array{Int64,1},Array{Symbol,1},Tables.EmptyVector},Int64,Array{Missing,1}}) -Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Array{Int64,1},Tables.EmptyVector,Tables.EmptyVector},Int64,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Array{Int64,1},Tables.EmptyVector},Int64,Array{Int64,1}}) -Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Tables.EmptyVector,Tables.EmptyVector,Tables.EmptyVector},Int64,Array{Int64,1}}) -Base.precompile(Tuple{typeof(Tables.replacex),Tuple{Tables.EmptyVector,Tables.EmptyVector},Int64,Array{Int64,1}}) -Base.precompile(Tuple{typeof(Tables.rowtable),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) -Base.precompile(Tuple{typeof(Tables.rowtable),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) -Base.precompile(Tuple{typeof(Tables.rowtable),NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(Tables.schema),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}}}},Tuple{Int64,Tuple{Int64},Tuple{Int64}}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b, :c, :d),NTuple{4,Float64}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}},Tables.NamedTupleIterator{Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},Tables.RowIterator{NamedTuple{(:a, :b, :c, :d),NTuple{4,Array{Float64,1}}}}}}}}) - -# DataFrames -Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) -Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1}}) -Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) -Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{ByRow{typeof(-)},Array{Int64,1}}) -Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{ByRow{typeof(/)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) -Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) -Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},N} where N}) -Base.precompile(Tuple{ByRow{typeof(first)},NamedTuple{(:a,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int64}}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Int64,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(hcat),DataFrame}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}},Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :ID2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(isequal),Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1},Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Int64},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{typeof(nrow),Symbol},1}}) +Base.precompile(Tuple{Type{DataFrame},Base.ReshapedArray{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Tuple{}},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{UnitRange{Int64},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :D, :E, :F),NTuple{5,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Symbol,1}}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) +Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Missing}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(DataFrame!),Array{Int64,2}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},typeof(DataFrame!)}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Float64,1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Markdown.MD,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int64},Char,UnitRange{Int64},Char,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{Symbol,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :B),Tuple{Int64,Missing,Float64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:B, :A),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Color, :Mass),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{StepRange{Char,Int64},StepRange{Char,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) +Base.precompile(Tuple{typeof(Tables.namedtupleiterator),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Symbol,1},typeof(identity)},Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(+)}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(Base.literal_pow),Tuple{Base.RefValue{typeof(^)},DataFrame,Base.RefValue{Val{2}}}}}) +isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{T,1,UInt32,V,C,Union{}} where C where V where T,1},Symbol}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(-)}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(filter!),Pair{Array{Symbol,1},typeof(==)},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Type{AsTable}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,2}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass),Tuple{Array{String,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job, :_merge),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :SID),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Colon}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:d1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},String}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D),NTuple{4,Int64}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Array{Bool,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Nothing,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},StepRange{Char,Int64},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:b, :a),Tuple{Int64,Symbol}}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},typeof(+)}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Type{Ref},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt8,Bool,CategoricalArrays.CategoricalValue{Bool,UInt8},Union{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Mass),Tuple{Array{Union{Missing, String},1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Ref,),Tuple{NamedTuple{(),Tuple{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right, :_rightX),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :x_first),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.compute_indices),Array{Int64,1},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}) +Base.precompile(Tuple{Type{DataFrame},Array{UnitRange,1},Symbol}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},typeof(DataFrame!)}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(Statistics.mean),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(hash),DataFrame}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, Tuple{Symbol,Int64}},1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Number},1}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_right),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b),Tuple{UnitRange{Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Array{Int64,1},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Union{Missing, Int64},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Symbol,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int64},Array{Int64,0}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Base.RefValue{Float64},Union{Function, Type},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),All{Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Symbol,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Symbol,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1},Symbol}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1}},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g, :y),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigInt,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) +Base.precompile(Tuple{Type{DataFrame},Array{Union{Missing, Float64},2}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Nothing,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Number},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt64},1},Colon}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{_A,typeof(sum)} where _A,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},StepRange{Char,Int64},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Float64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:first, :second),Tuple{Int64,String}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},All{Tuple{}}}) +let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(select),DataFrame,Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Symbol},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int64},Array{Int64,0},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :Ref),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},NamedTuple{(),Tuple{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Array{Union{Missing, Int64},1},Bool}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :z),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int64,Array{Any,1},Bool}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Char,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Symbol,1},Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :v1),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{UnitRange{Int64},Array{Bool,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1, :x2),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Complex{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,ByRow{typeof(first)}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first, :x1),Tuple{Int64,Int64,Missing,Missing,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) +Base.precompile(Tuple{typeof(rename),Function,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Bool}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Symbol}}) +let fbody = try __lookup_kwbody__(which(DataFrames.transform, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) +let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(copyto!),Array{String,1},DataFrames.RepeatedVector{String}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{String,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_callable),Union{Function, Type},Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:z,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{ByRow{typeof(first)},NamedTuple{(:a,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right, :_rightX),Tuple{Int64,String}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,String}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{9,DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Symbol,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(append!),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) +let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol},Pair{Symbol,ByRow{typeof(sin)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Regex}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{NamedTuple{(),Tuple{}},1}}}) +Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt32,Bool,CategoricalArrays.CategoricalValue{Bool,UInt32},Union{}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, Function},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Irrational{:π}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_function,),Tuple{Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :a),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Int64,Int64}}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) +Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Float64,2}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :d),Tuple{Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),NTuple{4,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Symbol,Array{Symbol,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{typeof(nrow),1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_function, :x1, :x2, :p, :q, :s, :t, :k, :l, :z),Tuple{Array{Array{Int64,1},1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(minimum),Symbol}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Integer},1},Colon}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},String}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1_function),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,UnionAll}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x3, :x1, :x2),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,typeof(sum)}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{ByRow{typeof(minmax)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :renamecols),Tuple{Array{Any,1},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{DataFrame,1}}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b),Tuple{UnitRange{Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, String},1},1},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Regex}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Cols{Tuple{Colon}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(completecases),DataFrame,Array{Bool,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Symbol,1}}}) +isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Char,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{T,1} where T},1},Symbol}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Union{Missing, Int64},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :d),Tuple{Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int64,1},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int64,1}},Pair{Symbol,Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},Tuple{String,String}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Real,1}}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int64},DataFrames.RepeatedVector{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Mass),Tuple{Array{Union{Missing, String},1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},UnitRange{Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :col),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_f1, :g_f2),Tuple{Array{Int64,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :keep, :g_function),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Array{Float64,2},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{BigFloat,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{DataFrame,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Irrational{:π},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Number,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Rational{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Real,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Array{Float64,2}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Bool},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Rational{Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Real},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UnitRange{Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{UnitRange{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{Array{Int64,1},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1, :x2),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Tuple{Array{Dict{Symbol,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,String,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),NTuple{4,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64,Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,String,Pair{String,String},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,UnitRange{Int64},Colon,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{String,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Between{Symbol,Symbol}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Any}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_identity,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,3}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Char,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Any,2}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Array{Any,1},)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},ByRow{typeof(+)}}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Real},1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int64},1},Array{Int64,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{String,typeof(identity)}}) +Base.precompile(Tuple{Type{DataFrame},Pair{String,Int64},Vararg{Pair{String,Int64},N} where N}) +Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Bool},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Tuple{Array{Int64,1},Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Tuple{Symbol},Val{false}}) +let fbody = try __lookup_kwbody__(which(DataFrames.select!, (DataFrame,Any,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,typeof(select!),DataFrame,Any,)) + end + end +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.RepeatedVector{Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{Any,Int64},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Symbol},1}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{Any,Int64},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) +Base.precompile(Tuple{typeof(transform),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{Real,2},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Bool}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},1},Array{Symbol,1}}) +isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Symbol}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1, :a_2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},Colon,All{Tuple{}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_function,),Tuple{Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2, :y),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g2, :x, :g1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c, :d),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x, :y),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{UnitRange{Int64},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),NTuple{4,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :ID2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :id1_1, :x_right),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(unique),DataFrame}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{String,AbstractArray{Int64,1}},Pair{String,AbstractArray{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{Symbol,AbstractArray{Int64,1}},Pair{Symbol,AbstractArray{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},Type{DataFrame},Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :a, :b, :c, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :p_1, :q_1, :p_2, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int64},1},Array{Int64,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int64,Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g, :y),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Tuple{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1, :x2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x_first),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{String,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Bool}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Int64,1}},1}}) +Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Array{Any,1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any},1}}) +Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,2}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Float64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Number,1}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Colon,Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrame,Function,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,Colon}) +Base.precompile(Tuple{typeof(<),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{UnionAll}}) +Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}},1}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Int64}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:g,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{Type{DataFrame},Dict{String,Int64}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int64},Array{Int64,0},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int64},Char,UnitRange{Int64},Char,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:first, :second),Tuple{Array{String,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(/)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{UnitRange{Int64},Array{Bool,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Int64},1}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Cols{Tuple{Colon}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{AbstractArray{T,1} where T,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int64,1},Int64,Int64,Missing,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_last, :x2_last, :x3_last, :x4_last),Tuple{Array{Int64,1},Int64,Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :copycols),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},Bool}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x3, :x2, :x4),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first),Tuple{Int64,Int64,Missing,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first, :x1),Tuple{Int64,Int64,Missing,Missing,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last),NTuple{4,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int64,Int64,Int64,Int64,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x3, :x1, :x2),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x4, :x1, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int64},1},Array{Tuple{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,2},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrame,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :y_function),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{AbstractDataFrame,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{String}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.append!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(append!),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Pair{Array{Symbol,1},typeof(+)},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}},Pair{Int64,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Array{String,1},typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Array{Symbol,1},typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{String,typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Symbol,Pair{typeof(identity),Symbol}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{Symbol,typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{typeof(nrow),String},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Pair{typeof(nrow),Symbol},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine_helper)),NamedTuple{(:keepkeys, :ungroup, :copycols, :keeprows, :renamecols),NTuple{5,Bool}},typeof(DataFrames.combine_helper),Array{Pair,1},GroupedDataFrame{DataFrame},Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{Int64}}},typeof(describe),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),DataFrame,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :renamecols),Tuple{Array{Any,1},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :validate),Tuple{Symbol,Tuple{Bool,Bool}}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(rename!),DataFrame,Dict{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int64,Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,2},1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,)) + end + end +Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Regex}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Rational{Int64}},1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,String},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) +Base.precompile(Tuple{typeof(dropmissing),DataFrame,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.Index},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(*),Tuple{Int64,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrameRow{DataFrame,DataFrames.Index},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}},Val{true}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(sum)}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :v1),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2, :x3),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int64}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Tuple{Array{Char,1},Array{Char,1},Array{Char,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{DataFrame,Base.RefValue{Nothing}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x, :y),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,Between{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{InvertedIndex{Regex},Regex}}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Tuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :SID),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Float64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1, :x2),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{BigFloat,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) +Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Tuple{Array{Tuple{Float64,Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},NTuple{4,Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{InvertedIndices.TupleVector{Tuple{Int64,Int64}}}}) +Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},BitArray{1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Cols{Tuple{Colon}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Float64,1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int64,1},Int64,Int64,Missing,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator),Tuple{Symbol,Symbol}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(-),Tuple{Float64,Float64}}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Int64}}) +Base.precompile(Tuple{Type{DataFrame},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Float64}}}) +Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,String}},Tuple{Array{Int64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(permutedims),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) +Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int64}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int64}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int64}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{String,Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.issorted)),NamedTuple{(:rev,),Tuple{Tuple{Bool,Bool,Bool}}},typeof(issorted),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.issorted)),NamedTuple{(:rev,),Tuple{Tuple{Bool,Bool,Bool}}},typeof(issorted),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(sum)},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Symbol,1},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Symbol,1},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Pair{AsTable,B} where B,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Pair{String,ByRow{typeof(-)}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Pair{String,Pair{typeof(first),String}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{AsTable,ByRow{typeof(identity)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{AsTable,typeof(sum)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,String,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Function,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,InvertedIndex{Array{Symbol,1}},All{Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Int64,1},typeof(+)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sum),Tuple{DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sqrt),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1},)) + end + end +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Symbol},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c, :d),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(Base.vect),DataFrame,Vararg{DataFrame,N} where N}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Missing,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Int64,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{DataFrameRow{DataFrame,DataFrames.Index},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Int64,1},Function}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) +let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,1},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(sum)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Colon,Pair{typeof(+),Symbol}},Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Colon,Pair{typeof(+),Symbol}},Pair{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,ByRow{typeof(+)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,typeof(+)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Regex,ByRow{typeof(rand)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(sum),Symbol}},Pair{String,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(first)},Pair{String,typeof(first)},Vararg{Pair{String,typeof(first)},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(promote_type),Type{DataFrames.DataFrameColumns{DataFrame}},Type{Union{Missing, Nothing, GroupedDataFrame{DataFrame}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(unstack),DataFrame,String,String,String}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) +Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Cols{Tuple{String}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(filter),Pair{Array{Symbol,1},typeof(==)},DataFrame}) +Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(last)},Pair{String,typeof(last)},Vararg{Pair{String,typeof(last)},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(sum)},Pair{String,typeof(sum)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{UnitRange{Int64},ByRow{typeof(+)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{UnitRange{Int64},typeof(+)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{typeof(nrow),Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,String,Pair{String,String},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Array{Pair{String,typeof(first)},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Array{Pair{String,typeof(last)},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Array{Pair{_A,typeof(sum)} where _A,1},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Between{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Regex,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Array{Pair{_A,typeof(sum)} where _A,1},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Between{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Function,Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.ourshow)),NamedTuple{(:styled,),Tuple{Bool}},typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Missing,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,String,Bool}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,Symbol,Bool}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,Dict{Symbol,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Float64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Missing}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:z, :y, :x),Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{10,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{12,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{6,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{9,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rename!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(rename!),DataFrames.Index,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat!),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat!),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{String}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Any,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Regex}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Regex}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{String}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :splitcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :splitcols, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :splitcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:truncate, :rowlabel),Tuple{Int64,Symbol}},typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_eltype,),Tuple{UnionAll}},typeof(stack),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{Symbol,Symbol,Bool}},typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view,),Tuple{Bool}},typeof(stack),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),DataFrame,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup, :copycols),Tuple{Bool,Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unique)),NamedTuple{(:view,),Tuple{Bool}},typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.std),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:xmax,),Tuple{Float64}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{String},DataFrames.RepeatedVector{String}}) +let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{String,1}}},Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},typeof(!),Symbol}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{DataFrame,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Array{Float64,2}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, DataFrame},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{UnitRange{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigInt,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UnitRange{Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{ByRow{typeof(/)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,String},1}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Rational{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int64}},Pair{Symbol,Array{Int64,0}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) +Base.precompile(Tuple{typeof(names),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}}},InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Function,UnitRange{Int64}}) +isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Float64,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(flatten),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(rand)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{},Int64}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(),Tuple{}},Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Any,1}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(filter),Pair{Array{Int64,1},typeof(!=)},DataFrame}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(transform),Function,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{CategoricalArrays.CategoricalValue{Int64,UInt32}}}}}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(length),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Any,Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_eltype,),Tuple{UnionAll}},typeof(stack),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(getindex),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Symbol,Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Float64},1},Array{Int64,1},Array{Bool,1},Array{Any,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Tuple{Array{Tuple{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(isequal),Array{DataFrame,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) +Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(sort),DataFrame,Regex}) +let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Missing,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigInt,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Float64,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataAPI.describe, (DataFrame,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(describe),DataFrame,)) + end + end +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),DataFrame,Symbol}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},Pair{typeof(+),String}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) +isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),UndefInitializer,Int64,Int64}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(merge),NamedTuple{(),Tuple{}},DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) -Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{Type{DataFrameRow},DataFrame,Int64,Function}) -Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Array{Int64,1}}) -Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Regex}) -Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Between{Symbol,Symbol}}) -Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},All{Tuple{}}}) -Base.precompile(Tuple{Type{DataFrame},Array{AbstractArray{Int64,1},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Any,2}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Any,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Bool,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Int64,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{String,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{T,1} where T,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Float64},1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int64},1},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{T,1,UInt32,V,C,Union{}} where C where V where T,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Float64,2}}) -Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int64,1}},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,AbstractArray{Int64,1}},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Real,2},Array{String,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int64,Int64},2}}) -Base.precompile(Tuple{Type{DataFrame},Array{UnitRange,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Array{Symbol,1}}) -Base.precompile(Tuple{Type{DataFrame},Base.ReshapedArray{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Tuple{}}}) -Base.precompile(Tuple{Type{DataFrame},BitArray{2},Array{String,1}}) -Base.precompile(Tuple{Type{DataFrame},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{Type{DataFrame},DataFrame}) -Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int64}}}) -Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int64}}}) -Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}) -Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) -Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) -Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}},Vararg{Pair{String,Array{Any,1}},N} where N}) -Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Float64,1}},Vararg{Pair{String,Array{Float64,1}},N} where N}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Int64}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}) -Base.precompile(Tuple{Type{DataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{String,UnitRange{Int64}},Pair{String,Array{Int64,1}}}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Int64,1}}}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},UnitRange{Int64}}}) -Base.precompile(Tuple{Type{Dict},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) -Base.precompile(Tuple{Type{Tuple},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{typeof(<),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) -Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},DataFrames.StackedVector{Union{Missing, Int64}}}) -Base.precompile(Tuple{typeof(==),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Symbol}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{String}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,Any}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sin),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) +Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int64,Tuple{Base.OneTo{Int64},Int64}}) +Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Any,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},BitArray{1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Int64}}) +Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},DataFrame}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Float64,1}},1}}) Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int64},DataFrames.RepeatedVector{Int64}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{String},DataFrames.RepeatedVector{String}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},DataFrames.StackedVector{Union{Missing, Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Base.OneTo{Int64},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrame!),Dict{String,Any}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(append!),DataFrame,Dict{Symbol,AbstractArray{T,1} where T}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{String,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Float64}},DataFrames.RepeatedVector{Union{Missing, Float64}}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) -Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) -Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) -Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) -Base.precompile(Tuple{typeof(==),GroupedDataFrame{DataFrame},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,3},DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,2}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,3}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.OneTo{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z, :xzz),Tuple{Int64,Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Tuple{Int64,Int64},Int64,Colon}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Nothing,Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Float64,String}}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) + end + end +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :matchmissing),Tuple{Array{Symbol,1},Symbol}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int64},Array{Int64,0}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{UnionAll}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Function,DataFrame,Val{2}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,2}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Float64,2}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Type{T} where T,Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Type{T} where T,AsTable,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{NamedTuple{(:a, :b),Tuple{Missing,Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{NamedTuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{NamedTuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{NamedTuple{(:a,),Tuple{Missing}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{NamedTuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Tuple{Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Tuple{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Tuple{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrame,Function,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrame,Function,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Array{String,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,Symbol}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Function,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Array{String,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,3},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Int64,Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sqrt),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(identity),Tuple{Tuple{Int64,Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}},Tuple{Tuple{Base.OneTo{Int64},Int64},Tuple{Base.OneTo{Int64},Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Any}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Array{Float64,2}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,2}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,InvertedIndex{String}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,UnitRange{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{InvertedIndex{Symbol},ByRow{typeof(/)}},Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Int64,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{Union{Missing, Float64},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_identity),Tuple{Array{Int64,1},Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Int64,Any}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String}}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,2},1}}) +Base.precompile(Tuple{typeof(iterate),Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},typeof(identity)},Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.Index},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(*),Tuple{Int64,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.Index},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(-),Tuple{Float64,Float64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Char,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{String,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Float64,Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{CategoricalArrays.CategoricalValue{Int64,UInt32}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sin),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sin),Tuple{UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Array{String,3}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,3,StepRange{Char,Int64},Tuple{}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Dict},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{NamedTuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Array{String,1},Base.RefValue{ByRow{typeof(-)}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.RefValue{AsTable},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Tuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{String,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{Symbol,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sum),Tuple{DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.OneTo{Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},)) + end + end +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.OneTo{Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{DataFrame,Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(Base.literal_pow),Tuple{Base.RefValue{typeof(^)},DataFrame,Base.RefValue{Val{2}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(coalesce),Tuple{DataFrame,Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Dict{Symbol,Union{Missing, Int64}},Int64,Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{NamedTuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},NamedTuple{(:a, :b),Tuple{Missing,Int64}},Int64,Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{NamedTuple{(:a,),T} where T<:Tuple,1},Array{NamedTuple{(:a,),Tuple{Missing}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{NamedTuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},NamedTuple{(:a,),Tuple{Symbol}},Int64,Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Tuple{Any},1},Array{Tuple{Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Tuple{Symbol},Int64,Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base._array_for),Type{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}}},Array{Any,1},Base.HasShape{1}}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Type{Array{T,1} where T}}}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},typeof(sum)}}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}}}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},typeof(repr)}}) -Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int64,Tuple{Base.OneTo{Int64},Int64}}) -Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},NamedTuple{(:a, :b),Tuple{Symbol,Int64}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) -Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int64},1},DataFrames.RepeatedVector{String},Int64}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int64}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int64}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int64}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{Pair{Int64,Pair{ByRow{typeof(sin)},Symbol}},1},UnitRange{Int64},Int64}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{UnitRange{Int64},1},Pair{Int64,Pair{ByRow{typeof(sin)},Symbol}},Int64}) -Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Dict{Symbol,Missing}}) -Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Missing}}}) -Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Tuple{Missing}}) -Base.precompile(Tuple{typeof(Base.vect),DataFrame,Vararg{DataFrame,N} where N}) -Base.precompile(Tuple{typeof(Base.vect),DataFrameRow{DataFrame,DataFrames.Index},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(Base.vect),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Vararg{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},N} where N}) -Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) -Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) -Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int64,1}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int64,1}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,Array{Float64,1},DataFrame,Int64,Bool}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Bool}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Int64,Bool}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,1},DataFrame,Int64,Bool}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine),typeof(identity),GroupedDataFrame{DataFrame},Nothing,Bool,Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,1},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,2},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,2},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,2},Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.RefValue{UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,String}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:nrow,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:v,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:v,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xmax,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(sort),DataFrame,InvertedIndex{Array{Any,1}}}) +Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Array{Int64,1},Tuple{Bool},Tuple{Int64}}}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,3},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Union{Missing, String},1}}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Real,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,3},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.RefValue{AsTable},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Colon,Colon}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z, :xzz),Tuple{Int64,Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Tuple{Array{Int64,1},Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,String}},Tuple{Array{Int64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:c,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:function,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:nrow,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:res,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:v,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Tuple{Array{Complex{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},CategoricalArrays.CategoricalValue{String,UInt32},Int64}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},All{Tuple{}}}) +Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrame,DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) +Base.precompile(Tuple{Type{DataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Bool,Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{AbstractArray{Int64,1},1},Symbol}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,String}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{Symbol,String},1}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,Regex,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,Regex,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Any,1}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String,Int64}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index},Int64,Colon}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Tuple{Array{Rational{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Tuple{Array{Rational{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{Union{Nothing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}},Int64,Int64,Type{T} where T,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Tuple{Array{Tuple{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{UnitRange{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{UnitRange{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x_sum,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:z,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{typeof(nrow),Symbol},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,3},DataFrame}) +Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,NTuple{4,Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Colon}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) +Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) +isdefined(DataFrames, Symbol("#400#401")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#400#401")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Cols{Tuple{Colon}},typeof(+)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any,Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Array{Symbol,1},Bool,Array{Tuple{Float64,Float64},1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{String}},typeof(semijoin),DataFrame,DataFrame}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Int64,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Int64,1},)) + end + end +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(identity),Tuple{Tuple{Int64,Int64}}}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Regex}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,String}}}) +Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{StepRange{Char,Int64},Tuple{Bool},Tuple{Int64}}}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{Pair{String,Pair{typeof(first),String}},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:nrow,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(transform!),Function,DataFrame}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) +Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) +Base.precompile(Tuple{typeof(merge),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int64,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Regex}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Cols{Tuple{Colon}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true},Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) +Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}},Pair{Int64,Pair{typeof(sum),Symbol}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:t,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int64,1}},1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Bool,1},Colon}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Irrational{:π}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Missing,String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,String}}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{Type{Tuple},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64},Symbol}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1, :x2),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Complex{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) +Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Regex}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(select!),DataFrame,Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{Type{DataFrame},Array{Any,2},Symbol}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xmax,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{String,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Integer,1},Colon}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Int64,1},Function}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Float64,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Int64},1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(sort),DataFrame,Function}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,typeof(sum)},1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int64,Array{Any,1},Bool}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Int64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Missing,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Symbol}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Missing,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{Array{Int64,1},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.vect),DataFrameRow{DataFrame,DataFrames.Index},Vararg{Any,N} where N}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,ByRow{typeof(identity)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{AbstractArray{T,1} where T,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(values),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},Type{Array{Float64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Int64},1},Colon}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:v,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, String},1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.OneTo{Int64}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, Tuple{Symbol,Int64}},1}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{String,1}}},Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Union{Missing, Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},NTuple{4,Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{SubString{String},Array{Int64,1}},1}}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Any,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Any,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, String},1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{String,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{T} where T,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Type{T} where T,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{UnitRange{Int64}}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Array{Int64,1},Function}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(coalesce),Tuple{DataFrame,Base.RefValue{Nothing}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Float64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Colon}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{Symbol,Symbol,Bool}},typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),Array{Int64,2},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing,Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{StepRange{Char,Int64},Tuple{Bool},Tuple{Int64}}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,2},Tuple{Bool,Bool},Tuple{Int64,Int64}},Base.Broadcast.Extruded{Array{Int64,2},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Array{Int64,1},Tuple{Bool},Tuple{Int64}}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._describe),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,Function,Array{Int64,1},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,Function,Array{String,1},Vararg{Array{String,1},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Float64,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{String,1},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),GroupedDataFrame{DataFrame},Function,Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{AbstractArray{Int64,1},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Any,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{A,Pair{typeof(+),Symbol}} where A,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Array{Int64,1},Pair{typeof(-),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{AsTable,Pair{UnionAll,Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{AsTable,Pair{typeof(sum),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,B} where B,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(+),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(first),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(last),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(length),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{Int64,Pair{typeof(sum),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{UnitRange{Int64},Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Array{Pair{UnitRange{Int64},Pair{typeof(+),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Any,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{Int64,Pair{typeof(sum),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Pair{Int64,Pair{typeof(parent),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{Int64,B} where B,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{Int64,Pair{typeof(first),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{Int64,Pair{typeof(identity),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{Pair{Int64,Pair{typeof(length),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{Int64,Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{Int64,Pair{typeof(+),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{Int64,Pair{typeof(length),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{UnitRange{Int64},Pair{ByRow{typeof(+)},Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Pair{UnitRange{Int64},Pair{typeof(+),Symbol}},1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._names),DataFrames.SubIndex{DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,DataFrames.RepeatedVector{Union{Missing, Int64}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,DataFrames.RepeatedVector{Union{Missing, Int64}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,DataFrames.RepeatedVector{Union{Missing, String}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2, :x3, :x4),NTuple{4,Float64}},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Any,1},GroupedDataFrame{DataFrame},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},GroupedDataFrame{DataFrame},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1},GroupedDataFrame{DataFrame},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.StackedVector{Union{Missing, Float64}},GroupedDataFrame{DataFrame},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}},Array{Int64,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Any,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.StackedVector{Union{Missing, Float64}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.StackedVector{Union{Missing, Int64}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Int64,Int64,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Function}) -Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Any,1}},Int64,Tuple{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.compute_indices),Array{Int64,1},Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{BigInt,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Number,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Number},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Real},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Number,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Real,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Int64, Int8},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Number},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Real},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Any,1},Tuple{Bool},Tuple{Int64}},Int64}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Number},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Real},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Real,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Float64},1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Int64},1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Nothing, Int64},1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Any}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,String}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{typeof(filter!),Pair{Array{Int64,1},typeof(!=)},DataFrame}) +Base.precompile(Tuple{Type{DataFrame},Dict{Any,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int64},Int64}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Number,1}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},)) + end + end Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_append!),Bool,Array{String,1},Array{Missing,1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(/)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.cor),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,Cols{Tuple{Colon}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Tuple{Array{Complex{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Float64,2}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Regex,typeof(Statistics.cor)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Int64,1},typeof(+)}}) +Base.precompile(Tuple{Type{Dict},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x_first),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x,),Tuple{Int64}},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,Array{Any,1},)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, String},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{String,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Float64,Int64}}}) +Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Symbol}) +Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Real},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{6,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}},NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) 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-Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) 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-Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1}}}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Any,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Int64,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{String,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}},Bool}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},BigFloat,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},CategoricalArrays.CategoricalValue{Int64,UInt32},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Char,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Irrational{:π},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Markdown.MD,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},UnitRange{Int64},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.PipeEndpoint,Float32,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.PipeEndpoint,Float64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.PipeEndpoint,Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Float64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},BigFloat,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},CategoricalArrays.CategoricalValue{Int64,UInt32},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Char,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Irrational{:π},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Markdown.MD,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Missing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},Nothing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),Base.GenericIOBuffer{Array{UInt8,1}},UnitRange{Int64},Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.ourstrwidth),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},Float32,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),NTuple{4,Array{Float64,1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int64,1}},Val{true},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Val{true},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int64,1},Bool}) 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String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1}},Val{true},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Val{true},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Array{Int64,1},Pair{typeof(+),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{AsTable,Pair{ByRow{typeof(first)},Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Base.OneTo{Int64},Pair{typeof(+),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{ByRow{typeof(-)},Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{typeof(identity),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{typeof(length),Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{Int64,Pair{typeof(sum),Symbol}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{UnitRange{Int64},Pair{ByRow{typeof(/)},Symbol}},DataFrame,DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.select_transform!),Pair{UnitRange{Int64},Pair{ByRow{typeof(/)},Symbol}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrame,Dict{Symbol,Any},Bool,Base.RefValue{Bool}}) -Base.precompile(Tuple{typeof(DataFrames.showrows),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame,UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Bool,Bool,Symbol,Bool,Bool,Nothing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.showrows),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Bool,Bool,Symbol,Bool,Bool,Nothing,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.showrows),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Bool,Bool,Symbol,Bool,Bool,Int64,Base.GenericIOBuffer{Array{UInt8,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Tuple{Array{Char,1},Array{Char,1},Array{Char,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),DataFrame}) -Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(),Tuple{}},DataFrame}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b),Tuple{Int64,Union{Missing, Float64}}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int64,Int64,Int64}},DataFrame}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},DataFrame}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x,),Tuple{Int64}},DataFrame}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2, :x3, :x4),NTuple{4,Float64}},DataFrame}) -Base.precompile(Tuple{typeof(Tables.namedtupleiterator),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Tables.schema),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(allowmissing),DataFrame,InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{typeof(nrow),Symbol},1}}) -Base.precompile(Tuple{typeof(append!),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int64}}) -Base.precompile(Tuple{typeof(append!),DataFrame,Dict{Symbol,AbstractArray{T,1} where T}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Int64}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Symbol,1}}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int64}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Symbol}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Type{Integer}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame}) -Base.precompile(Tuple{typeof(categorical),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Bool,1}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Int64}) -Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Colon}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Regex}) -Base.precompile(Tuple{typeof(categorical),DataFrame,String}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int64}}) -Base.precompile(Tuple{typeof(categorical),DataFrames.RepeatedVector{String}}) -Base.precompile(Tuple{typeof(categorical),DataFrame}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Colon}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},String}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},Type{Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(minimum)}}) -Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{Array{Int64,1},Pair{ByRow{typeof(/)},Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1}}) -Base.precompile(Tuple{typeof(collect),Type{Pair},Array{Pair{AsTable,Pair{UnionAll,Symbol}},1}}) -Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,typeof(first)},1}}) -Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,typeof(last)},1}}) -Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{String,typeof(sum)},1}}) -Base.precompile(Tuple{typeof(combine),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) -Base.precompile(Tuple{typeof(combine),DataFrame,Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{typeof(combine),DataFrame,Pair{typeof(nrow),Symbol},Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(combine),DataFrame,Pair{typeof(nrow),Symbol}}) -Base.precompile(Tuple{typeof(combine),Function,DataFrame}) -Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Symbol},1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{String,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Colon,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Int64,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,ByRow{typeof(identity)}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Any,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String,Int64}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Symbol,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(findall),Function,DataFrames.DataFrameColumns{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e, :x, :y),Tuple{Array{String,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) +Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Cols{Tuple{Colon}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,InvertedIndex{Symbol},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,InvertedIndex{Symbol},)) + end + end +Base.precompile(Tuple{typeof(categorical!),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Cols{Tuple{Colon}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1},)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(unique),DataFrame,Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Any,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),String,Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.rowhash),Tuple{Array{Symbol,1}},Int64,UInt64}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{InvertedIndex{Symbol},ByRow{typeof(/)}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Regex,typeof(Statistics.cor)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{String,typeof(identity)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Bool,1},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int64,1},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Symbol,1},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Between{Symbol,Symbol},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},InvertedIndex{Symbol},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.mean),Symbol}}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Array{Bool,1},Int64}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Int64}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Column,),Tuple{Array{Symbol,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{String,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}}}) +isdefined(DataFrames, Symbol("#632#635")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#632#635")),Array{Bool,1}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{String,1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{String,1},Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Float64,1}},Vararg{Pair{String,Array{Float64,1}},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Bool}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int64},1},Array{Tuple{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Symbol}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,All{Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,3,StepRange{Char,Int64},Tuple{}}}}}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),UnitRange{Int64},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},typeof(+)}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.std),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.var),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(length),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(minimum),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(prod),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(length),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(prod),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol},Pair{Symbol,ByRow{typeof(sin)}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,UnionAll}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)},Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Dict},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(in),NamedTuple{(:a, :b),Tuple{Symbol,Int64}},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{BitArray{1},BitArray{1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(names),DataFrame,Type{T} where T}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:z, :y, :x),Tuple{Int64,Int64,Int64}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},)) + end + end +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Real,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(identity)}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :copycols),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},Bool}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(Statistics.var, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Nothing,Function,typeof(Statistics.var),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) + end + end +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Tuple{Symbol,Symbol},typeof(identity)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},typeof(nrow),Vararg{Union{Colon, typeof(nrow), Regex, AbstractString, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, All, Between, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},String}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow),typeof(nrow)}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow)}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Array{String,1},typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Array{Symbol,1},typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{AsTable,UnionAll},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{AsTable,typeof(identity)},DataFrame}) -Base.precompile(Tuple{typeof(combine),Pair{AsTable,typeof(identity)},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(combine),Pair{Colon,typeof(Statistics.cor)},DataFrame}) -Base.precompile(Tuple{typeof(combine),Pair{Colon,typeof(Statistics.cor)},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(combine),Pair{Int64,Pair{typeof(sum),Symbol}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Int64,typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Int64,typeof(sum)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Symbol,Pair{typeof(sum),Symbol}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Symbol,Symbol},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Symbol,typeof(identity)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{Symbol,typeof(sum)},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{typeof(nrow),String},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),Pair{typeof(nrow),Symbol},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{typeof(combine),typeof(nrow),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,Array{Bool,1}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Any,1}}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Symbol,1}}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,Regex}) -Base.precompile(Tuple{typeof(convert),Type{Array{Float64,1}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(convert),Type{Array{Float64,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(convert),Type{Array{Int64,2}},DataFrame}) -Base.precompile(Tuple{typeof(convert),Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(convert),Type{Array{Union{Missing, Float64},1}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Int64,2}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Union{Missing, Float64},2}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{T,1} where T}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{Union{Missing, Float64},1}}}) -Base.precompile(Tuple{typeof(convert),Type{Tuple},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),NTuple{4,Array{Float64,1}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),NTuple{4,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Array{Float64,1}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(/),Tuple{Array{Float64,1},Array{Float64,1}}}}}}) -Base.precompile(Tuple{typeof(copy),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},typeof(DataFrames._by_row_helper),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(/),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}}}) -Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(copyto!),Array{DataFrameRow{DataFrame,S} where S<:DataFrames.AbstractIndex,1},Tuple{DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}}) -Base.precompile(Tuple{typeof(copyto!),Array{String,1},DataFrames.RepeatedVector{String}}) -Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{String,1,Array{String,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x4, :x1, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Symbol}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Dict{String,Int64},Int64,Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) +Base.precompile(Tuple{typeof(transform!),DataFrame,Any}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Function,UnitRange{Int64}}) +Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Int64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{AbstractDataFrame,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{Symbol,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job, :_merge),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,UnionAll}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(crossjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{InvertedIndices.TupleVector{Tuple{Int64,Int64}}}}) -Base.precompile(Tuple{typeof(describe),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(describe),DataFrame}) -Base.precompile(Tuple{typeof(dropmissing!),DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(filter!),Pair{Array{Int64,1},typeof(!=)},DataFrame}) -Base.precompile(Tuple{typeof(filter!),Pair{Array{Symbol,1},typeof(==)},DataFrame}) -Base.precompile(Tuple{typeof(filter),Function,DataFrame}) -Base.precompile(Tuple{typeof(filter),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(filter),Pair{Array{Int64,1},typeof(!=)},DataFrame}) -Base.precompile(Tuple{typeof(filter),Pair{Array{Symbol,1},typeof(==)},DataFrame}) -Base.precompile(Tuple{typeof(findall),Function,DataFrames.DataFrameColumns{DataFrame}}) -Base.precompile(Tuple{typeof(findnext),Function,DataFrames.DataFrameColumns{DataFrame},Symbol}) -Base.precompile(Tuple{typeof(flatten),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Between{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Colon}) -Base.precompile(Tuple{typeof(flatten),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Regex}) -Base.precompile(Tuple{typeof(flatten),DataFrame,String}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,1},Tuple{Bool},Tuple{Int64}},Base.Broadcast.Extruded{Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},CartesianIndex{2}}) -Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,2},Tuple{Bool,Bool},Tuple{Int64,Int64}},Base.Broadcast.Extruded{SubArray{Float64,1,Array{Float64,2},Tuple{Array{Int64,1},Int64},false},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) -Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,2},Tuple{Bool,Bool},Tuple{Int64,Int64}},Base.Broadcast.Extruded{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) -Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(==),Tuple{Base.Broadcast.Extruded{Array{Nothing,1},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},CartesianIndex{2}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,String}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Symbol}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{InvertedIndex{Regex},Regex}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Regex,InvertedIndex{Regex}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64,String}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String,Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64,Symbol}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol,Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,String}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(hcat),Array{Int64,1},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_f1, :g_f2),Tuple{Array{Int64,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Number},1}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Dict{Symbol,UnitRange{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1, :x2),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Symbol},1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(identity)}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, BigInt},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, String},1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{InvertedIndex{Regex},Regex}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Char},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Cols{Tuple{Colon}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}},Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int64}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int64,Int64}},StepRange{Int64,Int64},Colon}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) +Base.precompile(Tuple{Type{DataFrame},Array{Int64,2},Array{Symbol,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,1},Tuple{Bool},Tuple{Int64}},Base.Broadcast.Extruded{Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},CartesianIndex{2}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Int64,DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}},Int64,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view,),Tuple{Bool}},typeof(stack),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Regex}) +Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int64}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),String,Int64,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{12,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(prod),Symbol}}}) +Base.precompile(Tuple{typeof(completecases),DataFrame,Regex}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :col),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}},Tuple{Int64,Tuple{Int64},Tuple{Base.OneTo{Int64},Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.append!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(append!),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Symbol}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,V} where V,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair,1}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{String,UnitRange{Int64}},Pair{String,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(minmax)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int64,Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{BigInt,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{String,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sin),Tuple{UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Cols{Tuple{Colon}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Missing,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Array{String,3}}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) +Base.precompile(Tuple{typeof(categorical),DataFrame}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64}}}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,All{Tuple{}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,All{Tuple{}},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Missing}}}) +Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}},Bool}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int64,Int64,Int64}},DataFrame}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Char,2}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Number,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,1}}}}) +Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(view),DataFrame,Array{Integer,1},Colon}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Colon,Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Real,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Int64}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Symbol}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),DataFrame}) +Base.precompile(Tuple{typeof(categorical),DataFrame,All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,B} where B,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e, :f, :g, :h),Tuple{Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Union{Missing, Float64},1},Array{String,1},Array{Symbol,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1},)) + end + end +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}},Int64}}}) +Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,Any}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) +let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},NamedTuple{(:a, :b),Tuple{Symbol,Int64}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) +Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Bool}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int64,1}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,UnitRange{Int64},Function}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,AbstractArray{Int64,1}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{T,1} where T}}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,UnitRange{Int64}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{Int64,UInt32},1,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),NTuple{4,Array{Float64,1}},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Number,1}}}) +Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Any,Int64}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{Type{DataFrame},Array{Float64,2},Symbol}) +Base.precompile(Tuple{typeof(isless),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Symbol,1}}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,BitArray{1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,InvertedIndex{String}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Array{Any,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,UnitRange{Int64},Colon}) -Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Array{String,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Array{Any,1}}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{InvertedIndex{Regex}}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Regex}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Array{Bool,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{BigInt,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, BigInt},1}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, String},1}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,UnitRange{BigInt}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{Symbol},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,Symbol,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,Symbol,)) + end + end +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) +Base.precompile(Tuple{typeof(dropmissing),DataFrame,Regex}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),DataFrames.RowGroupDict{DataFrame},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},BitArray{1}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},Function}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Any,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Bool,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Any},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Int64},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Symbol},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,V} where V,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any,Int64},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameColumns{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}}}) +isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Irrational{:π},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1},Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Int64,typeof(+)}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{String,1}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Real,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{String,2}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Dict{Symbol,Union{Missing, Int64}},Int64,Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{}}) +Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Array{String,1}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :keep, :g_function),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Char,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Bool,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{String,1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Float64,Float64},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int64,Int64}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,InvertedIndex{Regex},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,InvertedIndex{Regex},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},UnitRange{Int64},Colon}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{DataType,1},Type{T} where T,Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{Type{Array{Any,N} where N},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) +Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{SubString{String},1}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},InvertedIndex{UnitRange{Int64}},InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) +Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.select!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Ref,),Tuple{NamedTuple{(),Tuple{}}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{String}},typeof(antijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,)) + end + end Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol,Int64},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,3},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Float64,1}}) +Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(transform),DataFrame,Any}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},DataFrame}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Array{Int64,1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Number,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, NamedTuple{(:a, :b),Tuple{Symbol,Int64}}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, Tuple{Symbol,Int64}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, Tuple{Symbol,Int64}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int64}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},BitArray{1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Any,Any}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Int64,Any}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Any}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Any}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{NamedTuple{(:a, :b),Tuple{Missing,Int64}}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Tuple{Missing,Int64}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Tuple{Missing,Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{UnitRange{Bool}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Float64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,String}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int64,Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:b, :a),Tuple{Int64,Symbol}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Tuple{}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Bool}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},InvertedIndex{UnitRange{Int64}},InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Int64,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(groupby),DataFrame,String}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Symbol}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{DataFrame,1}}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,Regex}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int64,Int64},2},Symbol}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:summary,),Tuple{Bool}},typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}}}) Base.precompile(Tuple{typeof(groupby),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(groupindices),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(hash),DataFrame}) -Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) -Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},Tuple{Int64,Int64}}) -Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(hcat),DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) -Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,Array{String,1}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Any,1}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Array{Int64,1},1}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{String,1}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int64}},Pair{Symbol,Array{Int64,0}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,String},Pair{Symbol,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(isequal),Array{DataFrame,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) -Base.precompile(Tuple{typeof(isequal),Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1},Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1}}) -Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(isequal),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(isless),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(issorted),UnitRange{Int64},DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}},Tuple{Int64,Tuple{Int64},Tuple{Base.OneTo{Int64},Int64}}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}},Tuple{Tuple{Base.OneTo{Int64},Int64},Tuple{Base.OneTo{Int64},Int64}}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}}}) -Base.precompile(Tuple{typeof(iterate),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(length),DataFrames.StackedVector{Float64}}) -Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(map),Function,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:c, :d),Tuple{Int64,Int64}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:x, :a, :b),Tuple{Int64,Int64,Int64}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(:x,),Tuple{Int64}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(names),DataFrame,Function}) -Base.precompile(Tuple{typeof(names),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(names),DataFrame,Type{T} where T}) -Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},All{Tuple{String}}}) -Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},All{Tuple{}}}) -Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(names),DataFrame}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},All{Tuple{}}}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Regex}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(nonunique),DataFrame,Function}) -Base.precompile(Tuple{typeof(nonunique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(promote_type),Type{DataFrames.DataFrameColumns{DataFrame}},Type{Union{Missing, Nothing, GroupedDataFrame{DataFrame}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :B),Tuple{Int64,Missing,Float64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_function, :a),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, String},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(push!),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,2}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Any,Int64}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int64}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Any}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Bool}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Int64},Dict{Symbol,Int64}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,String}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Bool}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:first, :second),Tuple{Int64,String}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int64}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Float64,String}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Char}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Int64}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String,Int64}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Symbol}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int64}}) -Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{AbstractDataFrame,1}}) -Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{DataFrame,1}}) -Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(rename!),DataFrame,Dict{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(rename!),DataFrames.Index,Array{Pair{Symbol,Symbol},1}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,String},1}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,Symbol},1}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{Symbol,String},1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Colon}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},Function}) +Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Any,Bool,Bool}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.vect),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Vararg{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},N} where N}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,String}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,Symbol}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,String}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Symbol,String}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}},Vararg{Pair{String,Array{Any,1}},N} where N}) +Base.precompile(Tuple{typeof(iterate),DataFrames.StackedVector{Union{Missing, Int64}},Tuple{Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},typeof(+)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :Ref),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},NamedTuple{(),Tuple{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{BigInt,Symbol}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Float64,2}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}},Bool}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.OneTo{Int64}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :id, :y, :z),Tuple{Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(==),GroupedDataFrame{DataFrame},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Int64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Int64},Dict{Symbol,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int64},1},1},Symbol}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64},Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat!),DataFrame}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}},Int64}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Bool,Symbol}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,String}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol},Vararg{Pair{Symbol,Symbol},N} where N}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{UInt8,Symbol}}) -Base.precompile(Tuple{typeof(rename),Function,DataFrame}) -Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) -Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) -Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrame}) -Base.precompile(Tuple{typeof(select!),DataFrame,InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(select!),DataFrame,Pair{Symbol,Symbol},Vararg{Pair{Symbol,Symbol},N} where N}) -Base.precompile(Tuple{typeof(select!),DataFrame,String,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Int64,String}}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Int64,Symbol}}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{String,Int64}}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{String,String}}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{Symbol,Symbol}}}) -Base.precompile(Tuple{typeof(select),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(first)},1},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(first)},1}}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(last)},1},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(last)},1}}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{String,typeof(sum)},1}}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{Symbol,1},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Array{typeof(nrow),1}}) -Base.precompile(Tuple{typeof(select),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(select),DataFrame,Between{Int64,Symbol}}) -Base.precompile(Tuple{typeof(select),DataFrame,Between{Symbol,Int64}}) -Base.precompile(Tuple{typeof(select),DataFrame,Between{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(select),DataFrame,Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,InvertedIndex{Array{Symbol,1}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Int64,1},typeof(+)}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Symbol,1},Symbol}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{AsTable,typeof(sum)}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Colon,Pair{typeof(+),Symbol}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Int64,Symbol}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Regex,ByRow{typeof(rand)}}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{String,Symbol}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{String,typeof(identity)}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Pair{Symbol,Pair{typeof(identity),Symbol}},N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,Symbol},Vararg{Pair{Symbol,Symbol},N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{typeof(select),DataFrame,Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,String,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,String}) -Base.precompile(Tuple{typeof(select),DataFrame,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Regex}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Symbol}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,typeof(sum)},1}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{_A,typeof(sum)} where _A,1}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Symbol,1}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Regex}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{typeof(nrow),1}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Function,Vararg{Function,N} where N}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{typeof(nrow),1}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Function,Vararg{Function,N} where N}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{typeof(nrow),1}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Vararg{Function,N} where N}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Int64,ByRow{typeof(+)}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Int64,typeof(+)}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},ByRow{typeof(+)}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},typeof(+)}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{typeof(nrow),Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int64}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Array{Bool,1},Int64}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Symbol,Function},Bool}) +Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(==),Array{Int64,1},Vararg{Array{Int64,1},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Colon,All{Tuple{}}}) +Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Between{Symbol,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{ByRow{typeof(-)},Array{Int64,1}}) +Base.precompile(Tuple{typeof(unstack),DataFrame,Int64,Int64}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},StepRange{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Float32,Int64,Int64}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NTuple{4,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(identity)}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{Symbol},Array{Int64,1}}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Function,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Function,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},typeof(identity)}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int64}}) +Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(sum),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) +Base.precompile(Tuple{typeof(unstack),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Base.OneTo{Int64},Int64}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Colon,Int64}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},Colon,All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Nothing,1},typeof(!),Symbol}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},Colon,Symbol}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int64},Int64}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Colon,Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},UnitRange{Int64},Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,CategoricalArrays.CategoricalArray{Int64,1,UInt8,Int64,CategoricalArrays.CategoricalValue{Int64,UInt8},Union{}},typeof(!),Symbol}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow)}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Regex}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int64}) +isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrame,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) +Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Any,1}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{true}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Symbol,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Symbol}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Cols{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) +Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Nothing,Bool,Any,Symbol,Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{String}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64,Symbol}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int64}}}) +Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Dict{Symbol,Missing}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Float64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(names),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,Int64}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{DataFrame,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{names,Tuple{Int64,Int64}} where names,1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,Array{String,1}}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) + end + end +Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Symbol}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},Function}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Regex,InvertedIndex{Regex}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,String}},1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Float64},1},Array{Any,1}}) +Base.precompile(Tuple{Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) +Base.precompile(Tuple{typeof(DataFrames.printtable),Base.GenericIOBuffer{Array{UInt8,1}},DataFrame}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.mean),Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Array{Bool,1},Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Colon,All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index},Int64,Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Dict{String,Int64},Int64,Array{String,1}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Function,DataFrame,Val{2}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{UInt64,1},Colon}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:b, :a),Tuple{Int64,Int64}},Int64,Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Tuple{Int64,Int64},Int64,Colon}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,UnitRange{Int64},Colon,Int64}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},Function}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) +Base.precompile(Tuple{typeof(promote_type),Type{GroupedDataFrame{DataFrame}},Type{Union{Missing, Nothing}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(Statistics.mean, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(Statistics.mean),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) + end + end +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,String}}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Any,1},1}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Tables.schema),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{typeof(isequal),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},All{Tuple{}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,Symbol},1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int64,1}},Val{true},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{AbstractDataFrame,1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Any},1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(push!),DataFrame,Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{String,1},Array{String,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (String,String,Bool,Type{T} where T,typeof(stack),DataFrame,Array{String,1},Array{String,1},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,typeof(sum)}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Int64}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.transform, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform),DataFrame,Any,Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(exp)},Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},Colon,All{Tuple{}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigInt,1}}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Pair{UInt8,Symbol}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}}}) +isdefined(DataFrames, Symbol("#621#624")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#621#624")),Array{Union{Missing, Int64},1}}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :c),Tuple{Int64,Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int64,Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},Function}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{Any,Int64},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Any,1}}}) +Base.precompile(Tuple{typeof(rename!),DataFrames.Index,Array{Pair{Symbol,Symbol},1}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}}},Bool}) +Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Tuple{Array{Array{Float64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Array{Symbol,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :makeunique, :copycols),Tuple{Int64,Bool,Bool}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Colon,typeof(Statistics.cor)}}) +Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(minimum)}}) +Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(groupindices),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Array{Union{Missing, Int64},1},Bool}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),Array{NamedTuple{(),Tuple{}},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Int64,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,Symbol,Bool}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g2, :x, :g1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{BigFloat,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},typeof(nrow),Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,Array{Float64,1}}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Cols{Tuple{}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(sort),DataFrame,Cols{Tuple{Colon}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Val{true},Array{Int64,1},Bool,Bool}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},Function}) +Base.precompile(Tuple{typeof(flatten),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Tuple{Missing}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Union,1},Array{Symbol,1},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Nothing}) +isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Char,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Symbol,1},Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},Tuple{}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._combine_prepare)),NamedTuple{(:copycols, :keepkeys, :ungroup, :keeprows, :renamecols),NTuple{5,Bool}},typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},typeof(sum)}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Type{SubDataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Cols{Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Regex,InvertedIndex{Regex}}}}) +Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameColumns{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Float64,String,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.var),Symbol}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat!),DataFrame}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{String}}) +Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Union{Missing, Float64},2}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Any,1},)) + end + end Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{String,Int64},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},Colon,All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1},Colon,Int64}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,Colon,All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Colon,Int64}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Colon,Int64}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},Colon,Int64}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},DataFrame,UnitRange{Int64},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.RepeatedVector{Int64}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int64}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{BigInt,1},Colon}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},Colon,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},DataFrame}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{typeof(nrow),1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrame,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{Type{DataFrame},Dict{String,Any}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64,String}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Union{Missing, Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rename!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(rename!),DataFrames.Index,Array{Symbol,1}}) +let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(identity)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(+)}}) +Base.precompile(Tuple{typeof(stack),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,UnitRange{Int64},Colon}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(sum)},1}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Regex}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Array{String,1},Base.RefValue{ByRow{typeof(-)}}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Int64}) +Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,Array{Int64,1}},1}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,UnitRange{Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Function}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/latex")},DataFrame}) -Base.precompile(Tuple{typeof(similar),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Type{Tuple{Missing,Int64}}}) -Base.precompile(Tuple{typeof(similar),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Type{Tuple{Missing}}}) -Base.precompile(Tuple{typeof(similar),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Tuple},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Type{Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(sort),DataFrame,Function}) -Base.precompile(Tuple{typeof(sort),DataFrame,InvertedIndex{Array{Any,1}}}) -Base.precompile(Tuple{typeof(sort),DataFrame,Regex}) -Base.precompile(Tuple{typeof(sort),DataFrame}) -Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) -Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Symbol}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Irrational{:π},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames.group_rows),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Char}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(getindex),DataFrames.Index,UnitRange{BigInt}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Symbol,Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) Base.precompile(Tuple{typeof(stack),DataFrame,Regex}) -Base.precompile(Tuple{typeof(stack),DataFrame,Symbol,Array{Any,1}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(stack),DataFrame}) -Base.precompile(Tuple{typeof(transform!),DataFrame,Array{Pair{String,Pair{typeof(first),String}},1}}) -Base.precompile(Tuple{typeof(transform!),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(transform!),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(transform!),DataFrame,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{typeof(transform!),DataFrame,String,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(transform!),DataFrame,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Array{Pair{AsTable,B} where B,1}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Array{Pair{String,ByRow{typeof(-)}},1}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Array{Pair{String,Pair{typeof(first),String}},1}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Pair{AsTable,typeof(sum)}}) -Base.precompile(Tuple{typeof(transform),DataFrame,String,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(transform),DataFrame,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,ByRow{typeof(-)}},1}}) -Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Pair{String,Pair{typeof(first),String}},1}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Bool}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Symbol,1}}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Regex}) -Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(unique),DataFrame}) -Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Bool}) -Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.do_append!),Bool,Array{String,1},Array{Missing,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{typeof(nrow),1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F),NTuple{6,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Bool,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Any}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(prod),Symbol}}}) +Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{}}}) +Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(permutedims),DataFrame,Int64}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,)) + end + end +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(filter),Function,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Symbol}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Bool}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,Colon,All{Tuple{}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,2}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(first)}}) +Base.precompile(Tuple{typeof(DataFrames.escapedprint),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index},String}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) +Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) +Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(),Tuple{}},DataFrame}) +Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{DataFrame,1}}) +isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Markdown.MD,Int64,Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:c,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{String,1},typeof(identity)},Bool}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Real},1}}) +Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{Union{Nothing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(dropmissing),DataFrame,InvertedIndex{Symbol}}) +Base.precompile(Tuple{typeof(view),DataFrame,Int64,All{Tuple{}}}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64},InvertedIndex{Int64}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int64,1},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c_sum,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(flatten),DataFrame,String}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Regex}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}}}) +Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Missing,String,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},InvertedIndex{Symbol}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(identity)}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{T,1} where T,1},Symbol}) +Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Array{typeof(nrow),1},Bool}) +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},InvertedIndex{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Pair{typeof(identity),Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},UnitRange{Int64},Function}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow),typeof(nrow)}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) -Base.precompile(Tuple{typeof(values),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(vcat),DataFrame,DataFrame,DataFrame,Vararg{DataFrame,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :id1_1, :x_right),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, BigInt},1},Colon}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Float64},1},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),Array{Union{Missing, String},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_right),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Int64,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),UnitRange{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Real,1}}}) +Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(!=),Array{String,1},Vararg{Array{String,1},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) + end + end +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Array{Int64,1},Bool,Type{AsTable}}) +Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(setproperty!),DataFrame,Symbol,PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}}) +isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Colon,typeof(Statistics.cor)}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Int64,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(nonunique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Array{Float64,2},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function,Array{Int64,1}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigInt,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int64},1},DataFrames.RepeatedVector{String},Int64}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Array{Int64,1},1}}}) +let fbody = try __lookup_kwbody__(which(DataFrames._stackview, (DataFrame,Array{Int64,1},Array{Int64,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Type{T} where T,typeof(DataFrames._stackview),DataFrame,Array{Int64,1},Array{Int64,1},)) + end + end +Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :c),Tuple{Int64,Int64}},InvertedIndex{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :a),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) +Base.precompile(Tuple{typeof(describe),DataFrame}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Float64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) +Base.precompile(Tuple{typeof(map),Function,GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Array{Int64,1},1},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Int64}) +Base.precompile(Tuple{typeof(hcat),DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},)) + end + end +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Symbol,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int64,String}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.std),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_last, :x2_last, :x3_last, :x4_last),Tuple{Array{Int64,1},Int64,Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{UnitRange{Bool}}}) +Base.precompile(Tuple{Type{DataFrameRow},DataFrame,Int64,Function}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Type{Array{T,1} where T}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(length),Symbol}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) +let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Function,Bool,Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) + end + end +Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{String,ByRow{typeof(-)}},1}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) +Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(sum)}}) +Base.precompile(Tuple{typeof(allowmissing!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Float64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(transform!),DataFrame,Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) +Base.precompile(Tuple{typeof(view),DataFrame,Int64,Between{Int64,Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Tuple{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int64,Int64,Int64,Int64,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.Index},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{NamedTuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{typeof(identity),DataType}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,Pair{typeof(identity),DataType}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int64,1}},Pair{Symbol,Array{Float64,1}}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,Type{Integer}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(nonunique),DataFrame,Function}) +let fbody = try __lookup_kwbody__(which(isapprox, (DataFrame,DataFrame,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Int64,Float64,Bool,Function,typeof(isapprox),DataFrame,DataFrame,)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},UnitRange{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Tuple{Array{Array{Int64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C, :B, :A),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(filter),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int64}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Int64, Int8},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Number,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first),Tuple{Int64,Int64,Missing,Missing}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Symbol}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{UnitRange{Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(describe),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p, :q, :r),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:c_sum,),Tuple{Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{BigInt,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,String}}}) +Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,String},Pair{Symbol,UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},DataFrame}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{BigInt,1},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Integer,1},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, BigInt},1},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, Int64},1},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, Integer},1},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt64},1},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,BigInt,Regex}) -Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},BitArray{1}}) -Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Regex}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Symbol}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,Int64}) -Base.precompile(Tuple{typeof(view),DataFrame,Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),DataFrame,Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),DataFrame,Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,String}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:B, :A),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}},Val{true}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Bool,1}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{Array{Union{Missing, Bool},1},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :z),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :d),Tuple{Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Real},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) +Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Dict{Symbol,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) +let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},)) + end + end +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,String}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Any,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{10,DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Array{Bool,1}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Colon}) +Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int64}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) +Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) +Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int64,1}},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{String,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Number,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Regex}) -Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),InvertedIndex{InvertedIndex{Regex}}}) -Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{InvertedIndex{Colon}}}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{InvertedIndex{Regex}}}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int64,Int64}},StepRange{Int64,Int64},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{BigInt,1},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Bool,1},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},BitArray{1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Symbol}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Integer,1},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{UInt64,1},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, BigInt},1},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Int64},1},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Integer},1},Colon}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64,Symbol}}}) +Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) +Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),NTuple{4,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) +Base.precompile(Tuple{typeof(completecases),DataFrame,UnitRange{Int64}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Int64,1},typeof(+)}}) +Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,Symbol}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{Int64}}},typeof(describe),DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{typeof(nrow),1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) +Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) +let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) +Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, Integer},1},Colon}) +Base.precompile(Tuple{typeof(categorical),DataFrame,String}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, UInt64},1},Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Colon}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Regex}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},BitArray{1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Symbol}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Int64}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Symbol}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UInt64,Regex}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Function,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Int64}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64},Symbol}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function,Array{Int64,1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,All{Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Regex}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),UnitRange{Int64}}) \ No newline at end of file +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{String,String}}) +Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2, :y),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}) +Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Float64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1, :x2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,String,Bool}},typeof(outerjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y_function, :x_sum),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Bool,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :a),Tuple{Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Markdown.MD,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(view),DataFrame,Function,Between{Int64,Int64}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) +Base.precompile(Tuple{typeof(convert),Type{Tuple},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},Colon,Symbol}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) +Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,UnitRange{Int64}}) +Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2, :v3),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigInt,Union{Function, Type},Tuple{Array{BigInt,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(==),Array{DataFrameRow{DataFrame,DataFrames.Index},1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) +Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Int64,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int64}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,typeof(identity)}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol,Int64}}}) +isdefined(DataFrames, Symbol("#128#132")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#128#132")),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) +Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/html")},DataFrame}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{Any,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(first)}}) +Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},typeof(repr)}}) +Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{DataType,1},typeof(!),Symbol}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) +Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,2}}) +Base.precompile(Tuple{typeof(mapcols),typeof(categorical),DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{String,1}}}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(semijoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol}}}) +Base.precompile(Tuple{Type{DataFrame},Array{Array{String,1},1},Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{ByRow{typeof(minmax)},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},N} where N}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Int64,1},1}}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{Symbol,1}}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int64}},Type{DataFrame}}) +Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) + end + end +Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{Symbol},Val{false}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :a, :b, :c, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :nrow, :z2),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) +Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,String}},Function,GroupedDataFrame{DataFrame},Nothing}) +Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Colon,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) +Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Bool,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Array{Symbol,1}},Function}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) +Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x12345678901234567890,),Tuple{String}},Type{DataFrame}}) +let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Any,Any}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Function}) +Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) +Base.precompile(Tuple{typeof(Base.vect),DataFrames.UserColOrdering{Symbol},Vararg{Any,N} where N}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int64}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) +Base.precompile(Tuple{Type{DataFrame},BitArray{2},Array{String,1}}) +Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) +Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{String,1},Array{Symbol,1}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},ByRow{typeof(+)}}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) +Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Regex,typeof(Statistics.cor)},Bool}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) +Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) +Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) +Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) +Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) +Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) +Base.precompile(Tuple{typeof(vcat),DataFrame,DataFrame,DataFrame,Vararg{DataFrame,N} where N}) diff --git a/src/other/utils.jl b/src/other/utils.jl index d26376dcab..7bc8e847af 100644 --- a/src/other/utils.jl +++ b/src/other/utils.jl @@ -91,8 +91,8 @@ funname(c::ComposedFunction) = Symbol(funname(c.outer), :_, funname(c.inner)) # inf_timing = @snoopi tmin=0.01 include("test/runtests.jl") # using SnoopCompile # pc = SnoopCompile.parcel(inf_timing) -# SnoopCompile.write("src/precompile", pc[:DataFrames], always=true) +# SnoopCompile.write("src/other/precompile.jl", pc[:DataFrames], always=true) function precompile() - include(joinpath(dirname(pathof(DataFrames)), "precompile.jl")) + include(joinpath(dirname(pathof(DataFrames)), "other", "precompile.jl")) return nothing end From 9ff939dd37fa48e9959267c19baa0a87eb8600a8 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 16:05:49 +0100 Subject: [PATCH 03/17] Enable lighter precompilation at install time --- src/DataFrames.jl | 3 + src/other/precompile.jl | 7234 ++++++++++++++++++++------------------- src/other/utils.jl | 13 - 3 files changed, 3709 insertions(+), 3541 deletions(-) diff --git a/src/DataFrames.jl b/src/DataFrames.jl index a2d9acad7a..c3e7ac701b 100644 --- a/src/DataFrames.jl +++ b/src/DataFrames.jl @@ -126,4 +126,7 @@ include("deprecated.jl") include("other/tables.jl") +include("other/precompile.jl") +precompile() + end # module DataFrames diff --git a/src/other/precompile.jl b/src/other/precompile.jl index 0211f24879..f9f260db18 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -1,3528 +1,3706 @@ -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int64}}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Int64,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(hcat),DataFrame}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :ID2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(isequal),Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1},Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Int64},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{typeof(nrow),Symbol},1}}) -Base.precompile(Tuple{Type{DataFrame},Base.ReshapedArray{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Tuple{}},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{UnitRange{Int64},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :D, :E, :F),NTuple{5,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Symbol,1}}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) -Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Missing}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{StepRange{Char,Int64},StepRange{Char,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) -Base.precompile(Tuple{typeof(Tables.namedtupleiterator),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Symbol,1},typeof(identity)},Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(+)}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(Base.literal_pow),Tuple{Base.RefValue{typeof(^)},DataFrame,Base.RefValue{Val{2}}}}}) -isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{T,1,UInt32,V,C,Union{}} where C where V where T,1},Symbol}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(-)}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(filter!),Pair{Array{Symbol,1},typeof(==)},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Type{AsTable}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass),Tuple{Array{String,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Colon}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:d1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},String}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D),NTuple{4,Int64}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Array{Bool,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Nothing,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},StepRange{Char,Int64},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:b, :a),Tuple{Int64,Symbol}}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},typeof(+)}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Type{Ref},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt8,Bool,CategoricalArrays.CategoricalValue{Bool,UInt8},Union{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :x_first),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.compute_indices),Array{Int64,1},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}) -Base.precompile(Tuple{Type{DataFrame},Array{UnitRange,1},Symbol}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},typeof(DataFrame!)}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(Statistics.mean),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(hash),DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, Tuple{Symbol,Int64}},1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Number},1}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Base.RefValue{Float64},Union{Function, Type},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),All{Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Symbol,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Symbol,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1},Symbol}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1}},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g, :y),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigInt,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) -Base.precompile(Tuple{Type{DataFrame},Array{Union{Missing, Float64},2}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Number},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt64},1},Colon}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{_A,typeof(sum)} where _A,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Float64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:first, :second),Tuple{Int64,String}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},All{Tuple{}}}) -let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(select),DataFrame,Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,ByRow{typeof(first)}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first, :x1),Tuple{Int64,Int64,Missing,Missing,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) -Base.precompile(Tuple{typeof(rename),Function,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Bool}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Symbol}}) -let fbody = try __lookup_kwbody__(which(DataFrames.transform, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) -let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(copyto!),Array{String,1},DataFrames.RepeatedVector{String}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{String,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_callable),Union{Function, Type},Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:z,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{ByRow{typeof(first)},NamedTuple{(:a,),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right, :_rightX),Tuple{Int64,String}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,String}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{9,DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Symbol,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(append!),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) -let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol},Pair{Symbol,ByRow{typeof(sin)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Regex}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{NamedTuple{(),Tuple{}},1}}}) -Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt32,Bool,CategoricalArrays.CategoricalValue{Bool,UInt32},Union{}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, Function},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Int64,Int64}}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) -Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Float64,2}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Symbol,Array{Symbol,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{typeof(nrow),1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_function, :x1, :x2, :p, :q, :s, :t, :k, :l, :z),Tuple{Array{Array{Int64,1},1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(minimum),Symbol}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Integer},1},Colon}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},String}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1_function),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,UnionAll}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x3, :x1, :x2),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,typeof(sum)}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{ByRow{typeof(minmax)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :renamecols),Tuple{Array{Any,1},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{DataFrame,1}}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b),Tuple{UnitRange{Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, String},1},1},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Regex}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Cols{Tuple{Colon}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,Array{Bool,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Symbol,1}}}) -isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Char,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{T,1} where T},1},Symbol}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Union{Missing, Int64},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Real,1}}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int64},DataFrames.RepeatedVector{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Mass),Tuple{Array{Union{Missing, String},1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Tuple{Array{Dict{Symbol,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,String,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),NTuple{4,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64,Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,String,Pair{String,String},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,UnitRange{Int64},Colon,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{String,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Between{Symbol,Symbol}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Any}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_identity,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,3}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Char,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Any,2}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Array{Any,1},)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},ByRow{typeof(+)}}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Real},1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int64},1},Array{Int64,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{String,typeof(identity)}}) -Base.precompile(Tuple{Type{DataFrame},Pair{String,Int64},Vararg{Pair{String,Int64},N} where N}) -Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Bool},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Tuple{Array{Int64,1},Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Tuple{Symbol},Val{false}}) -let fbody = try __lookup_kwbody__(which(DataFrames.select!, (DataFrame,Any,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,typeof(select!),DataFrame,Any,)) - end - end -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.RepeatedVector{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{Any,Int64},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Symbol},1}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{Any,Int64},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) -Base.precompile(Tuple{typeof(transform),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{Real,2},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Bool}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},1},Array{Symbol,1}}) -isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Symbol}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1, :a_2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},Colon,All{Tuple{}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_function,),Tuple{Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(unique),DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Int64,1}},1}}) -Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Array{Any,1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any},1}}) -Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Float64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Number,1}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Colon,Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrame,Function,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Colon}) -Base.precompile(Tuple{typeof(<),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{UnionAll}}) -Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}},1}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Int64}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:g,),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{Type{DataFrame},Dict{String,Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int64},Array{Int64,0},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int64},Char,UnitRange{Int64},Char,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:first, :second),Tuple{Array{String,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(/)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{UnitRange{Int64},Array{Bool,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Int64},1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Cols{Tuple{Colon}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x3, :x2, :x4),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(rename!),DataFrame,Dict{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int64,Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,2},1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,)) - end - end -Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Regex}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Rational{Int64}},1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,String},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) -Base.precompile(Tuple{typeof(dropmissing),DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.Index},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(*),Tuple{Int64,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrameRow{DataFrame,DataFrames.Index},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}},Val{true}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(sum)}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :v1),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2, :x3),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int64}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Tuple{Array{Char,1},Array{Char,1},Array{Char,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{DataFrame,Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x, :y),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Between{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{InvertedIndex{Regex},Regex}}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Tuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :SID),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Float64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1, :x2),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{BigFloat,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) -Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Tuple{Array{Tuple{Float64,Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},NTuple{4,Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{InvertedIndices.TupleVector{Tuple{Int64,Int64}}}}) -Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},BitArray{1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Cols{Tuple{Colon}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Float64,1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int64,1},Int64,Int64,Missing,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator),Tuple{Symbol,Symbol}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(-),Tuple{Float64,Float64}}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Int64}}) -Base.precompile(Tuple{Type{DataFrame},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Float64}}}) -Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,String}},Tuple{Array{Int64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(permutedims),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) -Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int64}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int64}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sum),Tuple{DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sqrt),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1},)) - end - end -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Symbol},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c, :d),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.vect),DataFrame,Vararg{DataFrame,N} where N}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Missing,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Int64,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{DataFrameRow{DataFrame,DataFrames.Index},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Int64,1},Function}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) -let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,1},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(promote_type),Type{DataFrames.DataFrameColumns{DataFrame}},Type{Union{Missing, Nothing, GroupedDataFrame{DataFrame}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(unstack),DataFrame,String,String,String}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) -Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Cols{Tuple{String}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(filter),Pair{Array{Symbol,1},typeof(==)},DataFrame}) -Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:xmax,),Tuple{Float64}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{String},DataFrames.RepeatedVector{String}}) -let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{String,1}}},Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},typeof(!),Symbol}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UnitRange{Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{ByRow{typeof(/)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,String},1}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Rational{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int64}},Pair{Symbol,Array{Int64,0}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) -Base.precompile(Tuple{typeof(names),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}}},InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Function,UnitRange{Int64}}) -isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Float64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(flatten),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(rand)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{},Int64}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(),Tuple{}},Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Any,1}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(filter),Pair{Array{Int64,1},typeof(!=)},DataFrame}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(transform),Function,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{CategoricalArrays.CategoricalValue{Int64,UInt32}}}}}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(length),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Any,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_eltype,),Tuple{UnionAll}},typeof(stack),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Symbol,Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Float64},1},Array{Int64,1},Array{Bool,1},Array{Any,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Tuple{Array{Tuple{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(isequal),Array{DataFrame,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) -Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(sort),DataFrame,Regex}) -let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Float64,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataAPI.describe, (DataFrame,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(describe),DataFrame,)) - end - end -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),DataFrame,Symbol}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},Pair{typeof(+),String}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) -isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),UndefInitializer,Int64,Int64}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(merge),NamedTuple{(),Tuple{}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Symbol}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{String}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,Any}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sin),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int64,Tuple{Base.OneTo{Int64},Int64}}) -Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Any,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},BitArray{1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Int64}}) -Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},DataFrame}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Float64,1}},1}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}},Array{Int64,1}}) -Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},DataFrames.StackedVector{Union{Missing, Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Base.OneTo{Int64},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrame!),Dict{String,Any}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(append!),DataFrame,Dict{Symbol,AbstractArray{T,1} where T}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{String,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Float64}},DataFrames.RepeatedVector{Union{Missing, Float64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z, :xzz),Tuple{Int64,Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Tuple{Int64,Int64},Int64,Colon}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Nothing,Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Float64,String}}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) - end - end -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :matchmissing),Tuple{Array{Symbol,1},Symbol}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int64},Array{Int64,0}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}},Tuple{Tuple{Base.OneTo{Int64},Int64},Tuple{Base.OneTo{Int64},Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Any}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Array{Float64,2}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,2}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,InvertedIndex{String}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{InvertedIndex{Symbol},ByRow{typeof(/)}},Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Int64,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{Union{Missing, Float64},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_identity),Tuple{Array{Int64,1},Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Int64,Any}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String}}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,2},1}}) -Base.precompile(Tuple{typeof(iterate),Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},typeof(identity)},Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},)) - end - end -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(sort),DataFrame,InvertedIndex{Array{Any,1}}}) -Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Array{Int64,1},Tuple{Bool},Tuple{Int64}}}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,3},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Union{Missing, String},1}}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Real,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,3},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.RefValue{AsTable},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Colon,Colon}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},CategoricalArrays.CategoricalValue{String,UInt32},Int64}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},All{Tuple{}}}) -Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrame,DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) -Base.precompile(Tuple{Type{DataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Bool,Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{AbstractArray{Int64,1},1},Symbol}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,String}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{Symbol,String},1}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,Regex,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,Regex,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Any,1}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String,Int64}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index},Int64,Colon}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Tuple{Array{Rational{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{typeof(nrow),Symbol},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,3},DataFrame}) -Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,NTuple{4,Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Colon}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) -Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) -isdefined(DataFrames, Symbol("#400#401")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#400#401")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Cols{Tuple{Colon}},typeof(+)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any,Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Array{Symbol,1},Bool,Array{Tuple{Float64,Float64},1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{String}},typeof(semijoin),DataFrame,DataFrame}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Int64,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Int64,1},)) - end - end -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(identity),Tuple{Tuple{Int64,Int64}}}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Regex}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,String}}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{StepRange{Char,Int64},Tuple{Bool},Tuple{Int64}}}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{Pair{String,Pair{typeof(first),String}},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:nrow,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(transform!),Function,DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) -Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(merge),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int64,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Regex}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Cols{Tuple{Colon}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true},Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) -Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}},Pair{Int64,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:t,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int64,1}},1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Bool,1},Colon}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Irrational{:π}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Missing,String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,String}}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{Type{Tuple},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64},Symbol}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1, :x2),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Complex{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) -Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Regex}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(select!),DataFrame,Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{Type{DataFrame},Array{Any,2},Symbol}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xmax,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{String,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Integer,1},Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Int64,1},Function}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Float64,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Int64},1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(sort),DataFrame,Function}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,typeof(sum)},1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int64,Array{Any,1},Bool}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Int64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Missing,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Symbol}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{Array{Int64,1},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.vect),DataFrameRow{DataFrame,DataFrames.Index},Vararg{Any,N} where N}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,ByRow{typeof(identity)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{AbstractArray{T,1} where T,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(values),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},Type{Array{Float64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Int64},1},Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, String},1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.OneTo{Int64}}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Colon}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, Tuple{Symbol,Int64}},1}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{SubString{String},Array{Int64,1}},1}}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Any,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Any,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Array{Int64,1},Function}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(coalesce),Tuple{DataFrame,Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Float64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Colon}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{Symbol,Symbol,Bool}},typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),Array{Int64,2},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2, :x3, :x4),NTuple{4,Float64}},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Any}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,String}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{typeof(filter!),Pair{Array{Int64,1},typeof(!=)},DataFrame}) -Base.precompile(Tuple{Type{DataFrame},Dict{Any,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int64},Int64}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Number,1}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},)) - end - end -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Cols{Tuple{Colon}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Tuple{Array{Complex{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Float64,2}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Regex,typeof(Statistics.cor)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Int64,1},typeof(+)}}) -Base.precompile(Tuple{Type{Dict},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x_first),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x,),Tuple{Int64}},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,Array{Any,1},)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, String},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{String,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Float64,Int64}}}) -Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Symbol}) -Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Real},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{6,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Any,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String,Int64}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Symbol,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(findall),Function,DataFrames.DataFrameColumns{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e, :x, :y),Tuple{Array{String,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) -Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Cols{Tuple{Colon}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,InvertedIndex{Symbol},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,InvertedIndex{Symbol},)) - end - end -Base.precompile(Tuple{typeof(categorical!),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Cols{Tuple{Colon}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Array{Symbol,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1},)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(unique),DataFrame,Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Any,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),String,Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.rowhash),Tuple{Array{Symbol,1}},Int64,UInt64}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{InvertedIndex{Symbol},ByRow{typeof(/)}}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Array{Bool,1},Int64}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Int64}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Column,),Tuple{Array{Symbol,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{String,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}}}) -isdefined(DataFrames, Symbol("#632#635")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#632#635")),Array{Bool,1}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{String,1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{String,1},Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Float64,1}},Vararg{Pair{String,Array{Float64,1}},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Bool}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int64},1},Array{Tuple{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Symbol}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,All{Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,3,StepRange{Char,Int64},Tuple{}}}}}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),UnitRange{Int64},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},typeof(+)}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.std),Symbol}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Dict},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(in),NamedTuple{(:a, :b),Tuple{Symbol,Int64}},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{BitArray{1},BitArray{1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(names),DataFrame,Type{T} where T}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:z, :y, :x),Tuple{Int64,Int64,Int64}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},)) - end - end -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Real,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(identity)}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :copycols),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},Bool}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(Statistics.var, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Nothing,Function,typeof(Statistics.var),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) - end - end -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Tuple{Symbol,Symbol},typeof(identity)}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{String,1,Array{String,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x4, :x1, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Symbol}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Dict{String,Int64},Int64,Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) -Base.precompile(Tuple{typeof(transform!),DataFrame,Any}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Function,UnitRange{Int64}}) -Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Int64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{AbstractDataFrame,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{Symbol,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job, :_merge),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,UnionAll}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(crossjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64,String}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,String}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(hcat),Array{Int64,1},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_f1, :g_f2),Tuple{Array{Int64,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Number},1}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Dict{Symbol,UnitRange{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1, :x2),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Symbol},1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(identity)}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, BigInt},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, String},1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{InvertedIndex{Regex},Regex}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Char},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Cols{Tuple{Colon}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}},Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int64}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int64,Int64}},StepRange{Int64,Int64},Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) -Base.precompile(Tuple{Type{DataFrame},Array{Int64,2},Array{Symbol,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,1},Tuple{Bool},Tuple{Int64}},Base.Broadcast.Extruded{Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},CartesianIndex{2}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Int64,DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}},Int64,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view,),Tuple{Bool}},typeof(stack),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Regex}) -Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int64}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),String,Int64,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{12,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(prod),Symbol}}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,Regex}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :col),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}},Tuple{Int64,Tuple{Int64},Tuple{Base.OneTo{Int64},Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.append!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(append!),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Symbol}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,V} where V,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair,1}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{String,UnitRange{Int64}},Pair{String,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(minmax)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int64,Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{BigInt,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Int64,1}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sin),Tuple{UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Cols{Tuple{Colon}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Missing,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Array{String,3}}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{typeof(categorical),DataFrame}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64}}}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,All{Tuple{}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,All{Tuple{}},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Missing}}}) -Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}},Bool}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int64,Int64,Int64}},DataFrame}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Char,2}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Number,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,1}}}}) -Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Integer,1},Colon}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Colon,Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Real,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Int64}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Symbol}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),DataFrame}) -Base.precompile(Tuple{typeof(categorical),DataFrame,All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,B} where B,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e, :f, :g, :h),Tuple{Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Union{Missing, Float64},1},Array{String,1},Array{Symbol,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Symbol,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1},)) - end - end -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}},Int64}}}) -Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,Any}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) -let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},NamedTuple{(:a, :b),Tuple{Symbol,Int64}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) -Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Bool}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int64,1}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,UnitRange{Int64},Function}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,AbstractArray{Int64,1}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{T,1} where T}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,UnitRange{Int64}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{Int64,UInt32},1,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),NTuple{4,Array{Float64,1}},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Number,1}}}) -Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Any,Int64}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{Type{DataFrame},Array{Float64,2},Symbol}) -Base.precompile(Tuple{typeof(isless),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Symbol,1}}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,BitArray{1}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,Symbol,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,Symbol,)) - end - end -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) -Base.precompile(Tuple{typeof(dropmissing),DataFrame,Regex}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(getindex),DataFrames.RowGroupDict{DataFrame},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameColumns{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}}}) -isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Irrational{:π},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1},Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Int64,typeof(+)}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{String,1}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Real,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{String,2}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Dict{Symbol,Union{Missing, Int64}},Int64,Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{}}) -Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Array{String,1}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :keep, :g_function),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Char,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Bool,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{String,1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Float64,Float64},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int64,Int64}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,InvertedIndex{Regex},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,InvertedIndex{Regex},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},UnitRange{Int64},Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{DataType,1},Type{T} where T,Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{Type{Array{Any,N} where N},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) -Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{SubString{String},1}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},InvertedIndex{UnitRange{Int64}},InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) -Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.select!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Ref,),Tuple{NamedTuple{(),Tuple{}}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{String}},typeof(antijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol,Int64},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,3},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Float64,1}}) -Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(transform),DataFrame,Any}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},DataFrame}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Array{Int64,1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Number,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, NamedTuple{(:a, :b),Tuple{Symbol,Int64}}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Symbol}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{DataFrame,1}}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,Regex}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int64,Int64},2},Symbol}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:summary,),Tuple{Bool}},typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}}}) -Base.precompile(Tuple{typeof(groupby),DataFrame,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :B),Tuple{Int64,Missing,Float64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_function, :a),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, String},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},Function}) -Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Any,Bool,Bool}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.vect),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Vararg{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,String}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}},Vararg{Pair{String,Array{Any,1}},N} where N}) -Base.precompile(Tuple{typeof(iterate),DataFrames.StackedVector{Union{Missing, Int64}},Tuple{Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},typeof(+)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :Ref),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},NamedTuple{(),Tuple{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{BigInt,Symbol}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Float64,2}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}},Bool}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.OneTo{Int64}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :id, :y, :z),Tuple{Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(==),GroupedDataFrame{DataFrame},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Int64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Int64},Dict{Symbol,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int64},1},1},Symbol}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64},Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat!),DataFrame}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}},Int64}}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Bool,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Symbol,Function},Bool}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(==),Array{Int64,1},Vararg{Array{Int64,1},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Colon,All{Tuple{}}}) -Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Between{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{ByRow{typeof(-)},Array{Int64,1}}) -Base.precompile(Tuple{typeof(unstack),DataFrame,Int64,Int64}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},StepRange{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Float32,Int64,Int64}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NTuple{4,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(identity)}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{Symbol},Array{Int64,1}}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Function,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Function,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},typeof(identity)}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int64}}) -Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(sum),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) -Base.precompile(Tuple{typeof(unstack),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Base.OneTo{Int64},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow)}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Regex}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int64}) -isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrame,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Any,1}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{true}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Symbol,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Symbol}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Cols{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) -Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Nothing,Bool,Any,Symbol,Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{String}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64,Symbol}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int64}}}) -Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Dict{Symbol,Missing}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Float64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(names),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,Int64}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{DataFrame,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{names,Tuple{Int64,Int64}} where names,1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,Array{String,1}}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) - end - end -Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}},Val{true}}) -Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Symbol}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},Function}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Regex,InvertedIndex{Regex}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,String}},1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Float64},1},Array{Any,1}}) -Base.precompile(Tuple{Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) -Base.precompile(Tuple{typeof(DataFrames.printtable),Base.GenericIOBuffer{Array{UInt8,1}},DataFrame}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.mean),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Array{Bool,1},Colon}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Function,DataFrame,Val{2}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{UInt64,1},Colon}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:b, :a),Tuple{Int64,Int64}},Int64,Colon}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) -Base.precompile(Tuple{typeof(promote_type),Type{GroupedDataFrame{DataFrame}},Type{Union{Missing, Nothing}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(Statistics.mean, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(Statistics.mean),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) - end - end -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,String}}}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Any,1},1}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Tables.schema),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{typeof(isequal),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},All{Tuple{}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,Symbol},1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int64,1}},Val{true},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{AbstractDataFrame,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Any},1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(push!),DataFrame,Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{String,1},Array{String,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (String,String,Bool,Type{T} where T,typeof(stack),DataFrame,Array{String,1},Array{String,1},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,typeof(sum)}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Int64}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.transform, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(transform),DataFrame,Any,Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(exp)},Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},Colon,All{Tuple{}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigInt,1}}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Pair{UInt8,Symbol}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}}}) -isdefined(DataFrames, Symbol("#621#624")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#621#624")),Array{Union{Missing, Int64},1}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Any,1}}}) -Base.precompile(Tuple{typeof(rename!),DataFrames.Index,Array{Pair{Symbol,Symbol},1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}}},Bool}) -Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Tuple{Array{Array{Float64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Array{Symbol,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :makeunique, :copycols),Tuple{Int64,Bool,Bool}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Colon,typeof(Statistics.cor)}}) -Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(minimum)}}) -Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(groupindices),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Array{Union{Missing, Int64},1},Bool}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),Array{NamedTuple{(),Tuple{}},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Int64,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,Symbol,Bool}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g2, :x, :g1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{BigFloat,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},typeof(nrow),Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,Array{Float64,1}}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Cols{Tuple{}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(sort),DataFrame,Cols{Tuple{Colon}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Val{true},Array{Int64,1},Bool,Bool}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},Function}) -Base.precompile(Tuple{typeof(flatten),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Tuple{Missing}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Union,1},Array{Symbol,1},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Nothing}) -isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Char,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Symbol,1},Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},Tuple{}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._combine_prepare)),NamedTuple{(:copycols, :keepkeys, :ungroup, :keeprows, :renamecols),NTuple{5,Bool}},typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},typeof(sum)}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Type{SubDataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Cols{Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Regex,InvertedIndex{Regex}}}}) -Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameColumns{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Float64,String,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}},Int64,Colon}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.var),Symbol}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat!),DataFrame}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{String}}) -Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Union{Missing, Float64},2}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Any,1},)) - end - end -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{String,Int64},UnitRange{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{BigInt,1},Colon}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},Colon,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},DataFrame}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{typeof(nrow),1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrame,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{Type{DataFrame},Dict{String,Any}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64,String}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Union{Missing, Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rename!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(rename!),DataFrames.Index,Array{Symbol,1}}) -let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(identity)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(+)}}) -Base.precompile(Tuple{typeof(stack),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,UnitRange{Int64},Colon}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(sum)},1}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Regex}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Array{String,1},Base.RefValue{ByRow{typeof(-)}}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Int64}) -Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,Array{Int64,1}},1}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,UnitRange{Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Function}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/latex")},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Irrational{:π},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames.group_rows),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Char}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.Index,UnitRange{BigInt}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Symbol,Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) -Base.precompile(Tuple{typeof(stack),DataFrame,Regex}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.do_append!),Bool,Array{String,1},Array{Missing,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{typeof(nrow),1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F),NTuple{6,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Bool,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Any}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(prod),Symbol}}}) -Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{}}}) -Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(permutedims),DataFrame,Int64}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,)) - end - end -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(filter),Function,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Symbol}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Bool}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,Colon,All{Tuple{}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,2}}) -Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(first)}}) -Base.precompile(Tuple{typeof(DataFrames.escapedprint),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index},String}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) -Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) -Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(),Tuple{}},DataFrame}) -Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{DataFrame,1}}) -isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Markdown.MD,Int64,Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:c,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{String,1},typeof(identity)},Bool}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Real},1}}) -Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{Union{Nothing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(dropmissing),DataFrame,InvertedIndex{Symbol}}) -Base.precompile(Tuple{typeof(view),DataFrame,Int64,All{Tuple{}}}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64},InvertedIndex{Int64}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int64,1},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c_sum,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(flatten),DataFrame,String}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Regex}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}}}) -Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Missing,String,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},InvertedIndex{Symbol}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(identity)}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{T,1} where T,1},Symbol}) -Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Array{typeof(nrow),1},Bool}) -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},InvertedIndex{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Pair{typeof(identity),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},UnitRange{Int64},Function}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow),typeof(nrow)}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) -Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :id1_1, :x_right),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, BigInt},1},Colon}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Float64},1},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),Array{Union{Missing, String},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_right),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Int64,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),UnitRange{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Real,1}}}) -Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(!=),Array{String,1},Vararg{Array{String,1},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) - end - end -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Array{Int64,1},Bool,Type{AsTable}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(setproperty!),DataFrame,Symbol,PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}}) -isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Colon,typeof(Statistics.cor)}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Int64,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(nonunique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Array{Float64,2},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function,Array{Int64,1}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigInt,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int64},1},DataFrames.RepeatedVector{String},Int64}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Array{Int64,1},1}}}) -let fbody = try __lookup_kwbody__(which(DataFrames._stackview, (DataFrame,Array{Int64,1},Array{Int64,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Type{T} where T,typeof(DataFrames._stackview),DataFrame,Array{Int64,1},Array{Int64,1},)) - end - end -Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :c),Tuple{Int64,Int64}},InvertedIndex{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :a),Tuple{Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) -Base.precompile(Tuple{typeof(describe),DataFrame}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Float64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) -Base.precompile(Tuple{typeof(map),Function,GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Array{Int64,1},1},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Int64}) -Base.precompile(Tuple{typeof(hcat),DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},)) - end - end -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Symbol,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int64,String}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.std),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_last, :x2_last, :x3_last, :x4_last),Tuple{Array{Int64,1},Int64,Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{UnitRange{Bool}}}) -Base.precompile(Tuple{Type{DataFrameRow},DataFrame,Int64,Function}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Type{Array{T,1} where T}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(length),Symbol}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) -let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,Function,Bool,Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) - end - end -Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{String,ByRow{typeof(-)}},1}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) -Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(sum)}}) -Base.precompile(Tuple{typeof(allowmissing!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Float64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(transform!),DataFrame,Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) -Base.precompile(Tuple{typeof(view),DataFrame,Int64,Between{Int64,Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Tuple{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int64,Int64,Int64,Int64,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.Index},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{NamedTuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{typeof(identity),DataType}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,Pair{typeof(identity),DataType}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int64,1}},Pair{Symbol,Array{Float64,1}}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,Type{Integer}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(nonunique),DataFrame,Function}) -let fbody = try __lookup_kwbody__(which(isapprox, (DataFrame,DataFrame,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Int64,Float64,Bool,Function,typeof(isapprox),DataFrame,DataFrame,)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},UnitRange{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Tuple{Array{Array{Int64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C, :B, :A),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(filter),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int64}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Int64, Int8},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Number,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first),Tuple{Int64,Int64,Missing,Missing}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Symbol}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{UnitRange{Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(describe),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p, :q, :r),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:c_sum,),Tuple{Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{BigInt,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,String}}}) -Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,String},Pair{Symbol,UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Symbol}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,String}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:B, :A),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}},Val{true}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Bool,1}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{Array{Union{Missing, Bool},1},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :z),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :d),Tuple{Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Real},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) -Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Dict{Symbol,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) -let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},)) - end - end -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,String}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Any,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{10,DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Array{Bool,1}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Colon}) -Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int64}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) -Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) -Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int64,1}},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{String,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Number,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) -Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64,Symbol}}}) -Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) -Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),NTuple{4,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) -Base.precompile(Tuple{typeof(completecases),DataFrame,UnitRange{Int64}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Int64,1},typeof(+)}}) -Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,Symbol}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{Int64}}},typeof(describe),DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{typeof(nrow),1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) -Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) -let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) -Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, Integer},1},Colon}) -Base.precompile(Tuple{typeof(categorical),DataFrame,String}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, UInt64},1},Colon}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{String,String}}) -Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2, :y),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}) -Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Float64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1, :x2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,String,Bool}},typeof(outerjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y_function, :x_sum),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Bool,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :a),Tuple{Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Markdown.MD,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(view),DataFrame,Function,Between{Int64,Int64}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) -Base.precompile(Tuple{typeof(convert),Type{Tuple},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},Colon,Symbol}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) -Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,UnitRange{Int64}}) -Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2, :v3),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigInt,Union{Function, Type},Tuple{Array{BigInt,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(==),Array{DataFrameRow{DataFrame,DataFrames.Index},1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) -Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Int64,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int64}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,typeof(identity)}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol,Int64}}}) -isdefined(DataFrames, Symbol("#128#132")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#128#132")),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) -Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/html")},DataFrame}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{Any,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(first)}}) -Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},typeof(repr)}}) -Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{DataType,1},typeof(!),Symbol}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) -Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,2}}) -Base.precompile(Tuple{typeof(mapcols),typeof(categorical),DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{String,1}}}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(semijoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol}}}) -Base.precompile(Tuple{Type{DataFrame},Array{Array{String,1},1},Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{ByRow{typeof(minmax)},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},N} where N}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Int64,1},1}}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{Symbol,1}}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int64}},Type{DataFrame}}) -Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) - end - end -Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{Symbol},Val{false}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :a, :b, :c, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :nrow, :z2),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) -Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,String}},Function,GroupedDataFrame{DataFrame},Nothing}) -Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Colon,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) -Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Bool,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Array{Symbol,1}},Function}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) -Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x12345678901234567890,),Tuple{String}},Type{DataFrame}}) -let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) - end - end -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Any,Any}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Function}) -Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) -Base.precompile(Tuple{typeof(Base.vect),DataFrames.UserColOrdering{Symbol},Vararg{Any,N} where N}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int64}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) -Base.precompile(Tuple{Type{DataFrame},BitArray{2},Array{String,1}}) -Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) -Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{String,1},Array{Symbol,1}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},ByRow{typeof(+)}}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) -Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Regex,typeof(Statistics.cor)},Bool}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) -Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) -Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) -Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) -Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) -Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) -Base.precompile(Tuple{typeof(vcat),DataFrame,DataFrame,DataFrame,Vararg{DataFrame,N} where N}) +# precompile.jl contains precompilation directives for all methods whose compilation +# is triggered by running DataFrames tests and takes more than a given threshold +# For all=true, the threshold is 0.01, for all=false it is 0.2. +# `precompile` calls are generated using SnoopCompile via: +# using SnoopCompileCore +# inf_timing = @snoopi tmin=0.01 include("test/runtests.jl") +# using SnoopCompile +# pc = SnoopCompile.parcel(inf_timing) +# SnoopCompile.write("src/other/precompile_tmp.jl", pc[:DataFrames], always=true) +function precompile(all=false) + if !all + ccall(:jl_generating_output, Cint, ()) == 1 || return nothing + + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) + end + end + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,typeof(sum)}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Tuple{Symbol,Symbol},typeof(identity)}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) + Base.precompile(Tuple{typeof(stack),DataFrame}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) + Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(groupby),DataFrame,Symbol}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}}}) + Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) + Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(describe),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) + Base.precompile(Tuple{typeof(permutedims),DataFrame,Symbol}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) + Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + else + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int64}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Int64,1},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(hcat),DataFrame}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :ID2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(isequal),Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1},Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Int64},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{typeof(nrow),Symbol},1}}) + Base.precompile(Tuple{Type{DataFrame},Base.ReshapedArray{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Tuple{}},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{UnitRange{Int64},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :D, :E, :F),NTuple{5,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Symbol,1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Symbol,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) + Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Missing}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{StepRange{Char,Int64},StepRange{Char,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(Tables.namedtupleiterator),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Symbol,1},typeof(identity)},Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(+)}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(Base.literal_pow),Tuple{Base.RefValue{typeof(^)},DataFrame,Base.RefValue{Val{2}}}}}) + isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{T,1,UInt32,V,C,Union{}} where C where V where T,1},Symbol}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(-)}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Array{String,1}}) + Base.precompile(Tuple{typeof(filter!),Pair{Array{Symbol,1},typeof(==)},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Type{AsTable}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,2}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass),Tuple{Array{String,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Colon}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:d1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},String}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D),NTuple{4,Int64}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Array{Bool,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Nothing,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},StepRange{Char,Int64},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:b, :a),Tuple{Int64,Symbol}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},typeof(+)}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Type{Ref},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt8,Bool,CategoricalArrays.CategoricalValue{Bool,UInt8},Union{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :x_first),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.compute_indices),Array{Int64,1},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}) + Base.precompile(Tuple{Type{DataFrame},Array{UnitRange,1},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},typeof(DataFrame!)}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(Statistics.mean),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(hash),DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, Tuple{Symbol,Int64}},1}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Number},1}}) + Base.precompile(Tuple{typeof(unique),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Base.RefValue{Float64},Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Symbol,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Symbol,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1},Symbol}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1}},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g, :y),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigInt,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) + Base.precompile(Tuple{Type{DataFrame},Array{Union{Missing, Float64},2}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Number},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Between{Int64,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt64},1},Colon}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{_A,typeof(sum)} where _A,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Float64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:first, :second),Tuple{Int64,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},All{Tuple{}}}) + let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(select),DataFrame,Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,ByRow{typeof(first)}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first, :x1),Tuple{Int64,Int64,Missing,Missing,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) + Base.precompile(Tuple{typeof(rename),Function,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(antijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Bool}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Symbol}}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copyto!),Array{String,1},DataFrames.RepeatedVector{String}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{String,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_callable),Union{Function, Type},Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:z,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) + Base.precompile(Tuple{ByRow{typeof(first)},NamedTuple{(:a,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right, :_rightX),Tuple{Int64,String}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,String}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{9,DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Symbol,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(append!),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(antijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,1},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol},Pair{Symbol,ByRow{typeof(sin)}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Regex}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{NamedTuple{(),Tuple{}},1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt32,Bool,CategoricalArrays.CategoricalValue{Bool,UInt32},Union{}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, Function},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Real,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Int64,Int64}}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) + Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Float64,2}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Symbol,Array{Symbol,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{typeof(nrow),1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_function, :x1, :x2, :p, :q, :s, :t, :k, :l, :z),Tuple{Array{Array{Int64,1},1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(minimum),Symbol}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Integer},1},Colon}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Function,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},String}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1_function),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,UnionAll}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x3, :x1, :x2),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,typeof(sum)}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{ByRow{typeof(minmax)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :renamecols),Tuple{Array{Any,1},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{DataFrame,1}}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b),Tuple{UnitRange{Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, String},1},1},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Regex}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) + Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,Array{Bool,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Symbol,1}}}) + isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Char,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{T,1} where T},1},Symbol}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Union{Missing, Int64},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Real,1}}}) + Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int64},DataFrames.RepeatedVector{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Mass),Tuple{Array{Union{Missing, String},1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Tuple{Array{Dict{Symbol,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,String,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,typeof(first)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),NTuple{4,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64,Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,String,Pair{String,String},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,UnitRange{Int64},Colon,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{String,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Between{Symbol,Symbol}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Any}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_identity,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,3}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Char,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Any,2}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Array{Any,1},)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},ByRow{typeof(+)}}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Real},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int64},1},Array{Int64,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{String,typeof(identity)}}) + Base.precompile(Tuple{Type{DataFrame},Pair{String,Int64},Vararg{Pair{String,Int64},N} where N}) + Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Bool},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Tuple{Array{Int64,1},Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Tuple{Symbol},Val{false}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select!, (DataFrame,Any,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,typeof(select!),DataFrame,Any,)) + end + end + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.RepeatedVector{Int64}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{Any,Int64},UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Symbol},1}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Any,Int64},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) + Base.precompile(Tuple{typeof(transform),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Real,2},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Bool}) + Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},1},Array{Symbol,1}}) + isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Symbol}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1, :a_2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},Colon,All{Tuple{}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_function,),Tuple{Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(antijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(unique),DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Int64,1}},1}}) + Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Array{Any,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any},1}}) + Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(semijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,2}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Float64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) + Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Number,1}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Colon,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrame,Function,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Colon}) + Base.precompile(Tuple{typeof(<),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{UnionAll}}) + Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}},1}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:g,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{Type{DataFrame},Dict{String,Int64}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int64},Array{Int64,0},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int64},Char,UnitRange{Int64},Char,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:first, :second),Tuple{Array{String,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(/)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{UnitRange{Int64},Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Int64},1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x3, :x2, :x4),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(rename!),DataFrame,Dict{Symbol,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int64,Int64,Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,2},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,)) + end + end + Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Regex}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Rational{Int64}},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,String},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.Index},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(*),Tuple{Int64,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrameRow{DataFrame,DataFrames.Index},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(sum)}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :v1),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2, :x3),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int64}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Tuple{Array{Char,1},Array{Char,1},Array{Char,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{DataFrame,Base.RefValue{Nothing}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x, :y),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Between{Symbol,Symbol}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{InvertedIndex{Regex},Regex}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Tuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :SID),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Float64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1, :x2),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{BigFloat,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) + Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Tuple{Array{Tuple{Float64,Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},NTuple{4,Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{InvertedIndices.TupleVector{Tuple{Int64,Int64}}}}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},BitArray{1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Float64,1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int64,1},Int64,Int64,Missing,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator),Tuple{Symbol,Symbol}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(-),Tuple{Float64,Float64}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,UnionAll}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Int64}}) + Base.precompile(Tuple{Type{DataFrame},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Float64}}}) + Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,String}},Tuple{Array{Int64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(permutedims),DataFrame,Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) + Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int64}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int64}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int64}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(unique),DataFrame,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sum),Tuple{DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sqrt),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Symbol},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c, :d),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(Base.vect),DataFrame,Vararg{DataFrame,N} where N}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Missing,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Int64,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{DataFrameRow{DataFrame,DataFrames.Index},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Int64,1},Function}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,1},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(promote_type),Type{DataFrames.DataFrameColumns{DataFrame}},Type{Union{Missing, Nothing, GroupedDataFrame{DataFrame}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(unstack),DataFrame,String,String,String}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) + Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Cols{Tuple{String}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(filter),Pair{Array{Symbol,1},typeof(==)},DataFrame}) + Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:xmax,),Tuple{Float64}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{String},DataFrames.RepeatedVector{String}}) + let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{String,1}}},Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},typeof(!),Symbol}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UnitRange{Int64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) + Base.precompile(Tuple{ByRow{typeof(/)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Int64}) + Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,String},1}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Rational{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int64}},Pair{Symbol,Array{Int64,0}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) + Base.precompile(Tuple{typeof(names),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Function,UnitRange{Int64}}) + isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Float64,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(flatten),DataFrame,All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(rand)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{},Int64}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(),Tuple{}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Any,1}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(filter),Pair{Array{Int64,1},typeof(!=)},DataFrame}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/html")},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(transform),Function,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{CategoricalArrays.CategoricalValue{Int64,UInt32}}}}}) + Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(length),Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Any,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/html")},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_eltype,),Tuple{UnionAll}},typeof(stack),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(stack),DataFrame,Symbol,Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) + Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Float64},1},Array{Int64,1},Array{Bool,1},Array{Any,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Tuple{Array{Tuple{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(isequal),Array{DataFrame,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) + Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(sort),DataFrame,Regex}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Float64,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataAPI.describe, (DataFrame,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(describe),DataFrame,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),DataFrame,Symbol}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},Pair{typeof(+),String}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),UndefInitializer,Int64,Int64}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(merge),NamedTuple{(),Tuple{}},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Symbol}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{String}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int64,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(antijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,Any}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int64,Int64}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sin),Tuple{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) + Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int64,Tuple{Base.OneTo{Int64},Int64}}) + Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Int64}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Any,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},BitArray{1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Int64}}) + Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},DataFrame}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Float64,1}},1}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}},Array{Int64,1}}) + Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},DataFrames.StackedVector{Union{Missing, Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Base.OneTo{Int64},Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrame!),Dict{String,Any}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(antijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(append!),DataFrame,Dict{Symbol,AbstractArray{T,1} where T}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{String,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Float64}},DataFrames.RepeatedVector{Union{Missing, Float64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z, :xzz),Tuple{Int64,Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Tuple{Int64,Int64},Int64,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Nothing,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Float64,String}}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) + end + end + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :matchmissing),Tuple{Array{Symbol,1},Symbol}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int64},Array{Int64,0}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}},Tuple{Tuple{Base.OneTo{Int64},Int64},Tuple{Base.OneTo{Int64},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Any}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Array{Float64,2}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,2}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,InvertedIndex{String}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,UnitRange{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{InvertedIndex{Symbol},ByRow{typeof(/)}},Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Int64,1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{Union{Missing, Float64},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(semijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_identity),Tuple{Array{Int64,1},Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Int64,Any}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String}}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,2},1}}) + Base.precompile(Tuple{typeof(iterate),Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},typeof(identity)},Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Regex}}) + Base.precompile(Tuple{typeof(sort),DataFrame,InvertedIndex{Array{Any,1}}}) + Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Array{Int64,1},Tuple{Bool},Tuple{Int64}}}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,3},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Union{Missing, String},1}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Real,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,3},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.RefValue{AsTable},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Colon,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},CategoricalArrays.CategoricalValue{String,UInt32},Int64}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},All{Tuple{}}}) + Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrame,DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) + Base.precompile(Tuple{Type{DataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Bool,Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{AbstractArray{Int64,1},1},Symbol}) + Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,String}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{Symbol,String},1}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,Regex,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,Regex,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Any,1}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String,Int64}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index},Int64,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Tuple{Array{Rational{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{typeof(nrow),Symbol},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,3},DataFrame}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,NTuple{4,Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Colon}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) + Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Between{Int64,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) + isdefined(DataFrames, Symbol("#400#401")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#400#401")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Cols{Tuple{Colon}},typeof(+)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any,Int64},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Array{Symbol,1},Bool,Array{Tuple{Float64,Float64},1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{String}},typeof(semijoin),DataFrame,DataFrame}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Int64,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Int64,1},)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(identity),Tuple{Tuple{Int64,Int64}}}}) + Base.precompile(Tuple{typeof(unique),DataFrame,Regex}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,String}}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Bool,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{StepRange{Char,Int64},Tuple{Bool},Tuple{Int64}}}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{Pair{String,Pair{typeof(first),String}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:nrow,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(transform!),Function,DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) + Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) + Base.precompile(Tuple{typeof(merge),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int64,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Regex}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}},Pair{Int64,Pair{typeof(sum),Symbol}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:t,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int64,1}},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Bool,1},Colon}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Irrational{:π}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Missing,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,String}}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{Type{Tuple},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64},Symbol}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1, :x2),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Complex{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) + Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Regex}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(select!),DataFrame,Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Type{DataFrame},Array{Any,2},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xmax,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{String,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Integer,1},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Int64,1},Function}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Float64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Int64},1},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(sort),DataFrame,Function}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,typeof(sum)},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},Between{Int64,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int64,Array{Any,1},Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Int64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Missing,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Symbol}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{Array{Int64,1},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.vect),DataFrameRow{DataFrame,DataFrames.Index},Vararg{Any,N} where N}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,ByRow{typeof(identity)}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{AbstractArray{T,1} where T,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(values),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},Type{Array{Float64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Int64},1},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, String},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.OneTo{Int64}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Colon}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, Tuple{Symbol,Int64}},1}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{SubString{String},Array{Int64,1}},1}}) + Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Any,1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Any,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Array{Int64,1},Function}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(coalesce),Tuple{DataFrame,Base.RefValue{Nothing}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Float64,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Colon}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{Symbol,Symbol,Bool}},typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),Array{Int64,2},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Regex}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2, :x3, :x4),NTuple{4,Float64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Any}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,String}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,UnionAll}}) + Base.precompile(Tuple{typeof(filter!),Pair{Array{Int64,1},typeof(!=)},DataFrame}) + Base.precompile(Tuple{Type{DataFrame},Dict{Any,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int64},Int64}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Number,1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Tuple{Array{Complex{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Float64,2}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Regex,typeof(Statistics.cor)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Int64,1},typeof(+)}}) + Base.precompile(Tuple{Type{Dict},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x_first),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x,),Tuple{Int64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,Array{Any,1},)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, String},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{String,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Float64,Int64}}}) + Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) + let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Symbol}) + Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Real},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{6,DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Any,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Symbol,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(findall),Function,DataFrames.DataFrameColumns{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e, :x, :y),Tuple{Array{String,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) + Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int64},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,InvertedIndex{Symbol},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,InvertedIndex{Symbol},)) + end + end + Base.precompile(Tuple{typeof(categorical!),DataFrame,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1},)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(unique),DataFrame,Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Any,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),String,Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.rowhash),Tuple{Array{Symbol,1}},Int64,UInt64}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{InvertedIndex{Symbol},ByRow{typeof(/)}}}) + Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Array{Bool,1},Int64}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Int64}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Column,),Tuple{Array{Symbol,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{String,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}}}) + isdefined(DataFrames, Symbol("#632#635")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#632#635")),Array{Bool,1}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{String,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{typeof(sum),Symbol}},1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{String,1},Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Float64,1}},Vararg{Pair{String,Array{Float64,1}},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Bool}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int64},1},Array{Tuple{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) + Base.precompile(Tuple{typeof(view),DataFrame,Function,All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,3,StepRange{Char,Int64},Tuple{}}}}}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, Int64},1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),UnitRange{Int64},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},typeof(+)}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.std),Symbol}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Dict},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) + Base.precompile(Tuple{typeof(in),NamedTuple{(:a, :b),Tuple{Symbol,Int64}},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{BitArray{1},BitArray{1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(names),DataFrame,Type{T} where T}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:z, :y, :x),Tuple{Int64,Int64,Int64}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Real,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(identity)}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :copycols),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},Bool}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(Statistics.var, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Nothing,Function,typeof(Statistics.var),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) + end + end + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Tuple{Symbol,Symbol},typeof(identity)}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{String,1,Array{String,1},Tuple{Base.OneTo{Int64}},true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x4, :x1, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Symbol}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) + Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Dict{String,Int64},Int64,Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) + Base.precompile(Tuple{typeof(transform!),DataFrame,Any}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Function,UnitRange{Int64}}) + Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Int64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{AbstractDataFrame,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{Symbol,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job, :_merge),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,UnionAll}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(crossjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64,String}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Int64}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(hcat),Array{Int64,1},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_f1, :g_f2),Tuple{Array{Int64,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Number},1}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Dict{Symbol,UnitRange{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,Int64},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1, :x2),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Symbol},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(identity)}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, BigInt},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, String},1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{InvertedIndex{Regex},Regex}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Char},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int64}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int64,Int64}},StepRange{Int64,Int64},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Int64,2},Array{Symbol,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,1},Tuple{Bool},Tuple{Int64}},Base.Broadcast.Extruded{Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},CartesianIndex{2}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Int64,DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}},Int64,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view,),Tuple{Bool}},typeof(stack),DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Regex}) + Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),String,Int64,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{12,DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(prod),Symbol}}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,Regex}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :col),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}},Tuple{Int64,Tuple{Int64},Tuple{Base.OneTo{Int64},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.append!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(append!),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Symbol}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,V} where V,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair,1}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{String,UnitRange{Int64}},Pair{String,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Symbol}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(minmax)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int64,Int64}},InvertedIndex{Int64}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{BigInt,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Int64,1}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sin),Tuple{UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Missing,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Array{String,3}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Array{Union{Missing, Int64},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) + Base.precompile(Tuple{typeof(categorical),DataFrame}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64}}}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,All{Tuple{}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,All{Tuple{}},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Missing}}}) + Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}},Bool}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int64,Int64,Int64}},DataFrame}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Char,2}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Number,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,1}}}}) + Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,Array{Integer,1},Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Colon,Int64}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Real,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Int64}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Symbol}}}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),DataFrame}) + Base.precompile(Tuple{typeof(categorical),DataFrame,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,B} where B,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e, :f, :g, :h),Tuple{Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Union{Missing, Float64},1},Array{String,1},Array{Symbol,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1},)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}},Int64}}}) + Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,Any}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},NamedTuple{(:a, :b),Tuple{Symbol,Int64}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) + Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Bool}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int64,1}},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,UnitRange{Int64},Function}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,AbstractArray{Int64,1}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{T,1} where T}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,UnitRange{Int64}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{Int64,UInt32},1,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),NTuple{4,Array{Float64,1}},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Number,1}}}) + Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Any,Int64}}) + Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Bool,1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Float64,2},Symbol}) + Base.precompile(Tuple{typeof(isless),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Symbol,1}}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,BitArray{1}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,Symbol,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,Symbol,)) + end + end + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,Regex}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),DataFrames.RowGroupDict{DataFrame},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameColumns{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Irrational{:π},Int64,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Int64,typeof(+)}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{String,1}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Real,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{String,2}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Dict{Symbol,Union{Missing, Int64}},Int64,Base.OneTo{Int64},Int64,Int64}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Array{String,1}}) + Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :keep, :g_function),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Char,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Bool,1},1},Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{String,1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Float64,Float64},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int64,Int64}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,InvertedIndex{Regex},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,InvertedIndex{Regex},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},UnitRange{Int64},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{DataType,1},Type{T} where T,Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{Type{Array{Any,N} where N},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) + Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{SubString{String},1}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},InvertedIndex{UnitRange{Int64}},InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) + Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Ref,),Tuple{NamedTuple{(),Tuple{}}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{String}},typeof(antijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol,Int64},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,3},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Float64,1}}) + Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(transform),DataFrame,Any}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},DataFrame}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Number,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(semijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, NamedTuple{(:a, :b),Tuple{Symbol,Int64}}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Symbol}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{DataFrame,1}}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,Regex}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int64,Int64},2},Symbol}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:summary,),Tuple{Bool}},typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}}}) + Base.precompile(Tuple{typeof(groupby),DataFrame,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :B),Tuple{Int64,Missing,Float64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_function, :a),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, String},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int64}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},Function}) + Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Any,Bool,Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.vect),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Vararg{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,String}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}},Vararg{Pair{String,Array{Any,1}},N} where N}) + Base.precompile(Tuple{typeof(iterate),DataFrames.StackedVector{Union{Missing, Int64}},Tuple{Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},typeof(+)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :Ref),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},NamedTuple{(),Tuple{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Float64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Pair{BigInt,Symbol}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Float64,2}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}},Bool}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.OneTo{Int64}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :id, :y, :z),Tuple{Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),GroupedDataFrame{DataFrame},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Int64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Int64},Dict{Symbol,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int64},1},1},Symbol}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64},Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat!),DataFrame}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}},Int64}}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Bool,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Symbol,Function},Bool}) + Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(==),Array{Int64,1},Vararg{Array{Int64,1},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Colon,All{Tuple{}}}) + Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Between{Symbol,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{ByRow{typeof(-)},Array{Int64,1}}) + Base.precompile(Tuple{typeof(unstack),DataFrame,Int64,Int64}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},StepRange{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Float32,Int64,Int64}) + Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NTuple{4,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(identity)}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{Symbol},Array{Int64,1}}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Function,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Function,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},typeof(identity)}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int64}}) + Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(sum),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) + Base.precompile(Tuple{typeof(unstack),DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Base.OneTo{Int64},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow)}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Regex}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int64}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrame,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Any,1}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{true}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Symbol,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Symbol}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Cols{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Nothing,Bool,Any,Symbol,Array{Array{Int64,1},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{String}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64,Symbol}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int64}}}) + Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Dict{Symbol,Missing}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Float64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(names),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,Int64}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{DataFrame,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{names,Tuple{Int64,Int64}} where names,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,Array{String,1}}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) + end + end + Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}},Val{true}}) + Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Symbol}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},Function}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Regex,InvertedIndex{Regex}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,String}},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Float64},1},Array{Any,1}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) + Base.precompile(Tuple{typeof(DataFrames.printtable),Base.GenericIOBuffer{Array{UInt8,1}},DataFrame}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.mean),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Array{Bool,1},Colon}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Function,DataFrame,Val{2}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{UInt64,1},Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:b, :a),Tuple{Int64,Int64}},Int64,Colon}) + Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) + Base.precompile(Tuple{typeof(promote_type),Type{GroupedDataFrame{DataFrame}},Type{Union{Missing, Nothing}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(Statistics.mean, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,typeof(Statistics.mean),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) + end + end + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,String}}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Any,1},1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(Tables.schema),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Real,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) + Base.precompile(Tuple{typeof(isequal),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},All{Tuple{}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,Symbol},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int64,1}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{AbstractDataFrame,1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Any},1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(push!),DataFrame,Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{String,1},Array{String,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (String,String,Bool,Type{T} where T,typeof(stack),DataFrame,Array{String,1},Array{String,1},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,typeof(sum)}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Int64}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.transform, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,typeof(transform),DataFrame,Any,Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(exp)},Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},Colon,All{Tuple{}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigInt,1}}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Pair{UInt8,Symbol}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}}}) + isdefined(DataFrames, Symbol("#621#624")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#621#624")),Array{Union{Missing, Int64},1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(rename!),DataFrames.Index,Array{Pair{Symbol,Symbol},1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}}},Bool}) + Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Tuple{Array{Array{Float64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :makeunique, :copycols),Tuple{Int64,Bool,Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Colon,typeof(Statistics.cor)}}) + Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(minimum)}}) + Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(groupindices),GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Array{Union{Missing, Int64},1},Bool}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),Array{NamedTuple{(),Tuple{}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Int64,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,Symbol,Bool}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g2, :x, :g1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{BigFloat,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},typeof(nrow),Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,Array{Float64,1}}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Cols{Tuple{}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(sort),DataFrame,Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Val{true},Array{Int64,1},Bool,Bool}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},Function}) + Base.precompile(Tuple{typeof(flatten),DataFrame,InvertedIndex{Symbol}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Tuple{Missing}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Union,1},Array{Symbol,1},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Nothing}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Char,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Symbol,1},Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._combine_prepare)),NamedTuple{(:copycols, :keepkeys, :ungroup, :keeprows, :renamecols),NTuple{5,Bool}},typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},typeof(sum)}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Type{SubDataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Cols{Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Regex,InvertedIndex{Regex}}}}) + Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameColumns{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Float64,String,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}},Int64,Colon}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.var),Symbol}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat!),DataFrame}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{String}}) + Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Union{Missing, Float64},2}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{String,Int64},UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{BigInt,1},Colon}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},Colon,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(view),DataFrame,Function,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{typeof(nrow),1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrame,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Type{DataFrame},Dict{String,Any}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Union{Missing, Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rename!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(rename!),DataFrames.Index,Array{Symbol,1}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(identity)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(+)}}) + Base.precompile(Tuple{typeof(stack),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,UnitRange{Int64},Colon}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(sum)},1}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Regex}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Array{String,1},Base.RefValue{ByRow{typeof(-)}}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Int64}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,Array{Int64,1}},1}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/latex")},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Irrational{:π},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames.group_rows),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Char}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.Index,UnitRange{BigInt}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Symbol,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{typeof(stack),DataFrame,Regex}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_append!),Bool,Array{String,1},Array{Missing,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{typeof(nrow),1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F),NTuple{6,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Any}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(first)}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(prod),Symbol}}}) + Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{}}}) + Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(permutedims),DataFrame,Int64}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,)) + end + end + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(filter),Function,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Symbol}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Bool}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,Colon,All{Tuple{}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,2}}) + Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(first)}}) + Base.precompile(Tuple{typeof(DataFrames.escapedprint),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index},String}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) + Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(),Tuple{}},DataFrame}) + Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{DataFrame,1}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Markdown.MD,Int64,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:c,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{String,1},typeof(identity)},Bool}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Real},1}}) + Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{Union{Nothing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(view),DataFrame,Int64,All{Tuple{}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int64,1},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c_sum,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(flatten),DataFrame,String}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Regex}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}}}) + Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Missing,String,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(identity)}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{T,1} where T,1},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Array{typeof(nrow),1},Bool}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},InvertedIndex{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},UnitRange{Int64},Function}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow),typeof(nrow)}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) + Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :id1_1, :x_right),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, BigInt},1},Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Float64},1},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),Array{Union{Missing, String},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_right),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Int64,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),UnitRange{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Real,1}}}) + Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(!=),Array{String,1},Vararg{Array{String,1},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) + end + end + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Array{Int64,1},Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(setproperty!),DataFrame,Symbol,PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Colon,typeof(Statistics.cor)}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Int64,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(nonunique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Array{Float64,2},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function,Array{Int64,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigInt,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int64},1},DataFrames.RepeatedVector{String},Int64}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Array{Int64,1},1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames._stackview, (DataFrame,Array{Int64,1},Array{Int64,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Type{T} where T,typeof(DataFrames._stackview),DataFrame,Array{Int64,1},Array{Int64,1},)) + end + end + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :c),Tuple{Int64,Int64}},InvertedIndex{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :a),Tuple{Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) + Base.precompile(Tuple{typeof(describe),DataFrame}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Float64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) + Base.precompile(Tuple{typeof(map),Function,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Array{Int64,1},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Int64}) + Base.precompile(Tuple{typeof(hcat),DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},)) + end + end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Symbol,Pair{Symbol,typeof(first)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.std),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_last, :x2_last, :x3_last, :x4_last),Tuple{Array{Int64,1},Int64,Int64,Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{UnitRange{Bool}}}) + Base.precompile(Tuple{Type{DataFrameRow},DataFrame,Int64,Function}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Base.OneTo{Int64}},true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Type{Array{T,1} where T}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(length),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Function,Bool,Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{String,ByRow{typeof(-)}},1}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(sum)}}) + Base.precompile(Tuple{typeof(allowmissing!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Float64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(transform!),DataFrame,Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) + Base.precompile(Tuple{typeof(view),DataFrame,Int64,Between{Int64,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Tuple{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int64,Int64,Int64,Int64,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.Index},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{NamedTuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{typeof(identity),DataType}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,Pair{typeof(identity),DataType}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int64,1}},Pair{Symbol,Array{Float64,1}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Type{Integer}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(nonunique),DataFrame,Function}) + let fbody = try __lookup_kwbody__(which(isapprox, (DataFrame,DataFrame,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Int64,Float64,Bool,Function,typeof(isapprox),DataFrame,DataFrame,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},UnitRange{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Tuple{Array{Array{Int64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C, :B, :A),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(filter),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Int64, Int8},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Number,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first),Tuple{Int64,Int64,Missing,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{UnitRange{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(describe),DataFrame,Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p, :q, :r),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:c_sum,),Tuple{Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{BigInt,1},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,String}}}) + Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,String},Pair{Symbol,UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,String}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:B, :A),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}},Val{true}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Bool,1}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{Array{Union{Missing, Bool},1},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :z),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :d),Tuple{Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Real},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) + Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Dict{Symbol,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},)) + end + end + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Any,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{10,DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Array{Bool,1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Colon}) + Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int64}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int64,1}},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Number,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64,Symbol}}}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),NTuple{4,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,UnitRange{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Int64,1},typeof(+)}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{Int64}}},typeof(describe),DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{typeof(nrow),1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) + let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) + Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, Integer},1},Colon}) + Base.precompile(Tuple{typeof(categorical),DataFrame,String}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, UInt64},1},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{String,String}}) + Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2, :y),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Float64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1, :x2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,String,Bool}},typeof(outerjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y_function, :x_sum),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Bool,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :a),Tuple{Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Markdown.MD,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,Function,Between{Int64,Int64}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) + Base.precompile(Tuple{typeof(convert),Type{Tuple},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},Colon,Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,UnitRange{Int64}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2, :v3),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigInt,Union{Function, Type},Tuple{Array{BigInt,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),Array{DataFrameRow{DataFrame,DataFrames.Index},1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Int64,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,typeof(identity)}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol,Int64}}}) + isdefined(DataFrames, Symbol("#128#132")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#128#132")),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) + Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/html")},DataFrame}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Any,1},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(first)}}) + Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},typeof(repr)}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{DataType,1},typeof(!),Symbol}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,2}}) + Base.precompile(Tuple{typeof(mapcols),typeof(categorical),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(semijoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{String,1},1},Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(minmax)},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},N} where N}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Int64,1},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{Symbol,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :a, :b, :c, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :nrow, :z2),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,String}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Colon,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Bool,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Array{Symbol,1}},Function}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x12345678901234567890,),Tuple{String}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + end + end + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Any,Any}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Function}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.vect),DataFrames.UserColOrdering{Symbol},Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int64}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) + Base.precompile(Tuple{Type{DataFrame},BitArray{2},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{String,1},Array{Symbol,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},ByRow{typeof(+)}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Regex,typeof(Statistics.cor)},Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) + Base.precompile(Tuple{typeof(vcat),DataFrame,DataFrame,DataFrame,Vararg{DataFrame,N} where N}) + end + return nothing +end \ No newline at end of file diff --git a/src/other/utils.jl b/src/other/utils.jl index 7bc8e847af..e13627748c 100644 --- a/src/other/utils.jl +++ b/src/other/utils.jl @@ -83,16 +83,3 @@ else end funname(c::ComposedFunction) = Symbol(funname(c.outer), :_, funname(c.inner)) - -# precompile.jl contains precompilation directives for all methods whose compilation -# is triggered by running DataFrames tests and takes more than 0.01s. -# It is generated using the SnoopCompile package via: -# using SnoopCompileCore -# inf_timing = @snoopi tmin=0.01 include("test/runtests.jl") -# using SnoopCompile -# pc = SnoopCompile.parcel(inf_timing) -# SnoopCompile.write("src/other/precompile.jl", pc[:DataFrames], always=true) -function precompile() - include(joinpath(dirname(pathof(DataFrames)), "other", "precompile.jl")) - return nothing -end From 0542b15ae2dd76881f6136a0840bc98b62a6dd11 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 17:43:33 +0100 Subject: [PATCH 04/17] Avoid using CategoricalValue{Symbol} --- src/other/precompile.jl | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index f9f260db18..53beb36ce5 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -2517,7 +2517,7 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) @@ -2580,7 +2580,7 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Symbol},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{Symbol,UInt32},Missing}},Bool}) + Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Bool}) Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.OneTo{Int64}}}}) From c9ca0035a7d45f79e83ba191f07e18ebe9a97064 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 17:51:35 +0100 Subject: [PATCH 05/17] Do not use var"" as it fails on Julia 1.0 --- src/other/precompile.jl | 79 ----------------------------------------- 1 file changed, 79 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index 53beb36ce5..ad922442cd 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -213,7 +213,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Missing}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) @@ -292,11 +291,8 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},typeof(DataFrame!)}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(Statistics.mean),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(hash),DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) @@ -424,7 +420,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,String}}}) @@ -457,7 +452,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol},Pair{Symbol,ByRow{typeof(sin)}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) @@ -475,7 +469,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Real,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) @@ -487,7 +480,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) @@ -509,7 +501,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{typeof(nrow),1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_function, :x1, :x2, :p, :q, :s, :t, :k, :l, :z),Tuple{Array{Array{Int64,1},1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(minimum),Symbol}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Integer},1},Colon}) @@ -520,7 +511,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1_function),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) @@ -563,7 +553,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) @@ -581,7 +570,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) @@ -693,7 +681,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{Pair{Any,Int64},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) Base.precompile(Tuple{typeof(transform),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) @@ -709,7 +696,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Symbol}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1, :a_2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) @@ -725,7 +711,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Missing}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(unique),DataFrame}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) @@ -745,7 +730,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Float64,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Number,1}}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Colon,Int64}) @@ -768,7 +752,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int64,Int64}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int64},Array{Int64,0},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int64},Char,UnitRange{Int64},Char,UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) @@ -817,7 +800,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,UnitRange{Int64}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) @@ -896,8 +878,6 @@ function precompile(all=false) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,UnionAll}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) @@ -941,7 +921,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(unique),DataFrame,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) @@ -1009,7 +988,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Cols{Tuple{String}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(filter),Pair{Array{Symbol,1},typeof(==)},DataFrame}) Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) @@ -1017,13 +995,11 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:xmax,),Tuple{Float64}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int64}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) @@ -1050,7 +1026,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) @@ -1108,7 +1083,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(transform),Function,DataFrame}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{CategoricalArrays.CategoricalValue{Int64,UInt32}}}}}) Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Number,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) @@ -1147,13 +1121,11 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) @@ -1174,7 +1146,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),UndefInitializer,Int64,Int64}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(merge),NamedTuple{(),Tuple{}},DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64}}}) @@ -1184,14 +1155,12 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Symbol}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{String}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int64,Int64}}},Type{DataFrame}}) @@ -1202,7 +1171,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sin),Tuple{Int64}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int64,Tuple{Base.OneTo{Int64},Int64}}) Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) @@ -1364,7 +1332,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) @@ -1449,15 +1416,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,NTuple{4,Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Colon}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) @@ -1467,7 +1431,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) @@ -1478,7 +1441,6 @@ function precompile(all=false) end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Between{Int64,Int64}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) @@ -1573,10 +1535,8 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Bool,1},Colon}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) @@ -1682,7 +1642,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, String},1}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.OneTo{Int64}}}}) Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int64}}) @@ -1824,7 +1783,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Any,1}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) @@ -1895,7 +1853,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Array{Bool,1},Int64}) Base.precompile(Tuple{typeof(categorical),DataFrame,Int64}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Column,),Tuple{Array{Symbol,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) @@ -1920,7 +1877,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) @@ -1936,10 +1892,8 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Symbol}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1},Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) @@ -1952,12 +1906,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, Int64},1}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),UnitRange{Int64},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},typeof(+)}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) @@ -2185,7 +2137,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(minmax)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Int64}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int64,Int64}},InvertedIndex{Int64}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{BigInt,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Int64,1}}) @@ -2304,7 +2255,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{T,1} where T}}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,UnitRange{Int64}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) @@ -2333,8 +2283,6 @@ function precompile(all=false) Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,Symbol,)) end end - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) @@ -2372,15 +2320,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Dict{Symbol,Union{Missing, Int64}},Int64,Base.OneTo{Int64},Int64,Int64}) Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int64}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{}}) Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int64}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) @@ -2388,7 +2333,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Array{String,1}}) @@ -2482,15 +2426,12 @@ function precompile(all=false) Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Int64,1}}}) Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int64,Int64}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(transform),DataFrame,Any}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Bool,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},DataFrame}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Array{Int64,1},1}}},Type{DataFrame}}) @@ -2680,11 +2621,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},typeof(identity)}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int64}}) - Base.precompile(Tuple{ByRow{Base.var"#62#63"{typeof(sum),typeof(skipmissing)}},NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) Base.precompile(Tuple{typeof(unstack),DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Bool,1}}}) @@ -2692,7 +2631,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Base.OneTo{Int64},Int64}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) @@ -2708,13 +2646,11 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int64}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrame,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Any,1}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int64}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) @@ -2736,8 +2672,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{String}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) @@ -2807,7 +2741,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Array{Bool,1},Colon}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) @@ -2840,7 +2773,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) @@ -2886,7 +2818,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) @@ -2965,7 +2896,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},Function}) Base.precompile(Tuple{typeof(flatten),DataFrame,InvertedIndex{Symbol}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Tuple{Missing}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}}}) @@ -3029,7 +2959,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{typeof(nrow),1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Val{false},Array{Int64,1}}) @@ -3052,7 +2981,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64,String}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Union{Missing, Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rename!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(rename!),DataFrames.Index,Array{Symbol,1}}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end @@ -3225,7 +3153,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},UnitRange{Int64},Function}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) @@ -3346,7 +3273,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Type{Array{T,1} where T}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(length),Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Function,Function,Bool,Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) @@ -3435,7 +3361,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,String}}}) Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Nothing}) @@ -3500,7 +3425,6 @@ function precompile(all=false) Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int64}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Base.var"#64#65"{typeof(ismissing)}},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) @@ -3512,7 +3436,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Number,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) @@ -3566,7 +3489,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Base.var"#64#65"{typeof(ismissing)},Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Bool,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) @@ -3696,7 +3618,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Base.var"#64#65"{typeof(ismissing)},typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) From cc332072677079f38d11016642a71783755e9042 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 18:24:55 +0100 Subject: [PATCH 06/17] Remove materialize! to work around bugs --- src/other/precompile.jl | 92 ----------------------------------------- 1 file changed, 92 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index ad922442cd..1cec8b12dc 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -17,7 +17,6 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) @@ -119,7 +118,6 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}}}) Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) @@ -163,7 +161,6 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) @@ -185,7 +182,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int64}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int64,Int64}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) @@ -207,7 +203,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :D, :E, :F),NTuple{5,Int64}},Type{DataFrame}}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Symbol,1}}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Symbol,Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) @@ -217,7 +212,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) @@ -273,7 +267,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt8,Bool,CategoricalArrays.CategoricalValue{Bool,UInt8},Union{}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) @@ -315,7 +308,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigInt,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) @@ -335,17 +327,14 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt64},1},Colon}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{_A,typeof(sum)} where _A,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int64,String}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) @@ -416,11 +405,9 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,String}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Int64}) @@ -449,7 +436,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{String,1}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol},Pair{Symbol,ByRow{typeof(sin)}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) @@ -469,18 +455,15 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Int64,Int64}}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) @@ -493,7 +476,6 @@ function precompile(all=false) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Symbol,Array{Symbol,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Int64}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) @@ -575,7 +557,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Union{Missing, Int64},1},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int64}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Real,1}}}) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int64},DataFrames.RepeatedVector{Int64}}) @@ -700,7 +681,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1, :a_2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},Colon,All{Tuple{}}}) @@ -726,7 +706,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int64,1}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,2}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Float64,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) @@ -773,7 +752,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int64,Int64,Int64,Int64}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) @@ -805,7 +783,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.Index},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(*),Tuple{Int64,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},DataFrame}) @@ -832,7 +809,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(flatten),DataFrame,Between{Symbol,Symbol}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{InvertedIndex{Regex},Regex}}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Tuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) @@ -872,9 +848,7 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int64,1},Int64,Int64,Missing,Missing}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator),Tuple{Symbol,Symbol}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(-),Tuple{Float64,Float64}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,UnionAll}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) @@ -909,7 +883,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Union{Missing, Int64},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int64}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int64,1}}) @@ -935,7 +908,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sum),Tuple{DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sqrt),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Any,1},))) catch missing end @@ -957,7 +929,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Float64}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{DataFrameRow{DataFrame,DataFrames.Index},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Int64,1},Function}) @@ -994,7 +965,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Float64,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) @@ -1022,7 +992,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) Base.precompile(Tuple{ByRow{typeof(/)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) @@ -1056,7 +1025,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Function,UnitRange{Int64}}) isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Float64,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Int64}}) Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) @@ -1081,7 +1049,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Int64,1}}}) Base.precompile(Tuple{typeof(transform),Function,DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{CategoricalArrays.CategoricalValue{Int64,UInt32}}}}}) Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{typeof(identity),Symbol}}}) @@ -1119,7 +1086,6 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) @@ -1153,7 +1119,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Symbol}}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) @@ -1168,10 +1133,8 @@ function precompile(all=false) Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,Any}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int64,Int64}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(sin),Tuple{Int64}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int64,Tuple{Base.OneTo{Int64},Int64}}) Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{String,1}}},Type{DataFrame}}) @@ -1331,7 +1294,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) @@ -1354,7 +1316,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,3},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.RefValue{AsTable},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) @@ -1430,7 +1391,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) @@ -1462,7 +1422,6 @@ function precompile(all=false) Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Int64,1},)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(identity),Tuple{Tuple{Int64,Int64}}}}) Base.precompile(Tuple{typeof(unique),DataFrame,Regex}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,String}}}) @@ -1502,7 +1461,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true},Int64}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) @@ -1601,7 +1559,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Missing,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}}) Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Symbol}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) @@ -1753,7 +1710,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Any,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Float64,Int64}}}) Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},))) catch missing end if !ismissing(fbody) @@ -1794,7 +1750,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e, :x, :y),Tuple{Array{String,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) @@ -1810,7 +1765,6 @@ function precompile(all=false) end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int64},1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) @@ -1831,7 +1785,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Cols{Tuple{Colon}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Array{Symbol,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1},)) @@ -1877,7 +1830,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) @@ -1901,7 +1853,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),DataFrame,Function,All{Tuple{}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,3,StepRange{Char,Int64},Tuple{}}}}}) Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) @@ -1912,7 +1863,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},typeof(+)}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{StepRange{Char,Int64}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.std),Symbol}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Dict},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) @@ -1925,7 +1875,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(categorical!),DataFrame,Int64}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) Base.precompile(Tuple{typeof(in),NamedTuple{(:a, :b),Tuple{Symbol,Int64}},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{BitArray{1},BitArray{1}}},Type{DataFrame}}) @@ -1951,7 +1900,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(identity)}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) @@ -1963,7 +1911,6 @@ function precompile(all=false) end end Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{Int64,1}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int64}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) @@ -2057,7 +2004,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Between{Int64,Int64}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) @@ -2066,14 +2012,12 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Cols{Tuple{Colon}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(length),Tuple{Base.RefValue{String}}},Int64}}}) Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int64}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int64,Int64}},StepRange{Int64,Int64},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) Base.precompile(Tuple{Type{DataFrame},Array{Int64,2},Array{Symbol,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) @@ -2093,7 +2037,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),String,Int64,Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) @@ -2147,10 +2090,8 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sin),Tuple{UnitRange{Int64}}}}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Cols{Tuple{Colon}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Missing,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{3},Nothing,typeof(identity),Tuple{Array{String,3}}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Array{Union{Missing, Int64},1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) @@ -2175,7 +2116,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int64,Int64,Int64}},DataFrame}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Any,1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Char,2}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Number,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) @@ -2212,14 +2152,12 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e, :f, :g, :h),Tuple{Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Union{Missing, Float64},1},Array{String,1},Array{Symbol,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Symbol,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1},)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(length),Tuple{Array{Int64,1}}},Int64}}}) Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,Any}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}) @@ -2310,8 +2248,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,Int64}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Real,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{String,2}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Int64,1},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) @@ -2400,7 +2336,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},InvertedIndex{UnitRange{Int64}},InvertedIndex{UnitRange{Int64}}}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},All{Tuple{}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}}}) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) let fbody = try __lookup_kwbody__(which(DataFrames.select!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end @@ -2432,7 +2367,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},DataFrame}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(/),Tuple{Int64,Int64}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Array{Int64,1},1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) @@ -2460,7 +2394,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{NamedTuple{(:a, :b),Tuple{Int64,Int64}}}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int64,Int64},2},Symbol}) @@ -2511,7 +2444,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{BigInt,Symbol}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.ColReplaceDataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Float64,2}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) @@ -2525,7 +2457,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.OneTo{Int64}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int64}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) @@ -2537,7 +2468,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Int64}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) @@ -2552,7 +2482,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}}) Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int64},1},1},Symbol}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,))) catch missing end if !ismissing(fbody) @@ -2568,7 +2497,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}},Int64}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Bool,Symbol}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Symbol,Function},Bool}) @@ -2613,7 +2541,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Symbol,1}}) Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Int64},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{Array{Float64,1},Array{Int64,1}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) @@ -2709,7 +2636,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{Nothing}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}},Val{true}}) Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) @@ -2719,7 +2645,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Regex,InvertedIndex{Regex}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) @@ -2728,7 +2653,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Between{Int64,Int64}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,String}},1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) @@ -2751,7 +2675,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Float64,2}}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{UInt64,1},Colon}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) @@ -2816,7 +2739,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) @@ -2844,7 +2766,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigInt,1}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{UInt8,Symbol}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}}}) isdefined(DataFrames, Symbol("#621#624")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#621#624")),Array{Union{Missing, Int64},1}}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},InvertedIndex{Int64}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Any,1}}}) @@ -2858,7 +2779,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Tuple{Array{Array{Float64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64}}}) Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :makeunique, :copycols),Tuple{Int64,Bool,Bool}},Type{DataFrame}}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,UnitRange{Int64}}}) @@ -2922,7 +2842,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Float64,String,Missing}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}},Int64,Colon}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.var),Symbol}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat!),DataFrame}) @@ -2946,7 +2865,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) @@ -2975,7 +2893,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int64},All{Tuple{}}}) Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64,String}}}) @@ -3062,7 +2979,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{}}}) Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(permutedims),DataFrame,Int64}) @@ -3130,7 +3046,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}}}) Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Missing,String,Missing}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) @@ -3252,12 +3167,10 @@ function precompile(all=false) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Symbol,Pair{Symbol,typeof(first)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int64,String}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Int64}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) @@ -3329,7 +3242,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Array{Int64,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(+),Tuple{Array{Float64,2},Array{Int64,2}}}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Int64, Int8},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) @@ -3375,7 +3287,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Symbol}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Base.RefValue{String}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,String}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) @@ -3426,7 +3337,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{String,1}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int64,1}},Vararg{Any,N} where N}) @@ -3437,7 +3347,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Array{Int64,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Nothing,typeof(identity),Tuple{Array{Int64,2}}}}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) @@ -3617,7 +3526,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Regex,typeof(Statistics.cor)},Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize!),DataFrames.LazyNewColDataFrame{Symbol},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{0},Nothing,typeof(identity),Tuple{Array{Char,0}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) From b6b796e6c054cdb1749c7043d2f29464b95b9cb7 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 18:30:24 +0100 Subject: [PATCH 07/17] Remove another problematic method --- src/other/precompile.jl | 1 - 1 file changed, 1 deletion(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index 1cec8b12dc..eecf91f210 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -19,7 +19,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) From d6b5697686c702875e584e70c0b633573f6a9156 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 18:41:19 +0100 Subject: [PATCH 08/17] ...and more --- src/other/precompile.jl | 4 ---- 1 file changed, 4 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index eecf91f210..e05d3e2e3f 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -22,7 +22,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) - Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) @@ -67,7 +66,6 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) @@ -97,10 +95,8 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end From aff815cfd93cd7510eadae516f403a27b2a55d2a Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 18:44:58 +0100 Subject: [PATCH 09/17] Use Int instead of Int64 --- src/other/precompile.jl | 4265 ++++++++++++++++++++------------------- 1 file changed, 2135 insertions(+), 2130 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index e05d3e2e3f..a276e19d94 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -11,23 +11,25 @@ function precompile(all=false) if !all ccall(:jl_generating_output, Cint, ()) == 1 || return nothing - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Type{Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) @@ -49,36 +51,37 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Symbol,1}}) Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) - let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int,1}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Tuple{Symbol,Symbol},typeof(identity)}}) @@ -95,18 +98,20 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) - Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{String,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Colon}) + Base.precompile(Tuple{typeof(repeat),DataFrame,Int}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) - Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1}},Tuple{Array{Union{Missing, Int},1}}}) + Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int}},DataFrames.StackedVector{Union{Missing, Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) Base.precompile(Tuple{typeof(groupby),DataFrame,Symbol}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -116,7 +121,7 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int}}}}}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -124,33 +129,33 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(describe),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int,1}}}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) - let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},))) catch missing end + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int,1},InvertedIndex{Array{Int,1}},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},)) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int,1},InvertedIndex{Array{Int,1}},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Rational{Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) Base.precompile(Tuple{typeof(permutedims),DataFrame,Symbol}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) - Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt},Colon}) Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) @@ -160,452 +165,452 @@ function precompile(all=false) Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) else Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int64}}}) - Base.precompile(Tuple{Type{DataFrame},Array{Array{Int64,1},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Int,1},1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(hcat),DataFrame}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int,1},Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Int,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int,Int}},InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :ID2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(isequal),Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1},Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Int64},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Int,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :ID2, :x),Tuple{Array{Int,1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(isequal),Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}},1},Array{Pair{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{String,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Int},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Array{Int,1},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{typeof(nrow),Symbol},1}}) Base.precompile(Tuple{Type{DataFrame},Base.ReshapedArray{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Tuple{}},Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{UnitRange{Int64},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{UnitRange{Int},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :D, :E, :F),NTuple{5,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :D, :E, :F),NTuple{5,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Symbol,1}}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{Array{Int,1},Array{Int,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Symbol,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Missing}}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int64}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{StepRange{Char,Int64},StepRange{Char,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int,1},Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Int}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Char,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b, :a_b_etc),Tuple{UnitRange{Int},StepRange{Int,Int},StepRange{Int,Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{StepRange{Char,Int},StepRange{Char,Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(),Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64,Int64},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) - Base.precompile(Tuple{typeof(Tables.namedtupleiterator),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int,Int},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(Tables.namedtupleiterator),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Symbol,1},typeof(identity)},Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(+)}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(Base.literal_pow),Tuple{Base.RefValue{typeof(^)},DataFrame,Base.RefValue{Val{2}}}}}) - isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int},Union{Function, Type},Tuple{Array{UnitRange{Int},1}}}) Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{T,1,UInt32,V,C,Union{}} where C where V where T,1},Symbol}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(-)}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Array{String,1}}) Base.precompile(Tuple{typeof(filter!),Pair{Array{Symbol,1},typeof(==)},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Type{AsTable}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Float64,2}}}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Float64,2}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass),Tuple{Array{String,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Colon}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:d1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}},Array{Int,2}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:d1,),Tuple{Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},String}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D),NTuple{4,Int64}},Type{DataFrame}}) - let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D),NTuple{4,Int}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Int,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Int64,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Int,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Array{Bool,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Nothing,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},StepRange{Char,Int64},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Nothing,Int}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},StepRange{Char,Int},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:b, :a),Tuple{Int64,Symbol}}}) - isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},typeof(+)}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Type{Ref},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt8,Bool,CategoricalArrays.CategoricalValue{Bool,UInt8},Union{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:b, :a),Tuple{Int,Symbol}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int},typeof(+)}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Symbol,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{String,1}},Tuple{Array{Int,1},Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}},Type{Ref},GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt8,Bool,CategoricalArrays.CategoricalValue{Bool,UInt8},Union{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :x_first),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.compute_indices),Array{Int64,1},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int},All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :x_first),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.compute_indices),Array{Int,1},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function, :x1_length),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol,Int}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int,1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}) Base.precompile(Tuple{Type{DataFrame},Array{UnitRange,1},Symbol}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},typeof(DataFrame!)}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int,1},Array{Int,1},Bool}},typeof(DataFrame!)}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(hash),DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, Tuple{Symbol,Int64}},1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int}}, Tuple{Symbol,Int}},1}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Number},1}}) Base.precompile(Tuple{typeof(unique),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right,),Tuple{Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Base.RefValue{Float64},Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right,),Tuple{Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,Base.RefValue{Float64},Union{Function, Type},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),All{Tuple{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Symbol,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Symbol,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int,String}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1},Symbol}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1}},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g, :y),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigInt,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) - Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{Int}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) + Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) Base.precompile(Tuple{Type{DataFrame},Array{Union{Missing, Float64},2}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Number},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Between{Int64,Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Union{Missing, Number},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Float64,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int},Between{Int,Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int},UnitRange{Int},Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{Union{Missing, String},1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt64},1},Colon}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{_A,typeof(sum)} where _A,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int64,String}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Float64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:first, :second),Tuple{Int64,String}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Symbol,typeof(first)}}) - Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},All{Tuple{}}}) - let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},))) catch missing end - if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Array{Any,1},)) - end - end - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}},DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int64}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt},1},Colon}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Pair{_A,typeof(sum)} where _A,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Float64,1},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:first, :second),Tuple{Int,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Tuple{Array{Complex{Float64},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Pair{Symbol,typeof(first)}}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},All{Tuple{}}}) + let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Array{Any,1},))) catch missing end + if !ismissing(fbody) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Array{Any,1},)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int,Int},Int}},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int,UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(select),DataFrame,Any,Any,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,ByRow{typeof(first)}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first, :x1),Tuple{Int64,Int64,Missing,Missing,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first, :x1),Tuple{Int,Int,Missing,Missing,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) Base.precompile(Tuple{typeof(rename),Function,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Bool}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Symbol}}) - let fbody = try __lookup_kwbody__(which(DataFrames.transform, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end + let fbody = try __lookup_kwbody__(which(DataFrames.transform, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) + Base.precompile(fbody, (Bool,Bool,typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Any,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E),NTuple{5,UnitRange{Int}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Val{true},Nothing}) let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(copyto!),Array{String,1},DataFrames.RepeatedVector{String}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{String,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_callable),Union{Function, Type},Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:z,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) - Base.precompile(Tuple{ByRow{typeof(first)},NamedTuple{(:a,),Tuple{Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{true},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right, :_rightX),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int,Pair{String,Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_callable),Union{Function, Type},Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Array{Int,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:z,),Tuple{Int}},Tuple{Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Val{false},Nothing}) + Base.precompile(Tuple{ByRow{typeof(first)},NamedTuple{(:a,),Tuple{Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int,0,Array{Int,1},Tuple{Int},true},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right, :_rightX),Tuple{Int,String}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Number,1}}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int64}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int},1},Array{Number,1}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Tuple{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,String}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{9,DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Symbol,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(append!),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Bool,1}},Int,Tuple{Symbol}}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(repeat),DataFrame,Int64}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(repeat),DataFrame,Int}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}},Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,1},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int,1},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol},Pair{Symbol,ByRow{typeof(sin)}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int64}} where S<:DataFrames.AbstractIndex,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{SubDataFrame{DataFrame,S,UnitRange{Int}} where S<:DataFrames.AbstractIndex,1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(categorical),DataFrame,Regex}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Array{Int,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int,1}},Tuple{Array{Any,1},Array{Int,1}}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{NamedTuple{(),Tuple{}},1}}}) - Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt32,Bool,CategoricalArrays.CategoricalValue{Bool,UInt32},Union{}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt32,Bool,CategoricalArrays.CategoricalValue{Bool,UInt32},Union{}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, Function},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},StepRange{Char,Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Float64}},DataFrames.StackedVector{Union{Missing, Float64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{UnitRange{Int}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int}},1}}},Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int}},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Tuple{Array{Tuple{Int64,Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int,Int}}},Tuple{Array{Tuple{Int,Int},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},1}},Int,Int,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Float64,2}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}},Array{Float64,2}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Regex}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Symbol,Array{Symbol,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},0,Array{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},1},Tuple{Int},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{typeof(nrow),1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_function, :x1, :x2, :p, :q, :s, :t, :k, :l, :z),Tuple{Array{Array{Int64,1},1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{typeof(nrow),1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_function, :x1, :x2, :p, :q, :s, :t, :k, :l, :z),Tuple{Array{Array{Int,1},1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{NamedTuple{(:s, :t),Tuple{Int,Int}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(minimum),Symbol}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Integer},1},Colon}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Union{Missing, Integer},1},Colon}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Any,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Function,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},String}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1_function),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},String}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1_function),Tuple{Array{Int,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,UnionAll}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x3, :x1, :x2),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,typeof(sum)}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x3, :x1, :x2),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Int,typeof(sum)}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) Base.precompile(Tuple{ByRow{typeof(minmax)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :renamecols),Tuple{Array{Any,1},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{DataFrame,1}}}) - Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{DataFrame,1}}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b),Tuple{UnitRange{Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int,1},Array{Int,1},Array{Float64,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_b),Tuple{UnitRange{Int},StepRange{Int,Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int,1},Int}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, String},1},1},Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Regex}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) - Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Cols{Tuple{Colon}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}},Int}) + Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(completecases),DataFrame,Array{Bool,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},0,Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1},Tuple{Int64},true},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},0,Array{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},1},Tuple{Int},true},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Any}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},DataFrame}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{String}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Symbol,1}}}) isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Char,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Union{Missing, Int},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{T,1} where T},1},Symbol}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Union{Missing, Int64},1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Array{Union{Missing, Int},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(unique),DataFrame,UnitRange{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Real,1}}}) - Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int64},DataFrames.RepeatedVector{Int64}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Real,1}}}) + Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int},DataFrames.RepeatedVector{Int}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Mass),Tuple{Array{Union{Missing, String},1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int,1}},Tuple{Array{Any,1},Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Bool,Int}},typeof(show),Base.PipeEndpoint,DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},Int64}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},Int}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},UnitRange{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Tuple{Array{Dict{Symbol,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int},UnitRange{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int},1}}},Tuple{Array{Dict{Symbol,Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,String,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Symbol,Pair{Symbol,typeof(first)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),NTuple{4,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64,Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),NTuple{4,Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int,Int},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,String,Pair{String,String},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,UnitRange{Int64},Colon,Int64}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,UnitRange{Int},Colon,Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int,1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{String,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{String,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Between{Symbol,Symbol}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Any}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_identity,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) - let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Union{Missing, Float64},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_identity,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Int,Union{Function, Type},Tuple{Array{Int,1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,3}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Char,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int,1},Array{Char,1}}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Any,2}}}) let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Array{Any,1},))) catch missing end if !ismissing(fbody) @@ -613,145 +618,145 @@ function precompile(all=false) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) - isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int64},ByRow{typeof(+)}}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int64}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int},ByRow{typeof(+)}}}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Real},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int64},1},Array{Int64,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int},1},Array{Int,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int,Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Float64},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Float64,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{String,typeof(identity)}}) - Base.precompile(Tuple{Type{DataFrame},Pair{String,Int64},Vararg{Pair{String,Int64},N} where N}) - Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Bool},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Tuple{Array{Int64,1},Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Type{DataFrame},Pair{String,Int},Vararg{Pair{String,Int},N} where N}) + Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,DataFrame}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, Bool},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int,Missing}},Tuple{Array{Int,1},Array{Missing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int}},Tuple{Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int, Int8},1}},Tuple{Symbol},Val{false}}) let fbody = try __lookup_kwbody__(which(DataFrames.select!, (DataFrame,Any,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,typeof(select!),DataFrame,Any,)) end end - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.RepeatedVector{Int64}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int64,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{Any,Int64},UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.RepeatedVector{Int}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,2},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int,1},Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Dict{Any,Int},UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true},SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Symbol},1}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},Array{Pair{Any,Int64},1}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Any,Int},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) - Base.precompile(Tuple{typeof(transform),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Int, Int8},1}}}) + Base.precompile(Tuple{typeof(transform),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{Real,2},Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Bool}) - Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},1},Array{Symbol,1}}) - isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,Bool}) + Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},1},Array{Symbol,1}}) + isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int,1}}},Val{false},Nothing}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Bool,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Symbol}}) - Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{StepRange{Char,Int},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :newcol, :newcol_1),NTuple{5,UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int,Symbol}}) + Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1, :a_2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1, :a_2),Tuple{UnitRange{Int},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},Colon,All{Tuple{}}}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_function,),Tuple{Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Union{Missing, Int},1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,2},Colon,All{Tuple{}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Pair{typeof(length),Symbol}},Pair{Int,Pair{typeof(length),Symbol}},Vararg{Pair{Int,Pair{typeof(length),Symbol}},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_b_c_function,),Tuple{Array{Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Any,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(antijoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(unique),DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Int64,1}},1}}) - Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Array{Any,1}}},Type{DataFrame}}) - isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int,2},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var_skipmissing),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Int,1}},1}}) + Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int},1},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int,Array{Any,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any},1}}) - Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{ByRow{typeof(identity)},NamedTuple{(:x, :y),Tuple{UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(semijoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int64,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,2}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Float64,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(hcat),DataFrame,Array{Int,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int,2}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Int, Int8},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Float64,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, String}},DataFrames.RepeatedVector{Union{Missing, String}}}) - Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Number,1}}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Colon,Int64}) + Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Number,1}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int,1},Colon,Int}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int,Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrame,Function,UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrame,Function,UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Colon}) - Base.precompile(Tuple{typeof(<),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(<),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(identity),Symbol}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{UnionAll}}) - Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Union{Missing, Int64},Any}},1}}) - Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Int64}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:g,),Tuple{Array{Int64,1}}}}) - Base.precompile(Tuple{Type{DataFrame},Dict{String,Int64}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Symbol}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) - Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int64,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int64},Array{Int64,0},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int64},Char,UnitRange{Int64},Char,UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Union{Missing, Int},Any}},1}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Int}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}},Union{Function, Type},NamedTuple{(:g,),Tuple{Array{Int,1}}}}) + Base.precompile(Tuple{Type{DataFrame},Dict{String,Int}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Int}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{Int,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Base.RefValue{Int},Array{Int,0},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :A_1, :B_1, :A_2, :B_2),Tuple{Array{Char,1},UnitRange{Int},Char,UnitRange{Int},Char,UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int},1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:first, :second),Tuple{Array{String,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(/)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{UnitRange{Int64},Array{Bool,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum, :c_sum),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Int64},1}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Cols{Tuple{Colon}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(/)},Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{UnitRange{Int},Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum, :c_sum),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Int},1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int,1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x3, :x2, :x4),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x3, :x2, :x4),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int,1},Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{String}},Type{DataFrame}}) Base.precompile(Tuple{typeof(rename!),DataFrame,Dict{Symbol,Symbol}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int64,Int64,Int64,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :min, :min2, :max2, :max),Tuple{Symbol,Int,Int,Int,Int}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,2},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,))) catch missing end if !ismissing(fbody) @@ -760,174 +765,174 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Regex}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Rational{Int64}},1}}},Type{DataFrame}}) - let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},))) catch missing end + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},DataFrame}}}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Regex}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, Rational{Int}},1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Int,1},InvertedIndex{Array{Int,1}},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int64,1},InvertedIndex{Array{Int64,1}},)) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Int,1},InvertedIndex{Array{Int,1}},)) end end - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,String},1}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int,String},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int64,Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) - Base.precompile(Tuple{typeof(dropmissing),DataFrame,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int,Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,UnitRange{Int}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int,1},Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int,1}}}}) + Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrameRow{DataFrame,DataFrames.Index},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}},Val{true}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,DataFrame}}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},Array{Int,1}},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(sum)}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :v1),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2, :x3),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2, :x3),NTuple{4,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Char,1},Array{Char,1},Array{Char,1}},Tuple{Array{Char,1},Array{Char,1},Array{Char,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Tuple{Int,Int,Int},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int,Bool,Any,Symbol,Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{DataFrame,Base.RefValue{Nothing}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x, :y),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :x, :y),NTuple{4,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Between{Symbol,Symbol}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{InvertedIndex{Regex},Regex}}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:k, :l),Tuple{SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true},Array{Int,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{Symbol,1},Base.RefValue{Bool},Any,Int,Bool,Type{AsTable}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Tuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :SID),Tuple{UnitRange{Int64},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Float64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1, :x2),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{BigFloat,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int64,1}},Tuple{Array{Any,1},Array{Int64,1}}}) - Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :SID),Tuple{UnitRange{Int},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Float64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1, :x2),Tuple{Array{Int,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{BigFloat,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int,1}},Tuple{Array{Any,1},Array{Int,1}}}) + Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},N} where N}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Tuple{Array{Tuple{Float64,Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},NTuple{4,Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Tuple{Array{Tuple{Float64,Float64},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},NTuple{4,Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{InvertedIndices.TupleVector{Tuple{Int64,Int64}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{InvertedIndices.TupleVector{Tuple{Int,Int}}}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},BitArray{1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Cols{Tuple{Colon}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},typeof(!),Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int,1},Array{Array{Int,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{Int}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Float64,1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int64,1},Int64,Int64,Missing,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int,1},Int,Int,Missing,Missing}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator),Tuple{Symbol,Symbol}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int64},Array{Int64,1}}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int},Array{Int,1}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,UnionAll}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Function,Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Int64}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int,Pair{Symbol,Int}}) Base.precompile(Tuple{Type{DataFrame},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Float64}}}) Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int64,String}},Tuple{Array{Int64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Int,String}},Tuple{Array{Int,1},Array{String,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{Array{Int64,1},Array{Array{Int64,1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{Float64,1}},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{Array{Int,1},Array{Array{Int,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(permutedims),DataFrame,Symbol}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64, Int8},1}}}) - Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Union{Missing, Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int64}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int64}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int64}) - Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int, Int8},1}}}) + Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,1},DataFrame}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{Union{Missing, Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Float64,1}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Missing,Int}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int,Int,Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{String,1}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(unique),DataFrame,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Tuple{Array{Irrational{:π},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},N} where N}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},N} where N}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Symbol,Int}},1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{true},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sum),Tuple{DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b2, :v2),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(sum),Tuple{DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{String,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Any,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1},)) end end Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Symbol},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c, :d),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c, :d),Tuple{UnitRange{Int},Array{Int,1},Array{Int,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int,1},Array{Int,1},Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(Base.vect),DataFrame,Vararg{DataFrame,N} where N}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Missing,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Int64,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Int,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{DataFrameRow{DataFrame,DataFrames.Index},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Int64,1},Function}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{DataFrameRow{DataFrame,DataFrames.Index},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{Int,1},Function}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end @@ -935,274 +940,274 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int64,1},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Symbol}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Int,1},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Symbol}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,ByRow{typeof(identity)}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(promote_type),Type{DataFrames.DataFrameColumns{DataFrame}},Type{Union{Missing, Nothing, GroupedDataFrame{DataFrame}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(unstack),DataFrame,String,String,String}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int64,Int64}},Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int,Int}},Between{Int,Int}}) + Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) - Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Cols{Tuple{String}}}) + Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Cols{Tuple{String}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) Base.precompile(Tuple{typeof(filter),Pair{Array{Symbol,1},typeof(==)},DataFrame}) Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) - Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,Symbol}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int,Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:xmax,),Tuple{Float64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int64}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Float64,1}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.StackedVector{Int}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{Float64,1}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{String},DataFrames.RepeatedVector{String}}) - let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},))) catch missing end + let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{Any,1},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Array{Any,1},)) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{Any,1},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{String,1}}},Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{String,1}}},Tuple{Array{String,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},typeof(!),Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int64,1}}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UnitRange{Int64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int,1}}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, UnitRange{Int}},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int64}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Union{Missing, Int}},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Base.OneTo{Int},Int,Int}) Base.precompile(Tuple{ByRow{typeof(/)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int64}}}},CartesianIndex{2}}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(identity),Tuple{Base.Broadcast.Extruded{PooledArrays.PooledArray{Union{Missing, Int},UInt8,1,Array{UInt8,1}},Tuple{Bool},Tuple{Int}}}},CartesianIndex{2}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int,1},Array{Int,1}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int64,Int64}) - Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int64,1},Array{Int64,1},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{Union{Missing, String},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int,Int}) + Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int,1},Array{Int,1},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,Int,Union{Function, Type},NTuple{4,Array{Int,1}}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,String},1}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Rational{Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int64}},Pair{Symbol,Array{Int64,0}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) - Base.precompile(Tuple{typeof(names),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}}},InvertedIndex{Symbol}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Function,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Array{Int,1},Array{Int,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1},Array{String,1}},Tuple{Array{Int,1},Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Rational{Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int,Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int}},Pair{Symbol,Array{Int,0}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Int}) + Base.precompile(Tuple{typeof(names),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Function,UnitRange{Int}}) isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Float64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int64,Bool,Any,Symbol,Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int,Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int,Bool,Any,Symbol,Array{NamedTuple{(:s, :t),Tuple{Int,Int}},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,String}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(flatten),DataFrame,All{Tuple{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{String}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(rand)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(rand)},Array{Int,1},UnitRange{Int},UnitRange{Int},GroupedDataFrame{DataFrame},Tuple{},Int}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Symbol},InvertedIndex{InvertedIndex{Symbol}},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(),Tuple{}},Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Any,1}}) - Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(filter),Pair{Array{Int64,1},typeof(!=)},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(),Tuple{}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Array{Any,1}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{typeof(filter),Pair{Array{Int,1},typeof(!=)},DataFrame}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/html")},DataFrame}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Array{Int,1}}}) Base.precompile(Tuple{typeof(transform),Function,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},InvertedIndex{Symbol}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(length),Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Array{Int,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Any,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:s, :t),Tuple{Int64,Int64}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/html")},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:s, :t),Tuple{Int,Int}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/html")},DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_eltype,),Tuple{UnionAll}},typeof(stack),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(getindex),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(stack),DataFrame,Symbol,Array{Any,1}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Float64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) - isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) - Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Float64},1},Array{Int64,1},Array{Bool,1},Array{Any,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Tuple{Array{Tuple{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int64,1},Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(isequal),Array{DataFrame,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}) - Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Int,1,Array{Int,1},Tuple{Base.OneTo{Int}},true}}) + Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Float64},1},Array{Int,1},Array{Bool,1},Array{Any,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Tuple{Int}}},Tuple{Array{Tuple{Int},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int,1},Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(isequal),Array{DataFrame,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}}) + Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Bool,1}},Int,Tuple{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(sort),DataFrame,Regex}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Val{false},Array{Int,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Float64},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(+)}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int,Int},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,DataFrame}}}) Base.precompile(Tuple{typeof(stack),DataFrame,Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Float64,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Float64,1},Array{Int,1},Array{Bool,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataAPI.describe, (DataFrame,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Function,typeof(describe),DataFrame,)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),DataFrame,Symbol}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},Pair{typeof(+),String}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) - isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),UndefInitializer,Int64,Int64}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),UndefInitializer,Int,Int}) Base.precompile(Tuple{typeof(merge),NamedTuple{(),Tuple{}},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Missing,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Symbol}}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},UnitRange{Int64},All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int,Symbol}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int,2},UnitRange{Int},All{Tuple{}}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),NTuple{5,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int}},Tuple{Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{String}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int64,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int,Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,Any}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int,Int}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int64,Tuple{Base.OneTo{Int64},Int64}}) - Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.collect_to!),Array{NamedTuple{(:a, :b),T} where T<:Tuple,1},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Int,Tuple{Base.OneTo{Int},Int}}) + Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},1},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int},Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int},Array{String,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Function,Int}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Any,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},BitArray{1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int}},BitArray{1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :a, :b),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Symbol,Int}}) Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:b,),Tuple{Int64}},1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:b,),Tuple{Int}},1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},DataFrame}) Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Float64,1}},1}}) - Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}},Array{Int64,1}}) - Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int64},1},DataFrames.StackedVector{Union{Missing, Int64}}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}},Array{Int,1}}) + Base.precompile(Tuple{typeof(==),Array{Union{Missing, Int},1},DataFrames.StackedVector{Union{Missing, Int}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Base.OneTo{Int64},Function}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Base.OneTo{Int},Function}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Union{Missing, Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int}},Tuple{Array{Union{Missing, Int},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrame!),Dict{String,Any}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(antijoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int,1,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Int,1,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int,1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(append!),DataFrame,Dict{Symbol,AbstractArray{T,1} where T}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int,Symbol}},1}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{String,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Float64}},DataFrames.RepeatedVector{Union{Missing, Float64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Int,1},Array{String,1},Array{Int,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{Float64,1}},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z, :xzz),Tuple{Int64,Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}},Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Tuple{Int64,Int64},Int64,Colon}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Nothing,Union{Function, Type},Tuple{Array{Any,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int},1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:z, :xzz),Tuple{Int,Array{Int,1}}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1}}},Tuple{Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Tuple{Int,Int},Int,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Nothing,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Float64,String}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end if !ismissing(fbody) @@ -1211,441 +1216,441 @@ function precompile(all=false) end Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :matchmissing),Tuple{Array{Symbol,1},Symbol}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int64},Array{Int64,0}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{String,1}},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int},Array{Int,0}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1},Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int,1},1},Array{Array{Int,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Bool,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{String,1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Symbol,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int,1},Int}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}},Tuple{Tuple{Base.OneTo{Int64},Int64},Tuple{Base.OneTo{Int64},Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Any}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Array{Float64,2}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,InvertedIndex{Int64},All{Tuple{}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int64,2}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int}},DataFrames.StackedVector{Union{Missing, Int}}}},Tuple{Tuple{Base.OneTo{Int},Int},Tuple{Base.OneTo{Int},Int}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Any}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, Array{Float64,2}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},DataFrame,InvertedIndex{Int},All{Tuple{}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int,2}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,InvertedIndex{String}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,UnitRange{Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,UnitRange{Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{InvertedIndex{Symbol},ByRow{typeof(/)}},Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Symbol}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{String,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Pair{Symbol,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{String,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :a_1),Tuple{Int,String}},Type{DataFrame}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :z),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :z),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int, Int8},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Int64,1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Int,1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{Union{Missing, Float64},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(semijoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) let fbody = try __lookup_kwbody__(which(DataFrames.transform!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_identity),Tuple{Array{Int64,1},Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Int64,Any}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_identity,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Int,Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_identity),Tuple{Array{Int,1},Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Int,Any}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_identity,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,2},1}}) Base.precompile(Tuple{typeof(iterate),Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Bool,Int}},typeof(repeat),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},typeof(identity)},Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{String,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :variable, :value),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},)) end end - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int64}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},InvertedIndex{Regex}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},InvertedIndex{Regex}}) Base.precompile(Tuple{typeof(sort),DataFrame,InvertedIndex{Array{Any,1}}}) - Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Array{Int64,1},Tuple{Bool},Tuple{Int64}}}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int}},true},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(identity),Tuple{Base.Broadcast.Extruded{Array{Int,1},Tuple{Bool},Tuple{Int}}}},Int}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,3},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Union{Missing, String},1}}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Real,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Union{Missing, String},1}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Real,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Float64,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.RefValue{AsTable},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Colon,Colon}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},1}},Int64,Int64,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},CategoricalArrays.CategoricalValue{String,UInt32},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Colon,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},1}},Int,Int,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},CategoricalArrays.CategoricalValue{String,UInt32},Int}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},All{Tuple{}}}) - Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},All{Tuple{}}}) + Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrame,DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) - Base.precompile(Tuple{Type{DataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int}},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrame,DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int,Bool,Type{AsTable}}) + Base.precompile(Tuple{Type{DataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Bool,Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},Array{AbstractArray{Int64,1},1},Symbol}) - Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int64,String}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{AbstractArray{Int,1},1},Symbol}) + Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Int,String}}) Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{Symbol,String},1}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,Regex,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,Regex,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Any,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{Any,1}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String,Int}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index},Int64,Colon}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Tuple{Array{Rational{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index},Int,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Rational{Int}}},Tuple{Array{Rational{Int},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int64,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Int,Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{typeof(nrow),Symbol},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Array{Float64,3},DataFrame}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,NTuple{4,Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,NTuple{4,Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Colon}}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Int}) Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Tuple{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(groupby),DataFrame,Array{String,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, UInt8},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Between{Int64,Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Between{Int,Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},typeof(!),Between{Int,Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) isdefined(DataFrames, Symbol("#400#401")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#400#401")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Cols{Tuple{Colon}},typeof(+)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any,Int64},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Array{Symbol,1},Bool,Array{Tuple{Float64,Float64},1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Any,Int},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Array{Symbol,1},Bool,Array{Tuple{Float64,Float64},1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1}}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{String}},typeof(semijoin),DataFrame,DataFrame}) - let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Int64,1},))) catch missing end + let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Int,1},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Int64,1},)) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Int,1},)) end end Base.precompile(Tuple{typeof(unique),DataFrame,Regex}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,String}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,String}}}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Bool,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{StepRange{Char,Int64},Tuple{Bool},Tuple{Int64}}}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(identity),Tuple{Base.Broadcast.Extruded{StepRange{Char,Int},Tuple{Bool},Tuple{Int}}}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{Pair{String,Pair{typeof(first),String}},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:nrow,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:nrow,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(transform!),Function,DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Array{Int64,1},1},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},Array{Array{Int,1},1},Array{Array{Int,1},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,UnitRange{Int}}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) - Base.precompile(Tuple{typeof(merge),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:c, :d),Tuple{Int64,Int64}}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int64,Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(merge),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:c, :d),Tuple{Int,Int}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int,Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Int64,Regex}) - Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},Cols{Tuple{Colon}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x_function),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Int,Regex}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}},Pair{Int64,Pair{typeof(sum),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Pair{typeof(sum),Symbol}},Pair{Int,Pair{typeof(sum),Symbol}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},All{Tuple{}}}) + Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:t,),Tuple{Int64}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1}}) - Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int64,1}},1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int64}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int},StepRange{Char,Int},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:t,),Tuple{Int}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,1}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int,1}},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int,Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrame}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Bool,1},Colon}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Bool,1},Colon}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Irrational{:π}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Missing,String}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int,Int},Union{Function, Type},Tuple{Array{UnitRange{Int},1}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,String}}) - Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Base.OneTo{Int},Int,Int}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Type{Tuple},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},UnitRange{Int64},Symbol}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},UnitRange{Int},Symbol}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,3}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1, :x2),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Complex{Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},InvertedIndex{Symbol}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1, :x2),Tuple{Array{Union{Missing, Int},1},Array{Int,1},Array{Complex{Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int},InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Regex}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(select!),DataFrame,Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Type{DataFrame},Array{Any,2},Symbol}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xmax,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Int,Int,Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{String,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Integer,1},Colon}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Integer,1},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{Int64,1},Function}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Array{Int,1},Function}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Float64,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Int64},1},Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Int},1},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) Base.precompile(Tuple{typeof(sort),DataFrame,Function}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,typeof(sum)},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},Between{Int64,Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Int},Between{Int,Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int64,Array{Any,1},Bool}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int,Array{Any,1},Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Int64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Int},Union{Function, Type},Tuple{Array{Complex{Int},1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Symbol,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Missing,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Symbol}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Missing,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,Int,Symbol}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{String,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{Array{Int64,1},Array{Float64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{Array{Int,1},Array{Float64,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Int, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.vect),DataFrameRow{DataFrame,DataFrames.Index},Vararg{Any,N} where N}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) - Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{Array{String,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,ByRow{typeof(identity)}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{Array{AbstractArray{T,1} where T,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res, :x1_length),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Int64,Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Int64,1},Bool}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res, :x1_length),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:x1, :x2),Tuple{Int,Int}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int,1},Array{Int,1},Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(values),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(values),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},Type{Array{Float64,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, Int64},1},Colon}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Union{Missing, Int},1},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, String},1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.OneTo{Int64}}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int64}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.OneTo{Int}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{String,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int64}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Colon}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, Tuple{Symbol,Int64}},1}}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Type{DataFrame},Array{Pair{SubString{String},Array{Int64,1}},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}},Int}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int,Int}},Int,Colon}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int, Tuple{Symbol,Int}},1}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{SubString{String},Array{Int,1}},1}}) Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Any,1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Any,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) - Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Array{Int64,1},Function}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Any,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Array{Int,1},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) + Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Array{Int,1},Function}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Int}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(coalesce),Tuple{DataFrame,Base.RefValue{Nothing}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Float64,String}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Colon}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Int}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Colon}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{Symbol,Symbol,Bool}},typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),Array{Int64,2},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),Array{Int,2},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{UnitRange{Int},1}}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Regex}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2, :x3, :x4),NTuple{4,Float64}},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Tuple{Array{Tuple{Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int},1}}},Tuple{Array{Tuple{Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Any}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},Int,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,String}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -1653,119 +1658,119 @@ function precompile(all=false) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,UnionAll}}) - Base.precompile(Tuple{typeof(filter!),Pair{Array{Int64,1},typeof(!=)},DataFrame}) - Base.precompile(Tuple{Type{DataFrame},Dict{Any,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int64},Int64}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(filter!),Pair{Array{Int,1},typeof(!=)},DataFrame}) + Base.precompile(Tuple{Type{DataFrame},Dict{Any,Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int},Int}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Number,1}}}) - let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},))) catch missing end + Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Int,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Number,1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Int},InvertedIndex{InvertedIndex{Int}},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Int64},InvertedIndex{InvertedIndex{Int64}},)) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Int},InvertedIndex{InvertedIndex{Int}},)) end end - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int64}},Pair{Symbol,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int}},Pair{Symbol,Array{Int,1}}}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Cols{Tuple{Colon}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Tuple{Array{Complex{Int64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Complex{Int}}},Tuple{Array{Complex{Int},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int},Array{String,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Tables.MatrixTable{Array{Float64,2}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String,Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:g,),Tuple{Array{Int64,1}}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String,Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_Ref),Tuple{UnitRange{Int},Array{NamedTuple{(:g,),Tuple{Array{Int,1}}},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Regex,typeof(Statistics.cor)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Int64,1},typeof(+)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_sum,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Int,1},typeof(+)}}) Base.precompile(Tuple{Type{Dict},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x_first),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x_first),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x,),Tuple{Int64}},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x,),Tuple{Int}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int,1}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,Array{Any,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,Array{Any,1},)) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Union{Missing, String},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{String,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Any,1}}}) - Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Union{Missing, String},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}},Array{String,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,Int,Union{Function, Type},NTuple{5,Array{Int,1}}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}}) let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},)) end end Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,1},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :z),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Symbol}) Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Real},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int64,Int64},Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int,Int},Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{6,DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int,1},UnitRange{Int},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Tuple{Symbol},Val{false}}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Any,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt64},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int},1},Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64, Int8},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String,Int64}}) - Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Symbol,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int, Int8},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int,String,Int}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Symbol,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(findall),Function,DataFrames.DataFrameColumns{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int64},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e, :x, :y),Tuple{Array{String,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int,Int,Int},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) + Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int},Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int64},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Cols{Tuple{Colon}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,InvertedIndex{Symbol},))) catch missing end if !ismissing(fbody) @@ -1773,197 +1778,197 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(categorical!),DataFrame,All{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Any,1}}}) - Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int64},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},UnitRange{Int},Cols{Tuple{Colon}}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Array{Symbol,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1},)) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Int,1}}) Base.precompile(Tuple{typeof(unique),DataFrame,Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Any,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Any,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),String,Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.rowhash),Tuple{Array{Symbol,1}},Int64,UInt64}) + Base.precompile(Tuple{typeof(DataFrames.rowhash),Tuple{Array{Symbol,1}},Int,UInt}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{InvertedIndex{Symbol},ByRow{typeof(/)}}}) Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Array{Bool,1},Int64}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int,1},Array{Bool,1},Int}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Column,),Tuple{Array{Symbol,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,All{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{String,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},Int,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{String,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1}},Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}},Array{Int,1}}}}) isdefined(DataFrames, Symbol("#632#635")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#632#635")),Array{Bool,1}}) - Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},typeof(!),Between{Int,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{String,1}}},Type{DataFrame}}) - isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{typeof(sum),Symbol}},1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{String,1},Array{String,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Complex{Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Complex{Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,Symbol}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Function,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Float64,1}},Vararg{Pair{String,Array{Float64,1}},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Bool}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Rational{Int},1}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int,Bool}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int64},1},Array{Tuple{Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Symbol}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int},1},Array{Tuple{Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int,1},Array{String,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1},Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int},1},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) Base.precompile(Tuple{typeof(view),DataFrame,Function,All{Tuple{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Base.Generator{UnitRange{Int64},typeof(identity)},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Bool}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Base.Generator{UnitRange{Int},typeof(identity)},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int}},true},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,Bool}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Colon}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) - isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, Int64},1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),UnitRange{Int64},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Union{Missing, Int},1}}}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, Int},1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),UnitRange{Int},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},typeof(+)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.std),Symbol}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Dict},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) - Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,1},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) + Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) - Base.precompile(Tuple{typeof(in),NamedTuple{(:a, :b),Tuple{Symbol,Int64}},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) + Base.precompile(Tuple{typeof(in),NamedTuple{(:a, :b),Tuple{Symbol,Int}},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{BitArray{1},BitArray{1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(names),DataFrame,Type{T} where T}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:z, :y, :x),Tuple{Int64,Int64,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:z, :y, :x),Tuple{Int,Int,Int}}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}},InvertedIndex{InvertedIndex{Array{Symbol,1}}},)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Real,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Real,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :copycols),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},Bool}},Type{DataFrame}}) - let fbody = try __lookup_kwbody__(which(Statistics.var, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end + let fbody = try __lookup_kwbody__(which(Statistics.var, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int,1}},false},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Nothing,Function,typeof(Statistics.var),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) + Base.precompile(fbody, (Bool,Nothing,Function,typeof(Statistics.var),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int,1}},false},)) end end Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c, :d),Tuple{String,Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Tuple{Symbol,Symbol},typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int,Int}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{String,1,Array{String,1},Tuple{Base.OneTo{Int64}},true}}) + isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{String,1,Array{String,1},Tuple{Base.OneTo{Int}},true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(identity),Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x4, :x1, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BitArray{1},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x4, :x1, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},BitArray{1},Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)}}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,All{Tuple{}}}) Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Dict{String,Int64},Int64,Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Dict{String,Int},Int,Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(),Tuple{}},Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) Base.precompile(Tuple{typeof(transform!),DataFrame,Any}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Function,UnitRange{Int64}}) - Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int64},1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Int64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Function,UnitRange{Int}}) + Base.precompile(Tuple{Type{DataFrame},Array{UnitRange{Int},1},Array{Symbol,1}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Int}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Float64,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{AbstractDataFrame,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Int,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{String,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{Regex}},InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},)) end end - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int,1},Array{Union{Missing, Int},1}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Int},All{Tuple{}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{UnitRange{Int64},StepRange{Char,Int64},Array{Symbol,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job, :_merge),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{UnitRange{Int},StepRange{Char,Int},Array{Symbol,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job, :_merge),Tuple{Array{Int,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{AsTable,UnionAll}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,1},Function}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,1},Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(crossjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64,String}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,Int64}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,String}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(hcat),Array{Int64,1},DataFrame}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int,String}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,Int,Int}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int,Int,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{UnitRange{Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Int,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(hcat),Array{Int,1},DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_f1, :g_f2),Tuple{Array{Int64,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_f1, :g_f2),Tuple{Array{Int,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) @@ -1971,236 +1976,236 @@ function precompile(all=false) end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Number},1}}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Dict{Symbol,UnitRange{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Dict{Symbol,UnitRange{Int}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int64,Int64},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1, :x2),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Int64},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Symbol},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int,1}}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int,Int},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1, :x2),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Int},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Base.OneTo{Int},Int,Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Symbol},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Function,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(identity)}}) - Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,typeof(identity)}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{Union{Missing, BigInt},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, String},1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Tuple{Array{Union{Missing, String},1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{InvertedIndex{Regex},Regex}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Int64,Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64},Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int,Int}},Int,Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Char},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Char},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Cols{Tuple{Colon}}}) - Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int64}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},Int,Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int64,Int64}},StepRange{Int64,Int64},Colon}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int,Int}},StepRange{Int,Int},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) - Base.precompile(Tuple{Type{DataFrame},Array{Int64,2},Array{Symbol,1}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,1},Tuple{Bool},Tuple{Int64}},Base.Broadcast.Extruded{Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},CartesianIndex{2}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Int64,DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}},Int64,Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Int,2},Array{Symbol,1}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,1},Tuple{Bool},Tuple{Int}},Base.Broadcast.Extruded{Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}},Tuple{Bool,Bool},Tuple{Int,Int}}}},CartesianIndex{2}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Int,DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}},Int,Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view,),Tuple{Bool}},typeof(stack),DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int64,1}}},Tuple{Array{Float64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b, :c),NTuple{4,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Any,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:xyz, :xzz),Tuple{Array{Float64,1},Array{Int,1}}},Tuple{Array{Float64,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int, Int8},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Regex}) - Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int64}}) + Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) - isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),String,Int64,Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),String,Int,Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{12,DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int64,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int,String}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(prod),Symbol}}}) Base.precompile(Tuple{typeof(completecases),DataFrame,Regex}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :col),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int64,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}},Tuple{Int64,Tuple{Int64},Tuple{Base.OneTo{Int64},Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Symbol}},1},Tables.NamedTupleIterator{Tables.Schema{(:a, :b),Tuple{Int,Symbol}},Tables.RowIterator{NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Symbol,1}}}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}},Tuple{Int,Tuple{Int},Tuple{Base.OneTo{Int},Int}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, String},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.append!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(append!),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,Symbol}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,Symbol}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,V} where V,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Int64,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Int,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Int,1},Array{Union{Missing, Float64},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) Base.precompile(Tuple{Type{DataFrame},Array{Pair,1}}) - Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{String,UnitRange{Int64}},Pair{String,Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{String,UnitRange{Int}},Pair{String,Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Symbol}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(minmax)},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int64,Int64}},InvertedIndex{Int64}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(minmax)},Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:b, :a),Tuple{Int,Int}},InvertedIndex{Int}}) Base.precompile(Tuple{typeof(getindex),DataFrames.Index,Array{BigInt,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Int,1}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{UnitRange{Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{UnitRange{Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,2},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(reduce),typeof(vcat),Tuple{DataFrame,DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},StepRange{Int64,Int64},StepRange{Int64,Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Cols{Tuple{Colon}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1},Array{Missing,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,Array{Union{Missing, Int64},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :a_b, :a_b_etc),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},UnitRange{Int},StepRange{Int,Int},StepRange{Int,Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},Cols{Tuple{Colon}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{Missing,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Function,Array{Union{Missing, Int},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) Base.precompile(Tuple{typeof(categorical),DataFrame}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int}}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,All{Tuple{}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,All{Tuple{}},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Symbol},Pair{Symbol,Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Missing}}}) Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}},Bool}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int64}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int64,Int64,Int64}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c),Tuple{Int,Int,Int}},DataFrame}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Number,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Number,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int64,1}}}}) - Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int,1}}}}) + Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{String,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:z,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Int64}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Int}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(view),DataFrame,Array{Integer,1},Colon}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) - Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,Array{String,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Int64,1},Colon,Int64}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int64},1},Array{Real,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{String,Array{String,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int}}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Int,1},Colon,Int}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int},1},Array{Real,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Int64}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Symbol}}}) - Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Any,Vararg{Any,N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),DataFrame}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int,Int}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int,Symbol}}}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int,Int}},typeof(repeat),DataFrame}) Base.precompile(Tuple{typeof(categorical),DataFrame,All{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,B} where B,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e, :f, :g, :h),Tuple{Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Union{Missing, Float64},1},Array{String,1},Array{Symbol,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e, :f, :g, :h),Tuple{Array{Float64,1},Array{Float64,1},Array{Int,1},Array{Union{Missing, Float64},1},Array{String,1},Array{Symbol,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int}},DataFrames.StackedVector{Union{Missing, Int}}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Symbol,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},Array{Symbol,1},)) end end - Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,Any}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}) + Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Any,Any}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) - let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,))) catch missing end + let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Vararg{Any,N} where N,)) + Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Any,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int64}},1},NamedTuple{(:a, :b),Tuple{Symbol,Int64}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int64},Int64}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Regex}}) - Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int}},1},NamedTuple{(:a, :b),Tuple{Symbol,Int}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int},Int}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Regex}}) + Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int,1},Array{Float64,1},Bool}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames._combine_prepare, (GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,Bool,typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int64,1}},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,UnitRange{Int64},Function}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Int64,1},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,AbstractArray{Int64,1}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum_sum),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int,1}},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,UnitRange{Int},Function}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Array{Int,1},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,AbstractArray{Int,1}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum_sum),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a),Tuple{Array{String,1},Array{Float64,1},Array{Bool,1},Array{Char,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(convert),Type{DataFrame},Dict{String,Array{T,1} where T}}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Function,UnitRange{Int64}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Function,UnitRange{Int}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Int, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{Int64,UInt32},1,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{Int,UInt32},1,CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),NTuple{4,Array{Float64,1}},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Number,1}}}) - Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int64}},DataFrames.StackedVector{Union{Missing, Int64}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Any,Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Number,1}}}) + Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Union{Missing, Int}},DataFrames.StackedVector{Union{Missing, Int}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Any,Int}}) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Bool,1}}}) Base.precompile(Tuple{Type{DataFrame},Array{Float64,2},Symbol}) Base.precompile(Tuple{typeof(isless),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) @@ -2209,313 +2214,313 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,BitArray{1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,Symbol,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,Symbol,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x),NTuple{4,UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Regex}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),DataFrames.RowGroupDict{DataFrame},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameColumns{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int64},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}}}) - isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Irrational{:π},Int64,Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Union{Missing, Int}},DataFrames.RepeatedVector{Union{Missing, Int}}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Irrational{:π},Int,Int}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1},Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Int64,typeof(+)}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Int,typeof(+)}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Array{String,1}}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Float64,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Real,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int64},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int64,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Dict{Symbol,Union{Missing, Int64}},Int64,Base.OneTo{Int64},Int64,Int64}) - Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int64}}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int,Float64,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Real,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Bool}},Tuple{Array{Bool,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Dict{Symbol,Union{Missing, Int}},Int,Base.OneTo{Int},Int,Int}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},Tuple{}}) Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Int64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Int,2},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1}},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x, :y),Tuple{Array{Int,1},Int}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}},Array{String,1}}) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :keep, :g_function),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :keep, :g_function),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#443#445")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#443#445")),Array{Char,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,Between{Int,Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}}}) Base.precompile(Tuple{Type{DataFrame},Array{Array{Bool,1},1},Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{String,1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{String,1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int},InvertedIndex{Int}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Function}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Float64,Float64},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int,Int}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,InvertedIndex{Regex},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Regex,InvertedIndex{Regex},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Int,Int}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Int}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},UnitRange{Int64},Colon}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{DataType,1},Type{T} where T,Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int64},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},UnitRange{Int},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{DataType,1},Type{T} where T,Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) Base.precompile(Tuple{Type{Array{Any,N} where N},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{SubString{String},1}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,String}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int,String}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Type{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int64,1},Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},InvertedIndex{UnitRange{Int64}},InvertedIndex{UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int64},All{Tuple{}}}) - Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Type{Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int,1},Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Array{Int,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},InvertedIndex{UnitRange{Int}},InvertedIndex{UnitRange{Int}}}) + Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int},All{Tuple{}}}) + Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Complex{Int},1}}}) let fbody = try __lookup_kwbody__(which(DataFrames.select!, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Ref,),Tuple{NamedTuple{(),Tuple{}}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Pair{Symbol,Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{String}},typeof(antijoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int64}},Tuple{Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,))) catch missing end + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int}},Tuple{Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Any,Vararg{Any,N} where N,)) + Base.precompile(fbody, (Bool,Bool,typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},Any,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol,Int64},1}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol,Int},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,3},1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) isdefined(DataFrames, Symbol("#444#446")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#444#446")),Array{Float64,1}}) - Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Int,1}}}) + Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(transform),DataFrame,Any}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int64}},DataFrame}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},Array{Array{Int64,1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, Number},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(convert),Tuple{Base.RefValue{Type{Int}},DataFrame}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},Array{Array{Int,1},1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Number,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Number,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Tuple{Int,Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(semijoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, NamedTuple{(:a, :b),Tuple{Symbol,Int64}}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}},Tuple{Array{String,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int, NamedTuple{(:a, :b),Tuple{Symbol,Int}}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :b, :d, :a, :e),NTuple{5,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(identity),Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Any,1}}}) Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Symbol}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{DataFrame,1}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{DataFrame,1}}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Regex}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int64,Int64},2},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},Array{Tuple{Int,Int},2},Symbol}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int64},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:summary,),Tuple{Bool}},typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}},DataFrame}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}},DataFrame}}}) Base.precompile(Tuple{typeof(groupby),DataFrame,Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :B),Tuple{Int64,Missing,Float64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_function, :a),Tuple{Array{Any,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :C, :B),Tuple{Int,Missing,Float64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_function, :a),Tuple{Array{Any,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int,Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, String},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(push!),DataFrame,Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int64,1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},BigInt,Colon}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int64}}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},Function}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int,1},Array{Union{Missing, String},1},Array{Union{Missing, Int},1},Array{Union{Missing, String},1},Array{Union{Missing, Int},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},BigInt,Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int,2},Function}) Base.precompile(Tuple{typeof(DataFrames._manipulate),DataFrame,Any,Bool,Bool}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Rational{Int64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.vect),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Vararg{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},N} where N}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,String}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(Base.vect),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Vararg{SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},N} where N}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(-),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int,String}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:keepkeys,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}},Vararg{Pair{String,Array{Any,1}},N} where N}) - Base.precompile(Tuple{typeof(iterate),DataFrames.StackedVector{Union{Missing, Int64}},Tuple{Base.OneTo{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},typeof(+)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_Ref),Tuple{UnitRange{Int64},Array{NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :Ref),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},NamedTuple{(),Tuple{}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Float64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{typeof(iterate),DataFrames.StackedVector{Union{Missing, Int}},Tuple{Base.OneTo{Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Pair{UnitRange{Int},typeof(+)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_Ref),Tuple{UnitRange{Int},Array{NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :Ref),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},NamedTuple{(),Tuple{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int,1},Array{Float64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,String}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{BigInt,Symbol}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int,Int,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Float64,2}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Union{Missing, Float64},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Int,1},Array{Union{Missing, Float64},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Bool}) + Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Bool}) Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int64},Array{Union{Missing, Int64},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int64},Array{Union{Missing, Char},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Base.OneTo{Int64}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int},Array{Union{Missing, Int},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int},Array{Union{Missing, Char},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Base.OneTo{Int}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:b,),Tuple{Int}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x_sum,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :id, :y, :z),Tuple{Array{Float64,1},Array{Int64,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x_sum,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Base.OneTo{Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :id, :y, :z),Tuple{Array{Float64,1},Array{Int,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),GroupedDataFrame{DataFrame},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},Array{Int64,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Int,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Int64},Dict{Symbol,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Int},Dict{Symbol,Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}}) - Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int64},1},1},Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int64},StepRange{Char,Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(==),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}},GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}}) + Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Int},1},1},Symbol}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{UnitRange{Int},StepRange{Char,Int}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Function,Bool,Bool,typeof(unstack),DataFrame,Symbol,Symbol,)) end end - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Base.OneTo{Int64},Function}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat!),DataFrame}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Base.OneTo{Int},Function}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int,Bool}},typeof(repeat!),DataFrame}) + Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Bool,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Int64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int64,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}},Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Int,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Int,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}},Int}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{Bool,Symbol}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Symbol,Function},Bool}) - Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(==),Array{Int64,1},Vararg{Array{Int64,1},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(==),Array{Int,1},Vararg{Array{Int,1},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Colon,All{Tuple{}}}) Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Between{Symbol,Symbol}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) - Base.precompile(Tuple{ByRow{typeof(-)},Array{Int64,1}}) - Base.precompile(Tuple{typeof(unstack),DataFrame,Int64,Int64}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},StepRange{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1}},Tuple{Array{Union{Missing, Int},1}}}) + Base.precompile(Tuple{ByRow{typeof(-)},Array{Int,1}}) + Base.precompile(Tuple{typeof(unstack),DataFrame,Int,Int}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},StepRange{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) - isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Float32,Int64,Int64}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Float32,Int,Int}) Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NTuple{4,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int64,Tuple{Symbol}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NTuple{4,Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int,Tuple{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) @@ -2523,104 +2528,104 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(identity)}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{Symbol},Array{Int64,1}}) + Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{Symbol},Array{Int,1}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Function,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Function,)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int64,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int,1},Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Symbol,1}}) Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{String,1},Array{Float32,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index},InvertedIndex{Int}}) Base.precompile(Tuple{typeof(unstack),DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int64,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,1},Base.OneTo{Int64},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int,1},Base.OneTo{Int},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false},Union{Function, Type},Tuple{Array{Union{Missing, Int},1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow)}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{UnitRange{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e),Tuple{Array{Int,1},Array{Int,1},UnitRange{Int},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{BigFloat,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Int64, Int8},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Regex}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Int, Int8},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Regex}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int64,1},UnitRange{Int64},UnitRange{Int64},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int64}) - isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int,1},UnitRange{Int},UnitRange{Int},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int}) + isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrame,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1},Array{Float64,1}},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1},Array{Float64,1}},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Regex}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Any,1}}}) - Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int64},1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int},1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int,1}}}}) Base.precompile(Tuple{typeof(categorical!),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int64}},true}},Val{true}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Symbol,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Bool,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int}},true}},Val{true}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Array{Symbol,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Bool,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Symbol}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Cols{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) - Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Nothing,Bool,Any,Symbol,Array{Array{Int64,1},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{String}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Nothing,Bool,Any,Symbol,Array{Array{Int,1},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{String}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64,Symbol}}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int64}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int,Symbol}}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int}}}) Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Dict{Symbol,Missing}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Float64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},DataFrames.StackedVector{Union{Missing, Float64}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Pair{Symbol,typeof(sum)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(names),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Any,1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int64,Int64}},Type{DataFrame}}) - let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,))) catch missing end + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Type{DataFrame},NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},Array{Any,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Int,Int}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Int,Pair{typeof(length),Symbol}},Vararg{Pair{Int,Pair{typeof(length),Symbol}},N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}},Vararg{Pair{Int64,Pair{typeof(length),Symbol}},N} where N,)) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Pair{typeof(length),Symbol}},Vararg{Pair{Int,Pair{typeof(length),Symbol}},N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{DataFrame,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64},String}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{names,Tuple{Int64,Int64}} where names,1}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int64,1,Array{Int64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{DataFrame,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :x1),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{names,Tuple{Int,Int}} where names,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,Array{String,1}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end @@ -2629,271 +2634,271 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) - Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}},Val{true}}) - Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) + Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int,1},Array{Int,1}},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{Union{Missing, Int},1}},Val{true}}) + Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Symbol}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},Function}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int,Int,Int},Function}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Regex,InvertedIndex{Regex}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:y, :x),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,String}},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},UnitRange{Int},Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:y, :x),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Array{Symbol,1},Base.RefValue{Bool},Any,AsTable,Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int,String}},1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Float64},1},Array{Any,1}}) - Base.precompile(Tuple{Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) + Base.precompile(Tuple{Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) Base.precompile(Tuple{typeof(DataFrames.printtable),Base.GenericIOBuffer{Array{UInt8,1}},DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.mean),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Int64,1,Base.ReshapedArray{Int64,2,UnitRange{Int64},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Int,1,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Int,1,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int64},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Rational{Int},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int,Missing}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,Array{Bool,1},Colon}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Function,DataFrame,Val{2}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(sum),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Pair{typeof(sum),Symbol}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{UInt64,1},Colon}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int64,Int64},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int64}},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{UInt,1},Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int,Int},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1},Array{Int,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Any}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Any,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Any,1}}}) Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Any,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:b, :a),Tuple{Int64,Int64}},Int64,Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:b, :a),Tuple{Int,Int}},Int,Colon}) Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},All{Tuple{}}}) Base.precompile(Tuple{typeof(promote_type),Type{GroupedDataFrame{DataFrame}},Type{Union{Missing, Nothing}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - let fbody = try __lookup_kwbody__(which(Statistics.mean, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},))) catch missing end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :c),Tuple{Int,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Int},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + let fbody = try __lookup_kwbody__(which(Statistics.mean, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int,1}},false},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Function,typeof(Statistics.mean),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int64,1}},false},)) + Base.precompile(fbody, (Function,typeof(Statistics.mean),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int,1}},false},)) end end - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int64,Int64,String}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,Int,String}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Any,1},1}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(Tables.schema),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(Tables.schema),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Real,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrame}) - Base.precompile(Tuple{typeof(isequal),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(isequal),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},DataFrameRow{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},UnitRange{Int},All{Tuple{}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Colon}) - Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Colon}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},Function}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,Symbol},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int64,1}},Val{true},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int,1}},Val{true},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{AbstractDataFrame,1}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Any},1}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) Base.precompile(Tuple{typeof(push!),DataFrame,Array{String,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{String,1},Array{String,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (String,String,Bool,Type{T} where T,typeof(stack),DataFrame,Array{String,1},Array{String,1},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int64,1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Bool}},typeof(repeat),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int,Int}},Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int,1},Array{String,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int,Bool}},typeof(repeat),DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,typeof(sum)}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int,Int}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,typeof(transform),DataFrame,Any,Vararg{Any,N} where N,)) end end Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(exp)},Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,Pair{typeof(length),Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int64,2},Colon,All{Tuple{}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigInt,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Pair{typeof(length),Symbol}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int,2},Colon,All{Tuple{}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigInt,1}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{UInt8,Symbol}}) - isdefined(DataFrames, Symbol("#621#624")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#621#624")),Array{Union{Missing, Int64},1}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int64,2},InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Any,1}}}) + isdefined(DataFrames, Symbol("#621#624")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#621#624")),Array{Union{Missing, Int},1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Array{Int,2},InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Any,1}}}) Base.precompile(Tuple{typeof(rename!),DataFrames.Index,Array{Pair{Symbol,Symbol},1}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{PooledArrays.PooledArray{Union{Missing, Int64},UInt8,1,Array{UInt8,1}}},Bool}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{PooledArrays.PooledArray{Union{Missing, Int},UInt8,1,Array{UInt8,1}}},Bool}) Base.precompile(Tuple{Type{DataFrame},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Tuple{Array{Array{Float64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{NamedTuple{(:g,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}}},Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int,1}}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Float64,1},1}}},Tuple{Array{Array{Float64,1},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int,Int}}}) Base.precompile(Tuple{typeof(DataFrames._gen_colnames),Any,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :makeunique, :copycols),Tuple{Int64,Bool,Bool}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{String,UnitRange{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{Colon,typeof(Statistics.cor)}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :makeunique, :copycols),Tuple{Int,Bool,Bool}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{String,UnitRange{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Pair{Colon,typeof(Statistics.cor)}}) Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(minimum)}}) - Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(groupindices),GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int64,1},Array{Float64,1},Array{Union{Missing, Int64},1},Bool}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int,1},Array{Float64,1},Array{Union{Missing, Int},1},Bool}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),Array{NamedTuple{(),Tuple{}},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,UnitRange{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int64,1,Array{Int64,1},Tuple{UnitRange{Int64}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Int64,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,UnitRange{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Int,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,Symbol,Bool}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g2, :x, :g1),Tuple{UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{BigFloat,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g2, :x, :g1),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{BigFloat,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},typeof(nrow),Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,Array{Float64,1}}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Cols{Tuple{}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},typeof(!),InvertedIndex{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Union{Function, Type},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(sort),DataFrame,Cols{Tuple{Colon}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Val{true},Array{Int64,1},Bool,Bool}) - let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Val{true},Array{Int,1},Bool,Bool}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int64,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) + Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int64}},Function}) + Base.precompile(Tuple{typeof(getindex),DataFrames.StackedVector{Union{Missing, Int}},Function}) Base.precompile(Tuple{typeof(flatten),DataFrame,InvertedIndex{Symbol}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int,1},Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Tuple{Missing}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Union,1},Array{Symbol,1},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1}},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Union,1},Array{Symbol,1},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Float64,Function,GroupedDataFrame{DataFrame},Nothing}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Char,1},Array{Float64,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Symbol,1},Array{Symbol,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},Tuple{}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1, :v2),Tuple{Array{Symbol,1},Array{Symbol,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},Tuple{}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._combine_prepare)),NamedTuple{(:copycols, :keepkeys, :ungroup, :keeprows, :renamecols),NTuple{5,Bool}},typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},typeof(sum)}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Type{SubDataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Cols{Tuple{Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Type{SubDataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Colon,Cols{Tuple{Array{Int,1}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Regex,InvertedIndex{Regex}}}}) Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameColumns{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Float64,String,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int64,Int64}},Int64,Colon}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :c),Tuple{Int,Int}},Int,Colon}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.var),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int64}},typeof(repeat!),DataFrame}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Int64,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int}},typeof(repeat!),DataFrame}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{String}}) Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Union{Missing, Float64},2}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int,1}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Any,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Any,1},)) end end - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Dict{String,Int64},UnitRange{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{BigInt,1},Colon}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int64,1},Int64,GroupedDataFrame{DataFrame},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Dict{String,Int},UnitRange{Int}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{BigInt,1},Colon}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{String,1}},Tuple{Array{Int64,1},Array{String,1}}}) - Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},Colon,Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},DataFrame}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(view),DataFrame,Function,Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int64,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{String,1}},Tuple{Array{Int,1},Array{String,1}}}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},UnitRange{Int},Colon,Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},DataFrame}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(view),DataFrame,Function,Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{typeof(nrow),1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},NTuple{5,Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrame,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{UnitRange{Int}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int,Int,Int},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{Type{DataFrame},Dict{String,Any}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Array{Float64,2}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int64},All{Tuple{}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int},All{Tuple{}}}) Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int64,String}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Union{Missing, Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int64},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(sin),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false}}},Tuple{Array{Union{Missing, Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rename!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(rename!),DataFrames.Index,Array{Symbol,1}}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) @@ -2901,213 +2906,213 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(identity)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(+)}}) Base.precompile(Tuple{typeof(stack),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,UnitRange{Int64},Colon}) - Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Array{Int64,2},InvertedIndex{Int64},All{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, Int64}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int64},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,UnitRange{Int},Colon}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,2},InvertedIndex{Int},All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int}},DataFrames.RepeatedVector{Union{Missing, Int}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(sum)},1}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Function,Regex}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int64,1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Function,Regex}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1}},Tuple{Array{Union{Missing, Int},1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Array{String,1},Base.RefValue{ByRow{typeof(-)}}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(+),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Int64}) - Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,Array{Int64,1}},1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(+),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Int}) + Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,Array{Int,1}},1}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,UnitRange{Int64}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int64,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int,Int},1},Union{Function, Type},Tuple{Array{Int,1}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Function}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},UnitRange{Int64}}) - Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int64},1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},UnitRange{Int}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Union{Missing, Int},1}}}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/latex")},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{String,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Irrational{:π},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Irrational{:π},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Int64}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Int}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int,All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames.group_rows),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) - Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int64,Char}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Float64},Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) + Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int,Char}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{Int64},Union{Function, Type},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{Int},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(getindex),DataFrames.Index,UnitRange{BigInt}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Symbol,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) Base.precompile(Tuple{typeof(select!),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) Base.precompile(Tuple{typeof(stack),DataFrame,Regex}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.do_append!),Bool,Array{String,1},Array{Missing,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}},Array{typeof(nrow),1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int64,String}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F),NTuple{6,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Array{typeof(nrow),1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int,String}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F),NTuple{6,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int64},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean),Tuple{UnitRange{Int},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Bool,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Any}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :bin),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(first)}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(prod),Symbol}}}) - Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{}}}) Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(permutedims),DataFrame,Int64}) - let fbody = try __lookup_kwbody__(which(DataFrames.combine, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,))) catch missing end + Base.precompile(Tuple{typeof(permutedims),DataFrame,Int}) + let fbody = try __lookup_kwbody__(which(DataFrames.combine, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Any,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Bool,typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Any,)) + Base.precompile(fbody, (Bool,typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Any,)) end end - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(filter),Function,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Symbol}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64,All{Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Rational{Int},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},UnitRange{Bool}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},DataFrame,Colon,All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_function,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},DataFrame,Colon,All{Tuple{}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int64}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int64}}}},Base.OneTo{Int64},Int64,Int64}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int64,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,2}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Base.OneTo{Int},Int,Int}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int,Int}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int,2}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int64},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},Array{Float64,1}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,DataFrame}}}}}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(first)}}) Base.precompile(Tuple{typeof(DataFrames.escapedprint),Base.GenericIOBuffer{Array{UInt8,1}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index},String}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int64}},Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{true},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Val{true},Nothing}) Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Colon,Array{Symbol,1}}) + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Colon,Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(),Tuple{}},DataFrame}) Base.precompile(Tuple{typeof(reduce),typeof(vcat),Array{DataFrame,1}}) - isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Markdown.MD,Int64,Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:c,),Tuple{Float64}},Tuple{Array{Float64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :y),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Markdown.MD,Int,Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:c,),Tuple{Float64}},Tuple{Array{Float64,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :y),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{String,1},typeof(identity)},Bool}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Real},1}}) - Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{Union{Nothing, String},1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Union{Missing, Real},1}}) + Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},Between{Int,Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{Union{Nothing, String},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,InvertedIndex{Symbol}}) - Base.precompile(Tuple{typeof(view),DataFrame,Int64,All{Tuple{}}}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64},InvertedIndex{Int64}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int64,1},Array{Union{Nothing, Int64},1},Array{Union{Nothing, Int64},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c_sum,),Tuple{Int64}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,Int,All{Tuple{}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int,Int},InvertedIndex{Int}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Union{Nothing, Int},1},Array{Union{Nothing, Int},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int,1},Array{Union{Nothing, Int},1},Array{Union{Nothing, Int},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c_sum,),Tuple{Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(flatten),DataFrame,String}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int64}) - Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Regex}) - Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},Regex}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Any}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Missing,String,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int64},1,Array{Union{Missing, Int64},1},Tuple{Base.OneTo{Int64}},true}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},InvertedIndex{Symbol}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},InvertedIndex{Symbol}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int64,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int64,Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int64,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int,Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Type{DataFrame},Array{Array{T,1} where T,1},Symbol}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int64,1},Array{String,1}}) + Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int,1},Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Array{typeof(nrow),1},Bool}) - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int64,Int64,Int64},InvertedIndex{Int64}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int,Int,Int},InvertedIndex{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Pair{typeof(identity),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},UnitRange{Int64},Function}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int64,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},UnitRange{Int},Function}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,Array{String,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:z,),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:z,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow),typeof(nrow)}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},CategoricalArrays.CategoricalArray{Union{Missing, Int64},1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Missing}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{Char,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :id1_1, :x_right),NTuple{4,UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, BigInt},1},Colon}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :id1_1, :x_right),NTuple{4,UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Float64,1}}}) + Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right, :ind),Tuple{Array{Int,1},Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Union{Missing, BigInt},1},Colon}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :v1),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Symbol},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{Array{Union{Missing, Float64},1},1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),Array{Union{Missing, String},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_right),Tuple{Int64,String}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Int64,DataFrame}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},typeof(!),UnitRange{Int64}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_right),Tuple{Int,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Int,DataFrame}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},typeof(!),UnitRange{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Real,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Real,1}}}) Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(!=),Array{String,1},Vararg{Array{String,1},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) @@ -3119,388 +3124,388 @@ function precompile(all=false) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Nothing}) - Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{String,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Array{Int64,1},Bool,Type{AsTable}}) - Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{String,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Array{Int,1},Bool,Type{AsTable}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{UnitRange{Int}}}) Base.precompile(Tuple{typeof(setproperty!),DataFrame,Symbol,PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Colon,typeof(Statistics.cor)}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce),Function,Function,Nothing,Nothing,Bool,Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Int64,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(nonunique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Array{Float64,2},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Int,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(nonunique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Array{Float64,2},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Base.OneTo{Int64}},Function,Array{Int64,1}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},Function,Array{Int,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigInt,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int64},1},DataFrames.RepeatedVector{String},Int64}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,Int64,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int64},UnitRange{Int64}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int64,Pair{Symbol,Array{Array{Int64,1},1}}}) - let fbody = try __lookup_kwbody__(which(DataFrames._stackview, (DataFrame,Array{Int64,1},Array{Int64,1},))) catch missing end + Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int},1},DataFrames.RepeatedVector{String},Int}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int,Int,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{Array{Int,1},1}}}) + let fbody = try __lookup_kwbody__(which(DataFrames._stackview, (DataFrame,Array{Int,1},Array{Int,1},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Type{T} where T,typeof(DataFrames._stackview),DataFrame,Array{Int64,1},Array{Int64,1},)) + Base.precompile(fbody, (Symbol,Symbol,Type{T} where T,typeof(DataFrames._stackview),DataFrame,Array{Int,1},Array{Int,1},)) end end - Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :c),Tuple{Int64,Int64}},InvertedIndex{Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :a),Tuple{Int64,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) + Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :c),Tuple{Int,Int}},InvertedIndex{Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :a),Tuple{Int,Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) Base.precompile(Tuple{typeof(describe),DataFrame}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Float64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{typeof(nrow),Symbol},1}}) Base.precompile(Tuple{typeof(map),Function,GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Array{Array{Int64,1},1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{String,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int64,1}}},Int64}) - Base.precompile(Tuple{typeof(hcat),DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),NTuple{4,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Array{Array{Int,1},1},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{String,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int,1}}},Int}) + Base.precompile(Tuple{typeof(hcat),DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Symbol,1},InvertedIndex{Array{Symbol,1}},)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Symbol,Pair{Symbol,typeof(first)}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, Complex{Float64}},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Symbol,Pair{Symbol,typeof(first)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int64,String}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{Int64}},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int64}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.std),Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_last, :x2_last, :x3_last, :x4_last),Tuple{Array{Int64,1},Int64,Int64,Int64,Int64}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :_left),Tuple{Int,String}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{Int}},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{String,1}},Int}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.std),Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_last, :x2_last, :x3_last, :x4_last),Tuple{Array{Int,1},Int,Int,Int,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{UnitRange{Bool}}}) - Base.precompile(Tuple{Type{DataFrameRow},DataFrame,Int64,Function}) + Base.precompile(Tuple{Type{DataFrameRow},DataFrame,Int,Function}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Symbol},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Base.OneTo{Int64}},true}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + isdefined(DataFrames, Symbol("#627#628")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#627#628")),SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Base.OneTo{Int}},true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Type{Array{T,1} where T}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(length),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigFloat}},Tuple{Array{BigFloat,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Function,Function,Bool,Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) end end Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{String,ByRow{typeof(-)}},1}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int64,1}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) + Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int64,typeof(sum)}}) - Base.precompile(Tuple{typeof(allowmissing!),DataFrame,InvertedIndex{InvertedIndex{Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int64,0,Array{Int64,1},Tuple{Int64},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,typeof(sum)}}) + Base.precompile(Tuple{typeof(allowmissing!),DataFrame,InvertedIndex{InvertedIndex{Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int,0,Array{Int,1},Tuple{Int},true}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,NTuple{4,Array{Float64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int,Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(transform!),DataFrame,Any,Any,Vararg{Any,N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int64}},1}}}) - Base.precompile(Tuple{typeof(view),DataFrame,Int64,Between{Int64,Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int64,1},Array{Tuple{Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int64,Int64,Int64,Int64,Array{Int64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) + Base.precompile(Tuple{typeof(view),DataFrame,Int,Between{Int,Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int,1},Array{Tuple{Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int,Int,Int,Int,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.Index},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int,Int},1}}},Tuple{Array{Tuple{Int,Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{NamedTuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{typeof(identity),DataType}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1}},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1}},Tuple{Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,Pair{typeof(identity),DataType}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int64,1}},Pair{Symbol,Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Pair{AsTable,Pair{typeof(identity),DataType}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int,1}},Pair{Symbol,Array{Float64,1}}}) Base.precompile(Tuple{typeof(categorical!),DataFrame,Type{Integer}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Array{NamedTuple{(:x, :y),Tuple{Int64,Int64}},1},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(nonunique),DataFrame,Function}) let fbody = try __lookup_kwbody__(which(isapprox, (DataFrame,DataFrame,))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Int64,Float64,Bool,Function,typeof(isapprox),DataFrame,DataFrame,)) - end - end - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int64,Int64,Int64},1}}},Tuple{Array{Tuple{Int64,Int64,Int64},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},UnitRange{Int64},UnitRange{Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Int64,1},1}}},Tuple{Array{Array{Int64,1},1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C, :B, :A),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(filter),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int64}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Array{Int64,1}}) + Base.precompile(fbody, (Int,Float64,Bool,Function,typeof(isapprox),DataFrame,DataFrame,)) + end + end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int,Int,Int},1}}},Tuple{Array{Tuple{Int,Int,Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},UnitRange{Int},UnitRange{Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Int,1},1}}},Tuple{Array{Array{Int,1},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C, :B, :A),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},DataFrame}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(filter),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) + Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int64,1},Array{Union{Missing, Int64, Int8},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Union{Missing, Int, Int8},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Number,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first),Tuple{Int64,Int64,Missing,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{5,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_first, :x2_first, :x3_first, :x4_first),Tuple{Int,Int,Missing,Missing}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},NTuple{5,Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Regex,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{UnitRange{Int64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{UnitRange{Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(describe),DataFrame,Symbol}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int64}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int64},Tuple{}},Tuple{Bool,Bool},Tuple{Int64,Int64}}}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int},Tuple{}},Tuple{Bool,Bool},Tuple{Int,Int}}}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int64},1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p, :q, :r),NTuple{4,Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:c_sum,),Tuple{Int64}},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p, :q, :r),NTuple{4,Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:c_sum,),Tuple{Int}},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Union{Missing, Int},1}}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{BigInt,1},Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int64},Union{Function, Type},Tuple{Array{Rational{Int64},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int64},1},Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int64,String}}}) - Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int64,1},Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Rational{Int},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int,String}}}) + Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Array{Float64,2},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,String},Pair{Symbol,UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Tuple{Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{StepRange{Int,Int}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,String},Pair{Symbol,UnitRange{Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Any,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),DataFrame,BitArray{1},Symbol}) - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,String}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:B, :A),Tuple{UnitRange{Int64},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:B, :A),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int64}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,3},DataFrame}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false}}},Tuple{Array{Int64,1},Array{Int64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:p, :q),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},NTuple{4,Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{Array{String,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true}},Val{true}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Bool,1}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Number,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int64},Base.OneTo{Int64}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{Array{Union{Missing, Bool},1},Tuple{Bool},Tuple{Int64}},Base.RefValue{Nothing}}},Int64,Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :z),Tuple{Array{Any,1},UnitRange{Int64},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :d),Tuple{Int64,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, Real},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int64,1}}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int64,Int64}},typeof(repeat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{Array{Union{Missing, Bool},1},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :z),Tuple{Array{Any,1},UnitRange{Int},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :d),Tuple{Int,Int}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1),Tuple{Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, Real},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x,),Tuple{Array{Int,1}}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int,Int}},typeof(repeat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1},Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Dict{Symbol,Int64},1},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) - let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},))) catch missing end + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Dict{Symbol,Int},1},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}) + let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{Array{Int,1}},InvertedIndex{InvertedIndex{Array{Int,1}}},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Int64,1}},InvertedIndex{InvertedIndex{Array{Int64,1}}},)) + Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Array{Int,1}},InvertedIndex{InvertedIndex{Array{Int,1}}},)) end end - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int64,String}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Any,1},Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int64},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Int64},1}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int,String}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},Array{Any,1},Array{Int,1},Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Int},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{10,DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}}},Array{Bool,1}}) - Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},Int64,Colon}) + Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Array{Bool,1}}) + Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},Int,Colon}) Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Int64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int64}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Regex}) - Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int64},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int64,1}},Vararg{Any,N} where N}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},Array{Complex{Int},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(==),DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) + Base.precompile(Tuple{Type{DataFrame},Dict{String,UnitRange{Int}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Regex}) + Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int},1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int,1}},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(categorical),DataFrame,Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1},Array{Float64,1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int64,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Float64,1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int64}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int64,Symbol}}}) - Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Any,Any,Vararg{Any,N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) - Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),NTuple{4,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int64, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) - Base.precompile(Tuple{typeof(completecases),DataFrame,UnitRange{Int64}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Int64,1},typeof(+)}}) - Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int64,Symbol}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{Int64}}},typeof(describe),DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Array{Int64,1}},Array{typeof(nrow),1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.sort)),NamedTuple{(:view,),Tuple{Bool}},typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Int,Symbol}}}) + Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Any,Any,Vararg{Any,N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Symbol},1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Bool,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) + Base.precompile(Tuple{typeof(sort),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x, :y, :z),NTuple{4,Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Int, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) + Base.precompile(Tuple{typeof(completecases),DataFrame,UnitRange{Int}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Int,1},typeof(+)}}) + Base.precompile(Tuple{typeof(rename),DataFrame,Dict{Int,Symbol}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{Int}}},typeof(describe),DataFrame}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},Array{typeof(nrow),1}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) - let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},))) catch missing end + Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},typeof(!),All{Tuple{}}}) + let fbody = try __lookup_kwbody__(which(sortperm, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Array{Any,1},))) catch missing end if !ismissing(fbody) - Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Array{Any,1},)) + Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Array{Any,1},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int64,1},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},NTuple{4,Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Bool,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},NTuple{4,Array{Int,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int64,1},Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int64,Int64}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int,Int}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, Integer},1},Colon}) Base.precompile(Tuple{typeof(categorical),DataFrame,String}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1},Array{Missing,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}},Array{Union{Missing, UInt64},1},Colon}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{Array{Int64,1},Array{Int64,1}},Tuple{String,String}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Union{Missing, UInt},1},Colon}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{String,String}}) Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2, :y),Tuple{Array{Int64,1},UnitRange{Int64},Array{Int64,1},UnitRange{Int64},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}},Array{Int64,2}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2, :y),Tuple{Array{Int,1},UnitRange{Int},Array{Int,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}},Array{Int,2}}) Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Float64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1, :x2),Tuple{UnitRange{Int64},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int64,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1, :x2),Tuple{UnitRange{Int},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :indicator, :makeunique),Tuple{Symbol,String,Bool}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int64,1},UnitRange{Int64}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y_function, :x_sum),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) - Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int64, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Int64},1}}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) + Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Bool,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :a),Tuple{Array{Char,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int64,1,Array{Int64,1},Tuple{Base.OneTo{Int64}},true}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :a),Tuple{Array{Char,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int,1,Array{Int,1},Tuple{Base.OneTo{Int}},true}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int64,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Markdown.MD,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(view),DataFrame,Function,Between{Int64,Int64}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :q),Tuple{Array{Int,1},Array{String,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int,1},Array{Markdown.MD,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(view),DataFrame,Function,Between{Int,Int}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int64},Between{Int64,Int64}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},Base.OneTo{Int64}}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int64}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int64}}}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int},Between{Int,Int}}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int}}}}}}) Base.precompile(Tuple{typeof(convert),Type{Tuple},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int64,Int64}},Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int64,Int64}}},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int,Int}},Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},Colon,Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Int64}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}}}) - Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Array{Int64,1},Array{Int64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Int64,UnitRange{Int64}}) - Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2, :v3),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Array{Int64,1},Symbol,Bool,BigInt,Union{Function, Type},Tuple{Array{BigInt,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int,1},Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) + Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{UnitRange{Int}}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Int,UnitRange{Int}}) + Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2, :v3),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,BigInt,Union{Function, Type},Tuple{Array{BigInt,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int64},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int64,1},Array{Int64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Float64,Int64,Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Float64,Int,Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),Array{DataFrameRow{DataFrame,DataFrames.Index},1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int64,Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}}}) - Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Int64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Int64}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z,),Tuple{UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int64,Int64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int64}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int64, Int8},1}},Val{false},Array{Int64,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},Array{Int64,1}},Pair{AsTable,typeof(identity)}}) - Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol,Int64}}}) - isdefined(DataFrames, Symbol("#128#132")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#128#132")),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int64,1},Array{Int64,1}},UnitRange{Int64}}}) - Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},typeof(!),All{Tuple{}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}}) + Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Int,1},GroupedDataFrame{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Int}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z,),Tuple{UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRange{Int,Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int, Int8},1}},Val{false},Array{Int,1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Pair{AsTable,typeof(identity)}}) + Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol,Int}}}) + isdefined(DataFrames, Symbol("#128#132")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#128#132")),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}) + Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},typeof(!),All{Tuple{}}}) Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/html")},DataFrame}) Base.precompile(Tuple{Type{DataFrame},Array{Array{Any,1},1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int64},1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{UnitRange{Int},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :e),Tuple{Array{Any,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int64,1},Array{Int64,1},Array{Int64,1}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(first)}}) Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},typeof(repr)}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{DataType,1},typeof(!),Symbol}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}}}},Int64}) + Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Int}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,2}}) Base.precompile(Tuple{typeof(mapcols),typeof(categorical),DataFrame}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{String,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(semijoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol}}}) Base.precompile(Tuple{Type{DataFrame},Array{Array{String,1},1},Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{ByRow{typeof(minmax)},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int64,1}},false},N} where N}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(minmax)},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},N} where N}) Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Int64,1},1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int64}}},Array{Symbol,1}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int64}},Type{DataFrame}}) - Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},Vararg{SubArray{Int64,1,Array{Int64,1},Tuple{Array{Int64,1}},false},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Int,1},1}}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}},Array{Symbol,1}}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int}},Type{DataFrame}}) + Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},Vararg{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},N} where N}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int64,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Int64,Int64,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int64,1,UInt32,Int64,CategoricalArrays.CategoricalValue{Int64,UInt32},Union{}}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int64,1},Array{Float64,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{Symbol},Val{false}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int64},All{Tuple{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :a, :b, :c, :q),Tuple{StepRange{Char,Int64},UnitRange{Int64},Array{Int64,1},Array{Int64,1},StepRange{Char,Int64}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int64}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int64,Int64}},1}},Int64}) + Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int},All{Tuple{}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:p, :a, :b, :c, :q),Tuple{StepRange{Char,Int},UnitRange{Int},Array{Int,1},Array{Int,1},StepRange{Char,Int}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int64}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int64,1},Array{Float64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :nrow, :z2),Tuple{Int64,Int64,Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int64}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :nrow, :z2),Tuple{Int,Int,Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int64,String}},Function,GroupedDataFrame{DataFrame},Nothing}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int,String}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Colon,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b, :c),Tuple{Int64,Int64,Int64}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Bool,1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Bool,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Bool,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Array{Symbol,1}},Function}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int64,2,Base.OneTo{Int64},Tuple{}}}}}) - Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int64}},Any}) + Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}}}) + Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Any}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x12345678901234567890,),Tuple{String}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -3509,21 +3514,21 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Any,Any}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Function}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int64,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int64,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int64,1}},false}}}}) + Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(Base.vect),DataFrames.UserColOrdering{Symbol},Vararg{Any,N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int64,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int64}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) Base.precompile(Tuple{Type{DataFrame},BitArray{2},Array{String,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{Array{Int64,1},Int64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int64,1}}}) + Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x, :y),Tuple{Array{Int,1},Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{String,1},Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int64},UnitRange{Int64}},UnitRange{Int64}},Pair{UnitRange{Int64},ByRow{typeof(+)}}}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Pair{UnitRange{Int},ByRow{typeof(+)}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Regex,typeof(Statistics.cor)},Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int64,1},Int64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int64,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int64,1},Array{Int64,1},Array{Int64,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int64}) + Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) + Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int,1},Int}},Type{DataFrame}}) + Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) + Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int}) Base.precompile(Tuple{typeof(vcat),DataFrame,DataFrame,DataFrame,Vararg{DataFrame,N} where N}) end return nothing From 07038c62fe08c76eb04d3b9fcfdeaa96218a449c Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 20:02:18 +0100 Subject: [PATCH 10/17] Remove materialize! again --- src/other/precompile.jl | 3 --- 1 file changed, 3 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index a276e19d94..d4fae659ee 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -99,7 +99,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{String,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Colon}) Base.precompile(Tuple{typeof(repeat),DataFrame,Int}) @@ -121,7 +120,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int}}}}}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -146,7 +144,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(last),Symbol}}}) Base.precompile(Tuple{typeof(permutedims),DataFrame,Symbol}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt},Colon}) Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) From a51cbcdae221a23d09a38bea61ad30cf7b0ba34f Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 21:22:29 +0100 Subject: [PATCH 11/17] Drop CategoricalArrays --- src/other/precompile.jl | 316 ---------------------------------------- 1 file changed, 316 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index d4fae659ee..6e8681326f 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -11,7 +11,6 @@ function precompile(all=false) if !all ccall(:jl_generating_output, Cint, ()) == 1 || return nothing - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) @@ -19,17 +18,14 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Type{Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Float64},1}}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.mean)},Vararg{Any,N} where N,)) @@ -54,7 +50,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allcols, :rowlabel, :eltypes, :truncate),Tuple{Bool,Symbol,Bool,Int}},typeof(show),Base.PipeEndpoint,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},All{Tuple{}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end @@ -68,17 +63,14 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Symbol,1}}) Base.precompile(Tuple{typeof(show),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),String}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Char,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.make_unique)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.make_unique),Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Symbol}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int,1}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Int,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Int,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) @@ -97,10 +89,7 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Colon}) Base.precompile(Tuple{typeof(repeat),DataFrame,Int}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end @@ -119,7 +108,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(combine),Function,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -129,7 +117,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(describe),DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int,1}}}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/plain")},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Union{Missing, Array{Float64,2}},1}}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) @@ -149,23 +136,16 @@ function precompile(all=false) Base.precompile(Tuple{typeof(isapprox),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(Statistics.var)}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{String,1},typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) else Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass, :Color),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:second, :first),Tuple{String,Int}}}) @@ -177,7 +157,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Array{Int,1},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int,Int}},InvertedIndex{Int}}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Int}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Between{Int,Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:res,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) @@ -225,7 +204,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(Base.literal_pow),Tuple{Base.RefValue{typeof(^)},DataFrame,Base.RefValue{Val{2}}}}}) isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int},Union{Function, Type},Tuple{Array{UnitRange{Int},1}}}) - Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{T,1,UInt32,V,C,Union{}} where C where V where T,1},Symbol}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},typeof(-)}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Array{String,1}}) Base.precompile(Tuple{typeof(filter!),Pair{Array{Symbol,1},typeof(==)},DataFrame}) @@ -234,10 +212,8 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Float64,2}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{InvertedIndex{Int}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Number},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Mass),Tuple{Array{String,1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Colon}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}},Array{Int,2}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:d1,),Tuple{Array{Int,1}}},Type{DataFrame}}) @@ -262,10 +238,7 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Base.RefValue{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}},Type{Ref},GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{String,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt8,Bool,CategoricalArrays.CategoricalValue{Bool,UInt8},Union{}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, DataFrame},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int},All{Tuple{}}}) @@ -283,7 +256,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(hash),DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int}}, Tuple{Symbol,Int}},1}}) @@ -292,7 +264,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_right,),Tuple{Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,Base.RefValue{Float64},Union{Function, Type},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(view),DataFrame,typeof(!),All{Tuple{}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Any,1},Symbol,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Symbol,)) @@ -311,13 +282,9 @@ function precompile(all=false) Base.precompile(Tuple{Type{DataFrame},Array{Union{Missing, Float64},2}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Union{Missing, Number},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :id),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Float64,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :id2_1),NTuple{4,UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int},Between{Int,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x, :z),Tuple{UnitRange{Int},UnitRange{Int},Int}},Type{DataFrame}}) @@ -326,11 +293,7 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{4,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) Base.precompile(Tuple{typeof(stack),DataFrame,Regex,Regex}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, UInt},1},Colon}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Pair{_A,typeof(sum)} where _A,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left, :_leftX),Tuple{Int,String}},Type{DataFrame}}) @@ -350,7 +313,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_identity,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int,Int},Int}},DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int,UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{NamedTuple{(:a, :b),Tuple{Symbol,Int}}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(select),DataFrame,Any,Any,Vararg{Any,N} where N}) @@ -364,7 +326,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) Base.precompile(Tuple{typeof(rename),Function,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Nothing}},Tuple{Array{Nothing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(push!),DataFrame,Dict{Symbol,Bool}}) @@ -409,7 +370,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,String}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),Type{Ref},Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{9,DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Symbol,1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(append!),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Bool,1}},Int,Tuple{Symbol}}) @@ -423,13 +383,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}},Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Int,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int,1},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y, :x),Tuple{UnitRange{Int},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}) @@ -438,13 +395,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Regex}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(getindex),Tuple{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Array{Int,1},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Any,1},Array{Int,1}},Tuple{Array{Any,1},Array{Int,1}}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{NamedTuple{(),Tuple{}},1}}}) - Base.precompile(Tuple{typeof(DataFrames._add_col_check_copy),DataFrame,DataFrame,Int,Bool,Any,Symbol,CategoricalArrays.CategoricalArray{Bool,1,UInt32,Bool,CategoricalArrays.CategoricalValue{Bool,UInt32},Union{}}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Any,1}},Val{false},Array{Int,1},Bool,Bool}) @@ -455,7 +409,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int}},1}}},Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int}},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Int, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:c_sum,),Tuple{Int}},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) @@ -463,7 +416,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, String},1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{DataFrame}}}) Base.precompile(Tuple{typeof(groupby),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:g,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}},Tuple{Array{NamedTuple{(:g,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},1}},Int,Int,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:g,),Tuple{Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Array{Int,1}}) @@ -476,21 +428,15 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:p, :q),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrameRow{DataFrame,DataFrames.Index},1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{typeof(nrow),1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a_function, :x1, :x2, :p, :q, :s, :t, :k, :l, :z),Tuple{Array{Array{Int,1},1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{Int,1},Array{NamedTuple{(:s, :t),Tuple{Int,Int}},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(minimum),Symbol}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Union{Missing, Integer},1},Colon}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Any,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Function,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},String}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :x1_function),Tuple{Array{Int,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int}},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,UnionAll}}) @@ -500,7 +446,6 @@ function precompile(all=false) Base.precompile(Tuple{ByRow{typeof(minmax)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :renamecols),Tuple{Array{Any,1},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{String,Union{Missing, Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Int,1},Array{String,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{DataFrame,1}}}) @@ -516,7 +461,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(completecases),DataFrame,Array{Bool,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},0,Array{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},1},Tuple{Int},true},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Any}) @@ -534,8 +478,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Irrational{:π}, Missing},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Regex,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end @@ -559,16 +501,13 @@ function precompile(all=false) Base.precompile(Tuple{typeof(==),DataFrames.RepeatedVector{Int},DataFrames.RepeatedVector{Int}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Int},1}},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:y, :z),Tuple{Array{Float64,1},Int}},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Mass),Tuple{Array{Union{Missing, String},1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Any,1},Array{Int,1}},Tuple{Array{Any,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :rowlabel, :summary, :eltypes, :truncate),Tuple{Bool,Bool,Symbol,Bool,Bool,Int}},typeof(show),Base.PipeEndpoint,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :keepkeys, :ungroup, :renamecols),NTuple{4,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(sum)},Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},Int}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int},UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int},1}}},Tuple{Array{Dict{Symbol,Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) @@ -585,9 +524,7 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique, :copycols),Tuple{Bool,Bool}},typeof(DataFrames.hcat!),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_y_function),Tuple{Array{Int,1},Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select),GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},Bool,Bool,Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :x),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Val{false},Array{Int,1}}) @@ -616,14 +553,10 @@ function precompile(all=false) end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{Symbol,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{UnitRange{Int},ByRow{typeof(+)}}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Type{Int}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Missing,1},Array{Union{Missing, Real},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean, :std, :min, :q25, :median, :q75, :max, :nunique, :nmissing, :first, :last, :eltype),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{Any,1},Array{Union{Nothing, Int},1},Array{Int,1},Array{Any,1},Array{Any,1},Array{Type,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Int,Between{Int,Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Union{Missing, Float64},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:y, :z),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Float64,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) @@ -649,12 +582,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Tuple{Int},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:sum, :n, :mean),Tuple{Array{Int,1},Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Dict{Any,Int},UnitRange{Int}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true},SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(unique),DataFrame,Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Symbol},1}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:col,),Tuple{Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{Pair{Any,Int},1}}) @@ -665,7 +596,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{Real,2},Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,Bool}) - Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},1},Array{Symbol,1}}) isdefined(DataFrames, Symbol("#134#135")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#134#135")),SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int,1}}},Val{false},Nothing}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) @@ -686,7 +616,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Any,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :y),Tuple{Int,Missing}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(unique),DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_right),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{Int,2},Union{Function, Type},Tuple{Array{Int,1}}}) @@ -740,7 +669,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Int},1}}) Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int},Cols{Tuple{Colon}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int,1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x3, :x2, :x4),Tuple{Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int,1},Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) @@ -753,7 +681,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid),Tuple{UnitRange{Int},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Array{Float64,2},1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (DataFrame,Any,))) catch missing end if !ismissing(fbody) @@ -772,7 +699,6 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Int,String},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Int,Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) @@ -780,8 +706,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a,),Tuple{Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1, :x2),Tuple{Array{Int,1},Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},Pair{typeof(+),Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Int,1}}}}) Base.precompile(Tuple{typeof(vcat),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),DataFrameRow{DataFrame,DataFrames.Index},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(==),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},DataFrame}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,DataFrame}}}}}) @@ -789,7 +713,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(sum)}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:xmax,),Tuple{Float64}},Tuple{Array{Float64,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :v1),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x1, :x2, :x3),NTuple{4,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Float64,1},Colon,Int}) @@ -827,20 +750,16 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},NTuple{4,Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) Base.precompile(Tuple{typeof(==),DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{UnitRange{Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(delete!),DataFrame,InvertedIndex{InvertedIndices.TupleVector{Tuple{Int,Int}}}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},BitArray{1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :Key, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},typeof(!),Cols{Tuple{Colon}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :g_function),Tuple{Array{Int,1},Array{Array{Int,1},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair),Pair,Bool,DataFrame,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1}}) Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{Int}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Float64,1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),NTuple{4,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x1_first, :x2_first, :x3_first, :x4_first),Tuple{Array{Int,1},Int,Int,Missing,Missing}},Type{DataFrame}}) @@ -851,13 +770,10 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c, :a, :b),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Complex{Int},1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Function,Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int,1}}},DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},InvertedIndex{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int,Pair{Symbol,Int}}) Base.precompile(Tuple{Type{DataFrame},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Float64}}}) @@ -952,13 +868,11 @@ function precompile(all=false) Base.precompile(Tuple{typeof(unstack),DataFrame,String,String,String}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b),Tuple{Int,Int}},Between{Int,Int}}) Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) - Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Real,1}}) Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Cols{Tuple{String}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select!)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(select!),GroupedDataFrame{DataFrame},Symbol}) Base.precompile(Tuple{typeof(filter),Pair{Array{Symbol,1},typeof(==)},DataFrame}) Base.precompile(Tuple{Type{Tuple},Array{DataFrame,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{String,Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,typeof(identity)}}) @@ -983,7 +897,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},typeof(!),Symbol}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Int},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:y,),Tuple{Array{Int,1}}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, UnitRange{Int}},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(select),DataFrame,Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) @@ -994,7 +907,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int,1},Array{Int,1}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Any,1}},Vararg{Pair{Symbol,Array{Any,1}},N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1},Array{Union{Missing, String},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int,Int}) Base.precompile(Tuple{typeof(DataFrames.repeat_lengths!),Array{Int,1},Array{Int,1},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,Int,Union{Function, Type},NTuple{4,Array{Int,1}}}) @@ -1003,7 +915,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Any,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,String},1}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) @@ -1015,9 +926,7 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),DataFrame,Int,Array{Any,1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Pair{Symbol,Base.RefValue{Int}},Pair{Symbol,Array{Int,0}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Int}) Base.precompile(Tuple{typeof(names),GroupedDataFrame{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}}},InvertedIndex{Symbol}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Function,UnitRange{Int}}) @@ -1043,15 +952,11 @@ function precompile(all=false) Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(filter),Pair{Array{Int,1},typeof(!=)},DataFrame}) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},MIME{Symbol("text/html")},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Array{Int,1}}}) Base.precompile(Tuple{typeof(transform),Function,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.get_stats),CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Symbol,1}}) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},InvertedIndex{Symbol}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{typeof(identity),Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(length),Symbol}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Array{Int,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.manipulate, (DataFrame,Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,typeof(DataFrames.manipulate),DataFrame,Any,Vararg{Any,N} where N,)) @@ -1062,7 +967,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_eltype,),Tuple{UnionAll}},typeof(stack),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(getindex),DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Float64,1},Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(stack),DataFrame,Symbol,Array{Any,1}}) @@ -1101,7 +1005,6 @@ function precompile(all=false) Base.precompile(fbody, (Function,typeof(describe),DataFrame,)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),DataFrame,Symbol}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},Pair{typeof(+),String}}}) @@ -1128,7 +1031,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{StepRange{Int,Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,Any}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Between{Int,Int}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) @@ -1148,7 +1050,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{UnitRange{Int},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},DataFrame}) Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Array{Float64,1}},1}}) @@ -1159,7 +1060,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Base.OneTo{Int},Function}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Int}},Tuple{Array{Union{Missing, Int},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(copy),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}}}) @@ -1170,7 +1070,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x),Tuple{Array{Int,1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(append!),DataFrame,Dict{Symbol,AbstractArray{T,1} where T}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Array{NamedTuple{(:a, :b),Tuple{Int,Symbol}},1}}) @@ -1186,7 +1085,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Symbol,Union{Missing, Int}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{Float64,1}},Tuple{Array{Int,1},Array{Float64,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(leftjoin),DataFrame,DataFrame}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Cols{Tuple{Colon}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -1217,11 +1115,9 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :matchmissing),Tuple{Array{Symbol,1},Symbol}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/latex")},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Base.RefValue{Int},Array{Int,0}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1},Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Any,1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Array{Int,1},1},Array{Array{Int,1},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Bool,1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{String,1}},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) @@ -1230,8 +1126,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:x, :y),Tuple{Array{Int,1},Int}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Missing,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int}},DataFrames.StackedVector{Union{Missing, Int}}}},Tuple{Tuple{Base.OneTo{Int},Int},Tuple{Base.OneTo{Int},Int}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) @@ -1240,7 +1134,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Char,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},DataFrame,InvertedIndex{Int},All{Tuple{}}}) Base.precompile(Tuple{typeof(push!),DataFrame,Array{Int,2}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Symbol}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,InvertedIndex{String}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,UnitRange{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{Array{Int,1}}},Type{DataFrame}}) @@ -1271,7 +1164,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,String}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Float64,2},1}}) Base.precompile(Tuple{typeof(iterate),Array{Pair{AsTable,Pair{ByRow{typeof(identity)},Symbol}},1}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c, :d),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{UnitRange{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) @@ -1288,9 +1180,7 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,typeof(select),DataFrame,Any,Vararg{Any,N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Float64}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(first)},1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) @@ -1301,7 +1191,6 @@ function precompile(all=false) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Regex},InvertedIndex{InvertedIndex{Regex}},)) end end - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,UnitRange{Int}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},InvertedIndex{Regex}}) @@ -1312,14 +1201,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Real,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :sid, :SID),Tuple{UnitRange{Int},Array{String,1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:b_function, :c_identity),Tuple{Array{Float64,1},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Float64,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Array{T,1} where T,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.RefValue{AsTable},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{Pair},Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{ByRow},Tuple{Array{Function,1}}},Array{Symbol,1}}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g,),Tuple{UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Colon,Colon}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}}},Tuple{Array{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},1}},Int,Int,Type{Ref},GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz, :xzz),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{typeof(DataFrames.ourshow),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},CategoricalArrays.CategoricalValue{String,UInt32},Int}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{InvertedIndex{InvertedIndex{Regex}}},InvertedIndex{InvertedIndex{InvertedIndex{InvertedIndex{Regex}}}},)) @@ -1328,7 +1215,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Pair{String,Pair{typeof(sum),Symbol}},1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},All{Tuple{}}}) - Base.precompile(Tuple{Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Any,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) @@ -1348,7 +1234,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{Any,1}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,String,Int}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}}}) @@ -1364,7 +1249,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :z),Tuple{Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:h, :z, :x3, :x2),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Array{Float64,1},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{typeof(nrow),Symbol},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :a, :b),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) @@ -1382,9 +1266,7 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_var),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{String}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Int}) - Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{Regex}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.unstack)),NamedTuple{(:renamecols,),Tuple{typeof(uppercase)}},typeof(unstack),DataFrame,Array{Symbol,1},Symbol,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :fid_1),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum,),Tuple{Array{Int,1}}},Type{DataFrame}}) @@ -1439,14 +1321,11 @@ function precompile(all=false) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) Base.precompile(Tuple{typeof(merge),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:c, :d),Tuple{Int,Int}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Symbol,Int,Int}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:b_sum,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Symbol}}) @@ -1456,9 +1335,7 @@ function precompile(all=false) Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Int,Regex}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int},Cols{Tuple{Colon}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :a_b_c_sum),Tuple{UnitRange{Int},UnitRange{Int},UnitRange{Int},Array{Int,1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) let fbody = try __lookup_kwbody__(which(DataFrames.transform, (GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Bool,Bool,Bool,typeof(transform),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Vararg{Any,N} where N,)) @@ -1470,22 +1347,17 @@ function precompile(all=false) Base.precompile(Tuple{typeof(IteratorInterfaceExtensions.getiterator),DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Int,Pair{typeof(sum),Symbol}},Pair{Int,Pair{typeof(sum),Symbol}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity),Tuple{Array{String,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G, :H),Tuple{UnitRange{Int},StepRange{Char,Int},Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int},1},Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:t,),Tuple{Int}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Int,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,1}}) Base.precompile(Tuple{Type{DataFrame},Array{Pair{String,AbstractArray{Int,1}},1}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(+),Tuple{SubArray{Float64,0,Array{Float64,1},Tuple{Int},true},SubArray{Float64,1,Array{Float64,1},Tuple{Base.Slice{Base.OneTo{Int}}},true}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}}}) Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int,Int}}}) @@ -1494,15 +1366,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Bool,1},Colon}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Irrational{:π}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},All{Tuple{}},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Missing,String}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,StepRange{Int,Int},Union{Function, Type},Tuple{Array{UnitRange{Int},1}}}) Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,String}}) Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Symbol},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Base.OneTo{Int},Int,Int}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Type{Tuple},DataFrames.GroupKey{GroupedDataFrame{DataFrame}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},UnitRange{Int},Symbol}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) @@ -1511,7 +1380,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{Int},InvertedIndex{Symbol}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) Base.precompile(Tuple{typeof(dropmissing!),DataFrame,Regex}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(select!),DataFrame,Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Type{DataFrame},Array{Any,2},Symbol}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xmax,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Nothing}) @@ -1519,14 +1387,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{String,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Integer,1},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Array{Int,1},Function}) Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) @@ -1537,7 +1403,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{String,1}}}) Base.precompile(Tuple{typeof(sort),DataFrame,Function}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,typeof(sum)},1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Int},Between{Int,Int}}) @@ -1547,20 +1412,15 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :copycols),Tuple{Int,Array{Any,1},Bool}},Type{DataFrame}}) Base.precompile(Tuple{typeof(unique),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{Symbol,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Pair{Symbol,Pair{typeof(parent),Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Complex{Int},Union{Function, Type},Tuple{Array{Complex{Int},1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Symbol,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Function},1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Missing,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) Base.precompile(Tuple{typeof(getindex),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,Int,Symbol}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Complex{Float64}},1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Bool,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{String,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) @@ -1583,12 +1443,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int,1},Array{Int,1},Bool}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(values),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},Type{Array{Float64,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),Function,GroupedDataFrame{DataFrame}}) @@ -1606,13 +1464,11 @@ function precompile(all=false) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/csv")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigInt}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},Union{Function, Type},Tuple{Array{Int,1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Type{DataFrame},Array{Pair{SubString{String},Array{Int,1}},1}}) Base.precompile(Tuple{typeof(DataFrames.get_stats),Array{Any,1},Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x1,),Tuple{Array{Any,1}}},Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) @@ -1621,16 +1477,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),DataFrameRow{DataFrame,DataFrames.Index},Between{Int,Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Array{Int,1},Function}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Symbol,Int}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(coalesce),Tuple{DataFrame,Base.RefValue{Nothing}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Float64,String}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :x),Tuple{Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Int}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Colon}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Union{Function, Type},Tuple{Array{Bool,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Pair{String,CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing}},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{Array{String,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:v,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) @@ -1659,7 +1511,6 @@ function precompile(all=false) Base.precompile(Tuple{Type{DataFrame},Dict{Any,Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},UnitRange{Int},Int}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{Symbol,1},Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},DataFrame}) @@ -1670,7 +1521,6 @@ function precompile(all=false) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,InvertedIndex{Int},InvertedIndex{InvertedIndex{Int}},)) end end - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,String,Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{Type{DataFrame},Tuple{Pair{Symbol,UnitRange{Int}},Pair{Symbol,Array{Int,1}}}}) Base.precompile(Tuple{typeof(flatten),DataFrame,Cols{Tuple{Colon}}}) @@ -1719,7 +1569,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Symbol}) Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame},Function,Function,Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Float64,1},Array{Union{Missing, Real},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Base.Broadcast.Broadcasted{Base.Broadcast.Style{Tuple},Nothing,typeof(+),Tuple{Tuple{Int,Int},Int}}}) @@ -1727,12 +1576,9 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g1, :x1, :g2, :x2),Tuple{Array{Int,1},UnitRange{Int},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.std),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{String,1}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},Array{String,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Missing,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:p, :q),Tuple{Array{Float64,1},Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Union{Missing, Float64},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Tuple{Symbol},Val{false}}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Any,1}}) @@ -1740,7 +1586,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{UInt},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int, Int8},1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int,String,Int}}) Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Symbol,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(findall),Function,DataFrames.DataFrameColumns{DataFrame}}) @@ -1748,9 +1593,7 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),Tuple{Int},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e, :x, :y),Tuple{Array{String,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),Tuple{Symbol}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, Int},UInt8,1,Array{UInt8,1}},Array{Bool,1},Array{Union{Missing, Bool},1},Array{Union{Missing, Bool},1},Array{Float64,1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{String,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int,Int,Int},1},Union{Function, Type},Tuple{Array{Int,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.transform!)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(transform!),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(+)},Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int},Between{Int,Int}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}},Int}) @@ -1761,20 +1604,17 @@ function precompile(all=false) end end Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C,),Tuple{UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) Base.precompile(Tuple{typeof(hash),DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(view),DataFrame,Function,Array{Union{Missing, Int},1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Type{DataFrames.SubIndex},DataFrames.Index,Cols{Tuple{Colon}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},NamedTuple{(),Tuple{}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Symbol,InvertedIndex{Symbol},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Symbol,InvertedIndex{Symbol},)) end end - Base.precompile(Tuple{typeof(categorical!),DataFrame,All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,BigFloat,Union{Function, Type},Tuple{Array{BigFloat,1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Symbol}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Any,1}}}) @@ -1787,7 +1627,6 @@ function precompile(all=false) Base.precompile(fbody, (Symbol,Symbol,Bool,Type{T} where T,typeof(stack),DataFrame,Array{Any,1},Array{Symbol,1},)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:xyz,),Tuple{Tuple{Int}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Int,1}}) Base.precompile(Tuple{typeof(unique),DataFrame,Array{String,1}}) @@ -1798,11 +1637,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{InvertedIndex{Symbol},ByRow{typeof(/)}}}) Base.precompile(Tuple{typeof(transform),DataFrame,Any,Any}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}},Union{Function, Type},Tuple{Array{Int,1}}}) - Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int,1},Array{Bool,1},Int}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Column,),Tuple{Array{Symbol,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(sort),DataFrame,All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:b,),Tuple{Array{Int,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Nothing,Bool,Nothing}) @@ -1816,8 +1653,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},typeof(!),Between{Int,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{String,1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{typeof(sum),Symbol}},1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, String},1}},Tuple{Array{Union{Missing, String},1}}}) @@ -1828,20 +1663,17 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{Array{T,1} where T},DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Function,Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Type{DataFrame},Pair{String,Array{Float64,1}},Vararg{Pair{String,Array{Float64,1}},N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Rational{Int},1}}}) Base.precompile(Tuple{typeof(push!),DataFrame,NamedTuple{(:a, :b),Tuple{Int,Bool}}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :b_1),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function, :y_function),Tuple{Array{Tuple{Int},1},Array{Tuple{Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job, :_left),Tuple{Array{Int,1},Array{String,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Symbol}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c,),Tuple{Missing}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Union{Missing, Int},1},Array{String,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) @@ -1858,7 +1690,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),UnitRange{Int},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Array{Int,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Function,GroupedDataFrame{DataFrame},Nothing}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{Array{String,1},typeof(+)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.std),Symbol}}}) @@ -1869,14 +1700,12 @@ function precompile(all=false) Base.precompile(Tuple{ByRow{typeof(+)},SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Int}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{},Val{true}}) Base.precompile(Tuple{typeof(in),NamedTuple{(:a, :b),Tuple{Symbol,Int}},DataFrames.GroupKeys{GroupedDataFrame{DataFrame}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{BitArray{1},BitArray{1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(names),DataFrame,Type{T} where T}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a,),T} where T<:Tuple,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a,),Tuple{Int}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Irrational{:π}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Irrational{:π},1}},Val{false},Array{Int,1}}) @@ -1891,17 +1720,13 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Irrational{:π},Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Between{Symbol,Symbol},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Float64},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Real,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,typeof(identity)}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:c_sum,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{typeof(nrow),1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :copycols),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},Bool}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(Statistics.var, (SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int,1}},false},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Bool,Nothing,Function,typeof(Statistics.var),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int,1}},false},)) @@ -1996,21 +1821,17 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Union{Missing, String},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3),Tuple{Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{InvertedIndex{Regex},Regex}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Symbol,1},Array{String,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b),Tuple{Int,Int}},Int,Between{Int,Int}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Char},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(:x,),Tuple{Array{Int,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},Int,Cols{Tuple{Colon}}}) Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Float32,Int}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:variable_name, :value_name, :view),Tuple{String,String,Bool}},typeof(stack),DataFrame,Array{String,1},Array{String,1}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,StepRange{Int,Int}},StepRange{Int,Int},Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{5,DataFrame}}) @@ -2021,7 +1842,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(+),Tuple{Base.Broadcast.Extruded{Array{Float64,1},Tuple{Bool},Tuple{Int}},Base.Broadcast.Extruded{Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}},Tuple{Bool,Bool},Tuple{Int,Int}}}},CartesianIndex{2}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Int,DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}},Int,Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :id2, :variable, :value),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, String},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view,),Tuple{Bool}},typeof(stack),DataFrame}) @@ -2033,13 +1853,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(append!),DataFrame,Dict{String,Int}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),String,Int,Int}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :ID2, :y),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Real},1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{12,DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Int,String}},Type{DataFrame}}) @@ -2072,7 +1888,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Rational{Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name),Tuple{Array{Union{Missing, Int},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Base.OneTo{Int}}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(minmax)},Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int,Int}},Function,GroupedDataFrame{DataFrame},Nothing}) @@ -2092,7 +1907,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Function,Array{Union{Missing, Int},1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{Int,1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Any,1}}) - Base.precompile(Tuple{typeof(categorical),DataFrame}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int}}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,All{Tuple{}},))) catch missing end if !ismissing(fbody) @@ -2105,7 +1919,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Missing}}}) Base.precompile(Tuple{typeof(transform),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Pair{Array{Any,1},Pair{ByRow{typeof(rand)},Symbol}},Bool}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._show)),NamedTuple{(:rowid,),Tuple{Int}},typeof(DataFrames._show),Base.TTY,MIME{Symbol("text/latex")},DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Symbol},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) @@ -2114,7 +1927,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Any,1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Number,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrames.DataFrameColumns{DataFrame},Base.RefValue{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:c_function,),Tuple{Array{Float64,1}}},Tuple{Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Int,1}}}}) Base.precompile(Tuple{Type{Array{T,2} where T},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) @@ -2131,7 +1943,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{String,Array{String,1}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(categorical),DataFrame,InvertedIndex{UnitRange{Int}}}) Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Int,1},Colon,Int}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Rational{Int},1},Array{Real,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :value, :id),Tuple{Array{String,1},Array{Missing,1},Array{Int,1}}},Type{DataFrame}}) @@ -2142,13 +1953,11 @@ function precompile(all=false) Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{String,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat)),NamedTuple{(:inner, :outer),Tuple{Int,Int}},typeof(repeat),DataFrame}) - Base.precompile(Tuple{typeof(categorical),DataFrame,All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._filter_helper),Function,Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,B} where B,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d, :e, :f, :g, :h),Tuple{Array{Float64,1},Array{Float64,1},Array{Int,1},Array{Union{Missing, Float64},1},Array{String,1},Array{Symbol,1},Array{Union{Missing, String},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Union{Missing, Int}},DataFrames.StackedVector{Union{Missing, Int}}}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{Symbol,1},Array{Symbol,1},))) catch missing end if !ismissing(fbody) @@ -2157,7 +1966,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(combine),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Any,Any}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(length),Nothing},Array{Int,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat!)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(DataFrames.hcat!),DataFrame,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:keepkeys, :ungroup),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) let fbody = try __lookup_kwbody__(which(DataFrames.select, (SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Any,Vararg{Any,N} where N,))) catch missing end if !ismissing(fbody) @@ -2165,7 +1973,6 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{NamedTuple{(:a, :b),Tuple{Symbol,Int}},1},NamedTuple{(:a, :b),Tuple{Symbol,Int}},Base.Generator{DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},Type{NamedTuple}},Tuple{Base.OneTo{Int},Int}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Regex}}) Base.precompile(Tuple{typeof(copy),DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) @@ -2195,8 +2002,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Tuple{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{Array{Int,1},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Real,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{Int,UInt32},1,CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Float64,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),NTuple{4,Array{Float64,1}},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :x4),Tuple{Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Array{Float64,1},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Type{DataFrame}}) @@ -2206,12 +2011,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Array{Bool,1}}}) Base.precompile(Tuple{Type{DataFrame},Array{Float64,2},Symbol}) Base.precompile(Tuple{typeof(isless),DataFrameRow{DataFrame,DataFrames.Index},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Array{Symbol,1}}}}) Base.precompile(Tuple{typeof(stack),DataFrame,InvertedIndex{Array{Symbol,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:variable, :mean),Tuple{Array{Symbol,1},Array{Union{Nothing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,BitArray{1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.mul_prod),Function,Nothing,Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, BigFloat},1}}}) let fbody = try __lookup_kwbody__(which(DataFrames.unstack, (DataFrame,Symbol,Symbol,Symbol,))) catch missing end if !ismissing(fbody) @@ -2222,12 +2025,10 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2_left, :x_left, :ID2_right, :x_right),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(collect),Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Regex}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Char,1,UInt32,Char,CategoricalArrays.CategoricalValue{Char,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),DataFrames.RowGroupDict{DataFrame},DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :x),Tuple{Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, Int},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(Tables.columntable),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(map),Function,DataFrames.DataFrameColumns{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Int,1}},Val{false},Nothing}) @@ -2237,7 +2038,6 @@ function precompile(all=false) isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Irrational{:π},Int,Int}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{String,typeof(last)},1},Symbol}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,Int,typeof(+)}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) @@ -2257,16 +2057,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},Tuple{}}) Base.precompile(Tuple{typeof(repeat),DataFrame,Bool}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,UnitRange{Int}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Float64,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Int,2},Union{Function, Type},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,Symbol}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1}},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:x, :y),Tuple{Array{Int,1},Int}},Union{Function, Type},Tuple{Array{Int,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,DataFrame,Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}},Array{String,1}}) Base.precompile(Tuple{typeof(unique),DataFrame,InvertedIndex{Symbol}}) @@ -2278,22 +2074,18 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrame,Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}}}) Base.precompile(Tuple{Type{DataFrame},Array{Array{Bool,1},1},Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x2, :y),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Int}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{String,1},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,InvertedIndex{Int},InvertedIndex{Int}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Function}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Between{Int,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Fish, :_MASS_, :_COLOR_),Tuple{Array{String,1},Array{String,1},Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Tuple{Float64,Float64},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},Array{Int,1}},DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_mean_skipmissing),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Array{Symbol,1},Bool,Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1},Union{Function, Type},Tuple{Array{Int,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{Int,Int}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Regex,InvertedIndex{Regex},))) catch missing end if !ismissing(fbody) @@ -2301,7 +2093,6 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1}}},Tuple{Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}},Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Complex{Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.hcat)),NamedTuple{(:makeunique,),Tuple{Bool}},typeof(hcat),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}) @@ -2311,22 +2102,18 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Bool,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(maximum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},UnitRange{Int},Colon}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.collect_to_with_first!),Array{DataType,1},Type{T} where T,Base.Generator{DataFrames.DataFrameColumns{DataFrame},typeof(typeof)},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c),Tuple{UnitRange{Int},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) Base.precompile(Tuple{Type{Array{Any,N} where N},Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}) Base.precompile(Tuple{ByRow{typeof(+)},Array{Float64,1},Vararg{Array{Float64,1},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :renamecols, :indicator),Tuple{Array{Any,1},Pair{String,String},Symbol}},typeof(leftjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{AbstractArray{T,1} where T,1},Array{SubString{String},1}}) Base.precompile(Tuple{typeof(push!),DataFrame,Tuple{Int,String}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Any,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Float64},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{Array{Any,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Type{Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Int,1},Array{Float64,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{5,Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,UnitRange{Int},Union{Function, Type},Tuple{Array{Union{Missing, UnitRange{Int}},1}}}) @@ -2370,7 +2157,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid, :id_1),Tuple{Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Number,1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Tuple{Int,Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(semijoin),DataFrame,DataFrame}) @@ -2389,7 +2175,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Rational{Int}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{BigFloat}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, BigFloat},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{Symbol,Pair{Function,Symbol}},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.describe)),NamedTuple{(:cols,),Tuple{InvertedIndex{String}}},typeof(describe),DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(min),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) @@ -2408,13 +2193,11 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{String,String}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Job),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, String},1}}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),Array{Union{Missing, String},1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1, :x2),Tuple{SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Float64,1,Array{Float64,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Function,GroupedDataFrame{DataFrame},Nothing,Val{true},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(push!),DataFrame,Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left, :Job, :_left_1, :_left_2),Tuple{Array{Int,1},Array{Union{Missing, String},1},Array{Union{Missing, Int},1},Array{Union{Missing, String},1},Array{Union{Missing, Int},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},BigInt,Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:c,),Tuple{Int}}}) @@ -2450,8 +2233,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),DataFrame,Function,Pair{Array{Symbol,1},typeof(+)},Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.stack)),NamedTuple{(:view, :variable_eltype),Tuple{Bool,DataType}},typeof(stack),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{typeof(DataFrames.hashrows),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,Symbol,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Bool}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Colon}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a1, :a2, :b1, :b2, :c1, :c2),Tuple{UnitRange{Int},Array{Union{Missing, Int},1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Array{Union{Missing, Float64},1},StepRange{Char,Int},Array{Union{Missing, Char},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Base.OneTo{Int}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(identity),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Int}) @@ -2461,7 +2242,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Base.OneTo{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :id, :y, :z),Tuple{Array{Float64,1},Array{Int,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(==),GroupedDataFrame{DataFrame},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(sum),Symbol}},Pair{Symbol,Pair{typeof(sum),Symbol}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(semijoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Float64,Missing}},Type{DataFrame}}) @@ -2469,7 +2249,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Union{Missing, Int},1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},Array{Int,1},GroupedDataFrame{DataFrame},Function,Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{String}},Tuple{Array{String,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:ungroup,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) @@ -2488,7 +2267,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Base.OneTo{Int},Function}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Int,Bool}},typeof(repeat!),DataFrame}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Bool,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:y,),Tuple{StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Any,1}}},typeof(outerjoin),DataFrame,DataFrame}) @@ -2507,16 +2285,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(unstack),DataFrame,Int,Int}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},StepRange{Int,Int}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_sum, :g),Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{String,Int}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) isdefined(DataFrames, Symbol("#ft_float#558")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#ft_float#558")),Float32,Int,Int}) Base.precompile(Tuple{typeof(stack),DataFrame,Array{Symbol,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NTuple{4,Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames.append_rows!),NamedTuple{(:x1,),Tuple{Array{Any,1}}},Tuple{Array{Bool,1}},Int,Tuple{Symbol}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) let fbody = try __lookup_kwbody__(which(DataFrames.combine, (GroupedDataFrame{DataFrame},Array{Bool,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,))) catch missing end if !ismissing(fbody) @@ -2533,7 +2307,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,NamedTuple{(:z,),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,Nothing,Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Int,1},Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Array{Symbol,1}}) Base.precompile(Tuple{typeof(rename),DataFrame,Dict{String,Symbol}}) @@ -2541,7 +2314,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Int}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Float64},1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,DataFrame,Union{Function, Type},Tuple{Array{Union{Missing, DataFrame},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Array{Any,1},typeof(identity)}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, Symbol},1,Array{Union{Missing, Symbol},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:x1, :x2),Tuple{Float64,Float64}},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) @@ -2552,9 +2324,7 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{8,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Bool,1}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Int,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(==),Array{DataFrame,1},Array{DataFrame,1}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.RefValue{DataFrameRow{DataFrame,DataFrames.Index}},Array{String,1}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{Int,1},Base.OneTo{Int},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Tuple{Symbol},Val{true}}) @@ -2569,26 +2339,18 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Regex}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Float64,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),ByRow{typeof(sin)},Array{Int,1},UnitRange{Int},UnitRange{Int},GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Int}) - isdefined(DataFrames, Symbol("#67#74")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#67#74")),CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{DataFrame,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{Int,1},Array{Float64,1}},Tuple{Array{Int,1},Array{Float64,1}}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Regex}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Any,1}}}) Base.precompile(Tuple{typeof(map),Function,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:nrow,),Tuple{Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Tuple{Int},1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int,1}}}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int}},true},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Base.OneTo{Int}},true}},Val{true}}) - Base.precompile(Tuple{DataFrames.Aggregate{typeof(first),Nothing},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Array{Symbol,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Bool,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :a_1),Tuple{Array{Union{Missing, Int},1},UnitRange{Int},Array{Union{Missing, Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Array{Float64,2},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{CategoricalArrays.CategoricalArray{Union{Missing, Float64},1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Missing},1},Symbol}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Cols{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Complex{Float64}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Complex{Float64}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{NamedTuple{(:a, :b),T} where T<:Tuple,1}}) @@ -2597,10 +2359,8 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Irrational{:π},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(max),Function,Nothing,Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Symbol,Int,Symbol}}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{InvertedIndex{Int}}}) Base.precompile(Tuple{typeof(Base.to_index),GroupedDataFrame{DataFrame},Dict{Symbol,Missing}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(sum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},MIME{Symbol("text/html")},GroupedDataFrame{DataFrame}}) @@ -2624,7 +2384,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{SubArray{Int,1,Array{Int,2},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(innerjoin),DataFrame,DataFrame}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.categorical!)),NamedTuple{(:compress,),Tuple{Bool}},typeof(categorical!),DataFrame,Array{String,1}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{String,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Nothing,Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{String,1},)) @@ -2643,7 +2402,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{String,Pair{typeof(identity),Symbol}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Regex,InvertedIndex{Regex}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Float64,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{Pair{_A,typeof(sum)} where _A,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.rightjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(rightjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) @@ -2654,7 +2412,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),DataFrameRow{DataFrame,DataFrames.Index},UnitRange{Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Union{Missing, Float64},1},Array{Any,1}}) - Base.precompile(Tuple{Type{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) isdefined(DataFrames, Symbol("#395#396")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#395#396")),Pair{AsTable,Pair{ByRow{typeof(identity)},DataType}}}) Base.precompile(Tuple{typeof(DataFrames.printtable),Base.GenericIOBuffer{Array{UInt8,1}},DataFrame}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(Statistics.mean),Symbol}}}) @@ -2701,7 +2458,6 @@ function precompile(all=false) Base.precompile(fbody, (Function,typeof(Statistics.mean),SubArray{DataFrame,1,Array{DataFrame,1},Tuple{Array{Int,1}},false},)) end end - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Int,Int,String}}}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Any,1},1}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}}}) @@ -2716,19 +2472,16 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Colon}) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},Function}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:function,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),NTuple{5,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(rename),DataFrame,Array{Pair{String,Symbol},1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1},Array{Int,1}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Char,1},Array{Float64,1}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._vcat)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(DataFrames._vcat),Array{AbstractDataFrame,1}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Dict{Symbol,Any},1}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, UnitRange{Int}},1}},Int}) Base.precompile(Tuple{typeof(push!),DataFrame,Array{String,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) let fbody = try __lookup_kwbody__(which(DataFrames.stack, (DataFrame,Array{String,1},Array{String,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (String,String,Bool,Type{T} where T,typeof(stack),DataFrame,Array{String,1},Array{String,1},)) @@ -2737,11 +2490,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Array{Float64,2},1}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Bool}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Colon}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Float64}},Tuple{Array{Float64,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x1_x2_cor),Tuple{Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int,Int}},Union{Function, Type},Tuple{Array{NamedTuple{(:a, :b),Tuple{Int,Int}},1}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Int,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :_left),Tuple{Array{Int,1},Array{String,1},Array{Int,1}}},Type{DataFrame}}) @@ -2787,7 +2538,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(groupindices),GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :copycols),Tuple{Array{Int,1},Array{Float64,1},Array{Union{Missing, Int},1},Bool}},Type{DataFrame}}) isdefined(DataFrames, Symbol("#136#137")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#136#137")),Array{NamedTuple{(),Tuple{}},1}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{String,String,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._broadcast_unalias_helper),DataFrame,SubArray{Int,1,Array{Int,1},Tuple{UnitRange{Int}},true},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Int,Bool}) @@ -2798,9 +2548,7 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{BigInt}},Tuple{Array{BigInt,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{BigInt,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},typeof(nrow),Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,Base.Order.Perm{Base.Order.ForwardOrdering,Array{Float64,1}}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Cols{Tuple{}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},typeof(!),InvertedIndex{Int}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.insertcols!)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Union{Function, Type},Tuple{Array{Float64,1}}}) Base.precompile(Tuple{typeof(==),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}}}) @@ -2829,10 +2577,8 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Any,1},Union{Function, Type},Tuple{}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames._combine_prepare)),NamedTuple{(:copycols, :keepkeys, :ungroup, :keeprows, :renamecols),NTuple{5,Bool}},typeof(DataFrames._combine_prepare),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :fid),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.collect_similar),DataFrames.DataFrameRows{DataFrame,DataFrames.Index},Base.Generator{DataFrames.DataFrameRows{DataFrame,DataFrames.Index},typeof(sum)}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Type{SubDataFrame},SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},Colon,Cols{Tuple{Array{Int,1}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Regex,InvertedIndex{Regex}}}}) Base.precompile(Tuple{typeof(repr),MIME{Symbol("text/latex")},DataFrames.DataFrameColumns{DataFrame}}) @@ -2845,11 +2591,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{String}}) Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Union{Missing, Float64},2}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(copyto!),CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},DataFrames.RepeatedVector{CategoricalArrays.CategoricalValue{String,UInt32}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Real,1}},Val{false},Array{Int,1}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Any,1},))) catch missing end if !ismissing(fbody) @@ -2857,12 +2601,9 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Dict{String,Int},UnitRange{Int}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{BigInt,1},Colon}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, String},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}},Val{true}}) - Base.precompile(Tuple{typeof(DataFrames._unstack),DataFrame,Array{Int,1},Int,GroupedDataFrame{DataFrame},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},GroupedDataFrame{DataFrame},Function,Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{Array{Bool,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(iterate),Base.Iterators.Zip{Tuple{DataFrames.StackedVector{Float64},DataFrames.StackedVector{Float64}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{String,1}},Tuple{Array{Int,1},Array{String,1}}}) Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},UnitRange{Int},Colon,Int}) @@ -2870,7 +2611,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{Union{Missing, Int},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(view),DataFrame,Function,Int}) - Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{Int,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Nothing}) Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Array{typeof(nrow),1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) @@ -2890,7 +2630,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(setindex!),DataFrame,DataFrame,InvertedIndex{Int},All{Tuple{}}}) Base.precompile(Tuple{typeof(==),Array{String,1},DataFrames.RepeatedVector{String}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),DataFrame,Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{String,Int,String}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Int},1}},Val{false},Array{Int,1}}) @@ -2903,12 +2642,9 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,AsTable,ByRow{typeof(identity)}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},InvertedIndex{UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.combine)),NamedTuple{(:renamecols,),Tuple{Bool}},typeof(combine),GroupedDataFrame{DataFrame},Pair{Array{Symbol,1},typeof(+)}}) Base.precompile(Tuple{typeof(stack),DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,CategoricalArrays.CategoricalValue{Int,UInt32},Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,UnitRange{Int},Colon}) Base.precompile(Tuple{typeof(setindex!),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Array{Int,2},InvertedIndex{Int},All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{DataFrames.RepeatedVector{Union{Missing, Int}},DataFrames.RepeatedVector{Union{Missing, Int}},DataFrames.RepeatedVector{Union{Missing, String}},Array{Union{Missing, Int},1}},Val{false},Array{Int,1},Bool,Bool}) @@ -2923,7 +2659,6 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Colon,Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(Base.Broadcast.dotview),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Type{T} where T,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{Tuple{Int,Int},1},Union{Function, Type},Tuple{Array{Int,1}}}) @@ -2958,7 +2693,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_append!),Bool,Array{String,1},Array{Missing,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}},Array{typeof(nrow),1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :y),Tuple{Int,String}},Type{DataFrame}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F),NTuple{6,Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(identity),Tuple{DataFrame}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) @@ -2975,7 +2709,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(names),DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{}}}) Base.precompile(Tuple{typeof(rename!),DataFrame,Array{Symbol,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.genkeymap),GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{String}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(permutedims),DataFrame,Int}) @@ -2988,8 +2721,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(filter),Function,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Array{Any,1},Symbol}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Array{Float64,2}},1}},Int}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int,All{Tuple{}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Rational{Int},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :y),Tuple{Array{String,1},Array{Int,1}}},Type{DataFrame}}) @@ -3002,11 +2733,9 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum),Tuple{UnitRange{Int},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.copyto_nonleaf!),Array{Dict{Symbol,Missing},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Base.OneTo{Int},Int,Int}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{Array{Float64,2},SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(*),Tuple{Int,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(sort),DataFrame,Between{Int,Int}}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int,2}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol,Symbol}) @@ -3032,8 +2761,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(view),DataFrame,Int,All{Tuple{}}}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int,Int},InvertedIndex{Int}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Missing,Union{Function, Type},Tuple{Array{Union{Irrational{:π}, Missing},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c11, :c12, :c13, :c21, :c22, :c23, :p11, :p12, :p13, :p21, :p22, :p23, :b1, :b2, :b3, :f1, :f2, :f3, :s1, :s2, :s3),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},Array{Union{Nothing, Int},1},Array{Union{Nothing, Int},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1},Array{Int,1},Array{Union{Nothing, Int},1},Array{Union{Nothing, Int},1},Array{Bool,1},Array{Union{Nothing, Bool},1},Array{Union{Nothing, Bool},1},Array{Float64,1},Array{Union{Nothing, Float64},1},Array{Union{Nothing, Float64},1},Array{String,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:c_sum,),Tuple{Int}},Type{DataFrame}}) Base.precompile(Tuple{typeof(flatten),DataFrame,String}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Irrational{:π}, Missing},1},GroupedDataFrame{DataFrame}}) @@ -3041,17 +2768,14 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.var),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},Regex}) Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Any}) - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Irrational{:π}, Missing},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(isequal),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:ID, :Name, :Job),Tuple{Missing,String,Missing}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{SubArray{Union{Missing, Int},1,Array{Union{Missing, Int},1},Tuple{Base.OneTo{Int}},true}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(completecases),DataFrame,InvertedIndex{Array{Int,1}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(names),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},InvertedIndex{Symbol}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, UInt8},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,typeof(identity)}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Tuple{Array{Int,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{Tuple{Int,Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Array{Union{Missing, String},1}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Type{DataFrame},Array{Array{T,1} where T,1},Symbol}) @@ -3059,14 +2783,11 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.normalize_selection),DataFrames.Index,Array{typeof(nrow),1},Bool}) Base.precompile(Tuple{typeof(setindex!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Int,Int,Int},InvertedIndex{Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Symbol,Pair{Symbol,Pair{typeof(identity),Symbol}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(maximum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Number},1}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x2_identity,),Tuple{Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Tuple{Float64,Float64},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1},Array{Float64,1}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x_function,),Tuple{Array{DataFrameRow{DataFrame,DataFrames.Index},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},UnitRange{Int},Function}) - Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},Tuple{Array{String,1},Array{Char,1},Array{Int,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Pair{String,String}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) @@ -3076,14 +2797,12 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},typeof(nrow),typeof(nrow)}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.reduce)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(reduce),typeof(vcat),NTuple{27,SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,Nothing,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}},Tuple{Array{Union{Missing, Symbol},1},Array{Union{Missing, Symbol},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Symbol,1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{Char,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{Missing}},Tuple{Array{Missing,1}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Int,1},Union{Function, Type},NamedTuple{(:y,),Tuple{Array{Int,1}}}}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Int}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},CategoricalArrays.CategoricalArray{Union{Missing, Int},1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Missing}}}}) Base.precompile(Tuple{typeof(unstack),DataFrame,Symbol,Symbol}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ReverseOrdering{Base.Order.ForwardOrdering},Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Real},1},GroupedDataFrame{DataFrame}}) @@ -3105,11 +2824,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :ID2, :x_1),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},typeof(!),UnitRange{Int}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{Union{Missing, String},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols, :renamecols),Tuple{Bool,Bool}},typeof(select),GroupedDataFrame{DataFrame},Function,Pair{Symbol,Pair{typeof(first),Symbol}},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Real,1}}}) Base.precompile(Tuple{typeof(DataFrames._filter!_helper),DataFrame,typeof(!=),Array{String,1},Vararg{Array{String,1},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{String,1,PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) let fbody = try __lookup_kwbody__(which(sortperm, (DataFrame,Array{Symbol,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Nothing,Function,Function,Bool,Base.Order.ForwardOrdering,typeof(sortperm),DataFrame,Array{Symbol,1},)) @@ -3120,7 +2837,6 @@ function precompile(all=false) Base.precompile(fbody, (Bool,Bool,Bool,typeof(combine),GroupedDataFrame{DataFrame},Pair{typeof(nrow),Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N,)) end end - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b, :c, :d),Tuple{Array{String,1},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Array{Float64,1},CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int},1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(combine),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._add_multicol_res),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{String,1}}},DataFrame,DataFrame,Array{Symbol,1},Base.RefValue{Bool},Any,Array{Int,1},Bool,Type{AsTable}}) @@ -3189,7 +2905,6 @@ function precompile(all=false) end end Base.precompile(Tuple{typeof(append!),Array{Any,1},Array{Pair{String,ByRow{typeof(-)}},1}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Array{Int,1}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},InvertedIndex{Symbol},Vararg{Union{Regex, AbstractString, Function, Signed, Symbol, Unsigned, Pair, AbstractArray{T,1} where T, Type, All, Between, Cols, InvertedIndex},N} where N}) Base.precompile(Tuple{typeof(==),DataFrames.DataFrameRows{SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}}},DataFrames.DataFrameRows{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x2,),Tuple{Array{Bool,1}}},Function,GroupedDataFrame{DataFrame},Nothing}) @@ -3201,12 +2916,10 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,Array{Float64,1},Float64,Int,Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :c),Tuple{Array{Missing,1},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(transform!),DataFrame,Any,Any,Vararg{Any,N} where N}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Array{Any,1},Bool,Pair{Bool,Bool},Pair{Symbol,String}}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Union{Missing, Rational{Int}},1}}}) Base.precompile(Tuple{typeof(view),DataFrame,Int,Between{Int,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :x1),Tuple{Array{Int,1},Array{Tuple{Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Nothing,1},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(coalesce),Tuple{Base.Broadcast.Extruded{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Bool},Tuple{Int}},Base.RefValue{Nothing}}},Int,Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1_last, :x2_last, :x3_last, :x4_last, :x1),Tuple{Int,Int,Int,Int,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),DataFrameRow{DataFrame,DataFrames.Index},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Tuple{Int,Int},1}}},Tuple{Array{Tuple{Int,Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) @@ -3214,11 +2927,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,Type{NamedTuple},Tuple{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{AsTable,Pair{typeof(identity),DataType}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1}},Tuple{Array{Int,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x,),Tuple{CategoricalArrays.CategoricalValue{String,UInt32}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(map),Type{T} where T,DataFrames.GroupKeys{GroupedDataFrame{DataFrame}},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Pair{AsTable,Pair{typeof(identity),DataType}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:copycols,),Tuple{Bool}},Type{DataFrame},Pair{Symbol,Array{Int,1}},Pair{Symbol,Array{Float64,1}}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,Type{Integer}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Array{NamedTuple{(:x, :y),Tuple{Int,Int}},1},1},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(nonunique),DataFrame,Function}) let fbody = try __lookup_kwbody__(which(isapprox, (DataFrame,DataFrame,))) catch missing end @@ -3233,10 +2944,8 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Array{Int,1},1}}},Tuple{Array{Array{Int,1},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:C, :B, :A),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(hcat),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}},DataFrame}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(filter),Function,SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(DataFrames.ourshow),Base.GenericIOBuffer{Array{UInt8,1}},Int32,Int}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(getindex),DataFrames.RepeatedVector{String},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{Int,1},Array{Union{Missing, Int, Int8},1}}) @@ -3255,16 +2964,13 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{UnitRange{Int},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(describe),DataFrame,Symbol}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Bool,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._copyto_helper!),SubArray{Float64,1,Array{Float64,1},Tuple{Base.OneTo{Int}},true},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{2},Tuple{Base.OneTo{Int},Base.OneTo{Int}},typeof(identity),Tuple{Base.Broadcast.Extruded{Base.ReshapedArray{Char,2,StepRange{Char,Int},Tuple{}},Tuple{Bool,Bool},Tuple{Int,Int}}}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{String,String},1}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y),Tuple{Array{Union{Missing, Int},1},UnitRange{Int}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{Array{String,1}},Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p, :q, :r),NTuple{4,Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_astable),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Type{AsTable},Bool,Array{NamedTuple{(:c_sum,),Tuple{Int}},1},Union{Function, Type},Tuple{Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Float64,1}},Tuple{Array{Union{Missing, Int},1}}}) Base.precompile(Tuple{typeof(DataFrames.copyto_widen!),Array{BigInt,1},Array{Any,1}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Rational{Int},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int,String}}}) @@ -3337,12 +3043,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int},1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int,1}},Vararg{Any,N} where N}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Array{String,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Float64,1}},Val{false},Array{Int,1}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C, :D, :E, :F, :G),Tuple{Array{Int,1},Array{String,1},Array{String,1},Array{Union{Missing, Float64},1},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1},Array{Markdown.MD,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Float64,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(view),DataFrame,UnitRange{BigInt},Colon}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) @@ -3374,11 +3077,9 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Symbol,1},Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :C),Tuple{Array{Int,1},Array{Int,1},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b,),Tuple{Array{Int,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(haskey),GroupedDataFrame{DataFrame},NamedTuple{(:a, :c),Tuple{Int,Int}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) Base.precompile(Tuple{typeof(view),DataFrame,Array{Union{Missing, Integer},1},Colon}) - Base.precompile(Tuple{typeof(categorical),DataFrame,String}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :y, :z),Tuple{Array{Int,1},Array{Union{Missing, Int},1},Array{Missing,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},NamedTuple{(:a, :b),Tuple{Symbol,Symbol}}}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Array{Union{Missing, UInt},1},Colon}) @@ -3397,7 +3098,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1}}}}) Base.precompile(Tuple{typeof(dropmissing),DataFrame,Array{Bool,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,2},Union{Function, Type},Tuple{Array{Int,1}}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{String,1,Array{String,1},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :a),Tuple{Array{Char,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{ByRow{typeof(-)},SubArray{Int,1,Array{Int,1},Tuple{Base.OneTo{Int}},true}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{String,1}}) @@ -3416,7 +3116,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(floor),Tuple{Base.RefValue{Type{Int}},Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(/),Tuple{DataFrame,Tuple{Int}}}}}}) Base.precompile(Tuple{typeof(convert),Type{Tuple},DataFrameRow{DataFrame,DataFrames.Index}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:a, :b),Tuple{Int,Int}},Union{Function, Type},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{String,1},Colon,Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x, :x_1),Tuple{Array{Int,1},Array{Int,1},Array{Int,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) @@ -3426,13 +3125,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Int,1},Array{Int,1}},Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Real},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :X),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{CategoricalArrays.CategoricalValue{String,UInt32},1,CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,typeof(!),InvertedIndex{UnitRange{Int}}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Int,UnitRange{Int}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int}},true}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:v1, :v2, :v3),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Array{Int,1},Symbol,Bool,BigInt,Union{Function, Type},Tuple{Array{BigInt,1}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Key3, :Value),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Array{String,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x_sum_skipmissing),Tuple{UnitRange{Int},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :y),Tuple{Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1, :x2, :x3, :nrow, :x4),Tuple{Float64,SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Float64,Int,Array{Float64,1}}},Type{DataFrame}}) @@ -3445,7 +3141,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.push!)),NamedTuple{(:cols,),Tuple{Symbol}},typeof(push!),DataFrame,NamedTuple{(:a, :b, :c, :d),NTuple{4,Int}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Int, Int8},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Any,1},Array{Union{Missing, Int},1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{String,1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Array{Int,1}},Pair{AsTable,typeof(identity)}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol,Int}}}) isdefined(DataFrames, Symbol("#128#132")) && Base.precompile(Tuple{getfield(DataFrames, Symbol("#128#132")),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}) @@ -3460,29 +3155,24 @@ function precompile(all=false) Base.precompile(Tuple{typeof(setindex!),DataFrame,Array{DataType,1},typeof(!),Symbol}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}},Int}) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,DataFrame,Array{Float64,2}}) - Base.precompile(Tuple{typeof(mapcols),typeof(categorical),DataFrame}) Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Nothing,Tuple{Array{Union{Missing, String},1}},Tuple{Array{String,1}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Irrational{:π},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.semijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(semijoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(show),Base.GenericIOBuffer{Array{UInt8,1}},DataFrameRow{DataFrame,DataFrames.Index}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}},CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B),Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Float64},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,All{Tuple{Symbol,Symbol}}}) Base.precompile(Tuple{Type{DataFrame},Array{Array{String,1},1},Array{Symbol,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Key1, :Key2, :Value),Tuple{Array{Union{Missing, String},1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}},UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{ByRow{typeof(minmax)},SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},Vararg{SubArray{Float64,1,Array{Float64,1},Tuple{Array{Int,1}},false},N} where N}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Symbol}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{Array{Int,1},1}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Nothing,typeof(columnindex),Tuple{Base.RefValue{SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}}},Array{Symbol,1}}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:_left,),Tuple{Int}},Type{DataFrame}}) Base.precompile(Tuple{ByRow{typeof(/)},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},Vararg{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},N} where N}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) let fbody = try __lookup_kwbody__(which(issorted, (DataFrame,Array{Any,1},))) catch missing end if !ismissing(fbody) Base.precompile(fbody, (Function,Function,Tuple{Bool,Bool,Bool},Base.Order.ForwardOrdering,typeof(issorted),DataFrame,Array{Any,1},)) end end - Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),NamedTuple{(:x1,),Tuple{CategoricalArrays.CategoricalValue{Int,UInt32}}},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{CategoricalArrays.CategoricalArray{Int,1,UInt32,Int,CategoricalArrays.CategoricalValue{Int,UInt32},Union{}}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:Name, :Quantity, :Mass),Tuple{Array{String,1},Array{Int,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,String},1}}},typeof(outerjoin),DataFrame,DataFrame,DataFrame}) Base.precompile(Tuple{typeof(view),DataFrame,InvertedIndex{Int},All{Tuple{}}}) @@ -3492,14 +3182,10 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:x,),Tuple{String}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,NamedTuple{(:c,),Tuple{Float64}},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:z, :nrow, :z2),Tuple{Int,Int,Int}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical!),DataFrame,InvertedIndex{UnitRange{Int}}}) - Base.precompile(Tuple{typeof(DataFrames.update_row_maps!),DataFrame,DataFrame,DataFrames.RowGroupDict{DataFrame},DataFrames.RowIndexMap,DataFrames.RowIndexMap,DataFrames.RowIndexMap,Array{Bool,1},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}},Tuple{CategoricalArrays.CategoricalArray{Float64,1,UInt32,Float64,CategoricalArrays.CategoricalValue{Float64,UInt32},Union{}}}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_multicol),NamedTuple{(:a, :b),Tuple{Int,String}},Function,GroupedDataFrame{DataFrame},Nothing}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Colon,Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},Vararg{Pair{Symbol,Pair{ByRow{typeof(sin)},Symbol}},N} where N}) Base.precompile(Tuple{typeof(DataFrames._expand_to_table),Array{NamedTuple{(:a, :b, :c),Tuple{Int,Int,Int}},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Bool,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(categorical),DataFrame,Array{Bool,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Symbol,Array{Symbol,1}},Function}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Base.ReshapedArray{Int,2,Base.OneTo{Int},Tuple{}}}}}) Base.precompile(Tuple{typeof(transform),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Any}) @@ -3511,7 +3197,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Dict{Any,Any}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.select)),NamedTuple{(:copycols,),Tuple{Bool}},typeof(select),DataFrame,Function}) - Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, CategoricalArrays.CategoricalValue{String,UInt32}},1,CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false}}}}) Base.precompile(Tuple{typeof(Base.vect),DataFrames.UserColOrdering{Symbol},Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x),Tuple{Array{Int,1},Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Union{Tuple{Symbol,Int}, DataFrames.GroupKey{GroupedDataFrame{DataFrame}}},1}}) @@ -3524,7 +3209,6 @@ function precompile(all=false) Base.precompile(Tuple{DataFrames.Reduce{typeof(max),Nothing,Nothing},Array{BigFloat,1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},NamedTuple{(),Tuple{}},Val{false},Nothing}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id, :p),Tuple{Array{Int,1},Int}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{CategoricalArrays.CategoricalArray{Union{Missing, String},1,UInt32,String,CategoricalArrays.CategoricalValue{String,UInt32},Missing},PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(minimum),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Number,1}},Int}) Base.precompile(Tuple{typeof(vcat),DataFrame,DataFrame,DataFrame,Vararg{DataFrame,N} where N}) end From 5e4607768c965d18bb4a9548f8341fbf95a683ed Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Sun, 8 Nov 2020 23:08:07 +0100 Subject: [PATCH 12/17] Add comments --- src/other/precompile.jl | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index 6e8681326f..8c651ce887 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -7,6 +7,9 @@ # using SnoopCompile # pc = SnoopCompile.parcel(inf_timing) # SnoopCompile.write("src/other/precompile_tmp.jl", pc[:DataFrames], always=true) +# sed -i '/categorical/di' src/other/precompile_tmp.jl # Remove CategoricalArrays uses +# sed -i '/var"/d' src/other/precompile_tmp.jl # var"" is not supported on old Julia versions +# sed -i '/materialize!/d' src/other/precompile_tmp.jl # Work around an inference bug function precompile(all=false) if !all ccall(:jl_generating_output, Cint, ()) == 1 || return nothing From 5b1f295bf43810ef5c4e146bd7d778137708beb1 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Mon, 9 Nov 2020 10:24:28 +0100 Subject: [PATCH 13/17] Add NEWS entry [ci skip] --- NEWS.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/NEWS.md b/NEWS.md index 497e0877e3..ecc4cdee5c 100644 --- a/NEWS.md +++ b/NEWS.md @@ -114,4 +114,8 @@ * limit the maximal display width the output can use in `text/plain` before being truncated (in the `textwidth` sense, excluding `…`) to `32` per column by default and fix a corner case when no columns are printed in situations when - they are too wide ([2403](https://github.com/JuliaData/DataFrames.jl/pull/2403)) + they are too wide ([#2403](https://github.com/JuliaData/DataFrames.jl/pull/2403)) +* Common methods are now precompiled to improve responsiveness the first time a method + is called in a Julia session. Precompilation takes up to 30 seconds + after installing the package + ([#2456](https://github.com/JuliaData/DataFrames.jl/pull/2456)). From 6cb728e6fad655a2ae59dd748dddc59c5cf33092 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Mon, 9 Nov 2020 11:07:46 +0100 Subject: [PATCH 14/17] Apply suggestions from code review MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Bogumił Kamiński --- src/other/precompile.jl | 14 +------------- 1 file changed, 1 insertion(+), 13 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index 8c651ce887..986cd06e5e 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -171,7 +171,6 @@ function precompile(all=false) Base.precompile(Tuple{Type{DataFrame},Array{Pair{Symbol,Int},1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{Array{Int,1},Array{Array{Int,1},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Array{Pair{typeof(nrow),Symbol},1}}) - Base.precompile(Tuple{Type{DataFrame},Base.ReshapedArray{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},Tuple{}},Symbol}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on,),Tuple{Array{Pair{Symbol,Symbol},1}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.groupreduce_init),typeof(Base.add_sum),Function,typeof(/),Array{Union{Missing, Complex{Float64}},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Complex{Int},1},GroupedDataFrame{DataFrame}}) @@ -255,7 +254,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Base.Broadcast.broadcasted),Function,Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,DataFrame}},Array{Float64,2}}) Base.precompile(Tuple{Type{DataFrame},Array{UnitRange,1},Symbol}) Base.precompile(Tuple{typeof(DataFrames._sortperm),SubDataFrame{DataFrame,DataFrames.Index,Array{Int,1}},Base.Sort.MergeSortAlg,DataFrames.DFPerm{Base.Order.ForwardOrdering,Tuple{SubArray{Union{Missing, String},1,PooledArrays.PooledArray{Union{Missing, String},UInt8,1,Array{UInt8,1}},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false},SubArray{Union{Missing, String},1,Array{Union{Missing, String},1},Tuple{Array{Int,1}},false}}}}) - Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.DataFrame!)),NamedTuple{(:x, :y, :copycols),Tuple{Array{Int,1},Array{Int,1},Bool}},typeof(DataFrame!)}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Bool},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.leftjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(leftjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Union{Missing, Symbol},1},Array{Symbol,1}},Val{false},Array{Int,1},Bool,Bool}) @@ -282,7 +280,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(prod),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Int}) Base.precompile(Tuple{Type{DataFrame},Dict{Symbol,UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Pair{Array{Symbol,1},typeof(-)}}) - Base.precompile(Tuple{Type{DataFrame},Array{Union{Missing, Float64},2}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Bool},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Nothing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Any,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Any,1},Array{Any,1}}},Type{DataFrame}}) @@ -511,7 +508,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a, :b),Tuple{UnitRange{Int},Int}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:id1, :id2, :x_left, :x_left_1),NTuple{4,UnitRange{Int}}},Type{DataFrame}}) Base.precompile(Tuple{Type{Array{T,2} where T},DataFrame}) - Base.precompile(Tuple{Type{DataFrame},Tuple{UnitRange{Int},UnitRange{Int}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Float64,1},Array{Float64,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Dict{Symbol,Int},1}}},Tuple{Array{Dict{Symbol,Int},1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol},Val{false}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x, :g),Tuple{UnitRange{Int},UnitRange{Int}}},Type{DataFrame}}) @@ -1067,7 +1063,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Int}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{String,1},PooledArrays.PooledArray{String,UInt8,1,Array{UInt8,1}}},Val{false},Array{Int,1},Bool,Bool}) - Base.precompile(Tuple{typeof(DataFrame!),Dict{String,Any}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.antijoin)),NamedTuple{(:on,),Tuple{Array{String,1}}},typeof(antijoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1, :x2),Tuple{SubArray{Int,1,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int}},Int},true},SubArray{Int,1,Base.ReshapedArray{Int,2,UnitRange{Int},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int}},Int},true}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, Number},1},GroupedDataFrame{DataFrame}}) @@ -1324,7 +1319,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(show),IOContext{Base.GenericIOBuffer{Array{UInt8,1}}},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Float64},1},GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:e,),Tuple{Array{String,1}}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(DataFrame!),DataFrame}) Base.precompile(Tuple{Type{DataFrame},Array{BitArray{1},1},Array{Symbol,1}}) Base.precompile(Tuple{typeof(Base.Broadcast.materialize),Base.Broadcast.Broadcasted{DataFrames.DataFrameStyle,Nothing,typeof(+),Tuple{DataFrame,Array{Float64,2}}}}) Base.precompile(Tuple{typeof(merge),DataFrameRow{DataFrame,DataFrames.Index},NamedTuple{(:c, :d),Tuple{Int,Int}}}) @@ -1988,7 +1982,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(Tables.columntable),Tables.Schema{(:a, :b, :c, :d),NTuple{4,Float64}},DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Base.RefValue{NamedTuple{(:x, :y),Tuple{SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false},SubArray{Int,1,Array{Int,1},Tuple{Array{Int,1}},false}}}},Union{Function, Type},NamedTuple{(:x, :y),Tuple{Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Array{Float64,1},Union{Function, Type},Tuple{Array{Int,1},Array{Float64,1}}}) - Base.precompile(Tuple{typeof(DataFrame!),Pair{Symbol,Array{Int,1}},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames.do_call),typeof(Statistics.mean),Array{Int,1},Array{Int,1},Array{Int,1},GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, DataFrame},1}},Int}) Base.precompile(Tuple{typeof(DataFrames._transformation_helper),DataFrame,UnitRange{Int},Function}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.mul_prod),Nothing,Nothing},Array{Union{Missing, Rational{Int}},1},GroupedDataFrame{DataFrame}}) @@ -2228,7 +2221,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, Rational{Int}},1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(rename),DataFrame,Pair{BigInt,Symbol}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:A, :B, :D),Tuple{Int,Int,Int}},Type{DataFrame}}) - Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Float64,2}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Bool,1}}},Tuple{Array{Bool,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{true}}) Base.precompile(Tuple{typeof(DataFrames._combine_rows_with_first!),DataFrameRow{DataFrame,DataFrames.Index},Tuple{Array{Union{Missing, Int},1},Array{Union{Missing, Int},1},Array{Int,1},Array{Union{Missing, Float64},1}},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,NTuple{4,Symbol},Val{true}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.vcat)),NamedTuple{(:cols,),Tuple{Array{String,1}}},typeof(vcat),DataFrame,Vararg{DataFrame,N} where N}) @@ -2394,7 +2386,6 @@ function precompile(all=false) end Base.precompile(Tuple{typeof(select),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.disallowmissing)),NamedTuple{(:error,),Tuple{Bool}},typeof(disallowmissing),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}}}) - Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int,1},Array{Int,1}},Vararg{Any,N} where N}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{Union{Missing, Int},1}},Val{true}}) Base.precompile(Tuple{Type{DataFrameRow},SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(identity)}}) @@ -2593,7 +2584,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.repeat!)),NamedTuple{(:inner, :outer),Tuple{Bool,Int}},typeof(repeat!),DataFrame}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.Index,UnitRange{Int}},Int,UnitRange{Int}}) Base.precompile(Tuple{typeof(DataAPI.levels),DataFrames.RepeatedVector{String}}) - Base.precompile(Tuple{typeof(convert),Type{DataFrame},Array{Union{Missing, Float64},2}}) Base.precompile(Tuple{typeof(push!),DataFrame,DataFrameRow{DataFrame,DataFrames.SubIndex{DataFrames.Index,UnitRange{Int},UnitRange{Int}}}}) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,Pair{typeof(first),Symbol}}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Missing}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Union{Missing, NamedTuple{(:a, :b),Tuple{Int,Int}}},1}},Val{false},Array{Int,1}}) @@ -2977,7 +2967,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Rational{Int},Union{Function, Type},Tuple{Array{Rational{Int},1}}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :x, :y, :x_sum),Tuple{Array{Union{Missing, Int},1},Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.manipulate)),NamedTuple{(:copycols, :keeprows, :renamecols),Tuple{Bool,Bool,Bool}},typeof(DataFrames.manipulate),DataFrame,Cols{Tuple{Int,String}}}) - Base.precompile(Tuple{typeof(DataFrame!),Tuple{Array{Int,1},Array{Int,1}}}) Base.precompile(Tuple{Type{DataFrame},Pair{Symbol,Array{Float64,1}},Vararg{Pair{Symbol,Array{Float64,1}},N} where N}) Base.precompile(Tuple{typeof(DataFrames._sortperm),DataFrame,Base.Sort.MergeSortAlg,DataFrames.DFPerm{Array{Base.Order.Ordering,1},Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,Nothing},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) @@ -3045,7 +3034,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(names),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},UnitRange{Int}}}) Base.precompile(Tuple{typeof(getindex),GroupedDataFrame{DataFrame},Array{Tuple{Int},1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{},Val{false},Nothing}) - Base.precompile(Tuple{typeof(DataFrame!),Pair{String,Array{Int,1}},Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.outerjoin)),NamedTuple{(:on, :makeunique, :validate, :renamecols),Tuple{Symbol,Bool,Pair{Bool,Bool},Pair{Symbol,Symbol}}},typeof(outerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{BigFloat,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Float64}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1},Array{Float64,1}},Val{false},Array{Int,1}}) @@ -3216,4 +3204,4 @@ function precompile(all=false) Base.precompile(Tuple{typeof(vcat),DataFrame,DataFrame,DataFrame,Vararg{DataFrame,N} where N}) end return nothing -end \ No newline at end of file +end From 753b6c811f99a26df1f14463467229150dd642ad Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Mon, 9 Nov 2020 12:57:03 +0100 Subject: [PATCH 15/17] Test DataFrames.precompile() --- test/precompile.jl | 10 ++++++++++ test/runtests.jl | 1 + 2 files changed, 11 insertions(+) create mode 100644 test/precompile.jl diff --git a/test/precompile.jl b/test/precompile.jl new file mode 100644 index 0000000000..38ecf41623 --- /dev/null +++ b/test/precompile.jl @@ -0,0 +1,10 @@ +module TestPrecompile + +using Test, DataFrames + +@testset "precompile" + @test DataFrames.precompile() === nothing + @test DataFrames.precompile(true) === nothing +end + +end \ No newline at end of file diff --git a/test/runtests.jl b/test/runtests.jl index b48de847c9..fec6c8d6e6 100644 --- a/test/runtests.jl +++ b/test/runtests.jl @@ -31,6 +31,7 @@ my_tests = ["utils.jl", "indexing.jl", "broadcasting.jl", "string.jl", + "precompile.jl", "deprecated.jl"] println("Running tests:") From d2eeb0fdbde80b1bf348f77a770add8b9d5c0335 Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Mon, 9 Nov 2020 17:50:07 +0100 Subject: [PATCH 16/17] Fix --- test/precompile.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/precompile.jl b/test/precompile.jl index 38ecf41623..ff476bac73 100644 --- a/test/precompile.jl +++ b/test/precompile.jl @@ -2,7 +2,7 @@ module TestPrecompile using Test, DataFrames -@testset "precompile" +@testset "precompile" begin @test DataFrames.precompile() === nothing @test DataFrames.precompile(true) === nothing end From ddc627e2556e6bad9daad15113a052f5813aefee Mon Sep 17 00:00:00 2001 From: Milan Bouchet-Valat Date: Mon, 9 Nov 2020 19:50:42 +0100 Subject: [PATCH 17/17] Remove more problematic functions --- src/other/precompile.jl | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/src/other/precompile.jl b/src/other/precompile.jl index 986cd06e5e..3ae3e0d203 100644 --- a/src/other/precompile.jl +++ b/src/other/precompile.jl @@ -10,6 +10,8 @@ # sed -i '/categorical/di' src/other/precompile_tmp.jl # Remove CategoricalArrays uses # sed -i '/var"/d' src/other/precompile_tmp.jl # var"" is not supported on old Julia versions # sed -i '/materialize!/d' src/other/precompile_tmp.jl # Work around an inference bug +# sed -i '/setindex_widen_up_to/d' src/other/precompile_tmp.jl # Not present on Julia 1.0 +# sed -i '/restart_copyto_nonleaf!/d' src/other/precompile_tmp.jl # Not present on Julia 1.0 function precompile(all=false) if !all ccall(:jl_generating_output, Cint, ()) == 1 || return nothing @@ -800,7 +802,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Int}},Function,GroupedDataFrame{DataFrame},Tuple{Array{DataFrame,1}},Val{false},Array{Int,1}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Int,1},Array{String,1}},Val{true},Array{Int,1},Bool,Bool}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Tuple{Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Nothing,Tuple{Symbol},Val{false}}) - Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Int}},1},DataFrames.RepeatedVector{Union{Missing, Float64}},Int}) Base.precompile(Tuple{typeof(select),SubDataFrame{DataFrame,DataFrames.Index,Base.OneTo{Int}},Any,Any,Vararg{Any,N} where N}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.innerjoin)),NamedTuple{(:on,),Tuple{Symbol}},typeof(innerjoin),DataFrame,DataFrame}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{Union{Missing, BigFloat},1},GroupedDataFrame{DataFrame}}) @@ -1936,7 +1937,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.show)),NamedTuple{(:allrows, :allcols, :allgroups, :rowlabel, :summary, :truncate),Tuple{Bool,Bool,Bool,Symbol,Bool,Int}},typeof(show),Base.PipeEndpoint,GroupedDataFrame{DataFrame}}) Base.precompile(Tuple{typeof(view),DataFrame,Array{Integer,1},Colon}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Int,Union{Function, Type},Tuple{Array{Union{Missing, Bool},1}}}) - Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Union{Missing, Float64}},1},DataFrames.RepeatedVector{Union{Missing, String}},Int}) Base.precompile(Tuple{typeof(DataFrames._combine_with_first),NamedTuple{(:x1,),Tuple{Array{Int,1}}},Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Val{false},Nothing}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{String,Array{String,1}}}) Base.precompile(Tuple{typeof(DataFrames.row_group_slots),Tuple{Array{Any,1}},Val{false},Array{Int,1},Bool,Bool}) @@ -2046,7 +2046,6 @@ function precompile(all=false) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:b, :c, :d),Tuple{Array{Int,1},Array{Int,1},Array{Int,1}}},Type{DataFrame}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:g, :a, :b),Tuple{Array{Int,1},Array{Union{Nothing, String},1},Array{Union{Nothing, String},1}}},Type{DataFrame}}) Base.precompile(Tuple{DataFrames.Aggregate{typeof(Statistics.var),Nothing},Array{Union{Missing, Int, Int8},1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.Broadcast.restart_copyto_nonleaf!),Array{Dict{Symbol,V} where V,1},Array{Dict{Symbol,Any},1},Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1},Tuple{Base.OneTo{Int}},Type{Dict},Tuple{Base.Broadcast.Extruded{Array{DataFrames.GroupKey{GroupedDataFrame{DataFrame}},1},Tuple{Bool},Tuple{Int}}}},Dict{Symbol,Union{Missing, Int}},Int,Base.OneTo{Int},Int,Int}) Base.precompile(Tuple{typeof(push!),DataFrame,Dict{String,Int}}) Base.precompile(Tuple{Core.kwftype(typeof(DataFrames.Type)),NamedTuple{(:a,),Tuple{Array{Union{Missing, BigFloat},1}}},Type{DataFrame}}) Base.precompile(Tuple{typeof(DataFrames._combine_process_pair_symbol),Bool,GroupedDataFrame{DataFrame},Dict{Symbol,Tuple{Bool,Int}},Array{DataFrames.TransformationResult,1},Nothing,Symbol,Bool,Float64,Union{Function, Type},Tuple{Array{Complex{Int},1}}}) @@ -2845,7 +2844,6 @@ function precompile(all=false) Base.precompile(Tuple{typeof(combine),GroupedDataFrame{DataFrame},Pair{Symbol,typeof(sum)},Symbol}) Base.precompile(Tuple{typeof(view),SubDataFrame{DataFrame,DataFrames.SubIndex{DataFrames.Index,Array{Int,1},Array{Int,1}},Base.OneTo{Int}},Function,Array{Int,1}}) Base.precompile(Tuple{DataFrames.Reduce{typeof(Base.add_sum),Nothing,typeof(/)},Array{BigInt,1},GroupedDataFrame{DataFrame}}) - Base.precompile(Tuple{typeof(Base.setindex_widen_up_to),Array{DataFrames.RepeatedVector{Int},1},DataFrames.RepeatedVector{String},Int}) Base.precompile(Tuple{typeof(getindex),DataFrame,Colon,Cols{Tuple{Int,Int,Int}}}) Base.precompile(Tuple{typeof(DataFrames._combine_tables_with_first!),NamedTuple{(:a, :b),Tuple{UnitRange{Int},UnitRange{Int}}},Tuple{Array{Int,1},Array{Int,1}},Array{Int,1},Int,Int,Function,GroupedDataFrame{DataFrame},Tuple{Array{Int,1}},Tuple{Symbol,Symbol},Val{true}}) Base.precompile(Tuple{typeof(insertcols!),DataFrame,Int,Pair{Symbol,Array{Array{Int,1},1}}})