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1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -1,2 +1,3 @@
*.jl.cov
*.jl.mem
Manifest.toml
6 changes: 3 additions & 3 deletions .travis.yml
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Expand Up @@ -3,8 +3,8 @@ os:
- linux
- osx
julia:
- 0.6
- 0.7
- 1.0
- 1.1
- nightly
notifications:
email: false
Expand All @@ -14,4 +14,4 @@ notifications:
# - julia --check-bounds=yes -e 'Pkg.clone(pwd()); Pkg.build("AxisAlgorithms"); Pkg.test("AxisAlgorithms"; coverage=true)'
after_success:
# push coverage results to Codecov
- julia -e 'cd(Pkg.dir("AxisAlgorithms")); Pkg.add("Coverage"); using Coverage; Codecov.submit(Codecov.process_folder())'
- julia -e 'import Pkg; Pkg.add("Coverage"); using Coverage; Codecov.submit(Codecov.process_folder())'
19 changes: 19 additions & 0 deletions Project.toml
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@@ -0,0 +1,19 @@
name = "AxisAlgorithms"
uuid = "13072b0f-2c55-5437-9ae7-d433b7a33950"
author = ["Tim Holy <tim.holy@gmail.com>"]
version = "1.0.0"

[deps]
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
WoodburyMatrices = "efce3f68-66dc-5838-9240-27a6d6f5f9b6"

[compat]
julia = "1"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]
3 changes: 0 additions & 3 deletions REQUIRE

This file was deleted.

5 changes: 1 addition & 4 deletions src/AxisAlgorithms.jl
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@@ -1,10 +1,7 @@
__precompile__()

module AxisAlgorithms

using WoodburyMatrices
using Compat
using Compat.LinearAlgebra, Compat.SparseArrays
using LinearAlgebra, SparseArrays

export A_ldiv_B_md!,
A_ldiv_B_md,
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4 changes: 2 additions & 2 deletions test/runtests.jl
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@@ -1,5 +1,5 @@
using AxisAlgorithms, Compat
using Compat.Test, Compat.LinearAlgebra, Compat.SparseArrays, Compat.Random
using AxisAlgorithms
using Test, LinearAlgebra, SparseArrays, Random

include("tridiag.jl")
include("matmul.jl")
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4 changes: 2 additions & 2 deletions test/woodbury.jl
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Expand Up @@ -14,8 +14,8 @@ W = Woodbury(F, U, C, V)

src = rand(5, 8)
@test W\src ≈ AxisAlgorithms.A_ldiv_B_md(W, src, 1)
src = rand(5, 5, 5)
for dim = 1:3
src = rand(5, 5, 5, 5)
for dim = 1:4
dest1 = mapslices(x->W\x, copy(src), dims=dim)
dest2 = similar(src)
AxisAlgorithms.A_ldiv_B_md!(dest2, W, src, dim)
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