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Rename Associative to AbstractDict
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Andy Ferris committed Dec 10, 2017
1 parent 40e7d29 commit 1e84614
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2 changes: 1 addition & 1 deletion Makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -179,7 +179,7 @@ CORE_SRCS := $(addprefix $(JULIAHOME)/, \
base/abstractarray.jl \
base/array.jl \
base/bool.jl \
base/associative.jl \
base/abstractdict.jl \
base/codevalidation.jl \
base/error.jl \
base/essentials.jl \
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2 changes: 2 additions & 0 deletions NEWS.md
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Expand Up @@ -738,6 +738,8 @@ Deprecated or removed
* The `sum_kbn` and `cumsum_kbn` functions have been moved to the
[KahanSummation](https://github.com/JuliaMath/KahanSummation.jl) package ([#24869]).

* `Associative` has been deprecated in favor of `AbstractDict` ([#??]).

Command-line option changes
---------------------------

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120 changes: 60 additions & 60 deletions base/associative.jl → base/abstractdict.jl
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Original file line number Diff line number Diff line change
@@ -1,11 +1,11 @@
# This file is a part of Julia. License is MIT: https://julialang.org/license

# generic operations on associative collections
# generic operations on dictionaries

"""
KeyError(key)
An indexing operation into an `Associative` (`Dict`) or `Set` like object tried to access or
An indexing operation into an `AbstractDict` (`Dict`) or `Set` like object tried to access or
delete a non-existent element.
"""
struct KeyError <: Exception
Expand All @@ -14,33 +14,33 @@ end

const secret_table_token = :__c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__

haskey(d::Associative, k) = in(k, keys(d))
haskey(d::AbstractDict, k) = in(k, keys(d))

function in(p::Pair, a::Associative, valcmp=(==))
function in(p::Pair, a::AbstractDict, valcmp=(==))
v = get(a,p[1],secret_table_token)
if v !== secret_table_token
valcmp(v, p[2]) && return true
end
return false
end

function in(p, a::Associative)
error("""Associative collections only contain Pairs;
function in(p, a::AbstractDict)
error("""AbstractDict collections only contain Pairs;
Either look for e.g. A=>B instead, or use the `keys` or `values`
function if you are looking for a key or value respectively.""")
end

function summary(t::Associative)
function summary(t::AbstractDict)
n = length(t)
return string(typeof(t), " with ", n, (n==1 ? " entry" : " entries"))
end

struct KeySet{K, T <: Associative{K}} <: AbstractSet{K}
struct KeySet{K, T <: AbstractDict{K}} <: AbstractSet{K}
dict::T
end
KeySet(dict::Associative) = KeySet{keytype(dict), typeof(dict)}(dict)
KeySet(dict::AbstractDict) = KeySet{keytype(dict), typeof(dict)}(dict)

struct ValueIterator{T<:Associative}
struct ValueIterator{T<:AbstractDict}
dict::T
end

Expand Down Expand Up @@ -78,9 +78,9 @@ return an iterator over the keys.
function keys end

"""
keys(a::Associative)
keys(a::AbstractDict)
Return an iterator over all keys in an associative collection.
Return an iterator over all keys in a dictionary.
`collect(keys(a))` returns an array of keys.
Since the keys are stored internally in a hash table,
the order in which they are returned may vary.
Expand All @@ -100,10 +100,10 @@ julia> collect(keys(a))
'a'
```
"""
keys(a::Associative) = KeySet(a)
keys(a::AbstractDict) = KeySet(a)

"""
values(a::Associative)
values(a::AbstractDict)
Return an iterator over all values in a collection.
`collect(values(a))` returns an array of values.
Expand All @@ -125,7 +125,7 @@ julia> collect(values(a))
2
```
"""
values(a::Associative) = ValueIterator(a)
values(a::AbstractDict) = ValueIterator(a)

"""
pairs(collection)
Expand All @@ -136,24 +136,24 @@ This includes arrays, where the keys are the array indices.
"""
pairs(collection) = Generator(=>, keys(collection), values(collection))

pairs(a::Associative) = a
pairs(a::AbstractDict) = a

"""
empty(a::Associative, [index_type=keytype(a)], [value_type=valtype(a)])
empty(a::AbstractDict, [index_type=keytype(a)], [value_type=valtype(a)])
Create an empty `Associative` container which can accept indices of type `index_type` and
Create an empty `AbstractDict` container which can accept indices of type `index_type` and
values of type `value_type`. The second and third arguments are optional and default to the
input's `keytype` and `valtype`, respectively. (If only one of the two types is specified,
it is assumed to be the `value_type`, and the `index_type` we default to `keytype(a)`).
Custom `Associative` subtypes may choose which specific associative type is best suited to
Custom `AbstractDict` subtypes may choose which specific dictionary type is best suited to
return for the given index and value types, by specializing on the three-argument signature.
The default is to return an empty `Dict`.
"""
empty(a::Associative) = empty(a, keytype(a), valtype(a))
empty(a::Associative, ::Type{V}) where {V} = empty(a, keytype(a), V) # Note: this is the form which makes sense for `Vector`.
empty(a::AbstractDict) = empty(a, keytype(a), valtype(a))
empty(a::AbstractDict, ::Type{V}) where {V} = empty(a, keytype(a), V) # Note: this is the form which makes sense for `Vector`.

function copy(a::Associative)
function copy(a::AbstractDict)
b = empty(a)
for (k,v) in a
b[k] = v
Expand All @@ -162,7 +162,7 @@ function copy(a::Associative)
end

"""
merge!(d::Associative, others::Associative...)
merge!(d::AbstractDict, others::AbstractDict...)
Update collection with pairs from the other collections.
See also [`merge`](@ref).
Expand All @@ -182,7 +182,7 @@ Dict{Int64,Int64} with 3 entries:
1 => 4
```
"""
function merge!(d::Associative, others::Associative...)
function merge!(d::AbstractDict, others::AbstractDict...)
for other in others
for (k,v) in other
d[k] = v
Expand All @@ -192,7 +192,7 @@ function merge!(d::Associative, others::Associative...)
end

"""
merge!(combine, d::Associative, others::Associative...)
merge!(combine, d::AbstractDict, others::AbstractDict...)
Update collection with pairs from the other collections.
Values with the same key will be combined using the
Expand Down Expand Up @@ -221,7 +221,7 @@ Dict{Int64,Int64} with 3 entries:
1 => 0
```
"""
function merge!(combine::Function, d::Associative, others::Associative...)
function merge!(combine::Function, d::AbstractDict, others::AbstractDict...)
for other in others
for (k,v) in other
d[k] = haskey(d, k) ? combine(d[k], v) : v
Expand All @@ -232,7 +232,7 @@ end

# very similar to `merge!`, but accepts any iterable and extends code
# that would otherwise only use `copy!` with arrays.
function copy!(dest::Union{Associative,AbstractSet}, src)
function copy!(dest::Union{AbstractDict,AbstractSet}, src)
for x in src
push!(dest, x)
end
Expand All @@ -242,35 +242,35 @@ end
"""
keytype(type)
Get the key type of an associative collection type. Behaves similarly to [`eltype`](@ref).
Get the key type of an dictionary type. Behaves similarly to [`eltype`](@ref).
# Examples
```jldoctest
julia> keytype(Dict(Int32(1) => "foo"))
Int32
```
"""
keytype(::Type{Associative{K,V}}) where {K,V} = K
keytype(a::Associative) = keytype(typeof(a))
keytype(::Type{A}) where {A<:Associative} = keytype(supertype(A))
keytype(::Type{AbstractDict{K,V}}) where {K,V} = K
keytype(a::AbstractDict) = keytype(typeof(a))
keytype(::Type{A}) where {A<:AbstractDict} = keytype(supertype(A))

"""
valtype(type)
Get the value type of an associative collection type. Behaves similarly to [`eltype`](@ref).
Get the value type of an dictionary type. Behaves similarly to [`eltype`](@ref).
# Examples
```jldoctest
julia> valtype(Dict(Int32(1) => "foo"))
String
```
"""
valtype(::Type{Associative{K,V}}) where {K,V} = V
valtype(::Type{A}) where {A<:Associative} = valtype(supertype(A))
valtype(a::Associative) = valtype(typeof(a))
valtype(::Type{AbstractDict{K,V}}) where {K,V} = V
valtype(::Type{A}) where {A<:AbstractDict} = valtype(supertype(A))
valtype(a::AbstractDict) = valtype(typeof(a))

"""
merge(d::Associative, others::Associative...)
merge(d::AbstractDict, others::AbstractDict...)
Construct a merged collection from the given collections. If necessary, the
types of the resulting collection will be promoted to accommodate the types of
Expand Down Expand Up @@ -302,11 +302,11 @@ Dict{String,Float64} with 3 entries:
"foo" => 0.0
```
"""
merge(d::Associative, others::Associative...) =
merge(d::AbstractDict, others::AbstractDict...) =
merge!(_typeddict(d, others...), others...)

"""
merge(combine, d::Associative, others::Associative...)
merge(combine, d::AbstractDict, others::AbstractDict...)
Construct a merged collection from the given collections. If necessary, the
types of the resulting collection will be promoted to accommodate the types of
Expand All @@ -332,21 +332,21 @@ Dict{String,Float64} with 3 entries:
"foo" => 0.0
```
"""
merge(combine::Function, d::Associative, others::Associative...) =
merge(combine::Function, d::AbstractDict, others::AbstractDict...) =
merge!(combine, _typeddict(d, others...), others...)

promoteK(K) = K
promoteV(V) = V
promoteK(K, d, ds...) = promoteK(promote_type(K, keytype(d)), ds...)
promoteV(V, d, ds...) = promoteV(promote_type(V, valtype(d)), ds...)
function _typeddict(d::Associative, others::Associative...)
function _typeddict(d::AbstractDict, others::AbstractDict...)
K = promoteK(keytype(d), others...)
V = promoteV(valtype(d), others...)
Dict{K,V}(d)
end

"""
filter!(f, d::Associative)
filter!(f, d::AbstractDict)
Update `d`, removing elements for which `f` is `false`.
The function `f` is passed `key=>value` pairs.
Expand All @@ -365,11 +365,11 @@ Dict{Int64,String} with 2 entries:
1 => "a"
```
"""
function filter!(f, d::Associative)
function filter!(f, d::AbstractDict)
badkeys = Vector{keytype(d)}()
try
for pair in d
# don't delete!(d, k) here, since associative types
# don't delete!(d, k) here, since dictionary types
# may not support mutation during iteration
f(pair) || push!(badkeys, pair.first)
end
Expand All @@ -382,7 +382,7 @@ function filter!(f, d::Associative)
return d
end

function filter_in_one_pass!(f, d::Associative)
function filter_in_one_pass!(f, d::AbstractDict)
try
for pair in d
if !f(pair)
Expand All @@ -395,12 +395,12 @@ function filter_in_one_pass!(f, d::Associative)
return d
end

function filter!_dict_deprecation(e, f, d::Associative)
function filter!_dict_deprecation(e, f, d::AbstractDict)
if isa(e, MethodError) && e.f === f
depwarn("In `filter!(f, dict)`, `f` is now passed a single pair instead of two arguments.", :filter!)
badkeys = Vector{keytype(d)}()
for (k,v) in d
# don't delete!(d, k) here, since associative types
# don't delete!(d, k) here, since dictionary types
# may not support mutation during iteration
f(k, v) || push!(badkeys, k)
end
Expand All @@ -414,7 +414,7 @@ function filter!_dict_deprecation(e, f, d::Associative)
end

"""
filter(f, d::Associative)
filter(f, d::AbstractDict)
Return a copy of `d`, removing elements for which `f` is `false`.
The function `f` is passed `key=>value` pairs.
Expand All @@ -431,7 +431,7 @@ Dict{Int64,String} with 1 entry:
1 => "a"
```
"""
function filter(f, d::Associative)
function filter(f, d::AbstractDict)
# don't just do filter!(f, copy(d)): avoid making a whole copy of d
df = empty(d)
try
Expand All @@ -455,9 +455,9 @@ function filter(f, d::Associative)
return df
end

eltype(::Type{Associative{K,V}}) where {K,V} = Pair{K,V}
eltype(::Type{AbstractDict{K,V}}) where {K,V} = Pair{K,V}

function isequal(l::Associative, r::Associative)
function isequal(l::AbstractDict, r::AbstractDict)
l === r && return true
if isa(l,ObjectIdDict) != isa(r,ObjectIdDict)
return false
Expand All @@ -471,7 +471,7 @@ function isequal(l::Associative, r::Associative)
true
end

function ==(l::Associative, r::Associative)
function ==(l::AbstractDict, r::AbstractDict)
l === r && return true
if isa(l,ObjectIdDict) != isa(r,ObjectIdDict)
return false
Expand All @@ -486,15 +486,15 @@ function ==(l::Associative, r::Associative)
end

const hasha_seed = UInt === UInt64 ? 0x6d35bb51952d5539 : 0x952d5539
function hash(a::Associative, h::UInt)
function hash(a::AbstractDict, h::UInt)
hv = hasha_seed
for (k,v) in a
hv ⊻= hash(k, hash(v))
end
hash(hv, h)
end

function getindex(t::Associative, key)
function getindex(t::AbstractDict, key)
v = get(t, key, secret_table_token)
if v === secret_table_token
throw(KeyError(key))
Expand All @@ -504,12 +504,12 @@ end

# t[k1,k2,ks...] is syntactic sugar for t[(k1,k2,ks...)]. (Note
# that we need to avoid dispatch loops if setindex!(t,v,k) is not defined.)
getindex(t::Associative, k1, k2, ks...) = getindex(t, tuple(k1,k2,ks...))
setindex!(t::Associative, v, k1, k2, ks...) = setindex!(t, v, tuple(k1,k2,ks...))
getindex(t::AbstractDict, k1, k2, ks...) = getindex(t, tuple(k1,k2,ks...))
setindex!(t::AbstractDict, v, k1, k2, ks...) = setindex!(t, v, tuple(k1,k2,ks...))

push!(t::Associative, p::Pair) = setindex!(t, p.second, p.first)
push!(t::Associative, p::Pair, q::Pair) = push!(push!(t, p), q)
push!(t::Associative, p::Pair, q::Pair, r::Pair...) = push!(push!(push!(t, p), q), r...)
push!(t::AbstractDict, p::Pair) = setindex!(t, p.second, p.first)
push!(t::AbstractDict, p::Pair, q::Pair) = push!(push!(t, p), q)
push!(t::AbstractDict, p::Pair, q::Pair, r::Pair...) = push!(push!(push!(t, p), q), r...)

# hashing objects by identity

Expand All @@ -522,7 +522,7 @@ and value type and thus its `eltype` is always `Pair{Any,Any}`.
See [`Dict`](@ref) for further help.
"""
mutable struct ObjectIdDict <: Associative{Any,Any}
mutable struct ObjectIdDict <: AbstractDict{Any,Any}
ht::Vector{Any}
ndel::Int
ObjectIdDict() = new(Vector{Any}(uninitialized, 32), 0)
Expand Down Expand Up @@ -613,6 +613,6 @@ copy(o::ObjectIdDict) = ObjectIdDict(o)

get!(o::ObjectIdDict, key, default) = (o[key] = get(o, key, default))

# For some Associative types, it is safe to implement filter!
# For some AbstractDict types, it is safe to implement filter!
# by deleting keys during iteration.
filter!(f, d::ObjectIdDict) = filter_in_one_pass!(f, d)
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