mbauman

julia> VERSION
v"0.7.0-DEV.2114"

julia> methodswith(Function)
[1] guardsrand(f::Function) in Test at /Users/mbauman/Code/julia-0.6/usr/share/julia/site/v0.7/Test/src/Test.jl:1429
[2] guardsrand(f::Function, r::AbstractRNG) in Test at /Users/mbauman/Code/julia-0.6/usr/share/julia/site/v0.7/Test/src/Test.jl:1429
[3] guardsrand(f::Function, seed::Integer) in Test at /Users/mbauman/Code/julia-0.6/usr/share/julia/site/v0.7/Test/src/Test.jl:1439
[4] !(f::Function) in Base at operators.jl:975
[5] all(f::Function, A::AbstractArray, region) in Base at reducedim.jl:619
[6] all!(f::Function, r::AbstractArray, A::AbstractArray) in Base at reducedim.jl:615

mbauman

Status quo

Currently the AbstractArray type hierarchy has three major subtype trees:

• DenseArray
• AbstractSparseArray
• AbstractRange

In addition, we have the StridedArray typealias, which effectively “adds” strided SubArrays and ReshapedArrays as pseudo-subtypes of DenseArrays.

We also have the IndexStyle trait.

mbauman

$ ack -C 5 '\bslicedim\b'
AutoGrad/src/base/abstractarraymath.jl
13-# imag
14-# +
15-# *
16-# /
17-# \
18:# slicedim
19-# flipdim
20-# circshift

mbauman

{
    "name": "mycsv",
    "title": "Mycsv",
    "resources": [
        {
            "name": "etp_participant_data",
            "title": "Etp Participant Data",
            "schema": {
                "fields": [
                    {

mbauman

    JULIA test/all
WARNING: general linear indexing is deprecated; use reshape(A, Val{1}) before indexing
!atcaller!>  in *(::UpperTriangular{Float32,Array{Float32,2}}, ::Array{BigFloat,1}) at triangular.jl:1559 in /Users/mbauman/Code/julia-0.6/test/linalg/triangular.jl at 17
Stacktrace:
 [1] depwarn(::String, ::Tuple{Symbol,Symbol,Symbol}) at ./deprecated.jl:64
 [2] _to_linear_index(::Array{BigFloat,1}, ::Int64, ::Int64, ::Vararg{Int64,N}) at ./abstractarray.jl:850
 [3] _getindex at ./abstractarray.jl:837 [inlined]
 [4] getindex at ./multidimensional.jl:184 [inlined]
 [5] A_mul_B!(::UpperTriangular{BigFloat,Array{BigFloat,2}}, ::Array{BigFloat,1}) at ./linalg/triangular.jl:582
 [6] *(::UpperTriangular{Float32,Array{Float32,2}}, ::Array{BigFloat,1}) at ./linalg/triangular.jl:1559

mbauman

diff --git a/base/array.jl b/base/array.jl
index 7c3b978..b28837d 100644
--- a/base/array.jl
+++ b/base/array.jl
@@ -289,8 +289,17 @@ done(a::Array,i) = (i > length(a))
 
 ## Indexing: getindex ##
 
-getindex(A::Array, i::Int, I::Int...) = arrayref(A, i, I...)
-unsafe_getindex(A::Array, i::Int, I::Int...) = @inbounds return arrayref(A, i, I...)

mbauman

diff --git a/base/array.jl b/base/array.jl
index 7c3b978..501693f 100644
--- a/base/array.jl
+++ b/base/array.jl
@@ -289,8 +289,17 @@ done(a::Array,i) = (i > length(a))
 
 ## Indexing: getindex ##
 
-getindex(A::Array, i::Int, I::Int...) = arrayref(A, i, I...)
-unsafe_getindex(A::Array, i::Int, I::Int...) = @inbounds return arrayref(A, i, I...)

mbauman

# Forward-backward IIR filter that uses Gustafsson's method.
#
# Apply the IIR filter defined by `(b,a)` to `x` twice, first forward
# then backward, using Gustafsson's initial conditions [1]_.
#
# Let `y_fb` be the result of filtering first forward and then backward,
# and let `y_bf` be the result of filtering first backward then forward.
# Gustafsson's method is to compute initial conditions for the forward
# pass and the backward pass such that `y_fb == y_bf`.
#

mbauman

module RC

## Method sorting: https://github.com/JuliaLang/julia/pull/6119 (closed wontfix)
Base.isless(a::Method, b::Method) = isless(a.func.code.name, b.func.code.name)

## Simplify life when calling methodswith. I always do it wrong.
Base.methodswith(x, showparents::Bool=false) = methodswith(typeof(x), showparents)

if VERSION < v"0.3-"
	ENV["JULIA_HISTORY"] = joinpath(homedir(), "~/.julia_history_v0.2")

mbauman

julia> {"key$(i)" => randn(i,i) for i = 1:10}
{"key8"=>8x8 Array{Float64,2}:
 -2.12749    -0.752214   0.492932   …  -1.15896    -0.469876  -0.473766
  0.591607    0.781237  -0.882523      -1.04401    -0.847492   1.46561
  0.261209    1.07582    1.38244        2.45793    -1.72707    1.86853
  1.77907     1.49788   -1.9545        -0.0986327  -1.00464    0.265882
  0.890266    0.151234   0.0375418      0.250334   -0.857636   0.593363
 -0.0338993  -0.465015   0.342204   …   0.701575   -0.506198  -1.8893
 -1.1662      0.318207   0.961944       0.514062   -0.301675   0.768447
 -0.946939    0.823065   1.35655       -0.55687    -0.28025   -0.125624,"key6"=>6x6 Array{Float64,2}: