Merge pull request #97 from KristofferC/kc/whitespace_fixes

whitespace fixes

benchmarks/py/benchmarks.py

@@ -89,10 +89,10 @@ def get_benchmarks(*fs):
 ##################
 default_fs = (ackley, rosenbrock, self_weighted_logit)
 
-def run_default_benchmarks(): 
+def run_default_benchmarks():
     return run_benchmarks(*default_fs)
 
-def get_default_benchmarks(): 
+def get_default_benchmarks():
     return get_benchmarks(*default_fs)
 
 if __name__ == '__main__':

docs/source/index.rst

@@ -7,7 +7,7 @@ ForwardDiff.jl implements methods to take **derivatives**, **gradients**, **Jaco
 
 While performance can vary depending on the functions you evaluate, the algorithms implemented by ForwardDiff.jl **generally outperform non-AD algorithms in both speed and accuracy.**
 
-This `wikipedia page`_ on automatic differentiation is a useful resource for learning about the advantages of AD techniques over other common differentiation methods (such as `finite differencing`_). 
+This `wikipedia page`_ on automatic differentiation is a useful resource for learning about the advantages of AD techniques over other common differentiation methods (such as `finite differencing`_).
 
 .. toctree::
    :maxdepth: 2

src/api/api.jl

@@ -1,15 +1,15 @@
-# Note for the files in this folder: 
-# Following convention, methods whose names are prefixed 
-# with an underscore are unsafe to use outside of a strictly 
-# controlled context - such methods assume that all 
+# Note for the files in this folder:
+# Following convention, methods whose names are prefixed
+# with an underscore are unsafe to use outside of a strictly
+# controlled context - such methods assume that all
 # boundary-checking is done by the caller.
 
 const tuple_usage_threshold = 10
 const default_chunk_size = 0
 
 abstract AllResults
 
-function check_chunk_size(xlen::Int, chunk_size::Int)        
+function check_chunk_size(xlen::Int, chunk_size::Int)
     if chunk_size != default_chunk_size
         @assert chunk_size > 0 "Invalid chunk_size: $chunk_size. chunk_size cannot be negative."
         @assert xlen % chunk_size == 0 "Length of input vector is indivisible by chunk size (length(x) = $xlen, chunk size = $chunk_size)"

src/api/deprecated.jl

@@ -22,12 +22,12 @@ Base.@deprecate forwarddiff_jacobian!(f::Function, T::DataType; fadtype::Symbol=
 Base.@deprecate forwarddiff_hessian!(f::Function, T::DataType; fadtype::Symbol=:dual, args...) depr_inplace_fad(ForwardDiff.hessian, f)
 Base.@deprecate forwarddiff_tensor!(f::Function, T::DataType; fadtype::Symbol=:dual, args...) depr_inplace_fad(ForwardDiff.tensor, f)
 
-export forwarddiff_gradient, 
+export forwarddiff_gradient,
     forwarddiff_gradient!,
-    forwarddiff_jacobian, 
+    forwarddiff_jacobian,
     forwarddiff_jacobian!,
-    forwarddiff_hessian, 
+    forwarddiff_hessian,
     forwarddiff_hessian!,
-    forwarddiff_tensor, 
+    forwarddiff_tensor,
     forwarddiff_tensor!,
     deprecated_inplace_fad