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1.5.0-DEV-86ee57cdd7.log
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Julia Version 1.5.0-DEV.689
Commit 86ee57cdd7 (2020-04-25 20:17 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed Zlib_jll ───────────────────── v1.2.11+9
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed SortingAlgorithms ──────────── v0.3.1
Installed DistributionsAD ────────────── v0.5.0
Installed DiffResults ────────────────── v1.0.2
Installed Tracker ────────────────────── v0.2.6
Installed SpecialFunctions ───────────── v0.10.0
Installed DiffRules ──────────────────── v1.0.1
Installed Rmath ──────────────────────── v0.6.1
Installed CompilerSupportLibraries_jll ─ v0.3.3+0
Installed AbstractFFTs ───────────────── v0.5.0
Installed Missings ───────────────────── v0.4.3
Installed OpenBLAS_jll ───────────────── v0.3.9+2
Installed ForwardDiff ────────────────── v0.10.10
Installed EzXML ──────────────────────── v1.1.0
Installed BinaryProvider ─────────────── v0.5.8
Installed Zygote ─────────────────────── v0.4.17
Installed Combinatorics ──────────────── v1.0.1
Installed TimeZones ──────────────────── v1.1.1
Installed DataAPI ────────────────────── v1.2.0
Installed NaNMath ────────────────────── v0.3.3
Installed Libiconv_jll ───────────────── v1.16.0+2
Installed Requires ───────────────────── v1.0.1
Installed CommonSubexpressions ───────── v0.2.0
Installed DataStructures ─────────────── v0.17.13
Installed StaticArrays ───────────────── v0.12.2
Installed NNlib ──────────────────────── v0.6.6
Installed Polynomials ────────────────── v0.8.0
Installed Distributions ──────────────── v0.23.2
Installed ArrayLayouts ───────────────── v0.2.4
Installed ZygoteRules ────────────────── v0.2.0
Installed Rmath_jll ──────────────────── v0.2.2+0
Installed PDMats ─────────────────────── v0.9.12
Installed StatsBase ──────────────────── v0.33.0
Installed MacroTools ─────────────────── v0.5.5
Installed OrderedCollections ─────────── v1.1.0
Installed Adapt ──────────────────────── v1.0.1
Installed StatsFuns ──────────────────── v0.9.4
Installed Intervals ──────────────────── v1.1.0
Installed Compat ─────────────────────── v3.8.0
Installed Arpack ─────────────────────── v0.4.0
Installed ExprTools ──────────────────── v0.1.1
Installed Arpack_jll ─────────────────── v3.5.0+3
Installed XML2_jll ───────────────────── v2.9.9+4
Installed QuadGK ─────────────────────── v2.3.1
Installed RecipesBase ────────────────── v1.0.1
Installed IRTools ────────────────────── v0.3.2
Installed FillArrays ─────────────────── v0.8.7
Installed Mocking ────────────────────── v0.7.1
Updating `~/.julia/environments/v1.5/Project.toml`
[ced4e74d] + DistributionsAD v0.5.0
Updating `~/.julia/environments/v1.5/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[79e6a3ab] + Adapt v1.0.1
[7d9fca2a] + Arpack v0.4.0
[68821587] + Arpack_jll v3.5.0+3
[4c555306] + ArrayLayouts v0.2.4
[b99e7846] + BinaryProvider v0.5.8
[861a8166] + Combinatorics v1.0.1
[bbf7d656] + CommonSubexpressions v0.2.0
[34da2185] + Compat v3.8.0
[e66e0078] + CompilerSupportLibraries_jll v0.3.3+0
[9a962f9c] + DataAPI v1.2.0
[864edb3b] + DataStructures v0.17.13
[163ba53b] + DiffResults v1.0.2
[b552c78f] + DiffRules v1.0.1
[31c24e10] + Distributions v0.23.2
[ced4e74d] + DistributionsAD v0.5.0
[e2ba6199] + ExprTools v0.1.1
[8f5d6c58] + EzXML v1.1.0
[1a297f60] + FillArrays v0.8.7
[f6369f11] + ForwardDiff v0.10.10
[7869d1d1] + IRTools v0.3.2
[d8418881] + Intervals v1.1.0
[94ce4f54] + Libiconv_jll v1.16.0+2
[1914dd2f] + MacroTools v0.5.5
[e1d29d7a] + Missings v0.4.3
[78c3b35d] + Mocking v0.7.1
[872c559c] + NNlib v0.6.6
[77ba4419] + NaNMath v0.3.3
[4536629a] + OpenBLAS_jll v0.3.9+2
[efe28fd5] + OpenSpecFun_jll v0.5.3+3
[bac558e1] + OrderedCollections v1.1.0
[90014a1f] + PDMats v0.9.12
[f27b6e38] + Polynomials v0.8.0
[1fd47b50] + QuadGK v2.3.1
[3cdcf5f2] + RecipesBase v1.0.1
[ae029012] + Requires v1.0.1
[79098fc4] + Rmath v0.6.1
[f50d1b31] + Rmath_jll v0.2.2+0
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.10.0
[90137ffa] + StaticArrays v0.12.2
[2913bbd2] + StatsBase v0.33.0
[4c63d2b9] + StatsFuns v0.9.4
[f269a46b] + TimeZones v1.1.1
[9f7883ad] + Tracker v0.2.6
[02c8fc9c] + XML2_jll v2.9.9+4
[83775a58] + Zlib_jll v1.2.11+9
[e88e6eb3] + Zygote v0.4.17
[700de1a5] + ZygoteRules v0.2.0
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[4607b0f0] + SuiteSparse
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building TimeZones → `~/.julia/packages/TimeZones/X323b/deps/build.log`
Building NNlib ────→ `~/.julia/packages/NNlib/FAI3o/deps/build.log`
Testing DistributionsAD
Status `/tmp/jl_z7aDhs/Project.toml`
[861a8166] Combinatorics v1.0.1
[34da2185] Compat v3.8.0
[b552c78f] DiffRules v1.0.1
[31c24e10] Distributions v0.23.2
[ced4e74d] DistributionsAD v0.5.0
[1a297f60] FillArrays v0.8.7
[26cc04aa] FiniteDifferences v0.9.8
[f6369f11] ForwardDiff v0.10.10
[1914dd2f] MacroTools v0.5.5
[77ba4419] NaNMath v0.3.3
[90014a1f] PDMats v0.9.12
[ae029012] Requires v1.0.1
[37e2e3b7] ReverseDiff v1.2.0
[276daf66] SpecialFunctions v0.10.0
[90137ffa] StaticArrays v0.12.2
[2913bbd2] StatsBase v0.33.0
[4c63d2b9] StatsFuns v0.9.4
[9f7883ad] Tracker v0.2.6
[e88e6eb3] Zygote v0.4.17
[700de1a5] ZygoteRules v0.2.0
[37e2e46d] LinearAlgebra
[9a3f8284] Random
[8dfed614] Test
Status `/tmp/jl_z7aDhs/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[79e6a3ab] Adapt v1.0.1
[7d9fca2a] Arpack v0.4.0
[68821587] Arpack_jll v3.5.0+3
[4c555306] ArrayLayouts v0.2.4
[b99e7846] BinaryProvider v0.5.8
[861a8166] Combinatorics v1.0.1
[bbf7d656] CommonSubexpressions v0.2.0
[34da2185] Compat v3.8.0
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[9a962f9c] DataAPI v1.2.0
[864edb3b] DataStructures v0.17.13
[163ba53b] DiffResults v1.0.2
[b552c78f] DiffRules v1.0.1
[31c24e10] Distributions v0.23.2
[ced4e74d] DistributionsAD v0.5.0
[e2ba6199] ExprTools v0.1.1
[8f5d6c58] EzXML v1.1.0
[1a297f60] FillArrays v0.8.7
[26cc04aa] FiniteDifferences v0.9.8
[f6369f11] ForwardDiff v0.10.10
[069b7b12] FunctionWrappers v1.1.1
[7869d1d1] IRTools v0.3.2
[d8418881] Intervals v1.1.0
[94ce4f54] Libiconv_jll v1.16.0+2
[1914dd2f] MacroTools v0.5.5
[e1d29d7a] Missings v0.4.3
[78c3b35d] Mocking v0.7.1
[872c559c] NNlib v0.6.6
[77ba4419] NaNMath v0.3.3
[4536629a] OpenBLAS_jll v0.3.9+2
[efe28fd5] OpenSpecFun_jll v0.5.3+3
[bac558e1] OrderedCollections v1.1.0
[90014a1f] PDMats v0.9.12
[f27b6e38] Polynomials v0.8.0
[1fd47b50] QuadGK v2.3.1
[3cdcf5f2] RecipesBase v1.0.1
[ae029012] Requires v1.0.1
[37e2e3b7] ReverseDiff v1.2.0
[79098fc4] Rmath v0.6.1
[f50d1b31] Rmath_jll v0.2.2+0
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.10.0
[90137ffa] StaticArrays v0.12.2
[2913bbd2] StatsBase v0.33.0
[4c63d2b9] StatsFuns v0.9.4
[f269a46b] TimeZones v1.1.1
[9f7883ad] Tracker v0.2.6
[02c8fc9c] XML2_jll v2.9.9+4
[83775a58] Zlib_jll v1.2.11+9
[e88e6eb3] Zygote v0.4.17
[700de1a5] ZygoteRules v0.2.0
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[b77e0a4c] InteractiveUtils
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
WARNING: could not import Compiler.just_construct_ssa into Wrap
==================================================
Testing: Univariate discrete distributions
[ Info: Testing: Bernoulli
┌ Info: Testing: (a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
└ end
┌ Info: Testing: (a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:87 =#
│ BetaBinomial(10, a, b)
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:89 =#
│ Binomial(10, p)
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:90 =#
│ Binomial(10, p)
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:93 =#
│ Categorical(p / sum(p))
└ end
[ Info: Testing: Geometric
[ Info: Testing: NegativeBinomial
[ Info: Testing: Poisson
[ Info: Testing: Skellam
[ Info: Testing: PoissonBinomial
[ Info: Testing: TuringPoissonBinomial
Test Summary: | Pass Total
Univariate discrete distributions | 102 102
==================================================
Testing: Univariate continuous distributions
[ Info: Testing: Arcsine
[ Info: Testing: Beta
[ Info: Testing: BetaPrime
[ Info: Testing: Biweight
[ Info: Testing: Cauchy
[ Info: Testing: Chi
[ Info: Testing: Chisq
[ Info: Testing: Cosine
[ Info: Testing: Epanechnikov
┌ Info: Testing: s->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:162 =#
│ Erlang(1, s)
└ end
[ Info: Testing: Exponential
[ Info: Testing: FDist
[ Info: Testing: Frechet
[ Info: Testing: Gamma
[ Info: Testing: GeneralizedExtremeValue
[ Info: Testing: GeneralizedPareto
[ Info: Testing: Gumbel
[ Info: Testing: InverseGamma
[ Info: Testing: InverseGaussian
[ Info: Testing: Kolmogorov
[ Info: Testing: Laplace
[ Info: Testing: Levy
┌ Info: Testing: (a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:233 =#
│ LocationScale(a, b, Normal())
└ end
[ Info: Testing: Logistic
[ Info: Testing: LogitNormal
[ Info: Testing: LogNormal
[ Info: Testing: Normal
[ Info: Testing: NormalCanon
[ Info: Testing: NormalInverseGaussian
[ Info: Testing: Pareto
[ Info: Testing: PGeneralizedGaussian
[ Info: Testing: Rayleigh
[ Info: Testing: Semicircle
[ Info: Testing: SymTriangularDist
[ Info: Testing: TDist
[ Info: Testing: TriangularDist
[ Info: Testing: Triweight
┌ Info: Testing: (mu, sigma, l, u)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:308 =#
│ truncated(Normal(mu, sigma), l, u)
└ end
[ Info: Testing: Uniform
[ Info: Testing: TuringUniform
[ Info: Testing: VonMises
[ Info: Testing: Weibull
Test Summary: | Pass Total
Univariate continuous distributions | 1107 1107
==================================================
Testing: Multivariate discrete distributions
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:350 =#
│ Multinomial(2, p / sum(p))
└ end
┌ Info: Testing: (var"##x#410",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#410"), 2)
└ end
┌ Info: Testing: (var"##x#411",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#411"), 2)
└ end
┌ Info: Testing: (var"##x#412", var"##x#413")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#412", var"##x#413"), 2)
└ end
┌ Info: Testing: (var"##x#414",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#414"), 2)
└ end
┌ Info: Testing: (var"##x#415",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#415"), 2)
└ end
┌ Info: Testing: (var"##x#416",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Geometric(var"##x#416"), 2)
└ end
┌ Info: Testing: (var"##x#417", var"##x#418")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(NegativeBinomial(var"##x#417", var"##x#418"), 2)
└ end
┌ Info: Testing: (var"##x#419",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Poisson(var"##x#419"), 2)
└ end
┌ Info: Testing: (var"##x#420", var"##x#421")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Skellam(var"##x#420", var"##x#421"), 2)
└ end
┌ Info: Testing: (var"##x#422",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(PoissonBinomial(var"##x#422"), 2)
└ end
┌ Info: Testing: (var"##x#423",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(TuringPoissonBinomial(var"##x#423"), 2)
└ end
┌ Info: Testing: (var"##x#424",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#424"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#425",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#425"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#426", var"##x#427")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#426", var"##x#427"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#428",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#428"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#429",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#429"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#430",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Geometric(var"##x#430"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#431", var"##x#432")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(NegativeBinomial(var"##x#431", var"##x#432"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#433",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Poisson(var"##x#433"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#434", var"##x#435")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Skellam(var"##x#434", var"##x#435"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#436",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(PoissonBinomial(var"##x#436"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#437",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(TuringPoissonBinomial(var"##x#437"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#438",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#438"), 2)
└ end
┌ Info: Testing: (var"##x#439",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#439"), 2)
└ end
┌ Info: Testing: (var"##x#440", var"##x#441")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#440", var"##x#441"), 2)
└ end
┌ Info: Testing: (var"##x#442",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#442"), 2)
└ end
┌ Info: Testing: (var"##x#443",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#443"), 2)
└ end
┌ Info: Testing: (var"##x#444",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Geometric(var"##x#444"), 2)
└ end
┌ Info: Testing: (var"##x#445", var"##x#446")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(NegativeBinomial(var"##x#445", var"##x#446"), 2)
└ end
┌ Info: Testing: (var"##x#447",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Poisson(var"##x#447"), 2)
└ end
┌ Info: Testing: (var"##x#448", var"##x#449")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Skellam(var"##x#448", var"##x#449"), 2)
└ end
┌ Info: Testing: (var"##x#450",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(PoissonBinomial(var"##x#450"), 2)
└ end
┌ Info: Testing: (var"##x#451",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(TuringPoissonBinomial(var"##x#451"), 2)
└ end
┌ Info: Testing: (var"##x#452",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#452"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#453",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#453"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#454", var"##x#455")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#454", var"##x#455"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#456",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#456"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#457",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#457"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#458",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Geometric(var"##x#458"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#459", var"##x#460")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(NegativeBinomial(var"##x#459", var"##x#460"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#461",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Poisson(var"##x#461"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#462", var"##x#463")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Skellam(var"##x#462", var"##x#463"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#464",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(PoissonBinomial(var"##x#464"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#465",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(TuringPoissonBinomial(var"##x#465"), prod((2,))), 2))
└ end
Test Summary: | Pass Total
Multivariate discrete distributions | 207 207
==================================================
Testing: Multivariate continuous distributions
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Arcsine(), 2)
└ end
┌ Info: Testing: (var"##x#466",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Arcsine(var"##x#466"), 2)
└ end
┌ Info: Testing: (var"##x#467", var"##x#468")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Arcsine(var"##x#467", var"##x#468"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Beta(), 2)
└ end
┌ Info: Testing: (var"##x#469",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Beta(var"##x#469"), 2)
└ end
┌ Info: Testing: (var"##x#470", var"##x#471")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Beta(var"##x#470", var"##x#471"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(BetaPrime(), 2)
└ end
┌ Info: Testing: (var"##x#472",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(BetaPrime(var"##x#472"), 2)
└ end
┌ Info: Testing: (var"##x#473", var"##x#474")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(BetaPrime(var"##x#473", var"##x#474"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Biweight(), 2)
└ end
┌ Info: Testing: (var"##x#475",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Biweight(var"##x#475"), 2)
└ end
┌ Info: Testing: (var"##x#476", var"##x#477")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Biweight(var"##x#476", var"##x#477"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Cauchy(), 2)
└ end
┌ Info: Testing: (var"##x#478",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Cauchy(var"##x#478"), 2)
└ end
┌ Info: Testing: (var"##x#479", var"##x#480")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Cauchy(var"##x#479", var"##x#480"), 2)
└ end
┌ Info: Testing: (var"##x#481",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Chi(var"##x#481"), 2)
└ end
┌ Info: Testing: (var"##x#482",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Chisq(var"##x#482"), 2)
└ end
┌ Info: Testing: (var"##x#483", var"##x#484")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Cosine(var"##x#483", var"##x#484"), 2)
└ end
┌ Info: Testing: (var"##x#485", var"##x#486")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Epanechnikov(var"##x#485", var"##x#486"), 2)
└ end
┌ Info: Testing: (var"##x#487",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(((s->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:162 =#
│ Erlang(1, s)
│ end))(var"##x#487"), 2)
└ end
┌ Info: Testing: (var"##x#488",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Exponential(var"##x#488"), 2)
└ end
┌ Info: Testing: (var"##x#489", var"##x#490")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(FDist(var"##x#489", var"##x#490"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Frechet(), 2)
└ end
┌ Info: Testing: (var"##x#491",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Frechet(var"##x#491"), 2)
└ end
┌ Info: Testing: (var"##x#492", var"##x#493")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Frechet(var"##x#492", var"##x#493"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Gamma(), 2)
└ end
┌ Info: Testing: (var"##x#494",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Gamma(var"##x#494"), 2)
└ end
┌ Info: Testing: (var"##x#495", var"##x#496")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Gamma(var"##x#495", var"##x#496"), 2)
└ end
┌ Info: Testing: (var"##x#497", var"##x#498", var"##x#499")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(GeneralizedExtremeValue(var"##x#497", var"##x#498", var"##x#499"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(GeneralizedPareto(), 2)
└ end
┌ Info: Testing: (var"##x#500", var"##x#501")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(GeneralizedPareto(var"##x#500", var"##x#501"), 2)
└ end
┌ Info: Testing: (var"##x#502", var"##x#503", var"##x#504")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(GeneralizedPareto(var"##x#502", var"##x#503", var"##x#504"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Gumbel(), 2)
└ end
┌ Info: Testing: (var"##x#505",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Gumbel(var"##x#505"), 2)
└ end
┌ Info: Testing: (var"##x#506", var"##x#507")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Gumbel(var"##x#506", var"##x#507"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(InverseGamma(), 2)
└ end
┌ Info: Testing: (var"##x#508",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(InverseGamma(var"##x#508"), 2)
└ end
┌ Info: Testing: (var"##x#509", var"##x#510")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(InverseGamma(var"##x#509", var"##x#510"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(InverseGaussian(), 2)
└ end
┌ Info: Testing: (var"##x#511",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(InverseGaussian(var"##x#511"), 2)
└ end
┌ Info: Testing: (var"##x#512", var"##x#513")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(InverseGaussian(var"##x#512", var"##x#513"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Kolmogorov(), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Laplace(), 2)
└ end
┌ Info: Testing: (var"##x#514",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Laplace(var"##x#514"), 2)
└ end
┌ Info: Testing: (var"##x#515", var"##x#516")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Laplace(var"##x#515", var"##x#516"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Levy(), 2)
└ end
┌ Info: Testing: (var"##x#517",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Levy(var"##x#517"), 2)
└ end
┌ Info: Testing: (var"##x#518", var"##x#519")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Levy(var"##x#518", var"##x#519"), 2)
└ end
┌ Info: Testing: (var"##x#520", var"##x#521")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:233 =#
│ LocationScale(a, b, Normal())
│ end))(var"##x#520", var"##x#521"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Logistic(), 2)
└ end
┌ Info: Testing: (var"##x#522",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Logistic(var"##x#522"), 2)
└ end
┌ Info: Testing: (var"##x#523", var"##x#524")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Logistic(var"##x#523", var"##x#524"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(LogitNormal(), 2)
└ end
┌ Info: Testing: (var"##x#525",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(LogitNormal(var"##x#525"), 2)
└ end
┌ Info: Testing: (var"##x#526", var"##x#527")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(LogitNormal(var"##x#526", var"##x#527"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(LogNormal(), 2)
└ end
┌ Info: Testing: (var"##x#528",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(LogNormal(var"##x#528"), 2)
└ end
┌ Info: Testing: (var"##x#529", var"##x#530")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(LogNormal(var"##x#529", var"##x#530"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Normal(), 2)
└ end
┌ Info: Testing: (var"##x#531",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Normal(var"##x#531"), 2)
└ end
┌ Info: Testing: (var"##x#532", var"##x#533")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Normal(var"##x#532", var"##x#533"), 2)
└ end
┌ Info: Testing: (var"##x#534", var"##x#535")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(NormalCanon(var"##x#534", var"##x#535"), 2)
└ end
┌ Info: Testing: (var"##x#536", var"##x#537", var"##x#538", var"##x#539")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(NormalInverseGaussian(var"##x#536", var"##x#537", var"##x#538", var"##x#539"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Pareto(), 2)
└ end
┌ Info: Testing: (var"##x#540",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Pareto(var"##x#540"), 2)
└ end
┌ Info: Testing: (var"##x#541", var"##x#542")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Pareto(var"##x#541", var"##x#542"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(PGeneralizedGaussian(), 2)
└ end
┌ Info: Testing: (var"##x#543", var"##x#544", var"##x#545")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(PGeneralizedGaussian(var"##x#543", var"##x#544", var"##x#545"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Rayleigh(), 2)
└ end
┌ Info: Testing: (var"##x#546",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Rayleigh(var"##x#546"), 2)
└ end
┌ Info: Testing: (var"##x#547",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Semicircle(var"##x#547"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(SymTriangularDist(), 2)
└ end
┌ Info: Testing: (var"##x#548",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(SymTriangularDist(var"##x#548"), 2)
└ end
┌ Info: Testing: (var"##x#549", var"##x#550")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(SymTriangularDist(var"##x#549", var"##x#550"), 2)
└ end
┌ Info: Testing: (var"##x#551",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(TDist(var"##x#551"), 2)
└ end
┌ Info: Testing: (var"##x#552", var"##x#553")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Triweight(var"##x#552", var"##x#553"), 2)
└ end
┌ Info: Testing: (var"##x#554", var"##x#555", var"##x#556", var"##x#557")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist((((mu, sigma, l, u)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:308 =#
│ truncated(Normal(mu, sigma), l, u)
│ end))(var"##x#554", var"##x#555", var"##x#556", var"##x#557"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Uniform(), 2)
└ end
┌ Info: Testing: (var"##x#558", var"##x#559")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Uniform(var"##x#558", var"##x#559"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(TuringUniform(), 2)
└ end
┌ Info: Testing: (var"##x#560", var"##x#561")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(TuringUniform(var"##x#560", var"##x#561"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Weibull(), 2)
└ end
┌ Info: Testing: (var"##x#562",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Weibull(var"##x#562"), 2)
└ end
┌ Info: Testing: (var"##x#563", var"##x#564")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:22 =#
│ filldist(Weibull(var"##x#563", var"##x#564"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Arcsine(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#565",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Arcsine(var"##x#565"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#566", var"##x#567")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Arcsine(var"##x#566", var"##x#567"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Beta(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#568",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Beta(var"##x#568"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#569", var"##x#570")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Beta(var"##x#569", var"##x#570"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(BetaPrime(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#571",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(BetaPrime(var"##x#571"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#572", var"##x#573")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(BetaPrime(var"##x#572", var"##x#573"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Biweight(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#574",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Biweight(var"##x#574"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#575", var"##x#576")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Biweight(var"##x#575", var"##x#576"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cauchy(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#577",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cauchy(var"##x#577"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#578", var"##x#579")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cauchy(var"##x#578", var"##x#579"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#580",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Chi(var"##x#580"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#581",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Chisq(var"##x#581"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#582", var"##x#583")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cosine(var"##x#582", var"##x#583"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#584", var"##x#585")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Epanechnikov(var"##x#584", var"##x#585"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#586",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((s->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:162 =#
│ Erlang(1, s)
│ end))(var"##x#586"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#587",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/0NPGX/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Exponential(var"##x#587"), prod((2,))), 2))