hexsha stringlengths 40 40 | size int64 38 969k | ext stringclasses 1
value | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 106 | max_stars_repo_name stringlengths 8 104 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 4 | max_stars_count int64 1 38.8k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 106 | max_issues_repo_name stringlengths 8 104 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 4 | max_issues_count int64 1 53.3k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 106 | max_forks_repo_name stringlengths 8 104 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 4 | max_forks_count int64 1 6.24k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 38 969k | avg_line_length float64 6.33 6.5k | max_line_length int64 15 269k | alphanum_fraction float64 0.18 0.91 | test_functions listlengths 1 212 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
735c97e45f29ac5af50c1a7faa9b2f7f16ee53d8 | 1,816 | jl | Julia | test/runtests.jl | UnofficialJuliaMirrorSnapshots/PETScBinaryIO.jl-7d8a6817-b67b-57e2-acac-4a73d125cd6b | 6976c9d0fef9d8f356fd2be82f0115acd644ba15 | [
"BSD-2-Clause"
] | 2 | 2019-04-09T16:51:08.000Z | 2019-10-20T02:21:52.000Z | test/runtests.jl | UnofficialJuliaMirrorSnapshots/PETScBinaryIO.jl-7d8a6817-b67b-57e2-acac-4a73d125cd6b | 6976c9d0fef9d8f356fd2be82f0115acd644ba15 | [
"BSD-2-Clause"
] | 1 | 2019-12-19T17:57:12.000Z | 2019-12-19T17:59:46.000Z | test/runtests.jl | UnofficialJuliaMirrorSnapshots/PETScBinaryIO.jl-7d8a6817-b67b-57e2-acac-4a73d125cd6b | 6976c9d0fef9d8f356fd2be82f0115acd644ba15 | [
"BSD-2-Clause"
] | null | null | null | using PETScBinaryIO
using Test
using SparseArrays
function idempotent_io(int_type, scalar_type, itype_check, stype_check)
try
itype, stype = if int_type == nothing
PETScBinaryIO.parse_petsc_config()
else
int_type, scalar_type
end
A = rand(stype, 1000)
... | 33.62963 | 120 | 0.531388 | [
"@testset \"Test Suite\" begin\n @testset \"Idempotent IO\" begin\n for itype in [Int32, Int64]\n for stype in [Float32, Float64]\n @testset \"$itype $stype\" begin\n @test idempotent_io(itype, stype, itype, stype)\n end\n\n @tests... |
735cd88c1375874be30ba9e6d002d6438fd5ca12 | 6,309 | jl | Julia | test/boundscheck_exec.jl | jonas-schulze/julia | 5bf1ca5c724143091973ef6632f1b3026d8021af | [
"MIT"
] | 38,805 | 2015-01-01T05:53:59.000Z | 2022-03-31T23:28:26.000Z | test/boundscheck_exec.jl | jonas-schulze/julia | 5bf1ca5c724143091973ef6632f1b3026d8021af | [
"MIT"
] | 30,742 | 2015-01-01T00:00:30.000Z | 2022-03-31T23:04:10.000Z | test/boundscheck_exec.jl | jonas-schulze/julia | 5bf1ca5c724143091973ef6632f1b3026d8021af | [
"MIT"
] | 6,238 | 2015-01-01T00:34:44.000Z | 2022-03-31T19:37:03.000Z | # This file is a part of Julia. License is MIT: https://julialang.org/license
module TestBoundsCheck
using Test, Random, InteractiveUtils
@enum BCOption bc_default bc_on bc_off
bc_opt = BCOption(Base.JLOptions().check_bounds)
# test for boundscheck block eliminated at same level
@inline function A1()
r = 0
... | 22.858696 | 139 | 0.647012 | [
"@testset \"pass inbounds meta to getindex on CartesianIndices (#42115)\" begin\n @inline getindex_42115(r, i, j) = @inbounds getindex(r, i, j)\n\n R = CartesianIndices((5, 5))\n if bc_opt == bc_on\n @test_throws BoundsError getindex_42115(R, -1, -1)\n @test_throws BoundsError getindex_42115(... |
735f6fd3dd639f4fffffedced12314e98d554f7d | 36,728 | jl | Julia | test/test_lininterp.jl | floswald/ApproXD.jl | ad168c9a7a1522d9d4e4739a184ee34b5db36131 | [
"MIT"
] | 26 | 2015-03-24T21:27:41.000Z | 2022-02-26T17:18:42.000Z | test/test_lininterp.jl | floswald/ApproXD.jl | ad168c9a7a1522d9d4e4739a184ee34b5db36131 | [
"MIT"
] | 9 | 2015-02-23T10:28:52.000Z | 2019-05-12T07:25:37.000Z | test/test_lininterp.jl | floswald/ApproXD.jl | ad168c9a7a1522d9d4e4739a184ee34b5db36131 | [
"MIT"
] | 4 | 2015-09-08T10:34:03.000Z | 2017-05-17T12:33:48.000Z |
module test_lin
using ApproXD
using Test
# using SparseArrays
# using LinearAlgebra
@testset "constructor for 1D Lininterp on a single function" begin
vs = rand(4)
gs = Array{Float64,1}[]
push!(gs, range(2.0, stop = 3, length = 4))
l = Lininterp(vs,gs)
@test ApproXD.getDims(l) == [4]
@test l.n == 1
@test l.... | 28.828885 | 84 | 0.570845 | [
"@testset \"constructor for 1D Lininterp on a single function\" begin\n\n\tvs = rand(4)\n\tgs = Array{Float64,1}[]\n\tpush!(gs, range(2.0, stop = 3, length = 4))\n\n\tl = Lininterp(vs,gs)\n\n\t@test ApproXD.getDims(l) == [4]\n\t@test l.n == 1\n\t@test l.nfunc == 1\n\t@test l.ifunc == [1]\n\t@test l.infs == zeros(1)... |
735fa27359597a53d3c4a7b439670d1cde02ba48 | 723 | jl | Julia | test/runtests.jl | ssghost/CombinedParsers.jl | 3424b8b8a505ad36c9f8a17997aa5c5f3f96929c | [
"MIT"
] | 1 | 2021-07-26T11:04:20.000Z | 2021-07-26T11:04:20.000Z | test/runtests.jl | ssghost/CombinedParsers.jl | 3424b8b8a505ad36c9f8a17997aa5c5f3f96929c | [
"MIT"
] | null | null | null | test/runtests.jl | ssghost/CombinedParsers.jl | 3424b8b8a505ad36c9f8a17997aa5c5f3f96929c | [
"MIT"
] | null | null | null | using CombinedParsers
using Test
@testset "CombinedParsers.jl" begin
include("test-parser.jl")
include("test-re.jl")
include("pcretest-parser.jl")
end
import TextParse
import TextParse: Numeric
import Dates
@testset "TextParse" begin
@test parser(Numeric(Int)) isa CombinedParser
@test !(TextParse.... | 27.807692 | 71 | 0.66805 | [
"@testset \"CombinedParsers.jl\" begin\n include(\"test-parser.jl\")\n include(\"test-re.jl\")\n include(\"pcretest-parser.jl\")\nend",
"@testset \"TextParse\" begin\n @test parser(Numeric(Int)) isa CombinedParser\n @test !(TextParse.Numeric(Int) isa CombinedParser)\n @test parse((\"some \" * Nu... |
736219489e290dce41f02dfd305216df8030ab44 | 3,443 | jl | Julia | test/astable.jl | etpinard/DataFramesMeta.jl | 0a41fccc86cc2468733206cdbbb9002be41dd42f | [
"MIT"
] | null | null | null | test/astable.jl | etpinard/DataFramesMeta.jl | 0a41fccc86cc2468733206cdbbb9002be41dd42f | [
"MIT"
] | null | null | null | test/astable.jl | etpinard/DataFramesMeta.jl | 0a41fccc86cc2468733206cdbbb9002be41dd42f | [
"MIT"
] | null | null | null | module Testbyrow
using Test
using DataFrames
using DataFramesMeta
using Statistics
const ≅ = isequal
@testset "@transform with cols(AsTable)" begin
df = DataFrame(
g = [1, 1, 1, 2, 2],
i = 1:5,
t = ["a", "b", "c", "c", "e"],
y = [:v, :w, :x, :y, :z],
c = [:g, :quote, :body... | 23.421769 | 79 | 0.422016 | [
"@testset \"@transform with cols(AsTable)\" begin\n df = DataFrame(\n g = [1, 1, 1, 2, 2],\n i = 1:5,\n t = [\"a\", \"b\", \"c\", \"c\", \"e\"],\n y = [:v, :w, :x, :y, :z],\n c = [:g, :quote, :body, :transform, missing])\n\n d = @transform df cols(AsTable) = (a = 1, b = 2)\... |
7364a5e81c957f80d674a6fe0bc12b483f5293ce | 101 | jl | Julia | test/runtests.jl | hildebrandmw/HugepageMmap.jl | b10de2717d993a6ae4d57dab5b402b838f57af9d | [
"MIT"
] | 1 | 2020-07-03T11:56:21.000Z | 2020-07-03T11:56:21.000Z | test/runtests.jl | hildebrandmw/HugepageMmap.jl | b10de2717d993a6ae4d57dab5b402b838f57af9d | [
"MIT"
] | null | null | null | test/runtests.jl | hildebrandmw/HugepageMmap.jl | b10de2717d993a6ae4d57dab5b402b838f57af9d | [
"MIT"
] | null | null | null | using HugepageMmap
using Test
@testset "HugepageMmap.jl" begin
# Write your own tests here.
end
| 14.428571 | 32 | 0.752475 | [
"@testset \"HugepageMmap.jl\" begin\n # Write your own tests here.\nend"
] |
73667320d9428a8d4d79cc4b74e77e35033d20c1 | 1,020 | jl | Julia | test/runtests.jl | JuliaOcean/OceanColorData.jl | 7c80423632f42a37132f8f4809cd6336ef2c2177 | [
"MIT"
] | 5 | 2021-05-05T18:52:32.000Z | 2022-02-18T01:27:36.000Z | test/runtests.jl | JuliaOcean/OceanColorData.jl | 7c80423632f42a37132f8f4809cd6336ef2c2177 | [
"MIT"
] | 1 | 2020-03-20T13:47:42.000Z | 2020-04-22T20:22:10.000Z | test/runtests.jl | gaelforget/OceanColorData.jl | 7c80423632f42a37132f8f4809cd6336ef2c2177 | [
"MIT"
] | null | null | null | using OceanColorData
using Test
@testset "OceanColorData.jl" begin
wvbd_out=[412, 443, 490, 510, 555, 670]
wvbd_in=[400,425,450,475,500,525,550,575,600,625,650,675,700]
rirr_in=1e-3*[23.7641,26.5037,27.9743,30.4914,28.1356,
21.9385,18.6545,13.5100,5.6338,3.9272,2.9621,2.1865,1.8015]
rrs_ref=1e-3*[4.4099, 4.8533, ... | 39.230769 | 89 | 0.772549 | [
"@testset \"OceanColorData.jl\" begin\n\nwvbd_out=[412, 443, 490, 510, 555, 670]\nwvbd_in=[400,425,450,475,500,525,550,575,600,625,650,675,700]\nrirr_in=1e-3*[23.7641,26.5037,27.9743,30.4914,28.1356,\n 21.9385,18.6545,13.5100,5.6338,3.9272,2.9621,2.1865,1.8015]\nrrs_ref=1e-3*[4.4099, 4.8533, 5.1247, 4.5137, 3.08... |
7367c3b5979f0e3fab0f2155400d40ad68a20a18 | 10,461 | jl | Julia | test/runtests.jl | zachmatson/ArgMacros.jl | f0ec2c9fea5d9b7201fd81401a6b1d1dea74c47d | [
"MIT"
] | 29 | 2020-05-19T19:41:31.000Z | 2022-03-13T03:45:02.000Z | test/runtests.jl | zachmatson/ArgMacros.jl | f0ec2c9fea5d9b7201fd81401a6b1d1dea74c47d | [
"MIT"
] | 8 | 2020-05-19T21:37:41.000Z | 2022-03-31T04:23:45.000Z | test/runtests.jl | zachmatson/ArgMacros.jl | f0ec2c9fea5d9b7201fd81401a6b1d1dea74c47d | [
"MIT"
] | 2 | 2020-05-19T21:35:57.000Z | 2020-12-28T21:36:39.000Z | println("Times for 11 argument example using all macros")
println("Load Time (using ArgMacros)")
@time using ArgMacros
using Test
# Commands Set 1
let
empty!(ARGS)
append!(ARGS, ["TEST STRING F", "-deeee", "30", "3.14", "-b=6.28", "--cc", "ArgMacros", "-a", "2", "4", "5", "6"])
println("Inline Arguments T... | 35.222222 | 134 | 0.559316 | [
"@testset \"Incorrect Arguments Rejected\" begin\n # Make sure the test script is set up and working with correct args\n @test success(`julia --project=.. get_args_no_fail_at_exit.jl -- \"TEST STRING F\" -deeee 30 3.14 -b=6.28 --cc ArgMacros -a 2`)\n # These should fail\n @test !success(`julia --project... |
73680650cfcccc719c2ef4da5df997a776a8745c | 7,370 | jl | Julia | test/indexset.jl | orialb/ITensors.jl | 6a3992ab636944503a3697b39e2c909688806e84 | [
"Apache-2.0"
] | null | null | null | test/indexset.jl | orialb/ITensors.jl | 6a3992ab636944503a3697b39e2c909688806e84 | [
"Apache-2.0"
] | null | null | null | test/indexset.jl | orialb/ITensors.jl | 6a3992ab636944503a3697b39e2c909688806e84 | [
"Apache-2.0"
] | null | null | null | using ITensors
using Test
using Compat
@testset "IndexSet" begin
idim = 2
jdim = 3
kdim = 4
ldim = 5
i = Index(idim,"i")
j = Index(jdim,"j")
k = Index(kdim,"k")
l = Index(ldim,"l")
@testset "show" begin
indset = IndexSet(i,j,k)
@test length(sprint(show, indset)) > 1
end
@testset "Basic co... | 28.565891 | 75 | 0.557666 | [
"@testset \"IndexSet\" begin\n idim = 2\n jdim = 3\n kdim = 4\n ldim = 5\n i = Index(idim,\"i\")\n j = Index(jdim,\"j\")\n k = Index(kdim,\"k\")\n l = Index(ldim,\"l\")\n @testset \"show\" begin\n indset = IndexSet(i,j,k)\n @test length(sprint(show, indset)) > 1\n end\n @testset \"Basic constructor... |
73696614cb213678cc4296fc53ff0ac4c8d441c9 | 11,350 | jl | Julia | test/nodes/flow/coupling_flows/test_radial_flow.jl | HoangMHNguyen/ReactiveMP.jl | f3e848ab171e0786e3d8eb6a0843dbf6dacc7415 | [
"MIT"
] | 46 | 2021-03-28T13:18:20.000Z | 2022-03-30T15:52:52.000Z | test/nodes/flow/coupling_flows/test_radial_flow.jl | HoangMHNguyen/ReactiveMP.jl | f3e848ab171e0786e3d8eb6a0843dbf6dacc7415 | [
"MIT"
] | 58 | 2021-03-17T16:07:47.000Z | 2022-03-22T08:50:44.000Z | test/nodes/flow/coupling_flows/test_radial_flow.jl | HoangMHNguyen/ReactiveMP.jl | f3e848ab171e0786e3d8eb6a0843dbf6dacc7415 | [
"MIT"
] | 5 | 2021-07-12T18:48:05.000Z | 2021-11-09T17:19:20.000Z | module FlowNodeCouplingFlowsRadialFlowTest
using Test
using ReactiveMP
using ReactiveMP: getdim, getz0, getα, getβ, getall, setz0!, setα!, setβ!
using ReactiveMP: forward, forward!, jacobian, jacobian!, inv_jacobian, inv_jacobian!
using ReactiveMP: det_jacobian, absdet_jacobian, logdet_jacobian, logdet_jacobian, logab... | 36.731392 | 226 | 0.550837 | [
"@testset \"Radial Flow\" begin\n\n @testset \"Constructor\" begin\n \n # check for unspecified input\n f = RadialFlow()\n @test typeof(f) == ReactiveMP.RadialFlowPlaceholder\n\n # check when creating placeholder\n f = ReactiveMP.RadialFlowPlaceholder()\n @test ty... |
736a11c17a0d1946885343ae83428c0b54ad16d8 | 1,030 | jl | Julia | test/test_complex_fields.jl | HaraldHofstaetter/SymbolicIntegration.jl | bd1c73914d32651f136a9cfdb5ecaf20e7b1c692 | [
"MIT"
] | 28 | 2022-02-01T10:11:28.000Z | 2022-02-28T10:25:06.000Z | test/test_complex_fields.jl | HaraldHofstaetter/SymbolicIntegration.jl | bd1c73914d32651f136a9cfdb5ecaf20e7b1c692 | [
"MIT"
] | 1 | 2022-02-01T15:49:17.000Z | 2022-02-01T16:45:09.000Z | test/test_complex_fields.jl | HaraldHofstaetter/SymbolicIntegration.jl | bd1c73914d32651f136a9cfdb5ecaf20e7b1c692 | [
"MIT"
] | null | null | null | using AbstractAlgebra
using Nemo
using SymbolicIntegration
SI = SymbolicIntegration
using Test
@testset "Complex fields" begin
QQx, x = PolynomialRing(Nemo.QQ, :x)
k = FractionField(QQx)
D0 = BasicDerivation(k)
kI, I, D = SI.Complexify(k, D0)
kI1, x1, I1, D1 = SI.switch_t_i(kI, D)
f = (x^2... | 21.914894 | 63 | 0.575728 | [
"@testset \"Complex fields\" begin \n QQx, x = PolynomialRing(Nemo.QQ, :x)\n k = FractionField(QQx)\n D0 = BasicDerivation(k)\n kI, I, D = SI.Complexify(k, D0)\n kI1, x1, I1, D1 = SI.switch_t_i(kI, D)\n\n f = (x^2+3x-1)//(x-7)*I + x^2//(1+x^3)\n f1 = SI.transform(f, x1, I1)\n f2 = SI.backt... |
736b5fec003d8fc6a49dc8ff3d7ca84e4646022a | 3,463 | jl | Julia | test/runtests.jl | petrposik/AoC2021 | 5f864b2dc7b84c7bd4867701d2cf71b81b4dc749 | [
"MIT"
] | null | null | null | test/runtests.jl | petrposik/AoC2021 | 5f864b2dc7b84c7bd4867701d2cf71b81b4dc749 | [
"MIT"
] | null | null | null | test/runtests.jl | petrposik/AoC2021 | 5f864b2dc7b84c7bd4867701d2cf71b81b4dc749 | [
"MIT"
] | null | null | null | using Test
using AoC2021
@testset "AoC2021" begin
@testset "Day 1" begin
@test AoC2021.sequence_diff([1, 2, 3, 4]) == [1, 1, 1]
@test AoC2021.sequence_diff([1, 2, 3, 4], 2) == [2, 2]
@test AoC2021.day01("../data/test_input01.txt") == (7, 5)
@test AoC2021.day01("../data/input01.txt"... | 44.397436 | 105 | 0.558764 | [
"@testset \"AoC2021\" begin\n\n @testset \"Day 1\" begin\n @test AoC2021.sequence_diff([1, 2, 3, 4]) == [1, 1, 1]\n @test AoC2021.sequence_diff([1, 2, 3, 4], 2) == [2, 2]\n @test AoC2021.day01(\"../data/test_input01.txt\") == (7, 5)\n @test AoC2021.day01(\"../data/input01.txt\") == (1... |
736d1459293c98ae34a3def7fb788a5e27729394 | 134,226 | jl | Julia | stdlib/LibGit2/test/libgit2.jl | dmageeLANL/julia | 684528cadc4bdc2d4b95d17265017b383d196cde | [
"Zlib"
] | 1 | 2021-01-03T17:18:06.000Z | 2021-01-03T17:18:06.000Z | stdlib/LibGit2/test/libgit2.jl | dmageeLANL/julia | 684528cadc4bdc2d4b95d17265017b383d196cde | [
"Zlib"
] | null | null | null | stdlib/LibGit2/test/libgit2.jl | dmageeLANL/julia | 684528cadc4bdc2d4b95d17265017b383d196cde | [
"Zlib"
] | null | null | null | # This file is a part of Julia. License is MIT: https://julialang.org/license
module LibGit2Tests
import LibGit2
using Test
using Random, Serialization, Sockets
const BASE_TEST_PATH = joinpath(Sys.BINDIR, "..", "share", "julia", "test")
isdefined(Main, :FakePTYs) || @eval Main include(joinpath($(BASE_TEST_PATH), "te... | 42.169651 | 160 | 0.544559 | [
"@testset \"Check library version\" begin\n v = LibGit2.version()\n @test v.major == LIBGIT2_MIN_VER.major && v.minor >= LIBGIT2_MIN_VER.minor\nend",
"@testset \"Check library features\" begin\n f = LibGit2.features()\n @test findfirst(isequal(LibGit2.Consts.FEATURE_SSH), f) !== nothing\n @test fin... |
736e68dee1ef0e548acacfaf23bc784a7e02301a | 32,373 | jl | Julia | test/errorshow.jl | rssdev10/julia | 4f67551767a9a2339ef53ba2a9590bb3fd64eb89 | [
"Zlib"
] | 1 | 2021-12-09T10:26:30.000Z | 2021-12-09T10:26:30.000Z | test/errorshow.jl | rssdev10/julia | 4f67551767a9a2339ef53ba2a9590bb3fd64eb89 | [
"Zlib"
] | 3 | 2016-04-15T13:46:09.000Z | 2019-08-31T15:41:12.000Z | test/errorshow.jl | rssdev10/julia | 4f67551767a9a2339ef53ba2a9590bb3fd64eb89 | [
"Zlib"
] | 1 | 2021-03-11T15:42:12.000Z | 2021-03-11T15:42:12.000Z | # This file is a part of Julia. License is MIT: https://julialang.org/license
using Random, LinearAlgebra
# For curmod_*
include("testenv.jl")
@testset "SystemError" begin
err = try; systemerror("reason", Cint(0)); false; catch ex; ex; end::SystemError
errs = sprint(Base.showerror, err)
@test startswith... | 40.823455 | 257 | 0.66713 | [
"@testset \"SystemError\" begin\n err = try; systemerror(\"reason\", Cint(0)); false; catch ex; ex; end::SystemError\n errs = sprint(Base.showerror, err)\n @test startswith(errs, \"SystemError: reason: \")\n\n err = try; systemerror(\"reason\", Cint(0), extrainfo=\"addend\"); false; catch ex; ex; end::S... |
736fa4f1dfd4de49fed5fa7f0b4917392bc32412 | 706 | jl | Julia | test/runtests.jl | stevengj/JpegTurbo.jl | f731e5e0f54c9bac6d67a1e6769069477b4ee028 | [
"MIT"
] | 12 | 2021-07-15T02:55:57.000Z | 2022-03-09T04:53:09.000Z | test/runtests.jl | stevengj/JpegTurbo.jl | f731e5e0f54c9bac6d67a1e6769069477b4ee028 | [
"MIT"
] | 1 | 2022-01-29T23:03:50.000Z | 2022-01-29T23:03:50.000Z | test/runtests.jl | stevengj/JpegTurbo.jl | f731e5e0f54c9bac6d67a1e6769069477b4ee028 | [
"MIT"
] | 1 | 2022-01-26T06:40:24.000Z | 2022-01-26T06:40:24.000Z | using JpegTurbo
using Test, TestImages
import JpegTurbo: LibJpeg
@testset "decompress" begin
filename = testimage("earth_apollo17", download_only=true)
cinfo = LibJpeg.jpeg_decompress_struct()
jerr = Ref{LibJpeg.jpeg_error_mgr}()
cinfo.err = LibJpeg.jpeg_std_error(jerr)
LibJpeg.jpeg_create_decomp... | 29.416667 | 73 | 0.736544 | [
"@testset \"decompress\" begin\n filename = testimage(\"earth_apollo17\", download_only=true)\n\n cinfo = LibJpeg.jpeg_decompress_struct()\n jerr = Ref{LibJpeg.jpeg_error_mgr}()\n cinfo.err = LibJpeg.jpeg_std_error(jerr)\n LibJpeg.jpeg_create_decompress(cinfo)\n infile = ccall(:fopen, Libc.FILE, (... |
7372a744c37cf62d7901c67633a23260eb45139a | 230 | jl | Julia | test/runtests.jl | JuliaHealth/SMARTBackendServices.jl | 465e6adee8cebcd62e68e97375664a399c0a3fe2 | [
"MIT"
] | null | null | null | test/runtests.jl | JuliaHealth/SMARTBackendServices.jl | 465e6adee8cebcd62e68e97375664a399c0a3fe2 | [
"MIT"
] | 15 | 2021-02-20T18:09:48.000Z | 2021-05-23T10:31:52.000Z | test/runtests.jl | JuliaHealth/SMARTBackendServices.jl | 465e6adee8cebcd62e68e97375664a399c0a3fe2 | [
"MIT"
] | null | null | null | using SMARTBackendServices
using Test
import JSONWebTokens
include("test_private_key/create.jl")
@testset "SMARTBackendServices.jl" begin
include("basic.jl")
include("jwt.jl")
end
include("test_private_key/delete.jl")
| 16.428571 | 40 | 0.773913 | [
"@testset \"SMARTBackendServices.jl\" begin\n include(\"basic.jl\")\n include(\"jwt.jl\")\nend"
] |
73771be64cbe8357c90ce7fd2a4fa644bfcbd2e1 | 26,368 | jl | Julia | test/test_iofac.jl | baggepinnen/DescriptorSystems.jl | 9ab27008132273de04d78e7faafd96c5486b66d6 | [
"MIT"
] | 11 | 2020-10-06T23:28:52.000Z | 2022-03-22T02:26:16.000Z | test/test_iofac.jl | baggepinnen/DescriptorSystems.jl | 9ab27008132273de04d78e7faafd96c5486b66d6 | [
"MIT"
] | 10 | 2021-01-21T13:10:52.000Z | 2022-03-20T15:48:54.000Z | test/test_iofac.jl | baggepinnen/DescriptorSystems.jl | 9ab27008132273de04d78e7faafd96c5486b66d6 | [
"MIT"
] | 3 | 2021-03-26T04:53:34.000Z | 2022-03-09T13:15:48.000Z | module Test_iofac
using DescriptorSystems
using LinearAlgebra
using Polynomials
using Test
println("Test_iofac")
@testset "grsfg and grsfg" begin
sys = rss(0,2,3);
g = glinfnorm(sys)[1]*1.001
@time sysf = grsfg(sys,g)
@test iszero(sysf'*sysf+sys'*sys-g*g*I,atol=1.e-7)
@time sysf = glsfg(sys,g)
@test iszero(sysf*sy... | 45.150685 | 111 | 0.560793 | [
"@testset \"grsfg and grsfg\" begin\n\nsys = rss(0,2,3); \ng = glinfnorm(sys)[1]*1.001\n@time sysf = grsfg(sys,g)\n@test iszero(sysf'*sysf+sys'*sys-g*g*I,atol=1.e-7)\n\n@time sysf = glsfg(sys,g)\n@test iszero(sysf*sysf'+sys*sys'-g*g*I,atol=1.e-7)\n\n\n# Error: Norm(sys) < g\n@test_throws ErrorException sysf = grsfg... |
73782e7453ea9d5b06ae1158f2462a5115d7a4f7 | 109 | jl | Julia | test/runtests.jl | daryoush/JuliaKitchenSink.jl | 1f2052ff57a7627e21592ae21ca655b417825aff | [
"MIT"
] | null | null | null | test/runtests.jl | daryoush/JuliaKitchenSink.jl | 1f2052ff57a7627e21592ae21ca655b417825aff | [
"MIT"
] | null | null | null | test/runtests.jl | daryoush/JuliaKitchenSink.jl | 1f2052ff57a7627e21592ae21ca655b417825aff | [
"MIT"
] | null | null | null | using JuliaKitchenSink
using Test
@testset "JuliaKitchenSink.jl" begin
# Write your own tests here.
end
| 15.571429 | 36 | 0.770642 | [
"@testset \"JuliaKitchenSink.jl\" begin\n # Write your own tests here.\nend"
] |
7378c4a10bee0e870da872852d51bde1e9de1ab0 | 10,473 | jl | Julia | test/moments.jl | tpgillam/StatsBase.jl | 4f02efa1ea5d3c14efa3bd0a554f8cb7b0903d65 | [
"MIT"
] | null | null | null | test/moments.jl | tpgillam/StatsBase.jl | 4f02efa1ea5d3c14efa3bd0a554f8cb7b0903d65 | [
"MIT"
] | null | null | null | test/moments.jl | tpgillam/StatsBase.jl | 4f02efa1ea5d3c14efa3bd0a554f8cb7b0903d65 | [
"MIT"
] | null | null | null | using StatsBase
using Test
@testset "StatsBase.Moments" begin
weight_funcs = (weights, aweights, fweights, pweights)
##### weighted var & std
x = [0.57, 0.10, 0.91, 0.72, 0.46, 0.0]
w = [3.84, 2.70, 8.29, 8.91, 9.71, 0.0]
@testset "Uncorrected with $f" for f in weight_funcs
wv = f(w)
m = mean(x, wv)
# ... | 35.622449 | 98 | 0.547981 | [
"@testset \"StatsBase.Moments\" begin\nweight_funcs = (weights, aweights, fweights, pweights)\n\n##### weighted var & std\n\nx = [0.57, 0.10, 0.91, 0.72, 0.46, 0.0]\nw = [3.84, 2.70, 8.29, 8.91, 9.71, 0.0]\n\n@testset \"Uncorrected with $f\" for f in weight_funcs\n wv = f(w)\n m = mean(x, wv)\n\n # expecte... |
7379bb2f5f9c44a7bf469a5ba18a1bcffd835344 | 1,625 | jl | Julia | test/runtests.jl | tkf/ChainRules.jl | c8d01a32e52624af25fc31f91add3092b5d47301 | [
"MIT"
] | null | null | null | test/runtests.jl | tkf/ChainRules.jl | c8d01a32e52624af25fc31f91add3092b5d47301 | [
"MIT"
] | null | null | null | test/runtests.jl | tkf/ChainRules.jl | c8d01a32e52624af25fc31f91add3092b5d47301 | [
"MIT"
] | null | null | null | using Base.Broadcast: broadcastable
using ChainRules
using ChainRulesCore
using FiniteDifferences
using LinearAlgebra
using LinearAlgebra.BLAS
using LinearAlgebra: dot
using Random
using Statistics
using Test
# For testing purposes we use a lot of
using ChainRulesCore: cast, extern, accumulate, accumulate!, store!, @s... | 30.660377 | 82 | 0.646154 | [
"@testset \"ChainRules\" begin\n include(\"helper_functions.jl\")\n @testset \"rulesets\" begin\n @testset \"Base\" begin\n include(joinpath(\"rulesets\", \"Base\", \"base.jl\"))\n include(joinpath(\"rulesets\", \"Base\", \"array.jl\"))\n include(joinpath(\"rulesets\", ... |
737a07f3e164bc395e6e6e039de03249b5772ba1 | 4,245 | jl | Julia | test/runtests.jl | rafael-guerra-www/LinearFitXYerrors.jl | 5109cda43472fb08f61b12ac792ca991a233c6a3 | [
"MIT"
] | 7 | 2021-09-12T18:13:36.000Z | 2021-09-18T10:11:37.000Z | test/runtests.jl | rafael-guerra-www/LinearFitXYerrors.jl | 5109cda43472fb08f61b12ac792ca991a233c6a3 | [
"MIT"
] | 2 | 2021-09-12T11:21:00.000Z | 2021-10-11T19:43:40.000Z | test/runtests.jl | rafael-guerra-www/LinearFitXYerrors.jl | 5109cda43472fb08f61b12ac792ca991a233c6a3 | [
"MIT"
] | null | null | null | using LinearFitXYerrors
using Test
@testset "LinearFitXYerrors.jl" begin
# 0a - TEST DATA WITH NO ERRORS
# INPUT DATA: http://pba.ucdavis.edu/files/45007.pdf
X = [16.4, 17.2, 17.6, 18.0, 18.2, 18.5]
Y = [2.67, 2.75, 2.99, 3.14, 3.88, 4.23]
stxy = linearfitxy(X,Y)
@test stxy.a ≈ -9.46... | 34.795082 | 75 | 0.521319 | [
"@testset \"LinearFitXYerrors.jl\" begin\n\n\n # 0a - TEST DATA WITH NO ERRORS\n # INPUT DATA: http://pba.ucdavis.edu/files/45007.pdf\n\n X = [16.4, 17.2, 17.6, 18.0, 18.2, 18.5]\n Y = [2.67, 2.75, 2.99, 3.14, 3.88, 4.23]\n\n stxy = linearfitxy(X,Y)\n\n @test stxy.a ≈ -9.4628187535736\n @... |
737ba009003380e725ff6f138851fbe868d658aa | 1,684 | jl | Julia | test/quantizer_tests.jl | asinghvi17/MusicManipulations.jl | da5567091d96c67ef9d89d96d6ea8316fe998cab | [
"MIT"
] | null | null | null | test/quantizer_tests.jl | asinghvi17/MusicManipulations.jl | da5567091d96c67ef9d89d96d6ea8316fe998cab | [
"MIT"
] | null | null | null | test/quantizer_tests.jl | asinghvi17/MusicManipulations.jl | da5567091d96c67ef9d89d96d6ea8316fe998cab | [
"MIT"
] | null | null | null | using Test
let
cd(@__DIR__)
midi = readMIDIFile("serenade_full.mid")
piano = midi.tracks[4]
notes = getnotes(piano, midi.tpq)
tpq = 960
triplets = [0, 1//3, 2//3, 1]
sixteenths = [0, 1//4, 2//4, 3//4, 1]
@testset "Classify triplets" begin
@test isgrid(triplets)
class = classify(notes, triplets)
inbetw ... | 20.047619 | 64 | 0.611639 | [
"@testset \"Classify triplets\" begin\n\n @test isgrid(triplets)\n\n class = classify(notes, triplets)\n inbetw = [246\n 450\n 618\n 619\n 620\n 627\n 628\n 629\n 637\n 638\n 639\n 640]\n\n @test length(class) == length(notes)\n @test findall(class .== 2) == inbetw\n\... |
737c611f51af85623d1d8cd00fc9e96223b9411e | 7,457 | jl | Julia | test/Bridges/Variable/rsoc_to_psd.jl | kibaekkim/MathOptInterface.jl | 30087ba637886a47fe7387e58745fa05c7a7ec0a | [
"MIT"
] | null | null | null | test/Bridges/Variable/rsoc_to_psd.jl | kibaekkim/MathOptInterface.jl | 30087ba637886a47fe7387e58745fa05c7a7ec0a | [
"MIT"
] | null | null | null | test/Bridges/Variable/rsoc_to_psd.jl | kibaekkim/MathOptInterface.jl | 30087ba637886a47fe7387e58745fa05c7a7ec0a | [
"MIT"
] | null | null | null | using Test
using MathOptInterface
const MOI = MathOptInterface
const MOIT = MathOptInterface.Test
const MOIU = MathOptInterface.Utilities
const MOIB = MathOptInterface.Bridges
include("../utilities.jl")
mock = MOIU.MockOptimizer(MOIU.Model{Float64}())
config = MOIT.TestConfig()
bridged_mock = MOIB.Variable.RSOCtoPS... | 42.129944 | 111 | 0.624246 | [
"@testset \"RSOC of dimension 2\" begin\n MOI.empty!(bridged_mock)\n xy, cxy = MOI.add_constrained_variables(bridged_mock, MOI.RotatedSecondOrderCone(2))\n x, y = xy\n fx = MOI.SingleVariable(x)\n fy = MOI.SingleVariable(y)\n c = MOI.add_constraint(bridged_mock, 1.0fx + 1.0fy, MOI.LessThan(1.0))\n... |
737d0b5ad382041ac51834ce8fcd72bcf602507e | 18,945 | jl | Julia | test/test_unit.jl | jbreue16/Trixi.jl | f6de21b834ceb9b9a5295cbf6b221ab297c279f0 | [
"MIT"
] | null | null | null | test/test_unit.jl | jbreue16/Trixi.jl | f6de21b834ceb9b9a5295cbf6b221ab297c279f0 | [
"MIT"
] | null | null | null | test/test_unit.jl | jbreue16/Trixi.jl | f6de21b834ceb9b9a5295cbf6b221ab297c279f0 | [
"MIT"
] | null | null | null | module TestUnit
using Test
using Cassette
using Documenter
using Trixi
# Start with a clean environment: remove Trixi output directory if it exists
outdir = "out"
isdir(outdir) && rm(outdir, recursive=true)
# Create a Cassette context that will be used for mocking Trixi.mpi_nranks
Cassette.@context Ctx
# Run variou... | 36.223709 | 105 | 0.615096 | [
"@testset \"Unit tests\" begin\n @testset \"SerialTree\" begin\n @testset \"constructors\" begin\n @test_nowarn Trixi.SerialTree(Val(1), 10, 0.0, 1.0)\n end\n\n @testset \"helper functions\" begin\n t = Trixi.SerialTree(Val(1), 10, 0.0, 1.0)\n @test_nowarn display(t)\n @test Trixi.ndim... |
737d73307ca0e9d19902ea50cc59e79d1b65d4b4 | 2,887 | jl | Julia | test/runtests.jl | DRobbes/multiobjectiveGraphs | e37a4a10445bf3db7154050dcdc887de9db52ce7 | [
"BSD-2-Clause"
] | null | null | null | test/runtests.jl | DRobbes/multiobjectiveGraphs | e37a4a10445bf3db7154050dcdc887de9db52ce7 | [
"BSD-2-Clause"
] | null | null | null | test/runtests.jl | DRobbes/multiobjectiveGraphs | e37a4a10445bf3db7154050dcdc887de9db52ce7 | [
"BSD-2-Clause"
] | null | null | null | println("=========== testing multiobjectiveGraphs package =============")
#=
import multiobjectiveGraphs
using multiobjectiveGraphs
=#
greet() ### encore une fois ###
#=
import Pkg
Pkg.add("Test")
import Test
=#
using Test
#=
@testset "priority lists" begin
PL = priorityList{UInt8}()
add!(PL,UInt8(5)) ; pretty... | 32.077778 | 220 | 0.62106 | [
"@testset \"objectives\" begin\n\tanObj = weightMinSum{Int32}()\t\n\t@test typeof(objTypes(anObj)[1]) == typeof(\t\tweightMinSum{Int32}() \t\t) \t# --> 1\n \t@test typeof(objTypes(anObj)[2]) == typeof(\t\tweightMinProduct{Int32}() \t) \t# --> 2\n \t@test typeof(objTypes(anObj)[3]) == typeof(\t\tweightMinMax{Int3... |
737dce70d366e9bca29ddf85fbbd840cebf2cc07 | 54,377 | jl | Julia | test/indexing.jl | vonDonnerstein/DataFrames.jl | e5d799a59bd15051593340bf60f088ee4e8096dc | [
"MIT"
] | null | null | null | test/indexing.jl | vonDonnerstein/DataFrames.jl | e5d799a59bd15051593340bf60f088ee4e8096dc | [
"MIT"
] | null | null | null | test/indexing.jl | vonDonnerstein/DataFrames.jl | e5d799a59bd15051593340bf60f088ee4e8096dc | [
"MIT"
] | null | null | null | module TestIndexing
using Test, DataFrames
@testset "getindex DataFrame" begin
df = DataFrame(a=1:3, b=4:6, c=7:9)
@test df[!, 1] == [1, 2, 3]
@test df[!, 1] === eachcol(df)[1]
@test df[!, :a] == [1, 2, 3]
@test df[!, :a] === eachcol(df)[1]
@test df.a == [1, 2, 3]
@test df.a === eachcol(d... | 38.293662 | 133 | 0.52388 | [
"@testset \"getindex DataFrame\" begin\n df = DataFrame(a=1:3, b=4:6, c=7:9)\n\n @test df[!, 1] == [1, 2, 3]\n @test df[!, 1] === eachcol(df)[1]\n @test df[!, :a] == [1, 2, 3]\n @test df[!, :a] === eachcol(df)[1]\n @test df.a == [1, 2, 3]\n @test df.a === eachcol(df)[1]\n\n for selector in [... |
738824016bc0a0415061556ac44cb95511dff20e | 600 | jl | Julia | test/proposal.jl | jonasmac16/AdvancedHMC.jl | 64a72da3f05cb7be112883c83c1e9335f9b55887 | [
"MIT"
] | null | null | null | test/proposal.jl | jonasmac16/AdvancedHMC.jl | 64a72da3f05cb7be112883c83c1e9335f9b55887 | [
"MIT"
] | null | null | null | test/proposal.jl | jonasmac16/AdvancedHMC.jl | 64a72da3f05cb7be112883c83c1e9335f9b55887 | [
"MIT"
] | null | null | null | using Test, AdvancedHMC
using Random
include("common.jl")
ϵ = 0.01
lf = Leapfrog(ϵ)
θ_init = randn(D)
h = Hamiltonian(UnitEuclideanMetric(D), logπ, ∂logπ∂θ)
prop = NUTS(Leapfrog(find_good_eps(h, θ_init)))
r_init = AdvancedHMC.rand_momentum(h)
@testset "Passing random number generator" begin
for seed in [1234, 56... | 24 | 69 | 0.66 | [
"@testset \"Passing random number generator\" begin\n for seed in [1234, 5678, 90]\n rng = MersenneTwister(seed)\n θ1, r1 = AdvancedHMC.transition(rng, prop, h, θ_init, r_init)\n\n rng = MersenneTwister(seed)\n θ2, r2 = AdvancedHMC.transition(rng, prop, h, θ_init, r_init)\n\n @... |
738bed6fd63dac51ce4a38c39018b794ec15f0a0 | 3,917 | jl | Julia | test/runtests.jl | mattuntergassmair/IncrementalPruning.jl | c337a57818c3b6894c57056ab5b77c5a4c0a5293 | [
"MIT"
] | null | null | null | test/runtests.jl | mattuntergassmair/IncrementalPruning.jl | c337a57818c3b6894c57056ab5b77c5a4c0a5293 | [
"MIT"
] | null | null | null | test/runtests.jl | mattuntergassmair/IncrementalPruning.jl | c337a57818c3b6894c57056ab5b77c5a4c0a5293 | [
"MIT"
] | null | null | null | using Test
using POMDPs, POMDPModels
using POMDPPolicies, POMDPModelTools, POMDPTesting, BeliefUpdaters
using IncrementalPruning
const IP = IncrementalPruning
@testset "Incremental Pruning Solver" begin
@testset "Incremental Pruning Functions" begin
# # dominate
# return beleif state point where α ... | 37.663462 | 107 | 0.523615 | [
"@testset \"Incremental Pruning Solver\" begin\n @testset \"Incremental Pruning Functions\" begin\n # # dominate\n # return beleif state point where α dominates all other vectors in A\n α = [0.6, 0.6]\n A = Set([[1.0, -1.0], [0.0, 1.0]])\n x = IP.dominate(α, A)\n @test x... |
738d4a8c1a49df2696d5c2059c2828032e48116a | 295 | jl | Julia | test/runtests.jl | jessierenton/SomaticEvolution.jl | a52cad8a45190ec6dba6e97cdaa3ff64617887f2 | [
"MIT"
] | null | null | null | test/runtests.jl | jessierenton/SomaticEvolution.jl | a52cad8a45190ec6dba6e97cdaa3ff64617887f2 | [
"MIT"
] | 3 | 2022-02-25T11:03:04.000Z | 2022-03-26T00:58:37.000Z | test/runtests.jl | jessierenton/SomaticEvolution.jl | a52cad8a45190ec6dba6e97cdaa3ff64617887f2 | [
"MIT"
] | null | null | null | using SomaticEvolution
using Test
using Random
using StatsBase
tests = ["initialisation","multilevel","simulations","testio","process_mutations"]
@testset "SomaticEvolution.jl" begin
for test in tests
@testset "$test" begin
include(test*".jl")
end
end
end
| 18.4375 | 82 | 0.677966 | [
"@testset \"SomaticEvolution.jl\" begin\n for test in tests\n @testset \"$test\" begin\n include(test*\".jl\")\n end\n end\nend"
] |
738f11b9004ddd5f2324e03b8ce21162042c849a | 97 | jl | Julia | test/runtests.jl | mtfishman/ITensorPySCF.jl | 75c9a719a9c469dbd114b2c4065743110183410b | [
"MIT"
] | 2 | 2021-11-22T21:12:22.000Z | 2022-01-27T07:52:02.000Z | test/runtests.jl | mtfishman/ITensorPySCF.jl | 75c9a719a9c469dbd114b2c4065743110183410b | [
"MIT"
] | null | null | null | test/runtests.jl | mtfishman/ITensorPySCF.jl | 75c9a719a9c469dbd114b2c4065743110183410b | [
"MIT"
] | 1 | 2022-01-27T00:16:22.000Z | 2022-01-27T00:16:22.000Z | using ITensorPySCF
using Test
@testset "ITensorPySCF.jl" begin
# Write your tests here.
end
| 13.857143 | 32 | 0.752577 | [
"@testset \"ITensorPySCF.jl\" begin\n # Write your tests here.\nend"
] |
7390ec1424771567ab50484ad9dede3b74acbbb8 | 11,915 | jl | Julia | test/geometrytypes.jl | LilithHafner/GeometryBasics.jl | 1b34ffafff7729b7d8a18598bb89e1402598fd17 | [
"MIT"
] | null | null | null | test/geometrytypes.jl | LilithHafner/GeometryBasics.jl | 1b34ffafff7729b7d8a18598bb89e1402598fd17 | [
"MIT"
] | null | null | null | test/geometrytypes.jl | LilithHafner/GeometryBasics.jl | 1b34ffafff7729b7d8a18598bb89e1402598fd17 | [
"MIT"
] | null | null | null | using Test, GeometryBasics
@testset "Cylinder" begin
@testset "constructors" begin
o, extr, r = Point2f(1, 2), Point2f(3, 4), 5.0f0
s = Cylinder(o, extr, r)
@test typeof(s) == Cylinder{2,Float32}
@test typeof(s) == Cylinder2{Float32}
@test origin(s) == o
@test extrem... | 40.665529 | 92 | 0.495594 | [
"@testset \"Cylinder\" begin\n @testset \"constructors\" begin\n o, extr, r = Point2f(1, 2), Point2f(3, 4), 5.0f0\n s = Cylinder(o, extr, r)\n @test typeof(s) == Cylinder{2,Float32}\n @test typeof(s) == Cylinder2{Float32}\n @test origin(s) == o\n @test extremity(s) == ex... |
73916c0fbeafd1ec0ba0def3c246e2c853a6dd49 | 1,127 | jl | Julia | test/runtests.jl | mthelm85/PAM.jl | ea92348d5ee55e57d7d1a357aa9e2a319fa07d5f | [
"MIT"
] | 1 | 2021-09-06T06:12:07.000Z | 2021-09-06T06:12:07.000Z | test/runtests.jl | mthelm85/PAM.jl | ea92348d5ee55e57d7d1a357aa9e2a319fa07d5f | [
"MIT"
] | null | null | null | test/runtests.jl | mthelm85/PAM.jl | ea92348d5ee55e57d7d1a357aa9e2a319fa07d5f | [
"MIT"
] | null | null | null | using PAM
using Test
@testset "PAM.jl" begin
X = [3.2 0.8 0.5 1.2 3.9 10.1 14.0 13.0 14.7 14.2;
1.1 3.3 0.4 3.9 3.9 10.6 14.4 13.7 12.6 10.8]
D = [0.0 3.25576 2.78927 3.44093 2.88617 11.7414 17.1327 15.9625 16.2635 14.6659;
3.25576 0.0 2.91548 0.72111 3.15753 11.8229 17.2467 16.0312 16.7242 15... | 51.227273 | 85 | 0.620231 | [
"@testset \"PAM.jl\" begin\n X = [3.2 0.8 0.5 1.2 3.9 10.1 14.0 13.0 14.7 14.2;\n 1.1 3.3 0.4 3.9 3.9 10.6 14.4 13.7 12.6 10.8]\n D = [0.0 3.25576 2.78927 3.44093 2.88617 11.7414 17.1327 15.9625 16.2635 14.6659;\n 3.25576 0.0 2.91548 0.72111 3.15753 11.8229 17.2467 16.0312 16.7242 15.3561;\n ... |
73977c014c5967198bd77160822b43ad65bd46ec | 2,097 | jl | Julia | test/volume.jl | millerjoey/MarketTechnicals.jl | 9e09b8fc7b1f324725f83a3edff8117cffc455f1 | [
"MIT"
] | 101 | 2015-02-03T22:03:21.000Z | 2022-03-27T03:57:13.000Z | test/volume.jl | millerjoey/MarketTechnicals.jl | 9e09b8fc7b1f324725f83a3edff8117cffc455f1 | [
"MIT"
] | 85 | 2015-02-21T02:31:59.000Z | 2022-01-28T21:29:40.000Z | test/volume.jl | millerjoey/MarketTechnicals.jl | 9e09b8fc7b1f324725f83a3edff8117cffc455f1 | [
"MIT"
] | 31 | 2015-04-25T19:06:37.000Z | 2022-03-20T01:19:01.000Z | using Test
using MarketData
using TimeSeries
using MarketTechnicals
@testset "Volume" begin
@testset "obv" begin
@test values(obv(ohlcv))[1] == 4783900 # TTR value is 4783900
@test values(obv(ohlcv))[12] == 9390200 # TTR value is 2000-01-19 9390200
@test timestamp(obv(ohlcv))[12] == Date(2000... | 35.542373 | 82 | 0.60372 | [
"@testset \"Volume\" begin\n\n\n@testset \"obv\" begin\n @test values(obv(ohlcv))[1] == 4783900 # TTR value is 4783900\n @test values(obv(ohlcv))[12] == 9390200 # TTR value is 2000-01-19 9390200\n @test timestamp(obv(ohlcv))[12] == Date(2000,1,19)\nend\n\n\n@testset \"vwap\" begin\n # TTR value... |
73981d2a769e50b0a3ec82751f1b612ea823a2b1 | 1,754 | jl | Julia | test/runtests.jl | niclaspopp/MultivariateDiscretization.jl | a3f9a058319f82d8904623d86d36ac884af72b9b | [
"MIT"
] | 3 | 2020-10-24T14:44:38.000Z | 2021-05-13T09:51:11.000Z | test/runtests.jl | niclaspopp/MultivariateDiscretization.jl | a3f9a058319f82d8904623d86d36ac884af72b9b | [
"MIT"
] | 4 | 2020-10-21T11:27:33.000Z | 2020-11-16T00:33:53.000Z | test/runtests.jl | niclaspopp/MultivariateDiscretization.jl | a3f9a058319f82d8904623d86d36ac884af72b9b | [
"MIT"
] | null | null | null | using MultivariateDiscretization
using Test
using DataFrames
using Distributions
using StatsBase
using Statistics
using LinearAlgebra
using MultivariateStats
# number of dimensions
dims=10
# number of points
points=100
# generate test dataset
A = rand(Float64, (dims,dims))
Σ = A*A'
μ = rand(dims)
#d1 = MvNormal(μ, ... | 31.890909 | 91 | 0.748575 | [
"@testset \"MultivariateDiscretization.jl\" begin\n\n bb = MultivariateDiscretization.BayesianBlocks(Testdata,dims)\n dr = MultivariateDiscretization.DoaneRule(Testdata,dims)\n cpd = MultivariateDiscretization.CPD_clustered(Testdata,dims,points,3,float(3))\n ipd = MultivariateDiscretization.greedy_IPD_c... |
739dcfdbe3b710e05b0c07803a977091dc381dd4 | 101 | jl | Julia | test/runtests.jl | logankilpatrick/tutorials | d1f97b7e81ded47d541833f008b9fcb8872d310e | [
"Apache-2.0"
] | 9 | 2019-12-11T00:16:06.000Z | 2021-12-16T04:30:36.000Z | test/runtests.jl | logankilpatrick/tutorials | d1f97b7e81ded47d541833f008b9fcb8872d310e | [
"Apache-2.0"
] | 16 | 2019-12-07T04:15:49.000Z | 2021-10-01T19:54:20.000Z | test/runtests.jl | logankilpatrick/tutorials | d1f97b7e81ded47d541833f008b9fcb8872d310e | [
"Apache-2.0"
] | 8 | 2019-12-11T19:20:14.000Z | 2020-12-26T09:52:56.000Z | using YaoTutorials
using Test
@testset "YaoTutorials.jl" begin
# Write your own tests here.
end
| 14.428571 | 32 | 0.752475 | [
"@testset \"YaoTutorials.jl\" begin\n # Write your own tests here.\nend"
] |
73a1c300928159b138e6f077e2b6657a04af59f8 | 605 | jl | Julia | test/queries/pr_constraint_tests.jl | joshuacnf/ProbabilisticCircuits.jl | cb3ecbdd2d0fe4b2ef5940f2a2b5a4e4c212fb3e | [
"Apache-2.0"
] | 81 | 2019-12-22T22:09:21.000Z | 2022-03-30T14:02:40.000Z | test/queries/pr_constraint_tests.jl | joshuacnf/ProbabilisticCircuits.jl | cb3ecbdd2d0fe4b2ef5940f2a2b5a4e4c212fb3e | [
"Apache-2.0"
] | 93 | 2020-02-08T16:21:39.000Z | 2022-03-17T07:17:40.000Z | test/queries/pr_constraint_tests.jl | joshuacnf/ProbabilisticCircuits.jl | cb3ecbdd2d0fe4b2ef5940f2a2b5a4e4c212fb3e | [
"Apache-2.0"
] | 10 | 2020-02-08T10:41:23.000Z | 2022-02-14T22:51:44.000Z | using Test
using LogicCircuits
using ProbabilisticCircuits
@testset "Probability of constraint" begin
# two nodes
simplevtree = zoo_vtree_file("simple2.vtree")
simplepsdd = zoo_psdd_file("simple2.4.psdd")
pc = read((simplepsdd, simplevtree), StructProbCircuit)
@test pr_constraint(pc, pc) ≈ 1.... | 26.304348 | 61 | 0.710744 | [
"@testset \"Probability of constraint\" begin\n\n # two nodes\n simplevtree = zoo_vtree_file(\"simple2.vtree\")\n simplepsdd = zoo_psdd_file(\"simple2.4.psdd\")\n pc = read((simplepsdd, simplevtree), StructProbCircuit)\n \n @test pr_constraint(pc, pc) ≈ 1.0\n\n # Test with two psdds\n pc1fil... |
73a8f81eef8a3d17097cb659d70fba977bf799fa | 2,072 | jl | Julia | test/test_timeevolution_schroedinger.jl | myrddin89/QuantumOptics.jl | d476ebbf21aa279e1d0f522764d7ff3147e5c6bb | [
"MIT"
] | null | null | null | test/test_timeevolution_schroedinger.jl | myrddin89/QuantumOptics.jl | d476ebbf21aa279e1d0f522764d7ff3147e5c6bb | [
"MIT"
] | null | null | null | test/test_timeevolution_schroedinger.jl | myrddin89/QuantumOptics.jl | d476ebbf21aa279e1d0f522764d7ff3147e5c6bb | [
"MIT"
] | null | null | null | using Test
using QuantumOptics
@testset "schroedinger" begin
N = 3
Ncutoff = 2
T = [0.:0.1:1.;]
Ω = [0 2 3;
2 0 1;
3 1 0]
ω = [1., 1.2, 1.5]
basis_fock = FockBasis(Ncutoff)
basis = tensor([basis_fock for i=1:N]...)
a = destroy(basis_fock)
at = create(basis_fock)
I = identityoperator(basis_fock)
psi0 =... | 22.769231 | 115 | 0.634653 | [
"@testset \"schroedinger\" begin\n\nN = 3\nNcutoff = 2\nT = [0.:0.1:1.;]\n\nΩ = [0 2 3;\n 2 0 1;\n 3 1 0]\n\nω = [1., 1.2, 1.5]\n\nbasis_fock = FockBasis(Ncutoff)\nbasis = tensor([basis_fock for i=1:N]...)\n\na = destroy(basis_fock)\nat = create(basis_fock)\nI = identityoperator(basis_fock)\n\n\npsi0 = tens... |
73a94495f5a470ba778fe7d3091130045d4f7f5e | 38,717 | jl | Julia | test/syntax.jl | JuliaLangEs/julieta | 40e7d29f981749f28034bc8dd87645d2a7188f9c | [
"Zlib"
] | 1 | 2016-03-28T11:28:58.000Z | 2016-03-28T11:28:58.000Z | test/syntax.jl | JuliaLangEs/julieta | 40e7d29f981749f28034bc8dd87645d2a7188f9c | [
"Zlib"
] | null | null | null | test/syntax.jl | JuliaLangEs/julieta | 40e7d29f981749f28034bc8dd87645d2a7188f9c | [
"Zlib"
] | null | null | null | # This file is a part of Julia. License is MIT: https://julialang.org/license
# tests for parser and syntax lowering
import Base.Meta.ParseError
function parseall(str)
pos = start(str)
exs = []
while !done(str, pos)
ex, pos = Meta.parse(str, pos)
push!(exs, ex)
end
if length(exs) ... | 31.426136 | 133 | 0.560271 | [
"@testset \"raw_str macro\" begin\n @test raw\"$\" == \"\\$\"\n @test raw\"\\n\" == \"\\\\n\"\n @test raw\"\\t\" == \"\\\\t\"\n\n s1 = raw\"\"\"\n lorem ipsum\\n\n $x = 1$\n \"\"\"\n\n s2 = \"\"\"\n lorem ipsum\\\\n\n \\$x = 1\\$\n \"\"\"\n\n @test s... |
73ab96f87240351132d0716989c827bbf4f89bff | 6,031 | jl | Julia | test/functions_linearalgebra.jl | KristofferC/NamedDims.jl | 8ecaed6321e2ed411eeeb7122dfcf6cd663182ef | [
"MIT"
] | null | null | null | test/functions_linearalgebra.jl | KristofferC/NamedDims.jl | 8ecaed6321e2ed411eeeb7122dfcf6cd663182ef | [
"MIT"
] | null | null | null | test/functions_linearalgebra.jl | KristofferC/NamedDims.jl | 8ecaed6321e2ed411eeeb7122dfcf6cd663182ef | [
"MIT"
] | null | null | null | using Test: approx_full
using LinearAlgebra
using NamedDims
using NamedDims: dimnames
using Test
if !isdefined(@__MODULE__, :ColumnNorm)
# Make work on old julia versions
ColumnNorm() = Val(true)
NoPivot() = Val(false)
end
function baseline_tests(fact, identity)
# A set of generic tests to ensure that... | 34.073446 | 97 | 0.550489 | [
"@testset \"lu\" begin\n baseline_tests(lu, F -> getindex(F.L * F.U, F.p, :))\n\n # Explicit `dimnames` tests for readability\n nda = NamedDimsArray{(:foo, :bar)}([1.0 2 3; 4 5 6])\n x = lu(nda)\n @test dimnames(x.L) == (:foo, :_)\n @test dimnames(x.U) == (:_, :bar)\n @test dimnames(x.p) == (:f... |
73ac2d12d374bdc618f266c95ddd93e6a367a0ad | 10,713 | jl | Julia | test/test_printing.jl | Krastanov/QuantumOpticsBase.jl | 201b6305440b456b4b1936356e82735cfe6b2f90 | [
"MIT"
] | null | null | null | test/test_printing.jl | Krastanov/QuantumOpticsBase.jl | 201b6305440b456b4b1936356e82735cfe6b2f90 | [
"MIT"
] | null | null | null | test/test_printing.jl | Krastanov/QuantumOpticsBase.jl | 201b6305440b456b4b1936356e82735cfe6b2f90 | [
"MIT"
] | null | null | null | using Test
using QuantumOpticsBase
@testset "printing" begin
@test sprint(show, GenericBasis([2, 3])) == "Basis(shape=[2,3])"
@test sprint(show, GenericBasis(2)) == "Basis(dim=2)"
@test sprint(show, SpinBasis(1//1)) == "Spin(1)"
@test sprint(show, SpinBasis(3//2)) == "Spin(3/2)"
@test sprint(show, FockBasis(1)) == "F... | 65.723926 | 1,215 | 0.551666 | [
"@testset \"printing\" begin\n\n@test sprint(show, GenericBasis([2, 3])) == \"Basis(shape=[2,3])\"\n@test sprint(show, GenericBasis(2)) == \"Basis(dim=2)\"\n@test sprint(show, SpinBasis(1//1)) == \"Spin(1)\"\n@test sprint(show, SpinBasis(3//2)) == \"Spin(3/2)\"\n@test sprint(show, FockBasis(1)) == \"Fock(cutoff=1)\... |
73ac64e1b4ddb11448707c582b23f6a5857c62fc | 2,667 | jl | Julia | test/deWall.jl | eOnofri04/AlphaShape.jl | 8f7bef006b41fd49dfcc7cc99f6e666b5f858574 | [
"MIT"
] | 1 | 2019-09-04T17:41:16.000Z | 2019-09-04T17:41:16.000Z | test/deWall.jl | eOnofri04/AlphaStructures.jl | 301489190bcbf776f8202c2ede23be42d30aab36 | [
"MIT"
] | 3 | 2019-07-09T13:50:40.000Z | 2021-03-30T09:25:43.000Z | test/deWall.jl | eOnofri04/AlphaStructures.jl | 301489190bcbf776f8202c2ede23be42d30aab36 | [
"MIT"
] | null | null | null | if VERSION < VersionNumber("1.0.0")
using Base.Test
else
using Test
end
@testset "First Delaunay Wall Simplex" begin
P = [
1.0 1.0 1.5 2.0 2.0
0.0 0.2 1.3 1.0 1.0
2.0 0.0 0.0 1.0 0.5
]
axis = 1
off = AlphaStructures.findMedian(P, axis)
@test sort(AlphaStructures.firstDeWallSimplex(P, axis, off)) == [1, ... | 25.893204 | 93 | 0.610049 | [
"@testset \"First Delaunay Wall Simplex\" begin\n\n\tP = [\n\t\t1.0 1.0 1.5 2.0 2.0\n\t\t0.0 0.2 1.3 1.0 1.0\n\t\t2.0 0.0 0.0 1.0 0.5\n\t]\n\n\taxis = 1\n\toff = AlphaStructures.findMedian(P, axis)\n\t@test sort(AlphaStructures.firstDeWallSimplex(P, axis, off)) == [1, 2, 3, 4]\n\n\taxis = 2\n\toff = AlphaStructures... |
73ad4e946789495551cd07d61f9f4f4fdf5662be | 1,030 | jl | Julia | test/url.jl | quatrix/HTTP.jl | 657dbf9a5d1d87e6e085158a5a053553fcaed032 | [
"MIT"
] | null | null | null | test/url.jl | quatrix/HTTP.jl | 657dbf9a5d1d87e6e085158a5a053553fcaed032 | [
"MIT"
] | null | null | null | test/url.jl | quatrix/HTTP.jl | 657dbf9a5d1d87e6e085158a5a053553fcaed032 | [
"MIT"
] | null | null | null | using JSON
using HTTP
using Test
@testset "HTTP.URL" begin
tests = JSON.parse(String(read("resources/cweb-urls.json")))["tests"]["group"]
@testset " - $test - $group" for group in tests, test in group["test"]
name = group["name"]
url = get(test, "url", nothing)
if url !== nothing
... | 25.75 | 82 | 0.495146 | [
"@testset \"HTTP.URL\" begin\n tests = JSON.parse(String(read(\"resources/cweb-urls.json\")))[\"tests\"][\"group\"]\n\n @testset \" - $test - $group\" for group in tests, test in group[\"test\"]\n name = group[\"name\"]\n\n url = get(test, \"url\", nothing)\n\n if url !== nothing\n ... |
73ae52d2e522c2f6016658d846a7c1b6d7678936 | 5,099 | jl | Julia | test/runtests.jl | c42f/Contexts.jl | ba57cb68f0f6b03bae96f92a9114f514fe86cd81 | [
"MIT"
] | 13 | 2021-05-12T04:59:06.000Z | 2021-05-18T19:33:30.000Z | test/runtests.jl | c42f/ResourceContexts.jl | ba57cb68f0f6b03bae96f92a9114f514fe86cd81 | [
"MIT"
] | 11 | 2021-05-22T10:43:31.000Z | 2022-01-14T06:27:49.000Z | test/runtests.jl | c42f/ResourceContexts.jl | ba57cb68f0f6b03bae96f92a9114f514fe86cd81 | [
"MIT"
] | 2 | 2021-09-13T17:09:24.000Z | 2021-09-16T13:54:34.000Z | using ResourceContexts
using Test
using Logging
using Compat
# Use of @! to pass context to resource creation function
@! function foo(x, label)
# Use of @defer inside a resource creation function
@defer push!(x, label)
end
@! function bar(x; label=nothing)
@defer push!(x, label)
end
@! function baz(x::T... | 26.419689 | 81 | 0.622671 | [
"@testset \"Cleanup ordering\" begin\n cleanups = []\n @context begin\n @defer push!(cleanups, :A)\n @! foo(cleanups, :B)\n @! bar(cleanups; label=:C)\n @! baz(cleanups, :D)\n @test cleanups == []\n end\n @test cleanups == [:D, :C, :B, :A]\nend",
"@testset \"@context... |
73afdf4bfd880237652a403b0886b64fb2176ba0 | 4,172 | jl | Julia | test/fileDFGTests.jl | JuliaRobotics/DistributedFactorGraphs.jl | e602da953d7275c4886854aa6cbd52699ebcb042 | [
"Apache-2.0"
] | 25 | 2018-10-04T16:16:21.000Z | 2022-03-17T21:54:55.000Z | test/fileDFGTests.jl | JuliaRobotics/DistributedFactorGraphs.jl | e602da953d7275c4886854aa6cbd52699ebcb042 | [
"Apache-2.0"
] | 708 | 2018-09-30T22:07:38.000Z | 2022-03-28T19:22:15.000Z | test/fileDFGTests.jl | JuliaRobotics/DistributedFactorGraphs.jl | e602da953d7275c4886854aa6cbd52699ebcb042 | [
"Apache-2.0"
] | 3 | 2020-02-08T11:31:24.000Z | 2022-02-05T08:35:13.000Z | using DistributedFactorGraphs
using IncrementalInference
using Test
using TimeZones
##
@testset "FileDFG Tests" begin
for filename in ["/tmp/fileDFG", "/tmp/FileDFGExtension.tar.gz"]
global dfg
dfg = DistributedFactorGraphs._getDuplicatedEmptyDFG(dfg)
if typeof(dfg) <: CloudGraphsDFG
... | 39.733333 | 144 | 0.588207 | [
"@testset \"FileDFG Tests\" begin\n for filename in [\"/tmp/fileDFG\", \"/tmp/FileDFGExtension.tar.gz\"]\n global dfg\n dfg = DistributedFactorGraphs._getDuplicatedEmptyDFG(dfg)\n\n if typeof(dfg) <: CloudGraphsDFG\n @warn \"TEST: Removing all data for user '$(dfg.userId)', robot ... |
73b1c3059dd1c2edd5c068cb66aaa6f0c119b818 | 137 | jl | Julia | test/runtests.jl | UnofficialJuliaMirror/YaoSym.jl-3b27209a-d3d6-11e9-3c0f-41eb92b2cb9d | e683534d9fa395b337c8a559663a3a12ba689525 | [
"Apache-2.0"
] | 8 | 2019-09-11T04:51:22.000Z | 2021-12-16T04:30:06.000Z | test/runtests.jl | UnofficialJuliaMirror/YaoSym.jl-3b27209a-d3d6-11e9-3c0f-41eb92b2cb9d | e683534d9fa395b337c8a559663a3a12ba689525 | [
"Apache-2.0"
] | 35 | 2019-09-11T05:14:55.000Z | 2021-12-02T18:48:56.000Z | test/runtests.jl | UnofficialJuliaMirror/YaoSym.jl-3b27209a-d3d6-11e9-3c0f-41eb92b2cb9d | e683534d9fa395b337c8a559663a3a12ba689525 | [
"Apache-2.0"
] | 2 | 2020-02-08T11:57:56.000Z | 2021-12-16T04:32:45.000Z | using Test
@testset "register" begin
include("register.jl")
end
@testset "symengine" begin
include("symengine/backend.jl")
end
| 13.7 | 35 | 0.715328 | [
"@testset \"register\" begin\n include(\"register.jl\")\nend",
"@testset \"symengine\" begin\n include(\"symengine/backend.jl\")\nend"
] |
73b332555eab741bdcf909689252d4f0ea0f00c7 | 656 | jl | Julia | test/format_checksum.jl | UnofficialJuliaMirrorSnapshots/DataDepsGenerators.jl-a14fa8ac-7845-53f2-854f-e9bba4c623ff | 4cbf6df419088aeff34942a4741e691081f5583f | [
"MIT"
] | 15 | 2018-07-22T19:21:11.000Z | 2022-01-19T22:39:42.000Z | test/format_checksum.jl | UnofficialJuliaMirrorSnapshots/DataDepsGenerators.jl-a14fa8ac-7845-53f2-854f-e9bba4c623ff | 4cbf6df419088aeff34942a4741e691081f5583f | [
"MIT"
] | 69 | 2017-11-13T08:27:53.000Z | 2020-08-31T13:27:09.000Z | test/format_checksum.jl | UnofficialJuliaMirrorSnapshots/DataDepsGenerators.jl-a14fa8ac-7845-53f2-854f-e9bba4c623ff | 4cbf6df419088aeff34942a4741e691081f5583f | [
"MIT"
] | 9 | 2018-02-26T18:33:50.000Z | 2021-08-03T12:24:35.000Z | using DataDepsGenerators:format_checksums
using Test
@testset "Formatting Checksums" begin
@test format_checksums("898237b") ==
"\"898237b\""
@test format_checksums(["898237b", "aba1"]) ==
"[\"898237b\", \"aba1\"]"
@test forma... | 31.238095 | 68 | 0.466463 | [
"@testset \"Formatting Checksums\" begin\n @test format_checksums(\"898237b\") ==\n \"\\\"898237b\\\"\"\n \n @test format_checksums([\"898237b\", \"aba1\"]) ==\n \"[\\\"898237b\\\", \\\"aba1\\\"]\"\n \n @test format_checksums((:md5,... |
73b50c37ba1807e3106b2ab579b1acf1392d8d19 | 111 | jl | Julia | test/runtests.jl | PetrKryslUCSD/MeshCore.jl | 35846d9ff8c49172f6f2823e36972af2b408b5d3 | [
"MIT"
] | 15 | 2020-03-14T02:08:48.000Z | 2021-07-14T03:35:54.000Z | test/runtests.jl | PetrKryslUCSD/MeshCore.jl | 35846d9ff8c49172f6f2823e36972af2b408b5d3 | [
"MIT"
] | 3 | 2020-12-16T01:13:16.000Z | 2021-03-11T21:34:47.000Z | test/runtests.jl | PetrKryslUCSD/MeshCore.jl | 35846d9ff8c49172f6f2823e36972af2b408b5d3 | [
"MIT"
] | 9 | 2020-03-17T04:53:16.000Z | 2021-03-14T09:00:50.000Z | using Test
@time @testset "Mesh core" begin
include("test_core.jl")
include("attributes_tests.jl")
end
| 18.5 | 34 | 0.711712 | [
"@time @testset \"Mesh core\" begin\n include(\"test_core.jl\")\n include(\"attributes_tests.jl\")\nend"
] |
73b7f0d1e1273b1223bca6718517a87eb0d1e879 | 2,708 | jl | Julia | test/test_molecules.jl | detrin/OpenQuantumSystems.jl | b32495ab12e3b1142056ef362d8bb2d1a120afa8 | [
"MIT"
] | 6 | 2020-08-03T09:59:53.000Z | 2022-01-08T11:15:44.000Z | test/test_molecules.jl | detrin/OpenQuantumSystems.jl | b32495ab12e3b1142056ef362d8bb2d1a120afa8 | [
"MIT"
] | 22 | 2020-11-17T11:49:10.000Z | 2022-03-20T08:28:16.000Z | test/test_molecules.jl | detrin/OpenQuantumSystems.jl | b32495ab12e3b1142056ef362d8bb2d1a120afa8 | [
"MIT"
] | null | null | null | using Test
using OpenQuantumSystems
using LinearAlgebra
# using Traceur
@testset "molecules" begin
D(op1::Array, op2::Array) = abs(norm(op1 - op2))
fc1 = franckCondonFactors(3, 0.0)
fc2 = [
1.0+0.0im 0.0+0.0im 0.0+0.0im
0.0+0.0im 1.0+0.0im 0.0+0.0im
0.0+0.0im 0.0+0.0im 1.0+0.0im
... | 27.917526 | 90 | 0.539513 | [
"@testset \"molecules\" begin\n\n D(op1::Array, op2::Array) = abs(norm(op1 - op2))\n\n fc1 = franckCondonFactors(3, 0.0)\n fc2 = [\n 1.0+0.0im 0.0+0.0im 0.0+0.0im\n 0.0+0.0im 1.0+0.0im 0.0+0.0im\n 0.0+0.0im 0.0+0.0im 1.0+0.0im\n ]\n @test 1e-12 > D(fc1, fc2)\n\n fc1 = franckCo... |
73bba2ecd667332375d0d6400886ee51ac562d5b | 97 | jl | Julia | test/runtests.jl | sambuddhac/TestOptJulia | 3fb6c028782b0f4d0274e8dc1d7a035968a8e55d | [
"MIT"
] | 1 | 2021-06-21T10:20:06.000Z | 2021-06-21T10:20:06.000Z | test/runtests.jl | sambuddhac/TestOptJulia | 3fb6c028782b0f4d0274e8dc1d7a035968a8e55d | [
"MIT"
] | null | null | null | test/runtests.jl | sambuddhac/TestOptJulia | 3fb6c028782b0f4d0274e8dc1d7a035968a8e55d | [
"MIT"
] | null | null | null | using TestOptJulia
using Test
@testset "TestOptJulia.jl" begin
# Write your tests here.
end
| 13.857143 | 32 | 0.752577 | [
"@testset \"TestOptJulia.jl\" begin\n # Write your tests here.\nend"
] |
73bf490c9738f3da972f8672c8befe287a86e7f1 | 356 | jl | Julia | test/quick_sort.jl | yuehhua/Algorithm101 | 98591f7f9da98db1942e1b87b43caa555aba3f98 | [
"MIT"
] | null | null | null | test/quick_sort.jl | yuehhua/Algorithm101 | 98591f7f9da98db1942e1b87b43caa555aba3f98 | [
"MIT"
] | null | null | null | test/quick_sort.jl | yuehhua/Algorithm101 | 98591f7f9da98db1942e1b87b43caa555aba3f98 | [
"MIT"
] | 1 | 2021-06-18T13:04:10.000Z | 2021-06-18T13:04:10.000Z | using Test
using Algorithm101
const ALGO = Algorithm101
@testset "Test QuickSort" begin
# Test: 5 elements
data = [5,2,4,3,1]
answer = sort(data)
@test ALGO.quick_sort!(data, 1, length(data)) == answer
# Test: 100 elements
data = rand(100)
answer = sort(data)
@test ALGO.quick_sort!(da... | 19.777778 | 59 | 0.643258 | [
"@testset \"Test QuickSort\" begin\n\n # Test: 5 elements\n data = [5,2,4,3,1]\n answer = sort(data)\n @test ALGO.quick_sort!(data, 1, length(data)) == answer\n\n # Test: 100 elements\n data = rand(100)\n answer = sort(data)\n @test ALGO.quick_sort!(data, 1, length(data)) == answer\n\nend"
] |
73c22f7a331196f990aa3abcd4738d9aa086d3f6 | 1,555 | jl | Julia | script/facet_verifications/verify_anti_guessing_facet.jl | ChitambarLab/SignalingDimension.jl | 5ec10bda0b480e0f811595210d33aad99eba4e0a | [
"MIT"
] | 2 | 2021-03-05T01:27:15.000Z | 2021-04-16T22:43:34.000Z | script/facet_verifications/verify_anti_guessing_facet.jl | ChitambarLab/SignalingDimension.jl | 5ec10bda0b480e0f811595210d33aad99eba4e0a | [
"MIT"
] | 2 | 2021-02-24T17:35:37.000Z | 2021-02-28T01:32:34.000Z | script/facet_verifications/verify_anti_guessing_facet.jl | ChitambarLab/SignalingDimension.jl | 5ec10bda0b480e0f811595210d33aad99eba4e0a | [
"MIT"
] | 1 | 2021-04-16T22:43:41.000Z | 2021-04-16T22:43:41.000Z | using Test, ArgParse
using SignalingDimension
try print_test_results catch err
include("../utilities.jl")
using .ScriptUtilities: print_test_results
end
# parsing command line arguments
arg_table = ArgParseSettings()
@add_arg_table! arg_table begin
"-N"
help = "max number of inputs/outputs to cons... | 31.734694 | 90 | 0.618006 | [
"@testset \"Testing all anti-guessing facets of size `($N_max, $N_max)` or less.\" begin\n @testset \"Scanning over all `d ∈ [2, $N - 2]`\" for N in 4:N_max\n @testset \"Scanning over all `ε ∈ [3, $N - $d + 1]`\" for d in 2:N-2\n @testset \"Verifying N = $N, d = $d, ε = $ε\" for ε ... |
73c31e668f0183db7e4e38ad96a8a2608cd76120 | 8,414 | jl | Julia | test/interface.jl | petruz93/LinearAlgebraicRepresentation.jl | d3facd81e331cdc2f8e37fc1e6641b01fa40c0ff | [
"MIT"
] | 1 | 2019-02-25T16:45:01.000Z | 2019-02-25T16:45:01.000Z | test/interface.jl | petruz93/LinearAlgebraicRepresentation.jl | d3facd81e331cdc2f8e37fc1e6641b01fa40c0ff | [
"MIT"
] | 1 | 2019-06-03T11:48:14.000Z | 2019-06-03T11:48:14.000Z | test/interface.jl | petruz93/LinearAlgebraicRepresentation.jl | d3facd81e331cdc2f8e37fc1e6641b01fa40c0ff | [
"MIT"
] | null | null | null | using Test
using SparseArrays
using LinearAlgebraicRepresentation
Lar = LinearAlgebraicRepresentation
@testset "interface.jl file Tests" begin
@testset "characteristicMatrix Tests" begin
V,(VV,EV,FV,CV) = Lar.cuboid([1.,1.,1.], true);
@test Matrix(Lar.characteristicMatrix(FV)) == [
1 1 1 1 0 0 0 0;
... | 42.07 | 92 | 0.497266 | [
"@testset \"interface.jl file Tests\" begin\n\t@testset \"characteristicMatrix Tests\" begin\n\t\tV,(VV,EV,FV,CV) = Lar.cuboid([1.,1.,1.], true); \n\t\t@test Matrix(Lar.characteristicMatrix(FV)) == [\n\t\t 1 1 1 1 0 0 0 0;\n\t\t 0 0 0 0 1 1 1 1;\n\t\t 1 1 0 0 1 1 0 0;\n\t\t 0 0 1 1 0 0 1 ... |
73c50c28fe937a2659385e2ab3608e1d7e2e3c3a | 4,351 | jl | Julia | docs/literate/make.jl | panalluri/Trixi.jl | faab9964204923c1a21b55ebf788c8a37aa01e90 | [
"MIT"
] | 234 | 2020-08-27T14:16:39.000Z | 2022-03-25T17:15:12.000Z | docs/literate/make.jl | panalluri/Trixi.jl | faab9964204923c1a21b55ebf788c8a37aa01e90 | [
"MIT"
] | 863 | 2020-08-19T07:04:27.000Z | 2022-03-31T09:36:14.000Z | docs/literate/make.jl | panalluri/Trixi.jl | faab9964204923c1a21b55ebf788c8a37aa01e90 | [
"MIT"
] | 53 | 2020-08-19T06:24:31.000Z | 2022-03-31T12:01:31.000Z | using Literate: Literate
using Test: @testset
import Pkg
# Create markdown and notebook files for `file`
function create_files(title, file, repo_src, pages_dir, notebooks_dir; folder="")
notebook_filename = first(splitext(file)) * ".ipynb"
if !isempty(folder)
notebook_filename = joinpath(folder, notebo... | 46.784946 | 238 | 0.664215 | [
"@testset \"TrixiTutorials\" begin\n for (i, (title, filename)) in enumerate(files)\n if filename isa Vector # Several files of one topic\n for j in eachindex(filename)\n @testset \"$(filename[j][2][2])\" begin include(joinpath(repo_src, filename[j][2][1], filenam... |
73c9722d38d00587967d369b5b2cec7bed542c3f | 4,877 | jl | Julia | test/runtests.jl | cscherrer/DynamicIterators.jl | a3fc9cf6323e5630e08bf6c7b31084107dedd7fe | [
"MIT"
] | null | null | null | test/runtests.jl | cscherrer/DynamicIterators.jl | a3fc9cf6323e5630e08bf6c7b31084107dedd7fe | [
"MIT"
] | null | null | null | test/runtests.jl | cscherrer/DynamicIterators.jl | a3fc9cf6323e5630e08bf6c7b31084107dedd7fe | [
"MIT"
] | null | null | null | using DynamicIterators
using DynamicIterators: dub, _lastiterate, Sampled, State, Controlled
using Test
using Trajectories
import DynamicIterators.dyniterate
@testset "Examples" begin
include("../example/metropolishastings.jl")
include("../example/cumsum.jl")
end
c = collect
cf = collectfrom
# Arnolds ... | 28.028736 | 115 | 0.546237 | [
"@testset \"Examples\" begin\n include(\"../example/metropolishastings.jl\")\n include(\"../example/cumsum.jl\")\n\nend",
"@testset \"Evolve\" begin\n\n A = [ 0 0 0 0 0 0\n 0 1 1 1 1 0\n 0 1 0 0 1 0\n 0 1 1 1 1 0\n 0 1 0 0 1 0\n 0 0 0 0 0 0\n ... |
73cb58703e37a8b271ce755130f1e2f9e12fe218 | 9,087 | jl | Julia | test/test_Density.jl | albert-de-montserrat/GeoParams.jl | 59ccd8f19cf70ca20a02144dd0a917bdb55937cd | [
"MIT"
] | null | null | null | test/test_Density.jl | albert-de-montserrat/GeoParams.jl | 59ccd8f19cf70ca20a02144dd0a917bdb55937cd | [
"MIT"
] | null | null | null | test/test_Density.jl | albert-de-montserrat/GeoParams.jl | 59ccd8f19cf70ca20a02144dd0a917bdb55937cd | [
"MIT"
] | null | null | null | using Test
using GeoParams
@testset "Density.jl" begin
#Set alias for density function
@use GeoParamsAliases density=ρ
#Make sure that structs are isbits
x = ConstantDensity()
@test isbits(x)
x = PT_Density()
@test isbits(x)
x = Compressible_Density()
@test isbits(x)
# This tests the M... | 40.207965 | 149 | 0.652581 | [
"@testset \"Density.jl\" begin\n\n #Set alias for density function \n @use GeoParamsAliases density=ρ \n\n #Make sure that structs are isbits\n x = ConstantDensity()\n @test isbits(x)\n\n x = PT_Density()\n @test isbits(x)\n\n x = Compressible_Density()\n @test isbits(x)\n\n # This tests the Materia... |
73cccc08c2689c7092cf923b48d7664d45248c2c | 9,145 | jl | Julia | test/ensembles.jl | drcxcruz/MLJ.jl | ee3c4a63bfbe8bfb7c72fe9c64581cd4ac73ed10 | [
"MIT"
] | null | null | null | test/ensembles.jl | drcxcruz/MLJ.jl | ee3c4a63bfbe8bfb7c72fe9c64581cd4ac73ed10 | [
"MIT"
] | null | null | null | test/ensembles.jl | drcxcruz/MLJ.jl | ee3c4a63bfbe8bfb7c72fe9c64581cd4ac73ed10 | [
"MIT"
] | null | null | null | module TestEnsembles
using Test
using Random
using StableRNGs
using MLJ
using MLJBase
import MLJModels
using CategoricalArrays
import Distributions
@load KNNRegressor
## HELPER FUNCTIONS
@test MLJ._reducer([1, 2], [3, ]) == [1, 2, 3]
@test MLJ._reducer(([1, 2], [:x, :y]), ([3, 4, 5], [:z, :w, :a])) ==
([1, 2, 3... | 36.289683 | 88 | 0.701367 | [
"@testset \"further test of sample weights\" begin\n rng = StableRNG(123)\n N = 20\n X = (x = rand(rng, 3N), );\n y = categorical(rand(rng, \"abbbc\", 3N));\n atom = @load KNNClassifier\n ensemble_model = MLJ.ProbabilisticEnsembleModel(atom=atom,\n ... |
73d4a6cbc9b962f8c72325e0d3edc57f62f7340f | 71,942 | jl | Julia | test/Bridges/lazy_bridge_optimizer.jl | shadiakiki1986/MathOptInterface.jl | 6092c3df58851290fa9caf00e886432e827502fd | [
"MIT"
] | null | null | null | test/Bridges/lazy_bridge_optimizer.jl | shadiakiki1986/MathOptInterface.jl | 6092c3df58851290fa9caf00e886432e827502fd | [
"MIT"
] | null | null | null | test/Bridges/lazy_bridge_optimizer.jl | shadiakiki1986/MathOptInterface.jl | 6092c3df58851290fa9caf00e886432e827502fd | [
"MIT"
] | null | null | null | using Test
using MathOptInterface
const MOI = MathOptInterface
const MOIT = MathOptInterface.Test
const MOIU = MathOptInterface.Utilities
const MOIB = MathOptInterface.Bridges
@testset "Add/remove/has bridges" begin
T = Int
model = MOIU.Model{T}()
bridged = MOIB.LazyBridgeOptimizer(model)
for BT in [M... | 62.39549 | 279 | 0.709627 | [
"@testset \"Add/remove/has bridges\" begin\n T = Int\n model = MOIU.Model{T}()\n bridged = MOIB.LazyBridgeOptimizer(model)\n for BT in [MOIB.Variable.VectorizeBridge{T},\n MOIB.Constraint.VectorizeBridge{T},\n MOIB.Objective.FunctionizeBridge{T},\n MOIB.Constrai... |
73da08f8ddc1e1c5114b210b0b471e179bcfcce2 | 6,661 | jl | Julia | test/odesystem.jl | GlenHertz/ModelingToolkit.jl | 23ab27aec40430efdc1beb5a7ebb1769a057b1ff | [
"MIT"
] | null | null | null | test/odesystem.jl | GlenHertz/ModelingToolkit.jl | 23ab27aec40430efdc1beb5a7ebb1769a057b1ff | [
"MIT"
] | null | null | null | test/odesystem.jl | GlenHertz/ModelingToolkit.jl | 23ab27aec40430efdc1beb5a7ebb1769a057b1ff | [
"MIT"
] | null | null | null | using ModelingToolkit, StaticArrays, LinearAlgebra
using OrdinaryDiffEq
using DiffEqBase, SparseArrays
using Test
using ModelingToolkit: value
# Define some variables
@parameters t σ ρ β
@variables x(t) y(t) z(t)
D = Differential(t)
# Define a differential equation
eqs = [D(x) ~ σ*(y-x),
D(y) ~ x*(ρ-z)-y,
... | 26.537849 | 125 | 0.567783 | [
"@testset \"time-varying parameters\" begin\n @parameters σ′(t-1)\n eqs = [D(x) ~ σ′*(y-x),\n D(y) ~ x*(ρ-z)-y,\n D(z) ~ x*y - β*z]\n de = ODESystem(eqs)\n test_diffeq_inference(\"global iv-varying\", de, t, (x, y, z), (σ′, ρ, β))\n @test begin\n f = eval(generate_function(... |
73ded95496c1bb4805f66dc48c93d59b30fee2e5 | 11,390 | jl | Julia | test/runtests.jl | lcx09/BilevelJuMP.jl | 1bc3b81a72f68c910002ee23c39acf073b4c7702 | [
"MIT"
] | 1 | 2021-03-29T07:46:11.000Z | 2021-03-29T07:46:11.000Z | test/runtests.jl | lcx09/BilevelJuMP.jl | 1bc3b81a72f68c910002ee23c39acf073b4c7702 | [
"MIT"
] | null | null | null | test/runtests.jl | lcx09/BilevelJuMP.jl | 1bc3b81a72f68c910002ee23c39acf073b4c7702 | [
"MIT"
] | null | null | null | using BilevelJuMP
using Test, MathOptInterface, JuMP, Dualization
# using MathOptFormat
const MOI = MathOptInterface
const MOIU = MathOptInterface.Utilities
const MOIB = MathOptInterface.Bridges
const MOIT = MathOptInterface.Test
# TODO
# add JUMPExtension test
struct Config
atol::Float64
rtol::Float64
... | 34.72561 | 172 | 0.690255 | [
"@testset \"BilevelJuMP tests\" begin\n\n@testset \"Unit\" begin\n jump_display()\n jump_objective()\n jump_bounds()\n jump_attributes()\n mixed_mode_unit()\n jump_constraints()\n jump_variables()\n for solver in solvers_sos\n invalid_lower_objective(solver.opt, solver.mode)\n ... |
73e25ab76b024a31936a3790ccf3720c1f6187d6 | 17,519 | jl | Julia | test/dataframerow.jl | non-Jedi/DataFrames.jl | 8bfa59e592c98219705fcaef6e9768578f6fa3bf | [
"MIT"
] | null | null | null | test/dataframerow.jl | non-Jedi/DataFrames.jl | 8bfa59e592c98219705fcaef6e9768578f6fa3bf | [
"MIT"
] | null | null | null | test/dataframerow.jl | non-Jedi/DataFrames.jl | 8bfa59e592c98219705fcaef6e9768578f6fa3bf | [
"MIT"
] | null | null | null | module TestDataFrameRow
using Test, DataFrames, Random, Logging
const ≅ = isequal
const ≇ = !isequal
ref_df = DataFrame(a=Union{Int, Missing}[1, 2, 3, 1, 2, 2],
b=[2.0, missing, 1.2, 2.0, missing, missing],
c=["A", "B", "C", "A", "B", missing],
d=CategoricalArr... | 35.753061 | 107 | 0.515783 | [
"@testset \"constructors\" begin\n df = deepcopy(ref_df)\n sdf = view(df, [5, 3], [3, 1, 2])\n\n @test names(DataFrameRow(df, 1, :)) == [:a, :b, :c, :d]\n @test DataFrameRow(df, 1) == DataFrameRow(df, 1, :)\n @test DataFrameRow(df, 1) == DataFrameRow(df, 1, r\"\")\n @test names(DataFrameRow(df, 3,... |
73e304bc42845466f0337f23c430d887e6a876db | 7,215 | jl | Julia | test/tables.jl | UnofficialJuliaMirror/TimeSeries.jl-9e3dc215-6440-5c97-bce1-76c03772f85e | a162268a8edf7a64ef57f874148897bf9ec6ec07 | [
"MIT"
] | null | null | null | test/tables.jl | UnofficialJuliaMirror/TimeSeries.jl-9e3dc215-6440-5c97-bce1-76c03772f85e | a162268a8edf7a64ef57f874148897bf9ec6ec07 | [
"MIT"
] | null | null | null | test/tables.jl | UnofficialJuliaMirror/TimeSeries.jl-9e3dc215-6440-5c97-bce1-76c03772f85e | a162268a8edf7a64ef57f874148897bf9ec6ec07 | [
"MIT"
] | null | null | null | using Test
using TimeSeries
using MarketData
using DataFrames
using Tables
using CSV
@testset "Tables.jl integration" begin
@testset "interface" begin
@testset "single column" begin
@test Tables.istable(cl)
@test Tables.istable(typeof(cl))
@test Tables.rowaccess(cl)
@test Table... | 33.873239 | 80 | 0.490783 | [
"@testset \"Tables.jl integration\" begin\n\n\n@testset \"interface\" begin\n\n @testset \"single column\" begin\n @test Tables.istable(cl)\n @test Tables.istable(typeof(cl))\n @test Tables.rowaccess(cl)\n @test Tables.columnaccess(cl)\n\n sch = Tables.schema(cl)\n @test... |
73ed2c65a8e61a60a08dff2bc233805e6f9c2a02 | 2,945 | jl | Julia | test/part2.jl | YWang-east/course-101-0250-00-FinalProject | ca9d95b9dd2ccfc6c7c56d8240d07ce735a1e02e | [
"MIT"
] | null | null | null | test/part2.jl | YWang-east/course-101-0250-00-FinalProject | ca9d95b9dd2ccfc6c7c56d8240d07ce735a1e02e | [
"MIT"
] | 1 | 2021-12-10T10:43:03.000Z | 2021-12-11T18:10:57.000Z | test/part2.jl | YWang-east/course-101-0250-00-FinalProject | ca9d95b9dd2ccfc6c7c56d8240d07ce735a1e02e | [
"MIT"
] | null | null | null | # Testing part 2
using Test, ReferenceTests
# for testing, comment the function call: TM_2D(; do_visu = true) at the end of TM_2D_perf.jl
include("../scripts-part2/TM_2D_perf.jl")
# ------------------test macros defined in TM_2D_perf.jl---------------------
# Initialize arbitrary values for varialbes necessary for th... | 47.5 | 103 | 0.596265 | [
"@testset \"Test strain rate macros\" begin\n @test isapprox(∇V , ∇V_ref, atol=tol)\n @test isapprox(ϵxx, ϵxx_ref, atol=tol)\n @test isapprox(ϵyy, ϵyy_ref, atol=tol)\n @test isapprox(ϵxy, ϵxy_ref, atol=tol)\nend",
"@testset \"Test stress macros\" begin\n @test isapprox(τxx, τxx_ref, atol=tol)\n ... |
73eeabfb8cc686dc4c572b5971b287e02877e9dd | 593 | jl | Julia | test/Tracing.jl | JuliaTagBot/TaskHeritableStorage.jl | 3ecb11693d45c48007de2c15aefc461f53ea9138 | [
"MIT"
] | null | null | null | test/Tracing.jl | JuliaTagBot/TaskHeritableStorage.jl | 3ecb11693d45c48007de2c15aefc461f53ea9138 | [
"MIT"
] | 2 | 2019-11-04T20:03:36.000Z | 2019-11-05T00:45:03.000Z | test/Tracing.jl | JuliaTagBot/TaskHeritableStorage.jl | 3ecb11693d45c48007de2c15aefc461f53ea9138 | [
"MIT"
] | 2 | 2020-02-08T11:36:00.000Z | 2021-04-17T19:41:56.000Z | module TracingTests #end
include("../examples/Tracing.jl")
using .Tracing
@static if VERSION >= v"1.3-"
import Base.Threads: @spawn
else
macro spawn(e) esc(:(@async(e))) end
end
using Test
@testset "Tracing example" begin
edges = tracetasks() do
@sync begin
@async begin
... | 17.969697 | 56 | 0.561551 | [
"@testset \"Tracing example\" begin\n\n edges = tracetasks() do\n @sync begin\n @async begin\n # Embedded trace within the parent trace\n inneredges = @tracetasks 2+2\n @assert length(inneredges) == 1\n end\n Threads.@spawn begi... |
73f016c55435d0fab707b57d5f939512de380ca6 | 987 | jl | Julia | test/test_dataset.jl | UnofficialJuliaMirrorSnapshots/ArchGDAL.jl-c9ce4bd3-c3d5-55b8-8973-c0e20141b8c3 | a220f0f9faf75993b38e219732868bfd45ae8fd4 | [
"MIT"
] | null | null | null | test/test_dataset.jl | UnofficialJuliaMirrorSnapshots/ArchGDAL.jl-c9ce4bd3-c3d5-55b8-8973-c0e20141b8c3 | a220f0f9faf75993b38e219732868bfd45ae8fd4 | [
"MIT"
] | null | null | null | test/test_dataset.jl | UnofficialJuliaMirrorSnapshots/ArchGDAL.jl-c9ce4bd3-c3d5-55b8-8973-c0e20141b8c3 | a220f0f9faf75993b38e219732868bfd45ae8fd4 | [
"MIT"
] | null | null | null | using Test
import GDAL
import ArchGDAL; const AG = ArchGDAL
@testset "Test methods for dataset" begin
AG.registerdrivers() do
AG.read("data/utmsmall.tif") do dataset
AG.createcopy(dataset, "tmp/utmcopy.tif","GTiff") do copydataset
@test AG.ngcp(copydataset) == 0
... | 37.961538 | 76 | 0.588652 | [
"@testset \"Test methods for dataset\" begin\n AG.registerdrivers() do\n AG.read(\"data/utmsmall.tif\") do dataset\n AG.createcopy(dataset, \"tmp/utmcopy.tif\",\"GTiff\") do copydataset\n @test AG.ngcp(copydataset) == 0\n @test AG.noverview(AG.getband(copydataset,1... |
73f03eedf20d2e1787d1670f55eacd63de5d4a85 | 390 | jl | Julia | test/graphics/Graphics.jl | slwu89/Catlab.jl | d197b0c12c65fe72198baf9c990e6a4e1f3aebe0 | [
"MIT"
] | 19 | 2017-06-10T09:57:09.000Z | 2019-01-27T06:22:19.000Z | test/graphics/Graphics.jl | slwu89/Catlab.jl | d197b0c12c65fe72198baf9c990e6a4e1f3aebe0 | [
"MIT"
] | 21 | 2017-06-23T01:13:31.000Z | 2019-01-26T22:17:18.000Z | test/graphics/Graphics.jl | epatters/CompCat | d197b0c12c65fe72198baf9c990e6a4e1f3aebe0 | [
"MIT"
] | null | null | null | using Test
@testset "Layouts" begin
include("WiringDiagramLayouts.jl")
end
@testset "Graphviz" begin
include("Graphviz.jl")
include("GraphvizGraphs.jl")
include("GraphvizCategories.jl")
include("GraphvizWiringDiagrams.jl")
end
@testset "Compose" begin
include("ComposeWiringDiagrams.jl")
end
@testset "Ti... | 17.727273 | 38 | 0.748718 | [
"@testset \"Layouts\" begin\n include(\"WiringDiagramLayouts.jl\")\nend",
"@testset \"Graphviz\" begin\n include(\"Graphviz.jl\")\n include(\"GraphvizGraphs.jl\")\n include(\"GraphvizCategories.jl\")\n include(\"GraphvizWiringDiagrams.jl\")\nend",
"@testset \"Compose\" begin\n include(\"ComposeWiringDiagr... |
73f2d1acb395e5d79cd5f401dbc944c69418fceb | 27,565 | jl | Julia | test/runtests.jl | sostock/OffsetArrays.jl | e907809fc2d145e28236c4b45bf3bba230bede73 | [
"MIT"
] | null | null | null | test/runtests.jl | sostock/OffsetArrays.jl | e907809fc2d145e28236c4b45bf3bba230bede73 | [
"MIT"
] | null | null | null | test/runtests.jl | sostock/OffsetArrays.jl | e907809fc2d145e28236c4b45bf3bba230bede73 | [
"MIT"
] | null | null | null | using OffsetArrays
using Test
using DelimitedFiles
using OffsetArrays: IdentityUnitRange, no_offset_view
using CatIndices: BidirectionalVector
using LinearAlgebra
@test isempty(detect_ambiguities(OffsetArrays, Base, Core))
@testset "IdOffsetRange" begin
function same_value(r1, r2)
length(r1) == length(r2)... | 34.585947 | 143 | 0.558716 | [
"@testset \"IdOffsetRange\" begin\n function same_value(r1, r2)\n length(r1) == length(r2) || return false\n for (v1, v2) in zip(r1, r2)\n v1 == v2 || return false\n end\n return true\n end\n function check_indexed_by(r, rindx)\n for i in rindx\n r[i... |
73f2ebf739cc0aaf6d400d219f078be54095c063 | 14,729 | jl | Julia | test/stochastic_solutions_tests.jl | JuliaGNI/StochasticIntegrators.jl | 4751d4c89ae8a43f4e59a56c16573f13737ad2a2 | [
"MIT"
] | 1 | 2021-06-26T18:51:38.000Z | 2021-06-26T18:51:38.000Z | test/stochastic_solutions_tests.jl | JuliaGNI/StochasticIntegrators.jl | 4751d4c89ae8a43f4e59a56c16573f13737ad2a2 | [
"MIT"
] | 1 | 2021-03-01T11:59:14.000Z | 2021-03-01T11:59:16.000Z | test/stochastic_solutions_tests.jl | JuliaGNI/StochasticIntegrators.jl | 4751d4c89ae8a43f4e59a56c16573f13737ad2a2 | [
"MIT"
] | null | null | null |
using StochasticIntegrators
using GeometricProblems.KuboOscillator
using Test
nd = 3
ns = 5
nt = 10
Δt = .1
dt = Float64
t0 = 0.
x0 = rand(2)
y0 = rand(2)
q0 = rand(1)
p0 = rand(1)
t1 = 1.
x1 = rand(2, ns)
y1 = rand(2, ns)
q1 = rand(1, ns)
p1 = rand(1, ns)
t2 = t1 + (t1-t0)
x2 ... | 27.175277 | 82 | 0.544232 | [
"@testset \"$(rpad(\"Wiener Process\",80))\" begin\n\n wp = WienerProcess(dt, 1, nt, 1, Δt, :strong)\n @test wp == WienerProcess(Δt, wp.ΔW[:], wp.ΔZ[:], :strong)\n @test ndims(wp) == 2\n\n wp = WienerProcess(dt, 1, nt, 1, Δt, :weak)\n @test wp == WienerProcess(Δt, wp.ΔW[:], wp.ΔZ[:], :weak)\n @t... |
73f4d46d9aa71c4419775e14d31c8ba7f858dca4 | 21,661 | jl | Julia | test/data.jl | roualdes/DataFrames.jl | b7ece34633bc24afe9e8b4a1a6b27016c6ffe06c | [
"MIT"
] | null | null | null | test/data.jl | roualdes/DataFrames.jl | b7ece34633bc24afe9e8b4a1a6b27016c6ffe06c | [
"MIT"
] | null | null | null | test/data.jl | roualdes/DataFrames.jl | b7ece34633bc24afe9e8b4a1a6b27016c6ffe06c | [
"MIT"
] | null | null | null | module TestData
using Test, DataFrames, Random, Statistics, CategoricalArrays
const ≅ = isequal
@testset "constructors" begin
df1 = DataFrame([[1, 2, missing, 4], ["one", "two", missing, "four"]], [:Ints, :Strs])
df2 = DataFrame([[1, 2, missing, 4], ["one", "two", missing, "four"]], :auto)
df3 = DataFrame... | 40.187384 | 106 | 0.485989 | [
"@testset \"constructors\" begin\n df1 = DataFrame([[1, 2, missing, 4], [\"one\", \"two\", missing, \"four\"]], [:Ints, :Strs])\n df2 = DataFrame([[1, 2, missing, 4], [\"one\", \"two\", missing, \"four\"]], :auto)\n df3 = DataFrame([[1, 2, missing, 4]], :auto)\n df6 = DataFrame([[1, 2, missing, 4], [1, ... |
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