lqdunxgx2005/julia-test-from-the-stack · Datasets at Hugging Face

f7005682f45127ca851469ce7a4ea680c9da5dc4

49

jl

Julia

AE/test/runtests.jl

foldfelis/ML101.jl

b4b217ac4af88ba460ec26c5c8a1ce322edae64a

[ "MIT" ]

6

2021-02-23T05:48:18.000Z

2021-02-23T11:52:24.000Z

AE/test/runtests.jl

foldfelis/ML101.jl

b4b217ac4af88ba460ec26c5c8a1ce322edae64a

[ "MIT" ]

5

2021-02-22T21:59:07.000Z

2021-05-05T07:29:55.000Z

AE/test/runtests.jl

foldfelis/ML101.jl

b4b217ac4af88ba460ec26c5c8a1ce322edae64a

[ "MIT" ]

1

2021-02-28T07:04:06.000Z

using AE using Test @testset "AE.jl" begin end

7

22

0.714286

[ "@testset \"AE.jl\" begin\n\nend" ]

f702b1e015efb351ee28034b390c3e7d1c8857bc

7,933

jl

Julia

src/OrthoPolynomials.jl

OpenLibMathSeq/Sequences

e53c1f30b7bf81669805f21d408d407b727615b5

[ "MIT" ]

6

2019-06-25T08:54:44.000Z

2021-11-07T04:52:29.000Z

src/OrthoPolynomials.jl

OpenLibMathSeq/Sequences

e53c1f30b7bf81669805f21d408d407b727615b5

[ "MIT" ]

3

2019-04-30T19:07:41.000Z

2019-06-04T15:51:34.000Z

src/OrthoPolynomials.jl

PeterLuschny/IntegerSequences.jl

1b9440bc8b86e3ae74fd26ee48fba412befbbdb5

[ "MIT" ]

4

2019-04-30T17:00:10.000Z

2020-02-08T11:32:39.000Z

# This file is part of IntegerSequences. # Copyright Peter Luschny. License is MIT. (@__DIR__) ∉ LOAD_PATH && push!(LOAD_PATH, (@__DIR__)) module OrthoPolynomials using Nemo, Triangles export ModuleOrthoPolynomials export OrthoPoly, InvOrthoPoly export T053121, T216916, T217537, T064189, T202327, T111062, T099174 ex...

23.680597

268

0.577209

[ "@testset \"OrthoPoly\" begin\n\n @test isa(OrthoPoly(10, n -> 1, n -> n + 1)[end], fmpz)\n @test isa(InvOrthoPoly(10, n -> 1, n -> n + 1)[end], fmpz)\n @test RowSums(T217537(8)) == L217924(8)\n\n if data_installed()\n\n T = [\n T066325,\n T049310...

f702dea5779e5262fac4b7f8e161329cc0c3f6d4

2,303

jl

Julia

test/runtests.jl

felipenoris/SplitIterators.jl

6ad384e290feed1339e94ff169b58922a3785359

[ "MIT" ]

2

2021-08-22T14:45:30.000Z

2022-03-19T19:34:46.000Z

test/runtests.jl

felipenoris/SplitIterators.jl

6ad384e290feed1339e94ff169b58922a3785359

[ "MIT" ]

null

test/runtests.jl

felipenoris/SplitIterators.jl

6ad384e290feed1339e94ff169b58922a3785359

[ "MIT" ]

null

using Test import SplitIterators @testset "split 11 by 3" begin x = collect(1:11) for (i, part) in enumerate(SplitIterators.split(x, 3)) if i == 1 @test part == collect(1:4) elseif i == 2 @test part == collect(5:8) elseif i == 3 @test part == colle...

21.933333

138

0.539731

[ "@testset \"split 11 by 3\" begin\n x = collect(1:11)\n\n for (i, part) in enumerate(SplitIterators.split(x, 3))\n if i == 1\n @test part == collect(1:4)\n elseif i == 2\n @test part == collect(5:8)\n elseif i == 3\n @test part == collect(9:11)\n el...

f7065123fa9d24e80182de827c92598269a8c321

122

jl

Julia

test/runtests.jl

Teslos/MyExample.jl

014079e8dd99a63c1ff8340d1d9ed670ed8e91ad

[ "MIT" ]

null

test/runtests.jl

Teslos/MyExample.jl

014079e8dd99a63c1ff8340d1d9ed670ed8e91ad

[ "MIT" ]

null

test/runtests.jl

Teslos/MyExample.jl

014079e8dd99a63c1ff8340d1d9ed670ed8e91ad

[ "MIT" ]

null

using MyExample using Test #2x + 3y @testset "MyExample.jl" begin @test my_f(2,1) == 7 @test my_f(2,3) == 13 end

13.555556

29

0.622951

[ "@testset \"MyExample.jl\" begin\n @test my_f(2,1) == 7\n @test my_f(2,3) == 13\nend" ]

f7071fefba07848f0e49c2ef170c0eb46f03133d

1,564

jl

Julia

test/Ocean/SplitExplicit/test_coriolis.jl

ErikQQY/ClimateMachine.jl

ad128d457dd877bf21b5bcd845d6c3fa42de3f8a

[ "Apache-2.0" ]

256

2020-05-06T08:03:16.000Z

2022-03-22T14:01:20.000Z

test/Ocean/SplitExplicit/test_coriolis.jl

ErikQQY/ClimateMachine.jl

ad128d457dd877bf21b5bcd845d6c3fa42de3f8a

[ "Apache-2.0" ]

1,174

2020-05-06T16:19:51.000Z

2022-02-25T17:51:13.000Z

test/Ocean/SplitExplicit/test_coriolis.jl

ErikQQY/ClimateMachine.jl

ad128d457dd877bf21b5bcd845d6c3fa42de3f8a

[ "Apache-2.0" ]

45

2020-05-08T02:28:36.000Z

2022-03-14T22:44:56.000Z

#!/usr/bin/env julia --project using Test include("hydrostatic_spindown.jl") ClimateMachine.init() const FT = Float64 ################# # RUN THE TESTS # ################# @testset "$(@__FILE__)" begin include("../refvals/hydrostatic_spindown_refvals.jl") # simulation time timeend = FT(15 * 24 * 3600) ...

20.578947

77

0.555627

[ "@testset \"$(@__FILE__)\" begin\n\n include(\"../refvals/hydrostatic_spindown_refvals.jl\")\n\n # simulation time\n timeend = FT(15 * 24 * 3600) # s\n tout = FT(24 * 3600) # s\n timespan = (tout, timeend)\n\n # DG polynomial order\n N = Int(4)\n\n # Domain resolution\n Nˣ = Int(5)\n N...

f70bd5fdbd81a3e0a966c69edae9271ec76b4c57

396

jl

Julia

test/runtests.jl

hendri54/CollegeEntry

bcbd6434fdd7f66944075b0b85efbfd8f6e6ac29

[ "MIT" ]

null

test/runtests.jl

hendri54/CollegeEntry

bcbd6434fdd7f66944075b0b85efbfd8f6e6ac29

[ "MIT" ]

null

test/runtests.jl

hendri54/CollegeEntry

bcbd6434fdd7f66944075b0b85efbfd8f6e6ac29

[ "MIT" ]

null

using CollegeEntry, ModelObjectsLH, ModelParams using Test, TestSetExtensions include("test_helpers.jl") @testset "All" begin include("helpers_test.jl") include("admissions_test.jl"); include("admission_prob_test.jl"); include("student_rankings_test.jl") include("entry_test.jl"); include("entr...

24.75

47

0.719697

[ "@testset \"All\" begin\n include(\"helpers_test.jl\")\n include(\"admissions_test.jl\");\n include(\"admission_prob_test.jl\");\n include(\"student_rankings_test.jl\")\n include(\"entry_test.jl\");\n include(\"entry_decisions_test.jl\")\n include(\"entry_results_test.jl\")\nend" ]

f70c3ff4968c391bb44e7f54b612f4bd73c46365

1,192

jl

Julia

test/GLMesh.jl

cvdlab/ViewerGL.js

ae28d7808699f9c34add4ad265b68a84bfa14842

[ "MIT" ]

4

2019-07-25T23:07:18.000Z

2021-09-05T18:38:20.000Z

test/GLMesh.jl

cvdlab/ViewerGL.js

ae28d7808699f9c34add4ad265b68a84bfa14842

[ "MIT" ]

null

test/GLMesh.jl

cvdlab/ViewerGL.js

ae28d7808699f9c34add4ad265b68a84bfa14842

[ "MIT" ]

31

2019-10-09T14:09:51.000Z

2022-03-31T14:52:35.000Z

using Test using LinearAlgebraicRepresentation Lar = LinearAlgebraicRepresentation using ViewerGL GL = ViewerGL @testset "GLMesh.jl" begin # function GLMesh() @testset "GLMesh" begin @test @test @test @test end # function GLMesh(primitive) @testset "GLMesh" begin @test ...

16.108108

64

0.589765

[ "@testset \"GLMesh.jl\" begin\n\n # function GLMesh()\n @testset \"GLMesh\" begin\n @test\n @test\n @test\n @test\n end\n\n # function GLMesh(primitive)\n @testset \"GLMesh\" begin\n @test\n @test\n @test\n @test\n end\n\n # function releaseGpuResources(mesh::GL...

f70ccf8b21eeac0bbd8a4ce08b4cb71e0206dba4

3,529

jl

Julia

test/knr/testknr.jl

UnofficialJuliaMirrorSnapshots/SimilaritySearch.jl-053f045d-5466-53fd-b400-a066f88fe02a

70c46490431ca7d0e5cf41052bc36afc4ba3c8fa

[ "Apache-2.0" ]

null

test/knr/testknr.jl

UnofficialJuliaMirrorSnapshots/SimilaritySearch.jl-053f045d-5466-53fd-b400-a066f88fe02a

70c46490431ca7d0e5cf41052bc36afc4ba3c8fa

[ "Apache-2.0" ]

null

test/knr/testknr.jl

UnofficialJuliaMirrorSnapshots/SimilaritySearch.jl-053f045d-5466-53fd-b400-a066f88fe02a

70c46490431ca7d0e5cf41052bc36afc4ba3c8fa

[ "Apache-2.0" ]

null

using SimilaritySearch using SimilaritySearch.SimilarReferences using Test function test_vectors(create_index, dist::Function, ksearch, nick) @testset "indexing vectors with $nick and $dist" begin n = 1000 # number of items in the dataset m = 100 # number of queries dim = 3 # vector's di...

32.081818

151

0.597053

[ "@testset \"indexing vectors\" begin\n # NOTE: The following algorithms are complex enough to say we are testing it doesn't have syntax errors, a more grained test functions are required\n ksearch = 10\n σ = 127\n κ = 3\n\n for dist in [\n l2_distance, # 1.0 -> metric, < 1.0 if dist is not a m...

f70e234e93c6e69904c72f38c7eaec1a83d715df

1,759

jl

Julia

test/rountines.jl

UnofficialJuliaMirror/YaoBlocks.jl-418bc28f-b43b-5e0b-a6e7-61bbc1a2c1df

703091b543e95e6e4a3d7fe451c29ce0dd423c73

[ "Apache-2.0" ]

null

test/rountines.jl

UnofficialJuliaMirror/YaoBlocks.jl-418bc28f-b43b-5e0b-a6e7-61bbc1a2c1df

703091b543e95e6e4a3d7fe451c29ce0dd423c73

[ "Apache-2.0" ]

null

test/rountines.jl

UnofficialJuliaMirror/YaoBlocks.jl-418bc28f-b43b-5e0b-a6e7-61bbc1a2c1df

703091b543e95e6e4a3d7fe451c29ce0dd423c73

[ "Apache-2.0" ]

null

using Test, YaoBlocks, LuxurySparse, YaoBase using YaoBlocks.ConstGate import YaoBlocks: u1mat, unmat, cunmat, unij! @testset "dense-u1mat-unmat" begin nbit = 4 mmm = Rx(0.5) |> mat m1 = u1mat(nbit, mmm, 2) m2 = linop2dense(v -> instruct!(v, mmm, 2), nbit) m3 = unmat(nbit, mmm, (2,)) @test m1 ≈...

30.327586

92

0.529847

[ "@testset \"dense-u1mat-unmat\" begin\n nbit = 4\n mmm = Rx(0.5) |> mat\n m1 = u1mat(nbit, mmm, 2)\n m2 = linop2dense(v -> instruct!(v, mmm, 2), nbit)\n m3 = unmat(nbit, mmm, (2,))\n @test m1 ≈ m2\n @test m1 ≈ m3\n\n # test control not\n ⊗ = kron\n res = mat(I2) ⊗ mat(I2) ⊗ mat(P1) ⊗ m...

f712c2d65d4c6d110cc2b0191f55497c456cc7a7

945

jl

Julia

Projects/Projet_Optinum/test/runtests.jl

faicaltoubali/ENSEEIHT

6db0aef64d68446b04f17d1eae574591026002b5

[ "Apache-2.0" ]

null

Projects/Projet_Optinum/test/runtests.jl

faicaltoubali/ENSEEIHT

6db0aef64d68446b04f17d1eae574591026002b5

[ "Apache-2.0" ]

null

Projects/Projet_Optinum/test/runtests.jl

faicaltoubali/ENSEEIHT

6db0aef64d68446b04f17d1eae574591026002b5

[ "Apache-2.0" ]

null

using Markdown using Test using LinearAlgebra using TestOptinum using Optinum include("../src/Algorithme_De_Newton.jl") include("../src/Gradient_Conjugue_Tronque.jl") include("../src/Lagrangien_Augmente.jl") include("../src/Pas_De_Cauchy.jl") include("../src/Regions_De_Confiance.jl") #TestOptinum.cacher_stacktrace() ...

27.794118

70

0.812698

[ "@testset \"Test SujetOptinum\" begin\n\t# Tester l'algorithme de Newton\n\ttester_algo_newton(affiche,Algorithme_De_Newton)\n\n\t# Tester l'algorithme du pas de Cauchy\n\ttester_pas_de_cauchy(affiche,Pas_De_Cauchy)\n\n\t# Tester l'algorithme du gradient conjugué tronqué\n\ttester_gct(affiche,Gradient_Conjugue_Tron...

f71360a2dafb0db950b40e740ced0cc7c4d67b27

1,820

jl

Julia

test/test_returning_original.jl

TheRoniOne/Cleaner

7279c8e8e92a9763ed72f8614f9a77ddbd40fade

[ "MIT" ]

16

2021-08-20T10:07:04.000Z

2022-02-07T18:09:40.000Z

test/test_returning_original.jl

TheRoniOne/Cleaner

7279c8e8e92a9763ed72f8614f9a77ddbd40fade

[ "MIT" ]

2

2021-08-17T06:09:49.000Z

2022-02-06T01:36:49.000Z

test/test_returning_original.jl

TheRoniOne/Cleaner

7279c8e8e92a9763ed72f8614f9a77ddbd40fade

[ "MIT" ]

null

using Test using Cleaner: materializer, compact_table_ROT, compact_columns_ROT, compact_rows_ROT, delete_const_columns_ROT, polish_names_ROT, reinfer_schema_ROT, row_as_names_ROT, rename_ROT, drop_missing_ROT, add_index_ROT using DataFrames: DataFrame @testset "ROT functions...

31.37931

88

0.590659

[ "@testset \"ROT functions are working as expected\" begin\n testRM1 = DataFrame(;\n A=[missing, missing, missing], B=[1, missing, 3], C=[\"x\", \"\", \"z\"]\n )\n\n @test compact_columns_ROT(testRM1) isa DataFrame\n @test compact_rows_ROT(testRM1) isa DataFrame\n @test compact_table_ROT(testRM...

f7139c61b9baf05db45b88230b03c8047a37b777

2,615

jl

Julia

test/testProductReproducable.jl

dehann/iSAM.jl

61869753a76717b1019756d09785a784fdafe3ab

[ "MIT" ]

null

test/testProductReproducable.jl

dehann/iSAM.jl

61869753a76717b1019756d09785a784fdafe3ab

[ "MIT" ]

null

test/testProductReproducable.jl

dehann/iSAM.jl

61869753a76717b1019756d09785a784fdafe3ab

[ "MIT" ]

null

# test for conv and product repeatability using Test using Statistics using IncrementalInference ## @testset "forward backward convolutions and products sequence" begin fg = initfg() addVariable!(fg, :a, ContinuousScalar) addVariable!(fg, :b, ContinuousScalar) addVariable!(fg, :c, ContinuousScalar) addVariable!(f...

25.144231

83

0.676482

[ "@testset \"forward backward convolutions and products sequence\" begin\n\nfg = initfg()\n\naddVariable!(fg, :a, ContinuousScalar)\naddVariable!(fg, :b, ContinuousScalar)\naddVariable!(fg, :c, ContinuousScalar)\naddVariable!(fg, :d, ContinuousScalar)\naddVariable!(fg, :e, ContinuousScalar)\n\naddFactor!(fg, [:a], P...

f7153aaee71132dc4b60ff01c3f91af6c17752a3

5,750

jl

Julia

test/runtests.jl

burmecia/OpenAIGym.jl

087bec95d13ca85216a0eaa7d47f50cda2867367

[ "MIT" ]

86

2017-02-24T20:25:05.000Z

2022-03-31T04:50:07.000Z

test/runtests.jl

burmecia/OpenAIGym.jl

087bec95d13ca85216a0eaa7d47f50cda2867367

[ "MIT" ]

31

2017-08-06T17:27:08.000Z

2020-08-05T16:05:07.000Z

test/runtests.jl

burmecia/OpenAIGym.jl

087bec95d13ca85216a0eaa7d47f50cda2867367

[ "MIT" ]

30

2017-03-20T22:06:01.000Z

2021-09-24T04:38:33.000Z

using OpenAIGym using PyCall using Test """ `function time_steps(env::GymEnv{T}, num_eps::Int) where T` run through num_eps eps, recording the time taken for each step and how many steps were made. Doesn't time the `reset!` or the first step of each episode (since higher chance that it's slower/faster than the rest, ...

33.430233

105

0.488348

[ "@testset \"Gym Basics\" begin\n\n pong = GymEnv(:Pong, :v4)\n pongnf = GymEnv(:PongNoFrameskip, :v4)\n pacman = GymEnv(:MsPacman, :v4)\n pacmannf = GymEnv(:MsPacmanNoFrameskip, :v4)\n cartpole = GymEnv(:CartPole)\n bj = GymEnv(:Blackjack)\n\n allenvs = [pong, pongnf, pacman, pacmannf, cartpole...

f7183b3be5ea2b30e86fc2f42f90233e708e517b

2,245

jl

Julia

test/runtests.jl

maarten-keijzer/AdaptiveWindow.jl

5bd90a475110ac5f6dd88226286455da0f8d87bf

[ "MIT" ]

1

2022-01-04T13:50:24.000Z

test/runtests.jl

maarten-keijzer/AdaptiveWindow.jl

5bd90a475110ac5f6dd88226286455da0f8d87bf

[ "MIT" ]

null

test/runtests.jl

maarten-keijzer/AdaptiveWindow.jl

5bd90a475110ac5f6dd88226286455da0f8d87bf

[ "MIT" ]

null

using AdaptiveWindows using Test @testset verbose=true "Adaptive Mean" begin @testset "Mean Computation " begin m = AdaptiveMean(δ = 1e-9) r = randn(1000) fit!(m, r) m1 = sum(r) / length(r) m2 = value(m) @test m1 ≈ m2 ad = AdaptiveMean() # This...

23.385417

69

0.50245

[ "@testset verbose=true \"Adaptive Mean\" begin\n\n @testset \"Mean Computation \" begin\n m = AdaptiveMean(δ = 1e-9)\n\n r = randn(1000)\n\n fit!(m, r)\n\n m1 = sum(r) / length(r)\n m2 = value(m)\n\n @test m1 ≈ m2\n ad = AdaptiveMean()\n\n # This should not...

f71fdd500cffb77f7512f74f826a1a508b234e8f

34,448

jl

Julia

test/runtests.jl

bkamins/Statistics.jl

81a1cdd6c2105d3e50f76375630bbed4744e67c1

[ "MIT" ]

null

test/runtests.jl

bkamins/Statistics.jl

81a1cdd6c2105d3e50f76375630bbed4744e67c1

[ "MIT" ]

null

test/runtests.jl

bkamins/Statistics.jl

81a1cdd6c2105d3e50f76375630bbed4744e67c1

[ "MIT" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license using Statistics, Test, Random, LinearAlgebra, SparseArrays using Test: guardseed Random.seed!(123) @testset "middle" begin @test middle(3) === 3.0 @test middle(2, 3) === 2.5 let x = ((floatmax(1.0)/4)*3) @test middle(x...

40.102445

175

0.536054

[ "@testset \"middle\" begin\n @test middle(3) === 3.0\n @test middle(2, 3) === 2.5\n let x = ((floatmax(1.0)/4)*3)\n @test middle(x, x) === x\n end\n @test middle(1:8) === 4.5\n @test middle([1:8;]) === 4.5\n\n # ensure type-correctness\n for T in [Bool,Int8,Int16,Int32,Int64,Int128,UI...

f720458e4c141a29498437c4c4276797a74a93c1

1,913

jl

Julia

test/runtests.jl

JuliaGeo/GDAL.jl

3838e938642712cf8a98c52df5937dcfdb19221e

[ "MIT" ]

61

2018-07-30T12:45:24.000Z

2022-03-31T20:23:46.000Z

test/runtests.jl

JuliaGeo/GDAL.jl

3838e938642712cf8a98c52df5937dcfdb19221e

[ "MIT" ]

67

2018-06-11T15:59:17.000Z

2022-03-02T21:42:54.000Z

test/runtests.jl

JuliaGeo/GDAL.jl

3838e938642712cf8a98c52df5937dcfdb19221e

[ "MIT" ]

14

2018-12-03T22:05:51.000Z

2021-09-30T10:58:04.000Z

using GDAL using Test @testset "GDAL" begin # drivers # before being able to use any drivers, they must be registered first GDAL.gdalallregister() version = GDAL.gdalversioninfo("--version") n_gdal_driver = GDAL.gdalgetdrivercount() n_ogr_driver = GDAL.ogrgetdrivercount() @info """$versio...

33.561404

79

0.679038

[ "@testset \"GDAL\" begin\n\n # drivers\n # before being able to use any drivers, they must be registered first\n GDAL.gdalallregister()\n\n version = GDAL.gdalversioninfo(\"--version\")\n n_gdal_driver = GDAL.gdalgetdrivercount()\n n_ogr_driver = GDAL.ogrgetdrivercount()\n @info \"\"\"$version\...

f7215512da0154c3cb3b231e83d4d4e0ca40097a

2,666

jl

Julia

test/test_fileio.jl

chenspc/OWEN.jl

842c8672dbc001180d980430e20652101929f32f

[ "MIT" ]

null

test/test_fileio.jl

chenspc/OWEN.jl

842c8672dbc001180d980430e20652101929f32f

[ "MIT" ]

2

2019-11-13T23:18:11.000Z

2020-02-08T16:40:57.000Z

test/test_fileio.jl

chenspc/OWEN.jl

842c8672dbc001180d980430e20652101929f32f

[ "MIT" ]

1

2020-02-08T10:46:07.000Z

using Kahuna using Test @testset "kahuna_read" begin @testset ".dm3 files" begin @test 2 + 2 == 4 end @testset ".dm4 files" begin @test 2 + 2 == 4 end @testset ".hdf5/.h5 files" begin @test 2 + 2 == 4 end @testset ".mat files" begin # matfile = "test/samp...

33.746835

127

0.594524

[ "@testset \"kahuna_read\" begin\n\n @testset \".dm3 files\" begin\n @test 2 + 2 == 4\n end\n\n @testset \".dm4 files\" begin\n @test 2 + 2 == 4\n end\n\n @testset \".hdf5/.h5 files\" begin\n @test 2 + 2 == 4\n end\n\n @testset \".mat files\" begin\n # matfile = \"tes...

f7262dc1d65caed99f539aa39adc09adecee3524

1,713

jl

Julia

test/simple_runner_tests.jl

grahamstark/ScottishTaxBenefitModel.jl

42ca32a100c862c58bbcd98f6264f08d78453b5c

[ "MIT" ]

null

test/simple_runner_tests.jl

grahamstark/ScottishTaxBenefitModel.jl

42ca32a100c862c58bbcd98f6264f08d78453b5c

[ "MIT" ]

null

test/simple_runner_tests.jl

grahamstark/ScottishTaxBenefitModel.jl

42ca32a100c862c58bbcd98f6264f08d78453b5c

[ "MIT" ]

null

using Test using CSV using DataFrames using StatsBase using BenchmarkTools using ScottishTaxBenefitModel using ScottishTaxBenefitModel.GeneralTaxComponents using ScottishTaxBenefitModel.STBParameters using ScottishTaxBenefitModel.Runner: do_one_run! using ScottishTaxBenefitModel.RunSettings: Settings, MT_Routing using...

32.320755

85

0.725044

[ "@testset \"basic run timing\" begin\n for mt in instances( MT_Routing )\n println( \"starting run using $mt routing\")\n @time basic_run( print_test=true, mtrouting = mt )\n end\n # @benchmark frames = \n # print(t)\nend" ]

f727f80483dbefe80bf5db5ac82e2786aea040ee

1,036

jl

Julia

test/runtests.jl

mauro3/course-101-0250-00-L6Testing.jl

c7d47e770d5eabbf7f28784f9a9bd279a3042af8

[ "MIT" ]

1

2022-03-01T09:48:55.000Z

test/runtests.jl

mauro3/course-101-0250-00-L6Testing.jl

c7d47e770d5eabbf7f28784f9a9bd279a3042af8

[ "MIT" ]

null

test/runtests.jl

mauro3/course-101-0250-00-L6Testing.jl

c7d47e770d5eabbf7f28784f9a9bd279a3042af8

[ "MIT" ]

1

2021-11-02T10:16:55.000Z

using Test, ReferenceTests, BSON include("../scripts/car_travels.jl") ## Unit tests @testset "update_position" begin @test update_position(0.0, 10, 1, 1, 200)[1] ≈ 10.0 @test update_position(0.0, 10, 1, 1, 200)[2] == 1 @test update_position(0.0, 10, -1, 1, 200)[1] ≈ -10.0 @test update_position(0.0, 1...

28.777778

65

0.642857

[ "@testset \"update_position\" begin\n @test update_position(0.0, 10, 1, 1, 200)[1] ≈ 10.0\n @test update_position(0.0, 10, 1, 1, 200)[2] == 1\n\n @test update_position(0.0, 10, -1, 1, 200)[1] ≈ -10.0\n @test update_position(0.0, 10, -1, 1, 200)[2] == 1\n\n @test update_position(0.0, 10, -1, 1, 200)[1...

f72e3f7fe6055a37c495d6361bfec1323eaa14a6

89

jl

Julia

test/runtests.jl

Shoram444/MPThemes.jl

86a6699f70a3b7f77d6ae6a248b285cb46f26852

[ "MIT" ]

null

test/runtests.jl

Shoram444/MPThemes.jl

86a6699f70a3b7f77d6ae6a248b285cb46f26852

[ "MIT" ]

null

test/runtests.jl

Shoram444/MPThemes.jl

86a6699f70a3b7f77d6ae6a248b285cb46f26852

[ "MIT" ]

null

using MPThemes using Test @testset "MPThemes.jl" begin # Write your tests here. end

12.714286

28

0.730337

[ "@testset \"MPThemes.jl\" begin\n # Write your tests here.\nend" ]

f72eb56564b1565aeb3c77581bcff74072f7b438

14,033

jl

Julia

test/runtests.jl

Physics-Simulations/UncValue.jl

0597853fc2951732d2c8e5cc1625e075de08b7b5

[ "Apache-2.0" ]

null

test/runtests.jl

Physics-Simulations/UncValue.jl

0597853fc2951732d2c8e5cc1625e075de08b7b5

[ "Apache-2.0" ]

null

test/runtests.jl

Physics-Simulations/UncValue.jl

0597853fc2951732d2c8e5cc1625e075de08b7b5

[ "Apache-2.0" ]

null

using Test using Statistics include("../src/UncValue.jl") using ..UncValue a = Value(3.1415, 0.0012) b = Value(2.7182818, 3.4e-6) c = Value(36458.246, 25.64) @testset "constructor" begin @test a.x == 3.1415 @test a.σ == 0.0012 @test_throws ErrorException Value(4.1, -2.4) d = Value(5.248) @test ...

21.326748

77

0.481579

[ "@testset \"constructor\" begin\n @test a.x == 3.1415\n @test a.σ == 0.0012\n\n @test_throws ErrorException Value(4.1, -2.4)\n\n d = Value(5.248)\n @test d.x == 5.248\n @test d.σ == 0\n\n d = Value(8.0, 1)\n @test typeof(d.x) == typeof(d.σ)\n\n d = Value(8, 0.2)\n @test typeof(d.x) == ...

f72f043be09d590c6643ffb83677e3fd865d1d0f

47,300

jl

Julia

stdlib/SparseArrays/test/sparsevector.jl

ninjin/julia

2d589cca94c502a696fc5e234835560e28b9efd3

[ "Zlib" ]

null

stdlib/SparseArrays/test/sparsevector.jl

ninjin/julia

2d589cca94c502a696fc5e234835560e28b9efd3

[ "Zlib" ]

null

stdlib/SparseArrays/test/sparsevector.jl

ninjin/julia

2d589cca94c502a696fc5e234835560e28b9efd3

[ "Zlib" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license module SparseVectorTests using Test using SparseArrays using LinearAlgebra using Random ### Data spv_x1 = SparseVector(8, [2, 5, 6], [1.25, -0.75, 3.5]) @test isa(spv_x1, SparseVector{Float64,Int}) x1_full = zeros(length(spv_x1)) x1_ful...

37.039937

139

0.525666

[ "@testset \"basic properties\" begin\n x = spv_x1\n @test eltype(x) == Float64\n @test ndims(x) == 1\n @test length(x) == 8\n @test size(x) == (8,)\n @test size(x,1) == 8\n @test size(x,2) == 1\n @test !isempty(x)\n\n @test count(!iszero, x) == 3\n @test nnz(x) == 3\n @test SparseAr...

f730d51ff329e5659dc3f251a93b3a0a168c5381

1,610

jl

Julia

test/primitive/math_gate.jl

yihong-zhang/YaoBlocks.jl

9bd8f309b5c258968fb5ce4c2f12fc5e854d8b68

[ "Apache-2.0" ]

null

test/primitive/math_gate.jl

yihong-zhang/YaoBlocks.jl

9bd8f309b5c258968fb5ce4c2f12fc5e854d8b68

[ "Apache-2.0" ]

null

test/primitive/math_gate.jl

yihong-zhang/YaoBlocks.jl

9bd8f309b5c258968fb5ce4c2f12fc5e854d8b68

[ "Apache-2.0" ]

null

using Test, YaoArrayRegister, YaoBlocks, BitBasis function toffli(b::BitStr) t = @inbounds b[1] ⊻ (b[3] & b[2]) return @inbounds bit_literal(t, b[2], b[3]) end """ pshift(n::Int) -> Function return a peridoc shift function. """ pshift(n::Int) = (b::Int, nbit::Int) -> mod(b+n, 1<<nbit) pshift(n::Float64) ...

31.568627

75

0.642236

[ "@testset \"test toffli\" begin\n g = mathgate(toffli; nbits=3)\n check_truth(b1, b2) = apply!(ArrayReg(b1), g) == ArrayReg(b2)\n @test check_truth(bit\"000\", bit\"000\")\n @test check_truth(bit\"001\", bit\"001\")\n @test check_truth(bit\"010\", bit\"010\")\n @test check_truth(bit\"011\", bit\"0...

f734da2f58ca1f6ada84ab9f502fd62d59c0226b

3,542

jl

Julia

test/runtests.jl

andLaing/NReco

376b272cc0fe480295c07a54166dbf69e456a95f

[ "MIT" ]

null

test/runtests.jl

andLaing/NReco

376b272cc0fe480295c07a54166dbf69e456a95f

[ "MIT" ]

7

2021-09-09T16:28:35.000Z

2021-11-19T17:17:07.000Z

test/runtests.jl

andLaing/NReco

376b272cc0fe480295c07a54166dbf69e456a95f

[ "MIT" ]

1

2021-09-01T09:29:39.000Z

using NReco using ATools using Test using DataFrames using Distributions using Statistics using Logging using DataFrames #using StatsModels # Lower function verbosity logger = global_logger(SimpleLogger(stdout, Logging.Warn)) fname = "testdata/n3-window-1m-LXe-20mm-1-20.h5" pdf = NReco.read_abc(fname) dconf = NReco....

38.5

90

0.616036

[ "@testset \"util\" begin\n @test NReco.select_by_index(sxyz,\n \"sensor_id\", 0) == NReco.select_by_column_value(sxyz, \"sensor_id\", 0)\n\n wevt = NReco.select_event(wfm, 4995000)\n @test mean(wevt.time) ≈ 42.39652f0\n @test NReco.select_by_column_value(wevt, \"sensor_id\", 1783).sensor_id[1] == 178...

f73aa376c1505d72bbbd394595028887abf04dd4

2,096

jl

Julia

test/test-partial.jl

JobJob/Partial.jl

7b2853c614b21ef2b89c700fa75db5c9d1efe60e

[ "MIT" ]

1

2019-11-01T17:28:10.000Z

test/test-partial.jl

JobJob/Partial.jl

7b2853c614b21ef2b89c700fa75db5c9d1efe60e

[ "MIT" ]

null

test/test-partial.jl

JobJob/Partial.jl

7b2853c614b21ef2b89c700fa75db5c9d1efe60e

[ "MIT" ]

null

using Test @testset "Quite partial to it really" begin add3 = @p(3 + _) @test add3(7) == 10 add4r = @p(_ + 4) @test add4r(7) == 11 lt10 = @partial _ < 10 @test lt10(7) == true @test lt10(27) == false gt10 = @p(10 < _) @test gt10(17) == true @test gt10(7) == false fn_of7_and_10 = @p _(7,10) @...

23.288889

62

0.59208

[ "@testset \"Quite partial to it really\" begin\n add3 = @p(3 + _)\n @test add3(7) == 10\n add4r = @p(_ + 4)\n @test add4r(7) == 11\n\n lt10 = @partial _ < 10\n @test lt10(7) == true\n @test lt10(27) == false\n\n gt10 = @p(10 < _)\n @test gt10(17) == true\n @test gt10(7) == false\n\n fn_of7_and_10 = @p _(...

f73b2208bf8dde34eed198d7565342859f8c432d

11,102

jl

Julia

julia/test/runtests.jl

magland/FMM3D

49284e2270e164ac1c05478b74c3ccf5f1d3c9de

[ "Apache-2.0" ]

71

2019-06-03T21:22:37.000Z

2022-03-03T01:15:45.000Z

julia/test/runtests.jl

magland/FMM3D

49284e2270e164ac1c05478b74c3ccf5f1d3c9de

[ "Apache-2.0" ]

14

2019-08-22T19:58:36.000Z

2022-02-08T19:01:06.000Z

julia/test/runtests.jl

magland/FMM3D

49284e2270e164ac1c05478b74c3ccf5f1d3c9de

[ "Apache-2.0" ]

23

2019-09-13T21:30:35.000Z

2022-02-26T12:34:42.000Z

using FMM3D using Test using Random using LinearAlgebra @testset "testing Helmholtz utilities" begin n = 1000 nt = 1100 sources = randn(3,n) targets = randn(3,nt) charges = randn(n) + im*randn(n) dipvecs = randn(3,n) + im*randn(3,n) zk = 2.1 vals1c = h3ddir(zk,sources,targets,charges=...

38.818182

83

0.647721

[ "@testset \"testing Helmholtz utilities\" begin\n\n n = 1000\n nt = 1100\n sources = randn(3,n)\n targets = randn(3,nt)\n charges = randn(n) + im*randn(n)\n dipvecs = randn(3,n) + im*randn(3,n)\n zk = 2.1\n\n vals1c = h3ddir(zk,sources,targets,charges=charges,\n pgt=2,thre...

f73b80024cd7d4ea135105c3bba9a1f6640b5291

1,492

jl

Julia

test/runtests.jl

anubhavpcjha/lolPackage

5a1649076dba63c3dcef0bf9a7dadec1a6be755a

[ "MIT" ]

null

test/runtests.jl

anubhavpcjha/lolPackage

5a1649076dba63c3dcef0bf9a7dadec1a6be755a

[ "MIT" ]

null

test/runtests.jl

anubhavpcjha/lolPackage

5a1649076dba63c3dcef0bf9a7dadec1a6be755a

[ "MIT" ]

null

using lolPackage using Test #TEST 1 WITH DERIVATIVES f(x)=x^2 fprime(x)=2*x @test Newtonsroot1(f,fprime,xiv=0.1)[1]≈0.0 atol=0.00001 f(x)=x^2-16 fprime(x)=2*x @test Newtonsroot1(f,fprime,xiv=3.1)[1]≈4.0 atol=0.00001 f(x)=(x-2)^2 fprime(x)=2*(x-2) @test Newtonsroo...

22.953846

76

0.577748

[ "@testset \"BigFloat\" begin\n @test Newtonsroot1(f,xiv=1.0)[1]≈2.0 atol=0.00001\n @test Newtonsroot1(f,xiv=1.0)[1]≈a atol=0.00001\n end", "@testset \"maxiter\" begin\n @test a≈4.851651954097909e8 atol=0.000001 \n @test b==nothing\n end" ]

f741fd5e32a0c3dbe2a6ade881ffd5908885f136

1,284

jl

Julia

test/rank_by_stability.jl

Durzot/MT_NMF

a3e3c2fb4a23cc09e78e1ad1e324787c6017a4fc

[ "MIT" ]

null

test/rank_by_stability.jl

Durzot/MT_NMF

a3e3c2fb4a23cc09e78e1ad1e324787c6017a4fc

[ "MIT" ]

null

test/rank_by_stability.jl

Durzot/MT_NMF

a3e3c2fb4a23cc09e78e1ad1e324787c6017a4fc

[ "MIT" ]

null

using Distributions using VariantsNMF using Test #### simulate V = get_one_simulated_V() V = round.(V .* 100) @testset "nmf_MU" begin #### params for rank selection rs_params = RSParams( K_min = 1, K_max = 10, n_iter = 50, pert_meth = :multinomial, seed ...

24.692308

59

0.561526

[ "@testset \"nmf_MU\" begin\n #### params for rank selection\n rs_params = RSParams(\n K_min = 1,\n K_max = 10,\n n_iter = 50,\n pert_meth = :multinomial,\n seed = 123\n )\n\n #### nmf algorithm\n nmf_global_params = NMFParams(\n init ...

f747730293c3fc3d56a4caca670cbd8c766fef15

333

jl

Julia

test/runtests.jl

NHDaly/SimpleMock.jl

5e79a57f5987f6d54fb7338eb424826ad4e10eac

[ "MIT" ]

12

2020-06-17T23:17:23.000Z

2022-02-16T02:23:01.000Z

test/runtests.jl

NHDaly/SimpleMock.jl

5e79a57f5987f6d54fb7338eb424826ad4e10eac

[ "MIT" ]

10

2019-09-23T06:43:26.000Z

2020-04-20T17:53:49.000Z

test/runtests.jl

NHDaly/SimpleMock.jl

5e79a57f5987f6d54fb7338eb424826ad4e10eac

[ "MIT" ]

3

2019-11-28T06:12:59.000Z

2020-02-08T10:39:16.000Z

using Base: JLOptions using Test: @test, @testset, @test_broken, @test_logs, @test_throws using Suppressor: @capture_err, @suppress using SimpleMock @testset "SimpleMock.jl" begin @testset "Mock type" begin include("mock_type.jl") end @testset "mock function" begin include("mock_fun.jl")...

19.588235

67

0.690691

[ "@testset \"SimpleMock.jl\" begin\n @testset \"Mock type\" begin\n include(\"mock_type.jl\")\n end\n @testset \"mock function\" begin\n include(\"mock_fun.jl\")\n end\nend" ]

f747edbb78daf49b533e6e6c02b4b91157cb7990

6,275

jl

Julia

lib/ClimaCorePlots/test/runtests.jl

CliMA/ClimaCore.jl

e28309249a4c0dea0e8bb897b4dc9ebc376fa94e

[ "Apache-2.0" ]

32

2021-07-19T20:14:46.000Z

2022-03-26T00:18:43.000Z

lib/ClimaCorePlots/test/runtests.jl

CliMA/ClimaCore.jl

e28309249a4c0dea0e8bb897b4dc9ebc376fa94e

[ "Apache-2.0" ]

543

2021-07-06T18:21:05.000Z

2022-03-31T20:39:02.000Z

lib/ClimaCorePlots/test/runtests.jl

CliMA/ClimaCore.jl

e28309249a4c0dea0e8bb897b4dc9ebc376fa94e

[ "Apache-2.0" ]

1

2021-09-27T16:54:21.000Z

ENV["GKSwstype"] = "nul" using Test using IntervalSets import Plots import ClimaCore import ClimaCorePlots OUTPUT_DIR = mkpath(get(ENV, "CI_OUTPUT_DIR", tempname())) @testset "spectral element 2D cubed-sphere" begin R = 6.37122e6 domain = ClimaCore.Domains.SphereDomain(R) mesh = ClimaCore.Meshes.Equian...

32.512953

78

0.69753

[ "@testset \"spectral element 2D cubed-sphere\" begin\n R = 6.37122e6\n\n domain = ClimaCore.Domains.SphereDomain(R)\n mesh = ClimaCore.Meshes.EquiangularCubedSphere(domain, 6)\n grid_topology = ClimaCore.Topologies.Topology2D(mesh)\n quad = ClimaCore.Spaces.Quadratures.GLL{5}()\n space = ClimaCore...

f748d0d5332b45ec25a7812dc2b8a3c93a7a5872

1,030

jl

Julia

test/integration/sequential/trained_weights/MNIST.WK17a_linf0.1_authors.jl

UnofficialJuliaMirror/MIPVerify.jl-e5e5f8be-2a6a-5994-adbb-5afbd0e30425

727a3fc020c03a949b501fbe4c684dca717b5b37

[ "MIT" ]

null

test/integration/sequential/trained_weights/MNIST.WK17a_linf0.1_authors.jl

UnofficialJuliaMirror/MIPVerify.jl-e5e5f8be-2a6a-5994-adbb-5afbd0e30425

727a3fc020c03a949b501fbe4c684dca717b5b37

[ "MIT" ]

null

test/integration/sequential/trained_weights/MNIST.WK17a_linf0.1_authors.jl

UnofficialJuliaMirror/MIPVerify.jl-e5e5f8be-2a6a-5994-adbb-5afbd0e30425

727a3fc020c03a949b501fbe4c684dca717b5b37

[ "MIT" ]

null

using Test using MIPVerify using MIPVerify: LInfNormBoundedPerturbationFamily using MIPVerify: get_example_network_params, read_datasets, get_image, get_label @isdefined(TestHelpers) || include("../../../TestHelpers.jl") @testset "MNIST.WK17a_linf0.1_authors" begin nn = get_example_network_params("MNIST.WK17a_linf...

35.517241

110

0.670874

[ "@testset \"MNIST.WK17a_linf0.1_authors\" begin\n nn = get_example_network_params(\"MNIST.WK17a_linf0.1_authors\")\n mnist = read_datasets(\"mnist\")\n\n test_cases = [\n (1, NaN),\n (2, NaN),\n (9, 0.0940014207),\n (248, 0),\n ]\n\n for test_case in test_cases\n (i...

f749e35e681fa741105c428224ace6bae42fd785

26,953

jl

Julia

test/periods.jl

JeffreySarnoff/DatesPlus.jl

bb263be7983efba2d2da2de40b39a915713ef04d

[ "MIT" ]

1

2022-03-26T06:13:53.000Z

test/periods.jl

JeffreySarnoff/DatesPlus.jl

bb263be7983efba2d2da2de40b39a915713ef04d

[ "MIT" ]

null

test/periods.jl

JeffreySarnoff/DatesPlus.jl

bb263be7983efba2d2da2de40b39a915713ef04d

[ "MIT" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license module PeriodsTest using Dates using Test @testset "basic arithmetic" begin @test -DatesPlus.Year(1) == DatesPlus.Year(-1) @test DatesPlus.Year(1) > DatesPlus.Year(0) @test (DatesPlus.Year(1) < DatesPlus.Year(0)) == false @...

50.379439

192

0.610878

[ "@testset \"basic arithmetic\" begin\n @test -DatesPlus.Year(1) == DatesPlus.Year(-1)\n @test DatesPlus.Year(1) > DatesPlus.Year(0)\n @test (DatesPlus.Year(1) < DatesPlus.Year(0)) == false\n @test DatesPlus.Year(1) == DatesPlus.Year(1)\n @test DatesPlus.Year(1) != 1\n @test DatesPlus.Year(1) + Dat...

f74d5b33bbb3f7745f0f41c3edfe083921144872

6,805

jl

Julia

src/MINLPTests.jl

jump-dev/MINLPTests.jl

9dc2b751de7470dcb4d9a726e11339a8e0bf745c

[ "MIT" ]

3

2020-07-04T22:02:43.000Z

2021-04-16T15:49:34.000Z

src/MINLPTests.jl

jump-dev/MINLPTests.jl

9dc2b751de7470dcb4d9a726e11339a8e0bf745c

[ "MIT" ]

14

2020-06-14T16:44:08.000Z

2022-03-27T01:32:27.000Z

src/MINLPTests.jl

jump-dev/MINLPTests.jl

9dc2b751de7470dcb4d9a726e11339a8e0bf745c

[ "MIT" ]

2

2020-07-24T16:22:09.000Z

2020-07-25T02:23:53.000Z

module MINLPTests using JuMP using Test ### ### Default tolerances that are used in the tests. ### # Absolute tolerance when checking the objective value. const OPT_TOL = 1e-6 # Absolute tolerance when checking the primal solution value. const PRIMAL_TOL = 1e-6 # Absolue tolerance when checking the dual solution v...

25.679245

78

0.653784

[ "@testset \"$(directory)\" begin\n models = _list_of_models(directory, exclude, include)\n @testset \"$(model_name)\" for model_name in models\n if debug\n println(\"Running $(model_name)\")\n end\n getfield(MINLPTests, model_name)(\n opti...

f74f8bc643ba5b89eb387d157c45840ceeb54cf2

2,271

jl

Julia

aoc2019/day03/day03_test.jl

bfontaine/advent-of-code

fb0f8ff33064640125e8e0471939657f112a92d2

[ "MIT" ]

1

2019-01-27T00:32:32.000Z

aoc2019/day03/day03_test.jl

bfontaine/advent-of-code

fb0f8ff33064640125e8e0471939657f112a92d2

[ "MIT" ]

null

aoc2019/day03/day03_test.jl

bfontaine/advent-of-code

fb0f8ff33064640125e8e0471939657f112a92d2

[ "MIT" ]

null

#!/usr/bin/env julia using Test include("day03.jl") using .Wires: parse_wire, parse_direction, gen_segment, problem1, problem2 @testset "parse_direction" begin for direction = ["U0", "L0", "R0", "D0"] @test (0,0) == parse_direction(direction) end @test (1,0) == parse_direction("R1") @test (0,1) == parse...

31.541667

90

0.547336

[ "@testset \"parse_direction\" begin\n for direction = [\"U0\", \"L0\", \"R0\", \"D0\"]\n @test (0,0) == parse_direction(direction)\n end\n\n @test (1,0) == parse_direction(\"R1\")\n @test (0,1) == parse_direction(\"U1\")\n @test (-1,0) == parse_direction(\"L1\")\n @test (0,-1) == parse_direction(\"D1\")\n\...

f74fdd87f724ed5dd3ac1565760e11d30c7b4b91

2,548

jl

Julia

test/runtests.jl

ianshmean/SnoopCompile.jl

77856274a05f90a93bd9136ab6caef106ccebe96

[ "MIT" ]

null

test/runtests.jl

ianshmean/SnoopCompile.jl

77856274a05f90a93bd9136ab6caef106ccebe96

[ "MIT" ]

null

test/runtests.jl

ianshmean/SnoopCompile.jl

77856274a05f90a93bd9136ab6caef106ccebe96

[ "MIT" ]

null

if VERSION >= v"1.2.0-DEV.573" include("snoopi.jl") end using SnoopCompile using JLD using SparseArrays using Test # issue #26 logfile = joinpath(tempdir(), "anon.log") @snoopc logfile begin map(x->x^2, [1,2,3]) end data = SnoopCompile.read(logfile) pc = SnoopCompile.parcel(reverse!(data[2])) @test length(pc[...

28.311111

124

0.648744

[ "@static if VERSION >= v\"1.2.0-DEV.573\"\n @testset \"timesum\" begin\n loadSnoop = SnoopCompile.@snoopi using MatLang\n @test typeof(timesum(loadSnoop)) == Float64\n end\nend" ]

f7503dc26338531e7f7300f9f2472f66d4066976

1,444

jl

Julia

test/testBasicCSM.jl

KristofferC/IncrementalInference.jl

708e62902104a8971a7cf1228abf01bbc2f0dac0

[ "MIT" ]

null

test/testBasicCSM.jl

KristofferC/IncrementalInference.jl

708e62902104a8971a7cf1228abf01bbc2f0dac0

[ "MIT" ]

null

test/testBasicCSM.jl

KristofferC/IncrementalInference.jl

708e62902104a8971a7cf1228abf01bbc2f0dac0

[ "MIT" ]

null

# IIF #485 -- # using Revise using Test using Logging using Statistics using DistributedFactorGraphs using IncrementalInference @testset "test basic three variable graph with prior" begin VAR1 = :a VAR2 = :b VAR3 = :c logger = SimpleLogger(stdout, Logging.Debug) global_logger(logger) dfg = initfg() #LightDFG{Solv...

20.055556

72

0.714681

[ "@testset \"test basic three variable graph with prior\" begin\n\nVAR1 = :a\nVAR2 = :b\nVAR3 = :c\n\nlogger = SimpleLogger(stdout, Logging.Debug)\nglobal_logger(logger)\ndfg = initfg() #LightDFG{SolverParams}(solverParams=SolverParams())\n# Add some nodes.\nv1 = addVariable!(dfg, VAR1, ContinuousScalar, labels = [:...

f7523d184e789a517886d1d65014e78a3b50c4f2

3,523

jl

Julia

test/runtests.jl

rubsc/RiskMeasures.jl

6b0dd90bdb8428edc901dea7ac2e347746e8ce47

[ "MIT" ]

1

2022-01-18T18:47:59.000Z

test/runtests.jl

rubsc/RiskMeasures.jl

6b0dd90bdb8428edc901dea7ac2e347746e8ce47

[ "MIT" ]

null

test/runtests.jl

rubsc/RiskMeasures.jl

6b0dd90bdb8428edc901dea7ac2e347746e8ce47

[ "MIT" ]

null

using RiskMeasures using Test @testset "helper.jl" begin # Write your tests here. @test pnorm(2,[0.5 0.5],[1 2]) ≈ 1.5811 atol=0.01 @test ontoSimplex([0.3 0.3 0.3 0.3]) == [0.25 0.25 0.25 0.25] @test ontoSimplex([-0.3 -0.3 0.3 0.3]) == [0.0 0.0 0.5 0.5] @test goldenSearch(x -> x^2, 1.0)[2] < 1E-16...

39.58427

84

0.549248

[ "@testset \"helper.jl\" begin\n # Write your tests here.\n @test pnorm(2,[0.5 0.5],[1 2]) ≈ 1.5811 atol=0.01\n\n @test ontoSimplex([0.3 0.3 0.3 0.3]) == [0.25 0.25 0.25 0.25]\n @test ontoSimplex([-0.3 -0.3 0.3 0.3]) == [0.0 0.0 0.5 0.5]\n @test goldenSearch(x -> x^2, 1.0)[2] < 1E-16\n @test golden...

f752982437a7e151c2b70f260582c8900d6997d0

99,087

jl

Julia

stdlib/SparseArrays/test/sparse.jl

domluna/julia

1c88c0e2bed347f35c641413f0c7f9cee25a8fe4

[ "Zlib" ]

null

stdlib/SparseArrays/test/sparse.jl

domluna/julia

1c88c0e2bed347f35c641413f0c7f9cee25a8fe4

[ "Zlib" ]

null

stdlib/SparseArrays/test/sparse.jl

domluna/julia

1c88c0e2bed347f35c641413f0c7f9cee25a8fe4

[ "Zlib" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license module SparseTests using Test using SparseArrays using LinearAlgebra using Base.Printf: @printf using Random using Test: guardseed using InteractiveUtils: @which using Dates @testset "issparse" begin @test issparse(sparse(fill(1,5,5)))...

38.257529

172

0.562516

[ "@testset \"issparse\" begin\n @test issparse(sparse(fill(1,5,5)))\n @test !issparse(fill(1,5,5))\nend", "@testset \"iszero specialization for SparseMatrixCSC\" begin\n @test !iszero(sparse(I, 3, 3)) # test failure\n @test iszero(spzeros(3, 3)) # test success with ...

f7535830c743be2765fb3db17de351a083794962

1,565

jl

Julia

test/testlogfcns.jl

curtd/ThreadPools.jl

e36e82c51adfd22a7d0459912861bfaf1d43deff

[ "MIT" ]

1

2021-05-25T05:04:38.000Z

test/testlogfcns.jl

ppalmes/ThreadPools.jl

e36e82c51adfd22a7d0459912861bfaf1d43deff

[ "MIT" ]

null

test/testlogfcns.jl

ppalmes/ThreadPools.jl

e36e82c51adfd22a7d0459912861bfaf1d43deff

[ "MIT" ]

null

module TestLoggedFunctions using Test import ThreadPools: LoggedStaticPool using ThreadPools include("util.jl") @testset "log functions" begin @testset "read/write logs" begin N = 2 * Threads.nthreads() pool = LoggedStaticPool() tforeach(pool, x->sleep(0.01*x), 1:N) close(pool) ...

24.076923

84

0.506709

[ "@testset \"log functions\" begin\n\n @testset \"read/write logs\" begin\n N = 2 * Threads.nthreads()\n pool = LoggedStaticPool()\n tforeach(pool, x->sleep(0.01*x), 1:N)\n close(pool)\n dumplog(\"_tmp.log\", pool)\n log2 = readlog(\"_tmp.log\")\n @test pool.log ==...

f753b345c945a2ed273aed4f174ea95f216beb25

238

jl

Julia

test/runtests.jl

UnofficialJuliaMirrorSnapshots/HilbertSpaceFillingCurve.jl-515b7ef8-bac0-55e1-a220-237e90591ccc

7a1acc28354cfa94cea28cf6b520a0cd8c1bd4c7

[ "MIT" ]

7

2019-06-13T08:50:49.000Z

2022-01-06T04:31:29.000Z

test/runtests.jl

UnofficialJuliaMirrorSnapshots/HilbertSpaceFillingCurve.jl-515b7ef8-bac0-55e1-a220-237e90591ccc

7a1acc28354cfa94cea28cf6b520a0cd8c1bd4c7

[ "MIT" ]

2

2019-04-23T14:16:05.000Z

2019-12-18T14:45:54.000Z

test/runtests.jl

UnofficialJuliaMirrorSnapshots/HilbertSpaceFillingCurve.jl-515b7ef8-bac0-55e1-a220-237e90591ccc

7a1acc28354cfa94cea28cf6b520a0cd8c1bd4c7

[ "MIT" ]

2

2019-07-23T07:27:37.000Z

2020-02-08T10:42:45.000Z

using HilbertSpaceFillingCurve using Test @testset "hilbert" begin d = 10 for ndims in 2:3, nbits in [8,16] p = hilbert(d, ndims, nbits) @test d == hilbert(p, ndims, nbits) end @test_throws AssertionError hilbert(d, 2, 64) end

17

45

0.697479

[ "@testset \"hilbert\" begin\n\nd = 10\nfor ndims in 2:3, nbits in [8,16]\n p = hilbert(d, ndims, nbits)\n @test d == hilbert(p, ndims, nbits)\nend\n\n@test_throws AssertionError hilbert(d, 2, 64)\n\nend" ]

f75891a3ba16be7ebc580614c60385f31554fd3b

5,964

jl

Julia

test/runtests.jl

m-wells/MappedArrays.jl

8fa8d7d9cc5cf99bd37a7d5f85376916aa7d0857

[ "MIT" ]

null

test/runtests.jl

m-wells/MappedArrays.jl

8fa8d7d9cc5cf99bd37a7d5f85376916aa7d0857

[ "MIT" ]

null

test/runtests.jl

m-wells/MappedArrays.jl

8fa8d7d9cc5cf99bd37a7d5f85376916aa7d0857

[ "MIT" ]

null

using MappedArrays using Test @test isempty(detect_ambiguities(MappedArrays, Base, Core)) using FixedPointNumbers, OffsetArrays, ColorTypes @testset "ReadonlyMappedArray" begin a = [1,4,9,16] s = view(a', 1:1, [1,2,4]) b = @inferred(mappedarray(sqrt, a)) @test parent(b) === a @test eltype(b) == ...

31.389474

134

0.562039

[ "@testset \"ReadonlyMappedArray\" begin\n a = [1,4,9,16]\n s = view(a', 1:1, [1,2,4])\n\n b = @inferred(mappedarray(sqrt, a))\n @test parent(b) === a\n @test eltype(b) == Float64\n @test @inferred(getindex(b, 1)) == 1\n @test b[2] == 2\n @test b[3] == 3\n @test b[4] == 4\n @test_throws...

f75bdd053fb108ea728d4648c9d13f6cbd888302

3,087

jl

Julia

test/QecsimAdaptors.jl

qecsim/TensorNetworkCodes.jl

2b5850ab834cbeeaa35666c12042d08239c281fe

[ "BSD-3-Clause" ]

null

test/QecsimAdaptors.jl

qecsim/TensorNetworkCodes.jl

2b5850ab834cbeeaa35666c12042d08239c281fe

[ "BSD-3-Clause" ]

2

2022-02-21T09:04:57.000Z

2022-02-25T10:08:33.000Z

test/QecsimAdaptors.jl

qecsim/TensorNetworkCodes.jl

2b5850ab834cbeeaa35666c12042d08239c281fe

[ "BSD-3-Clause" ]

null

using Qecsim using Qecsim.GenericModels: DepolarizingErrorModel, NaiveDecoder using TensorNetworkCodes using TensorNetworkCodes.QecsimAdaptors using Test @testset "_tnpauli_to_bsf" begin # single operator str_pauli = "IXIYIZ" int_pauli = pauli_rep_change.(collect(str_pauli)) bsf_pauli = QecsimAdaptors....

41.16

77

0.716553

[ "@testset \"_tnpauli_to_bsf\" begin\n # single operator\n str_pauli = \"IXIYIZ\"\n int_pauli = pauli_rep_change.(collect(str_pauli))\n bsf_pauli = QecsimAdaptors._tnpauli_to_bsf(int_pauli)\n @test bsf_pauli == Qecsim.to_bsf(str_pauli)\n # multiple operators\n str_paulis = [\"XZZXI\", \"IXZZX\",...

f75d10073dff615904327de63e97cefcbbcf82ce

12,576

jl

Julia

test/runtests.jl

ChrisRackauckas/VectorizationBase.jl

edd756facb6dd591220f7e290d0b83283354e720

[ "MIT" ]

null

test/runtests.jl

ChrisRackauckas/VectorizationBase.jl

edd756facb6dd591220f7e290d0b83283354e720

[ "MIT" ]

null

test/runtests.jl

ChrisRackauckas/VectorizationBase.jl

edd756facb6dd591220f7e290d0b83283354e720

[ "MIT" ]

null

using VectorizationBase using Test const W64 = VectorizationBase.REGISTER_SIZE ÷ sizeof(Float64) const W32 = VectorizationBase.REGISTER_SIZE ÷ sizeof(Float32) A = randn(13, 17); L = length(A); M, N = size(A); @testset "VectorizationBase.jl" begin # Write your own tests here. @test isempty(detect_unbound_args(Vec...

69.480663

227

0.710083

[ "@testset \"VectorizationBase.jl\" begin\n # Write your own tests here.\n@test isempty(detect_unbound_args(VectorizationBase))\n\n@test first(A) === A[1]\n@testset \"Struct-Wrapped Vec\" begin\n@test extract_data(zero(SVec{4,Float64})) === (VE(0.0),VE(0.0),VE(0.0),VE(0.0)) === extract_data(SVec{4,Float64}(0.0))\...

f75e8ca096e7f649f1fb984ebc8212dddaffd164

268

jl

Julia

test/runtests.jl

adknudson/MvSim.jl

6c3085289a5e23441f5f0db90f2b3cbbb9b49afc

[ "MIT" ]

1

2021-09-12T12:27:15.000Z

test/runtests.jl

adknudson/MvSim.jl

6c3085289a5e23441f5f0db90f2b3cbbb9b49afc

[ "MIT" ]

15

2020-07-08T20:07:03.000Z

2021-01-16T01:56:40.000Z

test/runtests.jl

adknudson/bigsimr.jl

1843a0607bcaee9b7724842df22aa42e176c910c

[ "MIT" ]

null

using Test const tests = [ "Correlation", "PearsonMatching", "GeneralizedSDistribution", "RandomVector", "Utilities" ] printstyled("Running tests:\n", color=:blue) for t in tests @testset "Test $t" begin include("$t.jl") end end

14.888889

44

0.623134

[ "@testset \"Test $t\" begin\n include(\"$t.jl\")\n end" ]

f75e9ed559b23b57b9c1c5ad93fe1247c5639358

93

jl

Julia

test/runtests.jl

csimal/LazyGraphs.jl

d7b70b4110028fd1f29364298ca28ea3fabccfc2

[ "MIT" ]

null

test/runtests.jl

csimal/LazyGraphs.jl

d7b70b4110028fd1f29364298ca28ea3fabccfc2

[ "MIT" ]

null

test/runtests.jl

csimal/LazyGraphs.jl

d7b70b4110028fd1f29364298ca28ea3fabccfc2

[ "MIT" ]

null

using LazyGraphs using Test @testset "LazyGraphs.jl" begin # Write your tests here. end

13.285714

30

0.741935

[ "@testset \"LazyGraphs.jl\" begin\n # Write your tests here.\nend" ]

f75f0499a04fd3b597d5999efd1ddb12b0f42e8f

845

jl

Julia

test/Dynamics/mdef.jl

NQCD/NQCDynamics.jl

bf7f0ac5105aab72972cce4cd1f313e63878f474

[ "MIT" ]

16

2022-01-17T14:34:39.000Z

2022-03-24T12:11:48.000Z

test/Dynamics/mdef.jl

NQCD/NonadiabaticMolecularDynamics.jl

491937e0878f15881201e7d637235a5e7f6feb6d

[ "MIT" ]

37

2021-08-18T11:59:08.000Z

2022-01-02T14:32:58.000Z

test/Dynamics/mdef.jl

NQCD/NonadiabaticMolecularDynamics.jl

491937e0878f15881201e7d637235a5e7f6feb6d

[ "MIT" ]

1

2022-02-01T16:00:02.000Z

using Test using NQCDynamics using Unitful using UnitfulAtomic using RecursiveArrayTools: ArrayPartition using LinearAlgebra: diag using ComponentArrays atoms = Atoms([:H, :H]) model = CompositeFrictionModel(Free(), ConstantFriction(1, atoms.masses[1])) sim = Simulation{MDEF}(atoms, model; temperature=10u"K") v = zer...

27.258065

77

0.711243

[ "@testset \"friction!\" begin\n gtmp = zeros(length(r), length(r))\n NQCDynamics.DynamicsMethods.ClassicalMethods.friction!(gtmp, r, sim, 0.0)\n @test all(diag(gtmp) .≈ 1.0)\nend" ]

f75fb5e4074eacc9a5b14eb26f2d6e91e8814175

1,238

jl

Julia

test/conservation.jl

gvn22/ZonalFlow.jl

3ebfdd1d172f97321df13781239da28597137361

[ "MIT" ]

3

2021-03-26T10:51:38.000Z

2022-02-10T03:36:34.000Z

test/conservation.jl

gvn22/ZonalFlow.jl

3ebfdd1d172f97321df13781239da28597137361

[ "MIT" ]

17

2020-10-27T12:11:31.000Z

2021-10-19T14:54:44.000Z

test/conservation.jl

gvn22/ZonalFlow.jl

3ebfdd1d172f97321df13781239da28597137361

[ "MIT" ]

1

2021-04-10T12:18:54.000Z

using ZonalFlow using Test domain = Domain(extent=(2π,2π),res=(5,5)); coeffs = Coefficients(Ω=2π,θ=0.0,μ=0.0,ν=0.0,ν₄=1.0,linear=true); forcing = Stochastic(kf=3,dk=1,ε=0.0); prob = BetaPlane(domain,coeffs,forcing); tspan = (0.0,1000.0); tsargs = ( dt=0.001, adaptive=false, ...

28.790698

76

0.534733

[ "@testset \"Linear Equations\" begin\n for sol in sols\n E,Z = energy(length(prob.d)...,size(prob.d)...,sol.t,sol.u);\n @test E[1] == E[end]\n @test Z[1] == Z[end]\n end\nend", "@testset \"Nonlinear Equations\" begin\n for sol in sols\n ...

f76003909b89eb5031185e7af51a319b12fea507

1,863

jl

Julia

test/models/m1010/m1010.jl

rokkuran/DSGE.jl

9e73c250fe477f941a0e49cff82a808f16048b23

[ "BSD-3-Clause" ]

null

test/models/m1010/m1010.jl

rokkuran/DSGE.jl

9e73c250fe477f941a0e49cff82a808f16048b23

[ "BSD-3-Clause" ]

null

test/models/m1010/m1010.jl

rokkuran/DSGE.jl

9e73c250fe477f941a0e49cff82a808f16048b23

[ "BSD-3-Clause" ]

1

2020-01-08T12:10:44.000Z

using DSGE using Test path = dirname(@__FILE__) ### Model model = Model1010("ss18") ### Parameters @testset "Test parameter bounds checking" begin for θ in model.parameters @test isa(θ, AbstractParameter) if !θ.fixed (left, right) = θ.valuebounds @test left < θ.value < ri...

22.445783

56

0.610843

[ "@testset \"Test parameter bounds checking\" begin\n for θ in model.parameters\n @test isa(θ, AbstractParameter)\n if !θ.fixed\n (left, right) = θ.valuebounds\n @test left < θ.value < right\n end\n end\nend", "@testset \"Checking model indices\" begin\n # Endoge...

f760210800c0cc18dc1c8f574ac26f95cd1ae748

1,747

jl

Julia

test/test_functionlenses.jl

UnofficialJuliaMirrorSnapshots/Setfield.jl-efcf1570-3423-57d1-acb7-fd33fddbac46

4536fae5c60fcea2cda4016b770381cfd4e6a774

[ "MIT" ]

null

test/test_functionlenses.jl

UnofficialJuliaMirrorSnapshots/Setfield.jl-efcf1570-3423-57d1-acb7-fd33fddbac46

4536fae5c60fcea2cda4016b770381cfd4e6a774

[ "MIT" ]

null

test/test_functionlenses.jl

UnofficialJuliaMirrorSnapshots/Setfield.jl-efcf1570-3423-57d1-acb7-fd33fddbac46

4536fae5c60fcea2cda4016b770381cfd4e6a774

[ "MIT" ]

null

module TestFunctionLenses using Test using Setfield @testset "first" begin obj = (1, 2.0, '3') l = @lens first(_) @test get(obj, l) === 1 @test set(obj, l, "1") === ("1", 2.0, '3') @test (@set first(obj) = "1") === ("1", 2.0, '3') obj2 = (a=((b=1,), 2), c=3) @test (@set first(obj2.a).b = '...

29.610169

88

0.546079

[ "@testset \"first\" begin\n obj = (1, 2.0, '3')\n l = @lens first(_)\n @test get(obj, l) === 1\n @test set(obj, l, \"1\") === (\"1\", 2.0, '3')\n @test (@set first(obj) = \"1\") === (\"1\", 2.0, '3')\n\n obj2 = (a=((b=1,), 2), c=3)\n @test (@set first(obj2.a).b = '1') === (a=((b='1',), 2), c=3)...

f762232335b00ad4ca076074cf4d778da83868bd

1,874

jl

Julia

test/testPartialRangeCrossCorrelations.jl

msaroufim/RoME.jl

1a34ca9b0012185d342070aab3a6c70bf19b6834

[ "MIT" ]

null

test/testPartialRangeCrossCorrelations.jl

msaroufim/RoME.jl

1a34ca9b0012185d342070aab3a6c70bf19b6834

[ "MIT" ]

null

test/testPartialRangeCrossCorrelations.jl

msaroufim/RoME.jl

1a34ca9b0012185d342070aab3a6c70bf19b6834

[ "MIT" ]

null

# see correct result with slanted (narrow) L1 modes at y=+-5. L1 should not be round blobs # https://github.com/JuliaRobotics/RoME.jl/pull/434#issuecomment-817246038 using RoME using Test ## @testset "Test correlation induced by partials" begin ## # start with an empty factor graph object N = 200 fg = initfg()...

20.150538

91

0.642476

[ "@testset \"Test correlation induced by partials\" begin\n\n##\n\n# start with an empty factor graph object\nN = 200\nfg = initfg()\ngetSolverParams(fg).N = N\n\ngetSolverParams(fg).useMsgLikelihoods = true\n\naddVariable!(fg, :x0, Pose2)\naddVariable!(fg, :l1, Point2)\naddFactor!(fg, [:x0], PriorPose2( MvNormal([0...

f76235022ef2bc45a57772af3fc525f856dce7dc

5,615

jl

Julia

test/utility_tests.jl

itsdfish/DifferentialEvolutionMCMC.jl

3974509006e3df0eef74cf82be71586f2045d421

[ "MIT" ]

11

2020-06-22T07:03:08.000Z

2022-03-01T06:47:34.000Z

test/utility_tests.jl

itsdfish/DifferentialEvolutionMCMC.jl

3974509006e3df0eef74cf82be71586f2045d421

[ "MIT" ]

40

2020-05-28T11:51:19.000Z

2022-03-26T11:59:22.000Z

test/utility_tests.jl

itsdfish/DifferentialEvolutionMCMC.jl

3974509006e3df0eef74cf82be71586f2045d421

[ "MIT" ]

null

@testset verbose = true "utility tests" begin @safetestset "Discard Burnin" begin using DifferentialEvolutionMCMC, Test, Random, Parameters, Distributions Random.seed!(29542) N = 10 k = rand(Binomial(N, .5)) data = (N = N,k = k) prior_loglike(θ) = logpdf(Beta(1, 1),...

27.935323

104

0.488157

[ "@testset verbose = true \"utility tests\" begin \n @safetestset \"Discard Burnin\" begin\n using DifferentialEvolutionMCMC, Test, Random, Parameters, Distributions\n Random.seed!(29542)\n N = 10\n k = rand(Binomial(N, .5))\n data = (N = N,k = k)\n\n prior_loglike(θ) = l...

f763399e181001cf6dcf97bc016af653862993a0

1,842

jl

Julia

test/duplicates.jl

EarthGoddessDude/DataFrames.jl

936d1155414b61d46633417340b86181a8863c8e

[ "MIT" ]

4

2020-05-11T18:52:59.000Z

2021-05-19T06:32:02.000Z

test/duplicates.jl

EarthGoddessDude/DataFrames.jl

936d1155414b61d46633417340b86181a8863c8e

[ "MIT" ]

1

2019-01-14T17:35:31.000Z

2019-07-06T23:10:44.000Z

test/duplicates.jl

EarthGoddessDude/DataFrames.jl

936d1155414b61d46633417340b86181a8863c8e

[ "MIT" ]

null

module TestDuplicates using Test, DataFrames, CategoricalArrays const ≅ = isequal @testset "nonunique" begin df = DataFrame(a = [1, 2, 3, 3, 4]) udf = DataFrame(a = [1, 2, 3, 4]) @test nonunique(df) == [false, false, false, true, false] @test udf == unique(df) unique!(df) @test df == udf @...

40.933333

105

0.579262

[ "@testset \"nonunique\" begin\n df = DataFrame(a = [1, 2, 3, 3, 4])\n udf = DataFrame(a = [1, 2, 3, 4])\n @test nonunique(df) == [false, false, false, true, false]\n @test udf == unique(df)\n unique!(df)\n @test df == udf\n @test_throws ArgumentError unique(df, true)\n\n pdf = DataFrame(a = ...

f7636223bf6071f8edcd3efac92cca54f4a221ff

9,698

jl

Julia

test/SLM/property.jl

chenwilliam77/EconFixedPointPDEs

50ce1f61fc796605a2d0e81b08dd472444182e2b

[ "MIT" ]

1

2021-01-31T00:29:04.000Z

test/SLM/property.jl

chenwilliam77/EconFixedPointPDEs

50ce1f61fc796605a2d0e81b08dd472444182e2b

[ "MIT" ]

null

test/SLM/property.jl

chenwilliam77/EconFixedPointPDEs

50ce1f61fc796605a2d0e81b08dd472444182e2b

[ "MIT" ]

1

2021-12-19T16:40:44.000Z

using Test, FileIO, ModelConstructors include(joinpath(dirname(@__FILE__), "../../src/includeall.jl")) rp = joinpath(dirname(@__FILE__), "../reference/SLM") # reference path # Set up inputs input_inc = load(joinpath(rp, "find_solution_input.jld2")) input_dec = load(joinpath(rp, "find_solution_input_decrease.jld2")) in...

46.850242

142

0.648484

[ "@testset \"Scaling\" begin\n d_false = deepcopy(d)\n d_false[:scaling] = false\n yscale_inc = load(joinpath(rp, \"scaleproblem.jld2\"))\n yscale_dec = load(joinpath(rp, \"scaleproblem_decrease.jld2\"))\n yscale_sin = load(joinpath(rp, \"scaleproblem_sine.jld2\"))\n leftval_inc = load(joinpath(rp,...

f7662de5a8e626b277fefe3ce8c479ff09c61bb2

1,245

jl

Julia

test/rank_by_consensus.jl

Durzot/MT_NMF

a3e3c2fb4a23cc09e78e1ad1e324787c6017a4fc

[ "MIT" ]

null

test/rank_by_consensus.jl

Durzot/MT_NMF

a3e3c2fb4a23cc09e78e1ad1e324787c6017a4fc

[ "MIT" ]

null

test/rank_by_consensus.jl

Durzot/MT_NMF

a3e3c2fb4a23cc09e78e1ad1e324787c6017a4fc

[ "MIT" ]

null

using VariantsNMF using Test #### simulate V = get_one_simulated_V() @testset "nmf_FI" begin #### params for rank selection rc_params = RCParams( K_min = 2, K_max = 6, n_iter = 10 ) #### nmf β-divergence, multiplicative updates nmf_global_params = NMFParams( init ...

25.408163

59

0.583133

[ "@testset \"nmf_FI\" begin\n #### params for rank selection\n rc_params = RCParams(\n K_min = 2,\n K_max = 6,\n n_iter = 10\n )\n\n #### nmf β-divergence, multiplicative updates\n nmf_global_params = NMFParams(\n init = :random,\n dist = truncated(...

f76828962b7f157fe728585cfec434da7d31759b

33,111

jl

Julia

test/runtests.jl

harivnkochi/UnderwaterAcoustics.jl

23d090431f292890dad70e77c17dff414008fcfc

[ "MIT" ]

null

test/runtests.jl

harivnkochi/UnderwaterAcoustics.jl

23d090431f292890dad70e77c17dff414008fcfc

[ "MIT" ]

null

test/runtests.jl

harivnkochi/UnderwaterAcoustics.jl

23d090431f292890dad70e77c17dff414008fcfc

[ "MIT" ]

null

using Test using UnderwaterAcoustics using UnderwaterAcoustics: amp2db, db2amp using ForwardDiff @testset "basic" begin @test soundspeed() ≈ 1539.0 atol=0.1 @test soundspeed(; voidfrac=1e-5) ≈ 1402.1 atol=0.1 @test soundspeed(; voidfrac=1.0) ≈ 340.0 @test amp2db(absorption(10000, 1000.0, 35.0, 15.0)) ≈ -1.0 ...

43.339005

118

0.627495

[ "@testset \"basic\" begin\n\n @test soundspeed() ≈ 1539.0 atol=0.1\n @test soundspeed(; voidfrac=1e-5) ≈ 1402.1 atol=0.1\n @test soundspeed(; voidfrac=1.0) ≈ 340.0\n\n @test amp2db(absorption(10000, 1000.0, 35.0, 15.0)) ≈ -1.0 atol=0.5\n @test amp2db(absorption(50000)) ≈ -11.0 atol=0.5\n @test amp2db(absorpti...

f76a7a9c95f5a981d2ad23560f04ff76a7d19c8a

2,215

jl

Julia

test/_fast.jl

jw3126/AxisKeys.jl

ec293e172abfd832f2fa31ae190c4737b0a18f7d

[ "MIT" ]

104

2020-03-18T17:16:47.000Z

2022-02-22T12:35:16.000Z

test/_fast.jl

jw3126/AxisKeys.jl

ec293e172abfd832f2fa31ae190c4737b0a18f7d

[ "MIT" ]

88

2020-03-14T19:54:46.000Z

2022-03-22T20:33:48.000Z

test/_fast.jl

jw3126/AxisKeys.jl

ec293e172abfd832f2fa31ae190c4737b0a18f7d

[ "MIT" ]

19

2020-03-20T11:57:50.000Z

2022-01-16T10:21:26.000Z

using Test, AxisKeys, BenchmarkTools @testset "indexing & lookup" begin A = wrapdims(rand(2,3), 11.0:12.0, [:a, :b, :c]) if VERSION >= v"1.2" # getindex @test 0 == @ballocated $A[1, 1] @test 272 >= @ballocated $A[1, :] @test (@inferred A[1, :]; true) @test (@inferred v...

30.342466

86

0.550339

[ "@testset \"indexing & lookup\" begin\n\n A = wrapdims(rand(2,3), 11.0:12.0, [:a, :b, :c])\n\n if VERSION >= v\"1.2\"\n # getindex\n @test 0 == @ballocated $A[1, 1]\n @test 272 >= @ballocated $A[1, :]\n @test (@inferred A[1, :]; true)\n @test (@inferred view(A, 1, :); true)\...

f76c5f73ffe2766fcae1a29dafa004ee9b851bc9

942

jl

Julia

test/datasets_test.jl

mjirik/LarSurf.jl

de2eaec62dfe8c63e7d621bc973aa01d8de019c6

[ "MIT" ]

2

2019-09-17T22:56:08.000Z

2020-01-04T09:50:42.000Z

test/datasets_test.jl

mjirik/lario3d.jl

de2eaec62dfe8c63e7d621bc973aa01d8de019c6

[ "MIT" ]

1

2019-11-16T15:47:22.000Z

2019-11-18T17:43:46.000Z

test/datasets_test.jl

mjirik/lario3d.jl

de2eaec62dfe8c63e7d621bc973aa01d8de019c6

[ "MIT" ]

1

2021-03-05T15:01:47.000Z

using Test using Logging # using Revise using LarSurf # Logging.configure(level==Logging.Debug) # include("../src/LarSurf.jl") # include("../src/block.jl") @testset "Block basic function Tests" begin data3d = LarSurf.random_image([7, 7, 7], [1,2,2], [3, 4, 5], 2) @test maximum(data3d) > 2 @test minimum(d...

24.153846

68

0.686837

[ "@testset \"Block basic function Tests\" begin\n data3d = LarSurf.random_image([7, 7, 7], [1,2,2], [3, 4, 5], 2)\n @test maximum(data3d) > 2\n @test minimum(data3d) < 1\nend", "@testset \"Tetris\" begin\n segmentation = LarSurf.tetris_brick()\n @test minimum(segmentation) == 0\n @test maximum(se...

f76ea9c014f7c98b9151b679053cecf996211dc3

2,867

jl

Julia

test/runtests.jl

tobydriscoll/fnc

dde6097e6a9efff3c8cd7748c96214b4fcec2dc4

[ "MIT" ]

31

2020-07-15T15:31:47.000Z

2022-03-14T14:48:49.000Z

test/runtests.jl

tobydriscoll/fnc

dde6097e6a9efff3c8cd7748c96214b4fcec2dc4

[ "MIT" ]

4

2020-07-20T15:42:58.000Z

2022-02-08T19:08:43.000Z

test/runtests.jl

tobydriscoll/fnc

dde6097e6a9efff3c8cd7748c96214b4fcec2dc4

[ "MIT" ]

12

2020-07-26T17:42:14.000Z

2022-01-24T06:10:19.000Z

using FundamentalsNumericalComputation using Test @testset "Chapter 1" begin @test FNC.horner([-1,3,-3,1],1.6) ≈ 0.6^3 end @testset "Chapter 2" begin A = [ 1 2 3 0; -1 1 2 -1; 3 1 2 4; 1 1 1 1 ] L,U = FNC.lufact(A) @test norm(L*U - A) < 100eps() @test norm(U - triu(U)) < 100eps() @test norm(L - tril(L)) < 100ep...

24.930435

69

0.531217

[ "@testset \"Chapter 1\" begin\n\t@test FNC.horner([-1,3,-3,1],1.6) ≈ 0.6^3\nend", "@testset \"Chapter 2\" begin\n\tA = [ 1 2 3 0; -1 1 2 -1; 3 1 2 4; 1 1 1 1 ]\n\tL,U = FNC.lufact(A)\n\t@test norm(L*U - A) < 100eps()\n\t@test norm(U - triu(U)) < 100eps()\n\t@test norm(L - tril(L)) < 100eps()\n\tb = [1,10,0,-1] / ...

f774b41915333f01b265988666134303e7b44ba5

12,852

jl

Julia

test/fit.jl

pdeffebach/Distributions.jl

8aea3cc82ee2f8ffe1e8cd754e7fcd99369c7a1c

[ "MIT" ]

852

2015-01-03T14:38:13.000Z

2022-03-31T19:04:52.000Z

test/fit.jl

pdeffebach/Distributions.jl

8aea3cc82ee2f8ffe1e8cd754e7fcd99369c7a1c

[ "MIT" ]

1,133

2015-01-12T20:37:42.000Z

2022-03-28T16:18:57.000Z

test/fit.jl

pdeffebach/Distributions.jl

8aea3cc82ee2f8ffe1e8cd754e7fcd99369c7a1c

[ "MIT" ]

467

2015-01-14T14:30:55.000Z

2022-03-30T22:32:51.000Z

# Testing: # # - computation of sufficient statistics # - distribution fitting (i.e. estimation) # using Distributions using Test, Random, LinearAlgebra n0 = 100 N = 10^5 rng = MersenneTwister(123) const funcs = ([rand,rand], [dist -> rand(rng, dist), (dist, n) -> rand(rng, dist, n)]) @testset "Testing fit for ...

28.184211

87

0.519297

[ "@testset \"Testing fit for DiscreteUniform\" begin\n for func in funcs\n w = func[1](n0)\n\n x = func[2](DiscreteUniform(10, 15), n0)\n d = fit(DiscreteUniform, x)\n @test isa(d, DiscreteUniform)\n @test minimum(d) == minimum(x)\n @test maximum(d) == maximum(x)\n\n ...

f777386a69e39ffadf6bc200cc05b4a48c79f03a

50,351

jl

Julia

test/runtests.jl

kevmoor/GXBeam.jl

7536c97cc103d7ae53bb6e0b1d2ae4a5196a35a1

[ "MIT" ]

null

test/runtests.jl

kevmoor/GXBeam.jl

7536c97cc103d7ae53bb6e0b1d2ae4a5196a35a1

[ "MIT" ]

null

test/runtests.jl

kevmoor/GXBeam.jl

7536c97cc103d7ae53bb6e0b1d2ae4a5196a35a1

[ "MIT" ]

null

using GXBeam using LinearAlgebra using DifferentialEquations using Test import Elliptic using ForwardDiff @testset "Math" begin c = rand(3) cdot = rand(3) # get_C_θ C_θ1, C_θ2, C_θ3 = GXBeam.get_C_θ(c) @test isapprox(C_θ1, ForwardDiff.derivative(c1 -> GXBeam.get_C([c1, c[2], c[3]]), c[1])) ...

32.844749

132

0.606363

[ "@testset \"Math\" begin\n \n c = rand(3)\n cdot = rand(3)\n\n # get_C_θ\n C_θ1, C_θ2, C_θ3 = GXBeam.get_C_θ(c)\n @test isapprox(C_θ1, ForwardDiff.derivative(c1 -> GXBeam.get_C([c1, c[2], c[3]]), c[1]))\n @test isapprox(C_θ2, ForwardDiff.derivative(c2 -> GXBeam.get_C([c[1], c2, c[3]]), c[2]))\n...

f77aa451320125b4e96e109583a22fd866ac7168

798

jl

Julia

test/multithreaded.jl

ThomasRetornaz/ImageMorphology.jl

3181b69eab153fec9eeb0eaa55e97000252fa895

[ "MIT" ]

null

test/multithreaded.jl

ThomasRetornaz/ImageMorphology.jl

3181b69eab153fec9eeb0eaa55e97000252fa895

[ "MIT" ]

null

test/multithreaded.jl

ThomasRetornaz/ImageMorphology.jl

3181b69eab153fec9eeb0eaa55e97000252fa895

[ "MIT" ]

null

# This doesn't run under "runtests.jl" but does under CI using ImageMorphology using Test @testset "multithreaded" begin @test Threads.nthreads() > 1 @testset "feature_transform" begin img = rand(100, 128) .> 0.9 @test feature_transform(img; nthreads=Threads.nthreads()) == feature_t...

38

103

0.651629

[ "@testset \"multithreaded\" begin\n @test Threads.nthreads() > 1\n @testset \"feature_transform\" begin\n img = rand(100, 128) .> 0.9\n @test feature_transform(img; nthreads=Threads.nthreads()) ==\n feature_transform(img; nthreads=1)\n # Since the threaded implementation handle...

f77ab07997532ed4da6cc0a744ee2f8ae77132ff

200

jl

Julia

test/runtests.jl

giandopal/MyExample

1cf4af029843abb069114e2bd3001564d7125811

[ "MIT" ]

null

test/runtests.jl

giandopal/MyExample

1cf4af029843abb069114e2bd3001564d7125811

[ "MIT" ]

null

test/runtests.jl

giandopal/MyExample

1cf4af029843abb069114e2bd3001564d7125811

[ "MIT" ]

null

using MyExample using Test my_f(2,1) MyExample.greet2() MyExample.my_f2(1,1) @testset "MyExample.jl" begin @test MyExample.my_f(2,1)==5 @test MyExample.my_f(2,3)==7 @test my_f(2,3)=9 end

16.666667

32

0.685

[ "@testset \"MyExample.jl\" begin\n @test MyExample.my_f(2,1)==5\n @test MyExample.my_f(2,3)==7\n @test my_f(2,3)=9\nend" ]

f77b1550f23602d89921d2589260ed7e29ff3059

1,554

jl

Julia

test/data.jl

EvilDonkey420/OpenML.jl

1a11b2a4aa761ff029e721e45d748c6282b750d6

[ "MIT" ]

1

2021-09-24T14:21:05.000Z

test/data.jl

EvilDonkey420/OpenML.jl

1a11b2a4aa761ff029e721e45d748c6282b750d6

[ "MIT" ]

null

test/data.jl

EvilDonkey420/OpenML.jl

1a11b2a4aa761ff029e721e45d748c6282b750d6

[ "MIT" ]

null

module TestOpenml using Test using HTTP using OpenML import Tables.istable response_test = OpenML.load_Dataset_Description(61) ntp_test = OpenML.load(61) @test istable(ntp_test) dqlist_test = OpenML.load_Data_Qualities_List() data_features_test = OpenML.load_Data_Features(61) data_qualities_test = OpenML.load_Data_Qu...

28.254545

84

0.714929

[ "@testset \"HTTP connection\" begin\n @test typeof(response_test) <: Dict\n @test response_test[\"data_set_description\"][\"name\"] == \"iris\"\n @test response_test[\"data_set_description\"][\"format\"] == \"ARFF\"\nend", "@testset \"ARFF file conversion to NamedTuples\" begin\n @test isempty(ntp_tes...

f780005034669c2e2b793ced2dbf0c3570ec0184

8,418

jl

Julia

test/test_bracketing.jl

alecloudenback/Roots.jl

299e5ead40ad16d112d461ab2a736ccc44eeafd0

[ "MIT" ]

null

test/test_bracketing.jl

alecloudenback/Roots.jl

299e5ead40ad16d112d461ab2a736ccc44eeafd0

[ "MIT" ]

null

test/test_bracketing.jl

alecloudenback/Roots.jl

299e5ead40ad16d112d461ab2a736ccc44eeafd0

[ "MIT" ]

null

using Roots using Test using Printf ## testing bracketing methods ## Orignially by John Travers # # ## This set of tests is very useful for benchmarking the number of function ## calls, failures, and max errors for the various bracketing methods. ## Table 1 from TOMS748 by Alefeld, Potra, Shi mutable struct Func ...

27.509804

156

0.509979

[ "@testset \"bracketing methods\" begin\n\n ## Test for failures, ideally all of these would be 0\n ## test for residual, ideally small\n ## test for evaluation counts, ideally not so low for these problems\n\n\n ## exact_bracket\n Ms = [Roots.A42(), Roots.AlefeldPotraShi(), Roots.Bisection()]\n re...

f7814ef0e18bf636d2636df0a4aba72493a4483b

732

jl

Julia

test/codegen/julia/node.jl

xgdgsc/Comonicon.jl

8c8a46549bf7d88c0e4b3ea1cc02bdf5e0baa7cc

[ "MIT" ]

52

2021-06-01T10:00:10.000Z

2022-03-13T07:15:42.000Z

test/codegen/julia/node.jl

Leticia-maria/Comonicon.jl

a7c38f9378f32a70396c5aaa5607b46391c921a4

[ "MIT" ]

51

2021-05-24T19:35:35.000Z

2022-03-17T07:51:58.000Z

test/codegen/julia/node.jl

Leticia-maria/Comonicon.jl

a7c38f9378f32a70396c5aaa5607b46391c921a4

[ "MIT" ]

7

2021-06-04T21:28:27.000Z

2022-02-21T03:26:01.000Z

module TestNodeCommand using Comonicon.AST using Comonicon.JuliaExpr using Comonicon.JuliaExpr: emit, emit_body, emit_norm_body, emit_dash_body using Test function called() @test true end cmd = Entry(; version = v"1.2.0", root = NodeCommand(; name = "node", subcmds = Dict( "cm...

21.529412

74

0.586066

[ "@testset \"test node\" begin\n @test command_main([\"cmd3\"]) == 1\n @test command_main([\"cmd1\", \"foo\"]) == 1\n @test command_main([\"cmd1\", \"foo\", \"-h\"]) == 0\n @test command_main([\"cmd1\", \"foo\", \"-V\"]) == 0\n @test command_main(String[]) == 1\nend" ]

f78279cfc365ded66a2110e44246f23fdc8f5253

48,698

jl

Julia

stdlib/LinearAlgebra/test/dense.jl

GiggleLiu/julia

6e894ccd56274b62b169d949b67ea150a12090bb

[ "Zlib" ]

null

stdlib/LinearAlgebra/test/dense.jl

GiggleLiu/julia

6e894ccd56274b62b169d949b67ea150a12090bb

[ "Zlib" ]

null

stdlib/LinearAlgebra/test/dense.jl

GiggleLiu/julia

6e894ccd56274b62b169d949b67ea150a12090bb

[ "Zlib" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license module TestDense using Test, LinearAlgebra, Random using LinearAlgebra: BlasComplex, BlasFloat, BlasReal @testset "Check that non-floats are correctly promoted" begin @test [1 0 0; 0 1 0]\[1,1] ≈ [1;1;0] end n = 10 # Split n into 2 p...

40.854027

143

0.505524

[ "@testset \"Check that non-floats are correctly promoted\" begin\n @test [1 0 0; 0 1 0]\\[1,1] ≈ [1;1;0]\nend", "@testset \"Matrix condition number\" begin\n ainit = rand(n,n)\n @testset \"for $elty\" for elty in (Float32, Float64, ComplexF32, ComplexF64)\n ainit = convert(Matrix{elty}, ainit)\n ...

f786fb70e13de65553bb39105d496a5ba9839a83

3,294

jl

Julia

test/runtests.jl

sid-dey/PBDS.jl

d4d1d2af0753c60d7082e24c714734eb3ad5fda6

[ "MIT" ]

13

2021-01-05T01:09:19.000Z

2022-02-24T03:10:45.000Z

test/runtests.jl

sid-dey/PBDS.jl

d4d1d2af0753c60d7082e24c714734eb3ad5fda6

[ "MIT" ]

1

2021-09-03T03:39:30.000Z

test/runtests.jl

sid-dey/PBDS.jl

d4d1d2af0753c60d7082e24c714734eb3ad5fda6

[ "MIT" ]

1

2021-02-27T23:52:02.000Z

using PBDS using Test using NBInclude @testset "Examples" begin "no_plots" in ARGS && (global const no_plots = true) PBDS_dir = joinpath(@__DIR__, "..", "examples", "PBDS") test_notebook = "R7Arm_DynamicMugGrasping" @testset "$test_notebook" begin file = string(test_notebook, ".ipynb") ...

42.779221

100

0.60595

[ "@testset \"Examples\" begin\n \"no_plots\" in ARGS && (global const no_plots = true)\n PBDS_dir = joinpath(@__DIR__, \"..\", \"examples\", \"PBDS\")\n\n test_notebook = \"R7Arm_DynamicMugGrasping\"\n @testset \"$test_notebook\" begin\n file = string(test_notebook, \".ipynb\")\n @nbinclude...

f78a1288629efb613a10d2bcea6748e09d3df249

720

jl

Julia

test/tree.jl

eascarrunz/Phylodendron2.jl

e4164a2b6209536fcca9706890e53fba130f5165

[ "MIT" ]

null

test/tree.jl

eascarrunz/Phylodendron2.jl

e4164a2b6209536fcca9706890e53fba130f5165

[ "MIT" ]

2

2019-12-09T23:25:59.000Z

2019-12-23T19:44:05.000Z

test/tree.jl

eascarrunz/Phylodendron2.jl

e4164a2b6209536fcca9706890e53fba130f5165

[ "MIT" ]

null

using Phylodendron2 using Test @testset "Linking and unlinking" begin a = Node("A") b = Node("B") c = Node("C") d = Node("D") e = Node("E") br_ab = Branch() link!(a, b, br_ab) link!(a, c) link!(c, d) link!(c, e) @test length(a.links) == 2 @test a.links[1].to == b @test a.links[2].to == c @test length(...

20

38

0.581944

[ "@testset \"Linking and unlinking\" begin\n\ta = Node(\"A\")\n\tb = Node(\"B\")\n\tc = Node(\"C\")\n\td = Node(\"D\")\n\te = Node(\"E\")\n\n\tbr_ab = Branch()\n\n\tlink!(a, b, br_ab)\n\tlink!(a, c)\n\tlink!(c, d)\n\tlink!(c, e)\n\n\t@test length(a.links) == 2\n\t@test a.links[1].to == b\n\t@test a.links[2].to == c\...

f78ca5527140bff7043a310d947902909a78e74d

681

jl

Julia

test/iterativesolvers.jl

saolof/ITensors.jl

ae84b80ef55271dca1aa39dfcd4db350c4e864e1

[ "Apache-2.0" ]

1

2021-12-14T10:09:02.000Z

test/iterativesolvers.jl

saolof/ITensors.jl

ae84b80ef55271dca1aa39dfcd4db350c4e864e1

[ "Apache-2.0" ]

null

test/iterativesolvers.jl

saolof/ITensors.jl

ae84b80ef55271dca1aa39dfcd4db350c4e864e1

[ "Apache-2.0" ]

null

using ITensors using Test # Wrap an ITensor with pairs of primed and # unprimed indices to pass to davidson struct ITensorMap A::ITensor end Base.eltype(M::ITensorMap) = eltype(M.A) Base.size(M::ITensorMap) = dim(IndexSet(filterinds(M.A; plev=0)...)) (M::ITensorMap)(v::ITensor) = noprime(M.A * v) @testset "Complex ...

21.967742

68

0.628488

[ "@testset \"Complex davidson\" begin\n d = 10\n i = Index(d, \"i\")\n A = randomITensor(ComplexF64, i, i')\n A = mapprime(A * mapprime(dag(A), 0 => 2), 2 => 1)\n M = ITensorMap(A)\n \n v = randomITensor(i)\n λ, v = davidson(M, v; maxiter = 10)\n @test M(v) ≈ λ * v\n \n v = randomITensor(ComplexF64, i...

f78f15a12b33756293cc7614ddd3a48769b91043

1,226

jl

Julia

test/runtests.jl

akio-tomiya/Gaugefields.jl

dd2180dfe54eba7826ddd45a13ab2f5a007857d1

[ "MIT" ]

1

2022-01-24T14:21:45.000Z

test/runtests.jl

akio-tomiya/Gaugefields.jl

dd2180dfe54eba7826ddd45a13ab2f5a007857d1

[ "MIT" ]

12

2022-01-18T01:51:48.000Z

2022-03-25T01:14:03.000Z

test/runtests.jl

akio-tomiya/Gaugefields.jl

dd2180dfe54eba7826ddd45a13ab2f5a007857d1

[ "MIT" ]

null

using Gaugefields using Test using Random import Wilsonloop:loops_staple const eps = 1e-1 @testset "gradientflow_general" begin println("gradientflow with general action") include("gradientflow_general.jl") end @testset "gradientflow nowing" begin println("gradientflow nowing") include("gradientflow...

13.775281

52

0.71044

[ "@testset \"gradientflow_general\" begin\n println(\"gradientflow with general action\")\n include(\"gradientflow_general.jl\")\nend", "@testset \"gradientflow nowing\" begin\n println(\"gradientflow nowing\")\n include(\"gradientflow_test_nowing.jl\")\nend", "@testset \"gradientflow\" begin\n pr...

f79380ae33149f55e9f70eaec12827788dc2879f

5,480

jl

Julia

test/runtests.jl

JuliaTagBot/CharibdeOptim.jl

a1ec17ded88dbc8d0720bb3f220f4d728fecbba3

[ "ISC" ]

null

test/runtests.jl

JuliaTagBot/CharibdeOptim.jl

a1ec17ded88dbc8d0720bb3f220f4d728fecbba3

[ "ISC" ]

null

test/runtests.jl

JuliaTagBot/CharibdeOptim.jl

a1ec17ded88dbc8d0720bb3f220f4d728fecbba3

[ "ISC" ]

null

using Test, JuMP using Distributed addprocs(2) @everywhere using CharibdeOptim @everywhere using IntervalArithmetic @testset "Using Charibde for Constrained Optimsation" begin @everywhere using ModelingToolkit @everywhere vars = ModelingToolkit.@variables x y @everywhere C1 = constraint(vars, x+y, ...

40

182

0.598723

[ "@testset \"Using Charibde for Constrained Optimsation\" begin\n @everywhere using ModelingToolkit\n\n @everywhere vars = ModelingToolkit.@variables x y\n @everywhere C1 = constraint(vars, x+y, -Inf..4)\n @everywhere C2 = constraint(vars, x+3y, -Inf..9)\n @everywhere constraints = [C1, C2]\...

f7955887e028c72bfb30ed41a2e1d562fd0442b1

2,454

jl

Julia

test/runtests.jl

rbontekoe/AppliMaster.jl

cf0c5bf13120980650609480f13e836bcaabd622

[ "MIT" ]

null

test/runtests.jl

rbontekoe/AppliMaster.jl

cf0c5bf13120980650609480f13e836bcaabd622

[ "MIT" ]

null

test/runtests.jl

rbontekoe/AppliMaster.jl

cf0c5bf13120980650609480f13e836bcaabd622

[ "MIT" ]

null

# runtests.jl using AppliMaster using Test using AppliAR, AppliSales, AppliGeneralLedger using Query using DataFrames using Dates @testset "Test AppliSales" begin orders = AppliSales.process() @test length(orders) == 3 @test length(orders[1].students) == 1 @test length(orders[2].students) == 2 ...

30.675

105

0.690709

[ "@testset \"Test AppliSales\" begin\n orders = AppliSales.process()\n @test length(orders) == 3\n @test length(orders[1].students) == 1\n @test length(orders[2].students) == 2\n @test length(orders[3].students) == 1\n @test orders[1].training.price == 1000\nend", "@testset \" Test AppliAR - unpa...

f79651a2e460201b9a8e127eb2cf8b1e17288477

2,082

jl

Julia

test/box.jl

April-Hannah-Lena/GAIO.jl

5cc55575a615db337312a07fa295cf08f87d8cb4

[ "MIT" ]

7

2020-07-12T13:48:31.000Z

2021-12-20T02:11:02.000Z

test/box.jl

April-Hannah-Lena/GAIO.jl

5cc55575a615db337312a07fa295cf08f87d8cb4

[ "MIT" ]

25

2020-07-10T10:40:02.000Z

2022-03-30T09:01:02.000Z

test/box.jl

April-Hannah-Lena/GAIO.jl

5cc55575a615db337312a07fa295cf08f87d8cb4

[ "MIT" ]

3

2020-07-15T11:23:28.000Z

2021-12-20T02:11:05.000Z

using GAIO using StaticArrays using Test @testset "exported functionality" begin @testset "basics" begin center = SVector(0.0, 0.1) radius = SVector(10.0, 10.0) box = Box(center, radius) @test box.center == center @test box.radius == radius end @testset "types" begin...

33.047619

63

0.580211

[ "@testset \"exported functionality\" begin\n @testset \"basics\" begin\n center = SVector(0.0, 0.1)\n radius = SVector(10.0, 10.0)\n box = Box(center, radius)\n @test box.center == center\n @test box.radius == radius\n end\n @testset \"types\" begin\n center = SVec...

f79b047288c0de98e54f43ae36be2f8248502143

8,483

jl

Julia

test/sample_test.jl

pitmonticone/MitosisStochasticDiffEq.jl

f9f3621e6610b0f29a0418de59d0a85fa7b401f9

[ "MIT" ]

11

2021-02-21T20:52:11.000Z

2022-01-26T13:06:30.000Z

test/sample_test.jl

pitmonticone/MitosisStochasticDiffEq.jl

f9f3621e6610b0f29a0418de59d0a85fa7b401f9

[ "MIT" ]

46

2020-10-18T15:38:19.000Z

2021-10-05T22:32:51.000Z

test/sample_test.jl

pitmonticone/MitosisStochasticDiffEq.jl

f9f3621e6610b0f29a0418de59d0a85fa7b401f9

[ "MIT" ]

2

2021-04-02T21:54:59.000Z

2021-08-14T11:03:29.000Z

import MitosisStochasticDiffEq as MSDE using StochasticDiffEq using Mitosis using LinearAlgebra using SparseArrays using DiffEqNoiseProcess using Test, Random """ forwardsample(f, g, p, s, W, x) using the Euler-Maruyama scheme on a time-grid s with associated noise values W """ function forwardsample(f, g, p, s, Ws, ...

33.662698

111

0.597077

[ "@testset \"sampling tests\" begin\n # define SDE function\n f(u,p,t) = p[1]*u + p[2] - 1.5*sin.(u*2pi)\n g(u,p,t) = p[3] .- 0.2*(1 .-sin.(u))\n\n # set estimate of model parameters or true model parameters\n p = [-0.1,0.2,0.9]\n\n # time range\n tstart = 0.0\n tend = 1.0\n dt = 0.02\n trange = tstart:dt:...

f79bc25a4211811480a39c93622746f15296898e

30,461

jl

Julia

test/reflection.jl

rfourquet/julia

18674303bdfb5670f3bd36dd0e6ba0e6cf2bcd8b

[ "Zlib" ]

1

2020-08-14T16:07:35.000Z

test/reflection.jl

rfourquet/julia

18674303bdfb5670f3bd36dd0e6ba0e6cf2bcd8b

[ "Zlib" ]

null

test/reflection.jl

rfourquet/julia

18674303bdfb5670f3bd36dd0e6ba0e6cf2bcd8b

[ "Zlib" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license using Test # code_native / code_llvm (issue #8239) # It's hard to really test these, but just running them should be # sufficient to catch segfault bugs. module ReflectionTest using Test, Random function test_ir_reflection(freflect, f, ty...

33.584344

143

0.681593

[ "@testset \"issue #31687\" begin\n import InteractiveUtils._dump_function\n\n @noinline f31687_child(i) = f31687_nonexistent(i)\n f31687_parent() = f31687_child(0)\n params = Base.CodegenParams()\n _dump_function(f31687_parent, Tuple{},\n #=native=#false, #=wrapper=#false, #=strip=#...

f7a1dcb6a6e2de828dfa43c94a4ac74f64293ff1

61,402

jl

Julia

test/React.jl

lucifer1004/Pluto.jl

bfa99933273e8b6b989759db17e114b2f9879559

[ "MIT" ]

1

2022-02-04T17:46:20.000Z

test/React.jl

lucifer1004/Pluto.jl

bfa99933273e8b6b989759db17e114b2f9879559

[ "MIT" ]

1

2022-02-28T12:50:51.000Z

test/React.jl

lucifer1004/Pluto.jl

bfa99933273e8b6b989759db17e114b2f9879559

[ "MIT" ]

null

using Test import Pluto: Configuration, Notebook, ServerSession, ClientSession, update_run!, Cell, WorkspaceManager import Pluto.Configuration: Options, EvaluationOptions import Distributed @testset "Reactivity" begin 🍭 = ServerSession() 🍭.options.evaluation.workspace_use_distributed = false fakeclient ...

36.989157

159

0.55578

[ "@testset \"Reactivity\" begin\n 🍭 = ServerSession()\n 🍭.options.evaluation.workspace_use_distributed = false\n\n fakeclient = ClientSession(:fake, nothing)\n 🍭.connected_clients[fakeclient.id] = fakeclient\n\n @testset \"Basic $(parallel ? \"distributed\" : \"single-process\")\" for parallel in [...

f7ab34939f3e4311aa69f0e30b7b159e7529c94c

78

jl

Julia

test/data_driven/tokenize.jl

charleskawczynski/BetweenFlags.jl

ed922db49e17b6f7dd5e34f4856dc7a4fc7c3cd9

[ "Apache-2.0" ]

3

2019-03-08T08:03:03.000Z

2019-07-26T14:24:14.000Z

test/data_driven/tokenize.jl

charleskawczynski/BetweenFlags.jl

ed922db49e17b6f7dd5e34f4856dc7a4fc7c3cd9

[ "Apache-2.0" ]

18

2019-02-17T21:10:15.000Z

2020-10-16T23:54:10.000Z

test/data_driven/tokenize.jl

charleskawczynski/BetweenFlags.jl

ed922db49e17b6f7dd5e34f4856dc7a4fc7c3cd9

[ "Apache-2.0" ]

4

2019-07-26T14:25:02.000Z

2020-02-08T11:13:31.000Z

using Test @testset "Tokenize" begin include("julia_simple_func.jl") end

13

35

0.74359

[ "@testset \"Tokenize\" begin\n include(\"julia_simple_func.jl\")\nend" ]

f7ac012ffcab6f0e6690d2a0b1bf07758228c768

2,790

jl

Julia

test/runtests.jl

lhnguyen-vn/TreeParzen.jl

d6b4181a45167663e8844330220f0c62c715c75f

[ "BSD-3-Clause" ]

null

test/runtests.jl

lhnguyen-vn/TreeParzen.jl

d6b4181a45167663e8844330220f0c62c715c75f

[ "BSD-3-Clause" ]

null

test/runtests.jl

lhnguyen-vn/TreeParzen.jl

d6b4181a45167663e8844330220f0c62c715c75f

[ "BSD-3-Clause" ]

null

using Test @time @testset "Unit Tests" begin @testset "Small functions" begin @info "Bincount" @test include("bincount.jl") @info "Configuration" @test include("configuration.jl") @info "dfs" @test include("dfs.jl") @info "graph" @test include("gr...

22.868852

79

0.573835

[ "@time @testset \"Unit Tests\" begin\n @testset \"Small functions\" begin\n\n @info \"Bincount\"\n @test include(\"bincount.jl\")\n\n @info \"Configuration\"\n @test include(\"configuration.jl\")\n\n @info \"dfs\"\n @test include(\"dfs.jl\")\n\n @info \"graph\"\n ...

f7ae89cdae5a436ac972ba83a753e52357249ef5

7,620

jl

Julia

test/runtests.jl

treigerm/EPT.jl

e4e28168e9f1192273d2882d180432de5aab5a71

[ "MIT" ]

null

test/runtests.jl

treigerm/EPT.jl

e4e28168e9f1192273d2882d180432de5aab5a71

[ "MIT" ]

null

test/runtests.jl

treigerm/EPT.jl

e4e28168e9f1192273d2882d180432de5aab5a71

[ "MIT" ]

null

using EPT using Turing using Test using Random import AnnealedIS # rng = MersenneTwister(42) Random.seed!(42) @testset "EPT.jl" begin @testset "Expectation Macro" begin @expectation function expct(y) x ~ Normal(0, 1) y ~ Normal(x, 1) return x^2 end yv...

26.830986

92

0.556955

[ "@testset \"EPT.jl\" begin\n @testset \"Expectation Macro\" begin\n @expectation function expct(y)\n x ~ Normal(0, 1) \n y ~ Normal(x, 1)\n return x^2\n end\n\n yval = 1\n expct_conditioned = expct(yval)\n\n xval = 2\n vi = Turing.VarInfo...

f7b0637c15611f38918f57fc9d71790a92320927

14,702

jl

Julia

test/FileFormats/MOF/MOF.jl

egbuck/MathOptInterface.jl

a95e7d68adb2e60e40dd8c0bffe4fdbcfde24590

[ "MIT" ]

null

test/FileFormats/MOF/MOF.jl

egbuck/MathOptInterface.jl

a95e7d68adb2e60e40dd8c0bffe4fdbcfde24590

[ "MIT" ]

null

test/FileFormats/MOF/MOF.jl

egbuck/MathOptInterface.jl

a95e7d68adb2e60e40dd8c0bffe4fdbcfde24590

[ "MIT" ]

null

import MathOptInterface using Test const MOI = MathOptInterface const MOIU = MOI.Utilities const MOF = MOI.FileFormats.MOF const TEST_MOF_FILE = "test.mof.json" @test sprint(show, MOF.Model()) == "A MathOptFormat Model" include("nonlinear.jl") struct UnsupportedSet <: MOI.AbstractSet end struct UnsupportedFunction...

34.756501

83

0.534009

[ "@testset \"Error handling: read_from_file\" begin\n failing_models_dir = joinpath(@__DIR__, \"failing_models\")\n\n @testset \"Non-empty model\" begin\n model = MOF.Model(warn=true)\n MOI.add_variable(model)\n @test !MOI.is_empty(model)\n exception = ErrorException(\n \...

f7b55b0bdcd7bd2c15b230c6128ec5df9f2b837f

6,487

jl

Julia

test/MiscTest.jl

dcelisgarza/DDD

9257c619240a2b3bbdddd813d5e08ab71a07f7be

[ "MIT" ]

4

2020-05-30T03:22:57.000Z

2020-12-09T07:34:42.000Z

test/MiscTest.jl

dcelisgarza/DDD.jl

9257c619240a2b3bbdddd813d5e08ab71a07f7be

[ "MIT" ]

12

2020-02-03T10:26:41.000Z

2021-11-11T10:01:38.000Z

test/MiscTest.jl

dcelisgarza/DDD

9257c619240a2b3bbdddd813d5e08ab71a07f7be

[ "MIT" ]

2

2020-12-09T07:34:50.000Z

2021-11-10T03:24:45.000Z

using DDD using Test using DDD: makeInstanceDict, inclusiveComparison cd(@__DIR__) @testset "Geometry" begin arr = Int[3; 4; 6] @test isapprox(internalAngle(arr[1]), π / 3) @test isapprox(internalAngle(arr[2]), π / 2) @test isapprox(internalAngle(arr[3]), 2π / 3) @test isapprox(externalAngle(arr[1...

32.59799

83

0.548327

[ "@testset \"Geometry\" begin\n arr = Int[3; 4; 6]\n @test isapprox(internalAngle(arr[1]), π / 3)\n @test isapprox(internalAngle(arr[2]), π / 2)\n @test isapprox(internalAngle(arr[3]), 2π / 3)\n @test isapprox(externalAngle(arr[1]), 2π / 3)\n @test isapprox(externalAngle(arr[2]), π / 2)\n @test ...

f7b83eb9f5a639491aa268ad263f4e6435e368a3

3,007

jl

Julia

test/semipoly.jl

doppioandante/Symbolics.jl

b077a7935c515736916fa63469ad53b0abf2c2d2

[ "MIT" ]

1

2021-11-06T13:10:46.000Z

test/semipoly.jl

doppioandante/Symbolics.jl

b077a7935c515736916fa63469ad53b0abf2c2d2

[ "MIT" ]

45

2021-02-26T12:14:48.000Z

2021-02-26T12:30:33.000Z

test/semipoly.jl

doppioandante/Symbolics.jl

b077a7935c515736916fa63469ad53b0abf2c2d2

[ "MIT" ]

null

using Symbolics using Test using Random @variables x y z @test_throws ArgumentError semipolynomial_form(x,[x],0) d, r = semipolynomial_form(x, [x], 1) @test d == Dict(x=>1) @test r == 0 d, r = semipolynomial_form(x + sin(x) + 1 + y, [x], 1) @test d == Dict(x=>1) @test iszero(r - sin(x) - 1 - y) d, r = semipoly...

26.147826

82

0.438311

[ "@testset \"fuzz semi-polynomial-form ($i/20)\" begin\n trial()\n end" ]

f7b957ba7d72638e0bd6915795639204a39d020f

1,141

jl

Julia

test/reduce_test.jl

rohanmclure/ArrayChannels.jl

0098cdb23d16cca0e87ab2cdfcc86f24f7ae1c19

[ "MIT" ]

15

2019-07-06T14:01:29.000Z

2021-10-14T17:30:33.000Z

test/reduce_test.jl

rohanmclure/ArrayChannels.jl

0098cdb23d16cca0e87ab2cdfcc86f24f7ae1c19

[ "MIT" ]

8

2019-07-11T18:55:30.000Z

2020-08-31T16:10:59.000Z

test/reduce_test.jl

rohanmclure/ArrayChannels.jl

0098cdb23d16cca0e87ab2cdfcc86f24f7ae1c19

[ "MIT" ]

null

rmprocs(workers()...); addprocs(4); @assert nprocs() == 5 @everywhere using ArrayChannels using Test function test_reduce_two() @testset "Two-process Reduction" begin A = ArrayChannel(Float64, procs()[1:2], 10) println("Procs one and two: $(procs()[1:2])") fill!(A, 1.0) proc_2 = pro...

27.829268

57

0.501315

[ "@testset \"Two-process Reduction\" begin\n A = ArrayChannel(Float64, procs()[1:2], 10)\n println(\"Procs one and two: $(procs()[1:2])\")\n fill!(A, 1.0)\n proc_2 = procs()[2]\n @sync @spawnat proc_2 fill!(A, 1.0)\n @sync begin\n @async reduce!(+, A, 1)\n ...

f7b98638d64b0962128ef15999ff2e396ade61be

14,812

jl

Julia

test/BlockSystems_test.jl

hexaeder/IOSystems_prototype

93ae0593bd6430a2d686a22f21f3c17688234124

[ "MIT" ]

2

2020-12-21T14:29:32.000Z

2021-01-02T12:53:49.000Z

test/BlockSystems_test.jl

hexaeder/IOSystems_prototype

93ae0593bd6430a2d686a22f21f3c17688234124

[ "MIT" ]

null

test/BlockSystems_test.jl

hexaeder/IOSystems_prototype

93ae0593bd6430a2d686a22f21f3c17688234124

[ "MIT" ]

1

2021-01-02T12:54:54.000Z

using Test using BlockSystems using ModelingToolkit using ModelingToolkit: get_iv, get_eqs, get_states using LightGraphs @info "Tests of BlockSystems.jl" @testset "BlockSystems.jl" begin @testset "namespaced accessors" begin @parameters t i1(t) i2(t) a @variables x1(t) x2(t) o1(t) o2(t) D ...

44.48048

100

0.466784

[ "@testset \"BlockSystems.jl\" begin\n @testset \"namespaced accessors\" begin\n @parameters t i1(t) i2(t) a\n @variables x1(t) x2(t) o1(t) o2(t)\n D = Differential(t)\n eqs = [D(x1) ~ a*i1, o1~i1, D(x2) ~ i2, o2~i2]\n iob = IOBlock(eqs, [i1, i2], [o1, o2], name=:ns)\n @...

f7bad86a00d24607f18797a209af677bea40efd3

2,819

jl

Julia

script/investigate/two-sym-CV-gen-Siddhu-channel.jl

ChitambarLab/CVChannel.jl

479fa1e70d19b5434137f9017d99830796802d87

[ "MIT" ]

null

script/investigate/two-sym-CV-gen-Siddhu-channel.jl

ChitambarLab/CVChannel.jl

479fa1e70d19b5434137f9017d99830796802d87

[ "MIT" ]

4

2021-09-21T00:29:01.000Z

2021-10-15T00:35:15.000Z

script/investigate/two-sym-CV-gen-Siddhu-channel.jl

ChitambarLab/cv-channel

479fa1e70d19b5434137f9017d99830796802d87

[ "MIT" ]

null

using CVChannel using Test using DelimitedFiles """ This script looks at the communication value of the generalized Siddhu channel using SDP relaxations. Specifically, it shows that 2-sym cv is effectively the same as cv PPT, and that they are loose at least some of the time. It also shows multiplicativity over PPT con...

41.455882

93

0.668322

[ "@testset \"Investigate generalized Siddhu channel\" begin\n println(\"We calculate cvPPT, 2symCV, and cvPPT of the channel ran in parallel.\")\n println(\"We then show that 2symCV provides no improvement to cvPPT and that cvPPT\")\n println(\"is effectively multiplicative for the gen Siddhu with itself.\"...

f7bc9183de8b016fa5a1369493a28366ff6a961a

207

jl

Julia

test/runtests.jl

invenia/Hyperparameters.jl

625ff9f79d9f0347963147345ecaa06c90fdad21

[ "MIT" ]

1

2022-01-25T09:24:39.000Z

test/runtests.jl

invenia/Hyperparameters.jl

625ff9f79d9f0347963147345ecaa06c90fdad21

[ "MIT" ]

15

2020-06-26T20:08:04.000Z

2021-08-16T19:44:21.000Z

test/runtests.jl

invenia/Hyperparameters.jl

625ff9f79d9f0347963147345ecaa06c90fdad21

[ "MIT" ]

null

using Hyperparameters using FilePathsBase using JSON using Memento using Memento.TestUtils using Test const LOGGER = getlogger() @testset "Hyperparameters.jl" begin include("hyperparameters.jl") end

13.8

35

0.797101

[ "@testset \"Hyperparameters.jl\" begin\n include(\"hyperparameters.jl\")\nend" ]

f7c10b43cf6f04d7dfc243e511610325565f3496

7,689

jl

Julia

test/geometrytypes.jl

pauljurczak/GeometryBasics.jl

e9c9e0cc4b6b3aa28572d56c982af8588420c43d

[ "MIT" ]

null

test/geometrytypes.jl

pauljurczak/GeometryBasics.jl

e9c9e0cc4b6b3aa28572d56c982af8588420c43d

[ "MIT" ]

null

test/geometrytypes.jl

pauljurczak/GeometryBasics.jl

e9c9e0cc4b6b3aa28572d56c982af8588420c43d

[ "MIT" ]

null

using Test, GeometryBasics @testset "algorithms.jl" begin cube = Rect(Vec3f0(-0.5), Vec3f0(1)) cube_faces = decompose(TriangleFace{Int}, QuadFace{Int}[ (1,3,4,2), (2,4,8,6), (4,3,7,8), (1,5,7,3), (1,2,6,5), (5,6,8,7), ]) cube_vertices = decompose(Point{3,...

32.306723

155

0.506048

[ "@testset \"algorithms.jl\" begin\n cube = Rect(Vec3f0(-0.5), Vec3f0(1))\n cube_faces = decompose(TriangleFace{Int}, QuadFace{Int}[\n (1,3,4,2),\n (2,4,8,6),\n (4,3,7,8),\n (1,5,7,3),\n (1,2,6,5),\n (5,6,8,7),\n ])\n cube_vertices = decompose(Point{3,Float32}, c...

f7c267ff442a8c8ba73c58df7ba33a1f9ca64cdc

1,817

jl

Julia

test/compare_nearestneighbors.jl

UnofficialJuliaMirror/HNSW.jl-540f64fa-c57e-11e8-081c-41422cda4629

bdef8e7d2d47cb36a0c75feaf71dd89caef30312

[ "MIT" ]

null

test/compare_nearestneighbors.jl

UnofficialJuliaMirror/HNSW.jl-540f64fa-c57e-11e8-081c-41422cda4629

bdef8e7d2d47cb36a0c75feaf71dd89caef30312

[ "MIT" ]

null

test/compare_nearestneighbors.jl

UnofficialJuliaMirror/HNSW.jl-540f64fa-c57e-11e8-081c-41422cda4629

bdef8e7d2d47cb36a0c75feaf71dd89caef30312

[ "MIT" ]

null

using NearestNeighbors using HNSW using StaticArrays using Statistics using Test @testset "Compare To NearestNeighbors.jl" begin dim = 5 num_elements = 10000 num_queries = 1000 data = [@SVector rand(Float32, dim) for n ∈ 1:num_elements] tree = KDTree(data) queries = [@SVector rand(Float32, dim)...

30.283333

79

0.539351

[ "@testset \"Compare To NearestNeighbors.jl\" begin\n dim = 5\n num_elements = 10000\n num_queries = 1000\n data = [@SVector rand(Float32, dim) for n ∈ 1:num_elements]\n tree = KDTree(data)\n queries = [@SVector rand(Float32, dim) for n ∈ 1:num_queries]\n @testset \"M=$M, K=1\" for M ∈ [5, 10]\n...

f7cd37586fcfb537c3930fb632fb894a7b745bed

23,279

jl

Julia

test/filterfit.jl

NicholasWMRitchie/NeXLSpectrum

e40990f68850fc2e732d0c6e13acdfbfbf5b1a31

[ "Unlicense" ]

null

test/filterfit.jl

NicholasWMRitchie/NeXLSpectrum

e40990f68850fc2e732d0c6e13acdfbfbf5b1a31

[ "Unlicense" ]

null

test/filterfit.jl

NicholasWMRitchie/NeXLSpectrum

e40990f68850fc2e732d0c6e13acdfbfbf5b1a31

[ "Unlicense" ]

null

using Test using NeXLSpectrum using Statistics using LinearAlgebra using DataFrames @testset "Filter Fitting" begin @testset "Filter" begin eds = simpleEDS(2048, 10.0, 0.0, 135.0) filt = buildfilter(eds) # Each row sums to zero @test all( isapprox(sum(NeXLSpectrum.filter...

46.280318

180

0.549594

[ "@testset \"Filter Fitting\" begin\n @testset \"Filter\" begin\n eds = simpleEDS(2048, 10.0, 0.0, 135.0)\n filt = buildfilter(eds)\n # Each row sums to zero\n @test all(\n isapprox(sum(NeXLSpectrum.filterdata(filt, row)), 0.0, atol = 1.0e-8) for\n row in size(fil...

f7cf3f1d35f79bc4e63eb2273441f41ee6e86558

3,917

jl

Julia

20/src/11.jl

CmdQ/AoC

1ab6118e4d2c71df06326b08f1b0dc5f2e664f1d

[ "Unlicense" ]

1

2020-12-07T10:27:26.000Z

20/src/11.jl

CmdQ/AoC2020

78f96de7b050291df9e5ed56b314f8cb3aa5856c

[ "Unlicense" ]

null

20/src/11.jl

CmdQ/AoC2020

78f96de7b050291df9e5ed56b314f8cb3aa5856c

[ "Unlicense" ]

null

using Chain using Underscores using Utils @enum Seat::Int8 floor=Int('.') empty=Int('L') occupied=Int('#') void=Int('?') function parse_line(line::String)::Array{Seat} @chain line begin collect map(Seat ∘ Int, _) end end function embed(m) a, b = size(m) re = fill(void, (a+2, b+2)) ...

21.288043

99

0.490426

[ "@testset \"Adapter Array\" begin\n input = \"\"\"\n L.LL.LL.LL\n LLLLLLL.LL\n L.L.L..L..\n LLLL.LL.LL\n L.LL.LL.LL\n L.LLLLL.LL\n ..L.L.....\n LLLLLLLLLL\n L.LLLLLL.L\n L.LLLLL.LL\n \"\"\"\n\n\n example = parse_file(IOBuffer(input))...

f7d093827f0dbc35982c3a02d5ed3e5b94851ae1

28,567

jl

Julia

stdlib/REPL/test/lineedit.jl

greimel/julia

1c6f89f04a1ee4eba8380419a2b01426e84f52aa

[ "Zlib" ]

18

2018-03-17T16:54:52.000Z

2021-11-14T20:28:51.000Z

stdlib/REPL/test/lineedit.jl

greimel/julia

1c6f89f04a1ee4eba8380419a2b01426e84f52aa

[ "Zlib" ]

8

2018-09-27T01:16:58.000Z

2018-12-05T23:33:08.000Z

stdlib/REPL/test/lineedit.jl

greimel/julia

1c6f89f04a1ee4eba8380419a2b01426e84f52aa

[ "Zlib" ]

3

2018-03-21T14:40:39.000Z

2020-05-04T19:15:03.000Z

# This file is a part of Julia. License is MIT: https://julialang.org/license using Test using REPL import REPL.LineEdit import REPL.LineEdit: edit_insert, buffer, content, setmark, getmark, region include("FakeTerminals.jl") import .FakeTerminals.FakeTerminal # no need to have animation in tests REPL.GlobalOptions....

32.425653

106

0.627612

[ "@testset \"edit_word_transpose\" begin\n local buf, mode\n buf = IOBuffer()\n mode = Ref{Symbol}()\n transpose!(i) = transform!(buf -> LineEdit.edit_transpose_words(buf, mode[]),\n buf, i)[1:2]\n\n mode[] = :readline\n edit_insert(buf, \"àbç def gh \")\n @test tr...

f7d100424158c40fab8a56ecc76f0460d2477cb5

4,306

jl

Julia

test/runtests.jl

asinghvi17/ColorSchemes.jl

cb4d8314c4327d98b94ff7bc18826748e078de6d

[ "Apache-2.0", "CC0-1.0" ]

null

test/runtests.jl

asinghvi17/ColorSchemes.jl

cb4d8314c4327d98b94ff7bc18826748e078de6d

[ "Apache-2.0", "CC0-1.0" ]

null

test/runtests.jl

asinghvi17/ColorSchemes.jl

cb4d8314c4327d98b94ff7bc18826748e078de6d

[ "Apache-2.0", "CC0-1.0" ]

null

using Test, Colors, ColorSchemes, ColorTypes, FixedPointNumbers monalisa = ColorScheme([ RGB(0.05482025926320272, 0.016508952654741622, 0.019315160361063788), RGB(0.07508160782698388, 0.034110215845969745, 0.039708343938094984), RGB(0.10884977211887092, 0.033667530751245296, 0.026120424375656533), RGB(...

41.009524

78

0.699721

[ "@testset \"basic tests\" begin\n @test length(monalisa) == 32\n @test length(monalisa.colors) == 32\n # test that sampling schemes yield different values\n @test get(monalisa, 0.0) != get(monalisa, 0.5)\nend", "@testset \"conversion tests\" begin\n # convert an Array{T,2} to an RGB image\n tmp ...

f7d3ff4ee03842b391b967e0ebc86e413e6959cb

1,216

jl

Julia

test/test_ensemble.jl

quinnj/AMLPipelineBase.jl

ab244b3934d82c9036e309ce26e9797ffa89a1e4

[ "MIT" ]

null

test/test_ensemble.jl

quinnj/AMLPipelineBase.jl

ab244b3934d82c9036e309ce26e9797ffa89a1e4

[ "MIT" ]

null

test/test_ensemble.jl

quinnj/AMLPipelineBase.jl

ab244b3934d82c9036e309ce26e9797ffa89a1e4

[ "MIT" ]

null

module TestEnsembleMethods using Test using Random using AMLPipelineBase using DataFrames function generateXY() Random.seed!(123) iris = getiris() indx = Random.shuffle(1:nrow(iris)) features=iris[indx,1:4] sp = iris[indx,5] |> Vector (features,sp) end function getprediction(model,features,o...

21.714286

59

0.702303

[ "@testset \"Ensemble learners\" begin\n Random.seed!(123)\n test_ensembles()\nend", "@testset \"Vararg Ensemble Test\" begin\n Random.seed!(123)\n test_vararg()\nend" ]

f7d7e4492e2c22a8656ff9737d6962f470752ddc

19,228

jl

Julia

test/runtests.jl

UnofficialJuliaMirror/OffsetArrays.jl-6fe1bfb0-de20-5000-8ca7-80f57d26f881

950bb889753bfbdcd5313b6f1eb814b28f1a26c2

[ "MIT" ]

null

test/runtests.jl

UnofficialJuliaMirror/OffsetArrays.jl-6fe1bfb0-de20-5000-8ca7-80f57d26f881

950bb889753bfbdcd5313b6f1eb814b28f1a26c2

[ "MIT" ]

null

test/runtests.jl

UnofficialJuliaMirror/OffsetArrays.jl-6fe1bfb0-de20-5000-8ca7-80f57d26f881

950bb889753bfbdcd5313b6f1eb814b28f1a26c2

[ "MIT" ]

null

using OffsetArrays using Test using DelimitedFiles using OffsetArrays: IdentityUnitRange, no_offset_view using CatIndices: BidirectionalVector @test isempty(detect_ambiguities(OffsetArrays, Base, Core)) @testset "Single-entry arrays in dims 0:5" begin for n = 0:5 for z in (OffsetArray(ones(Int,ntuple(d->1...

33.266436

138

0.545611

[ "@testset \"Single-entry arrays in dims 0:5\" begin\n for n = 0:5\n for z in (OffsetArray(ones(Int,ntuple(d->1,n)), ntuple(x->x-1,n)),\n fill!(OffsetArray{Float64}(undef, ntuple(x->x:x, n)), 1),\n fill!(OffsetArray{Float64}(undef, ntuple(x->x:x, n)...), 1),\n ...

f7dba5dc67cea436c10e802319e6dfd2ff84489b

105

jl

Julia

test/runtests.jl

Lyceum/LyceumDevTools.jl

92bb0735bfc4f3921ca7396bf4e351b14ad811ca

[ "MIT" ]

null

test/runtests.jl

Lyceum/LyceumDevTools.jl

92bb0735bfc4f3921ca7396bf4e351b14ad811ca

[ "MIT" ]

null

test/runtests.jl

Lyceum/LyceumDevTools.jl

92bb0735bfc4f3921ca7396bf4e351b14ad811ca

[ "MIT" ]

null

using LyceumDevTools using Test @testset "LyceumDevTools.jl" begin # Write your own tests here. end

15

34

0.761905

[ "@testset \"LyceumDevTools.jl\" begin\n # Write your own tests here.\nend" ]

f7dedd6608a9b67dff230b090c5ceda250ff3368

10,407

jl

Julia

test/avio.jl

caleb-allen/VideoIO.jl

2dfa72e16c9b82107285a8a132ce1ec689a6b440

[ "MIT" ]

null

test/avio.jl

caleb-allen/VideoIO.jl

2dfa72e16c9b82107285a8a132ce1ec689a6b440

[ "MIT" ]

null

test/avio.jl

caleb-allen/VideoIO.jl

2dfa72e16c9b82107285a8a132ce1ec689a6b440

[ "MIT" ]

null

using Test using ColorTypes: RGB, Gray, N0f8 using FileIO, ImageCore, Dates, Statistics using Statistics, StatsBase import VideoIO createmode = false testdir = dirname(@__FILE__) videodir = joinpath(testdir, "..", "videos") VideoIO.TestVideos.available() VideoIO.TestVideos.download_all() swapext(f, new_ext) = "$(s...

38.83209

133

0.607284

[ "@testset \"Reading of various example file formats\" begin\n for name in VideoIO.TestVideos.names()\n @testset \"Reading $name\" begin\n first_frame_file = joinpath(testdir, swapext(name, \".png\"))\n !createmode && (first_frame = load(first_frame_file))\n\n f = VideoIO.t...

f7e1de692c429e70b145e220a315b80be849b4a6

1,321

jl

Julia

test/loading.jl

JuliaAI/MLJModels.jl

b3e1b7973d30c275ace5713726322355ea976d97

[ "MIT" ]

15

2021-07-06T16:11:32.000Z

2022-03-17T12:22:26.000Z

test/loading.jl

JuliaAI/MLJModels.jl

b3e1b7973d30c275ace5713726322355ea976d97

[ "MIT" ]

63

2021-06-30T03:54:16.000Z

2022-03-15T21:02:42.000Z

test/loading.jl

JuliaAI/MLJModels.jl

b3e1b7973d30c275ace5713726322355ea976d97

[ "MIT" ]

5

2021-08-28T10:43:44.000Z

2022-03-31T05:57:00.000Z

module TestLoading using Test using MLJModels using MLJBase function isloaded(name::String, pkg::String) (name, pkg) in map(localmodels()) do m (m.name, m.package_name) end end @load AdaBoostStumpClassifier pkg=DecisionTree verbosity=0 @test isloaded("AdaBoostStumpClassifier", "DecisionTree") # buil...

23.589286

71

0.762301

[ "@testset \"@load from within a function within a module\" begin\n model = FooBar.regressor()\n @test isdefined(model, :bias)\nend" ]

f7e3e93acd27e6c3303e713038cf65bb88ef80b8

44,775

jl

Julia

test/precompile.jl

TechPenguineer/julia

aa17702e0e24a8a2afd511e6e869e68f31daf709

[ "MIT" ]

null

test/precompile.jl

TechPenguineer/julia

aa17702e0e24a8a2afd511e6e869e68f31daf709

[ "MIT" ]

null

test/precompile.jl

TechPenguineer/julia

aa17702e0e24a8a2afd511e6e869e68f31daf709

[ "MIT" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license using Test, Distributed, Random Foo_module = :Foo4b3a94a1a081a8cb Foo2_module = :F2oo4b3a94a1a081a8cb FooBase_module = :FooBase4b3a94a1a081a8cb @eval module ConflictingBindings export $Foo_module, $FooBase_module $Foo_module = 232 ...

34.62877

152

0.566499

[ "@testset \"issue 38149\" begin\n M = Module()\n @eval M begin\n @nospecialize\n f(x, y) = x + y\n f(x::Int, y) = 2x + y\n end\n precompile(M.f, (Int, Any))\n precompile(M.f, (AbstractFloat, Any))\n mis = map(methods(M.f)) do m\n m.specializations[1]\n end\n @test...

f7e46ec3d41064780e59b866ae77ec4fd8d1c2ef

36,092

jl

Julia

stdlib/SuiteSparse/test/cholmod.jl

syntapy/julia

4fc446f1790fe04e227ff96ab75a01d130e2d930

[ "Zlib" ]

1

2019-07-14T04:08:02.000Z

stdlib/SuiteSparse/test/cholmod.jl

syntapy/julia

4fc446f1790fe04e227ff96ab75a01d130e2d930

[ "Zlib" ]

null

stdlib/SuiteSparse/test/cholmod.jl

syntapy/julia

4fc446f1790fe04e227ff96ab75a01d130e2d930

[ "Zlib" ]

null

# This file is a part of Julia. License is MIT: https://julialang.org/license using SuiteSparse.CHOLMOD using DelimitedFiles using Test using Random using Serialization using LinearAlgebra: issuccess, PosDefException # CHOLMOD tests Random.seed!(123) @testset "based on deps/SuiteSparse-4.0.2/CHOLMOD/Demo/" begin # ...

42.361502

168

0.620442

[ "@testset \"based on deps/SuiteSparse-4.0.2/CHOLMOD/Demo/\" begin\n\n# chm_rdsp(joinpath(Sys.BINDIR, \"../../deps/SuiteSparse-4.0.2/CHOLMOD/Demo/Matrix/bcsstk01.tri\"))\n# because the file may not exist in binary distributions and when a system suitesparse library\n# is used\n\n## Result from C program\n## --------...

f7e873f50aecf4ae0d56cb398b44a52cf2fe5459

155

jl

Julia

test/shallow_water/runtests.jl

sandreza/Atum.jl

c03d3ff0a6fd0a6891de93747437ad0931572db7

[ "MIT" ]

3

2021-07-06T16:49:53.000Z

2021-11-30T20:05:40.000Z

test/shallow_water/runtests.jl

sandreza/Atum.jl

c03d3ff0a6fd0a6891de93747437ad0931572db7

[ "MIT" ]

1

2022-03-08T00:43:04.000Z

2022-03-08T00:43:27.000Z

test/shallow_water/runtests.jl

sandreza/Atum.jl

c03d3ff0a6fd0a6891de93747437ad0931572db7

[ "MIT" ]

2

2021-07-06T16:49:56.000Z

2022-03-03T20:40:30.000Z

using Test using SafeTestsets @testset "shallow_water" begin @safetestset "entropy_conservation_1d" begin include("entropy_conservation_1d.jl") end end

22.142857

88

0.825806

[ "@testset \"shallow_water\" begin\n @safetestset \"entropy_conservation_1d\" begin include(\"entropy_conservation_1d.jl\") end\nend" ]