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1.5.0-DEV-7206b56e94.log
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Julia Version 1.5.0-DEV.485
Commit 7206b56e94 (2020-03-18 17:25 UTC)
Platform Info:
OS: Linux (x86_64-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 SortingAlgorithms ──────────── v0.3.1
Installed PDMats ─────────────────────── v0.9.12
Installed Rmath_jll ──────────────────── v0.2.2+0
Installed Arpack_jll ─────────────────── v3.5.0+2
Installed DistributionsAD ────────────── v0.4.6
Installed FunctionWrappers ───────────── v1.1.1
Installed FFTW ───────────────────────── v1.2.0
Installed Distributions ──────────────── v0.22.6
Installed Adapt ──────────────────────── v1.0.1
Installed QuadGK ─────────────────────── v2.3.1
Installed ZygoteRules ────────────────── v0.2.0
Installed DiffResults ────────────────── v1.0.2
Installed Tracker ────────────────────── v0.2.6
Installed StatsFuns ──────────────────── v0.9.4
Installed Combinatorics ──────────────── v0.7.0
Installed StaticArrays ───────────────── v0.12.1
Installed StatsBase ──────────────────── v0.32.2
Installed CommonSubexpressions ───────── v0.2.0
Installed OpenBLAS_jll ───────────────── v0.3.7+7
Installed NaNMath ────────────────────── v0.3.3
Installed CompilerSupportLibraries_jll ─ v0.3.0+0
Installed Reexport ───────────────────── v0.2.0
Installed Rmath ──────────────────────── v0.6.1
Installed RecipesBase ────────────────── v0.8.0
Installed SpecialFunctions ───────────── v0.10.0
Installed DataStructures ─────────────── v0.17.10
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed BinaryProvider ─────────────── v0.5.8
Installed DataAPI ────────────────────── v1.1.0
Installed Missings ───────────────────── v0.4.3
Installed AbstractFFTs ───────────────── v0.5.0
Installed FFTW_jll ───────────────────── v3.3.9+4
Installed IntelOpenMP_jll ────────────── v2018.0.3+0
Installed Requires ───────────────────── v1.0.1
Installed Polynomials ────────────────── v0.6.1
Installed ArrayLayouts ───────────────── v0.1.5
Installed MKL_jll ────────────────────── v2019.0.117+2
Installed ReverseDiff ────────────────── v1.1.0
Installed MacroTools ─────────────────── v0.5.4
Installed Arpack ─────────────────────── v0.4.0
Installed Compat ─────────────────────── v3.8.0
Installed OrderedCollections ─────────── v1.1.0
Installed DiffRules ──────────────────── v1.0.1
Installed IRTools ────────────────────── v0.3.1
Installed Zygote ─────────────────────── v0.4.10
Installed NNlib ──────────────────────── v0.6.6
Installed ForwardDiff ────────────────── v0.10.9
Installed FillArrays ─────────────────── v0.8.5
#=#=# ######################################################################## 100.0%
#=#=# ######################################################################## 100.0%
#=#=# 0.4%### 4.5%####### 10.7%############ 17.8%#################### 28.3%############################ 40.1%############################## 42.0%########################################### 60.7%######################################################### 79.3%######################################################################## 100.0%
#=#=# #### 5.7%############ 16.9%####################### 32.2%######################################### 57.4%######################################################## 77.8%######################################################################## 100.0%
#=#=# ########## 14.0%######################################################################## 100.0%
#=#=# # 2.2%########################################### 60.4%######################################################################## 100.0%
#=#=# ##O#- # ################################################ 66.7%######################################################################## 100.0%
Updating `~/.julia/environments/v1.5/Project.toml`
ced4e74d + DistributionsAD v0.4.6
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+2
4c555306 + ArrayLayouts v0.1.5
b99e7846 + BinaryProvider v0.5.8
861a8166 + Combinatorics v0.7.0
bbf7d656 + CommonSubexpressions v0.2.0
34da2185 + Compat v3.8.0
e66e0078 + CompilerSupportLibraries_jll v0.3.0+0
9a962f9c + DataAPI v1.1.0
864edb3b + DataStructures v0.17.10
163ba53b + DiffResults v1.0.2
b552c78f + DiffRules v1.0.1
31c24e10 + Distributions v0.22.6
ced4e74d + DistributionsAD v0.4.6
7a1cc6ca + FFTW v1.2.0
f5851436 + FFTW_jll v3.3.9+4
1a297f60 + FillArrays v0.8.5
f6369f11 + ForwardDiff v0.10.9
069b7b12 + FunctionWrappers v1.1.1
7869d1d1 + IRTools v0.3.1
1d5cc7b8 + IntelOpenMP_jll v2018.0.3+0
856f044c + MKL_jll v2019.0.117+2
1914dd2f + MacroTools v0.5.4
e1d29d7a + Missings v0.4.3
872c559c + NNlib v0.6.6
77ba4419 + NaNMath v0.3.3
4536629a + OpenBLAS_jll v0.3.7+7
efe28fd5 + OpenSpecFun_jll v0.5.3+3
bac558e1 + OrderedCollections v1.1.0
90014a1f + PDMats v0.9.12
f27b6e38 + Polynomials v0.6.1
1fd47b50 + QuadGK v2.3.1
3cdcf5f2 + RecipesBase v0.8.0
189a3867 + Reexport v0.2.0
ae029012 + Requires v1.0.1
37e2e3b7 + ReverseDiff v1.1.0
79098fc4 + Rmath v0.6.1
f50d1b31 + Rmath_jll v0.2.2+0
a2af1166 + SortingAlgorithms v0.3.1
276daf66 + SpecialFunctions v0.10.0
90137ffa + StaticArrays v0.12.1
2913bbd2 + StatsBase v0.32.2
4c63d2b9 + StatsFuns v0.9.4
9f7883ad + Tracker v0.2.6
e88e6eb3 + Zygote v0.4.10
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 FFTW ─→ `~/.julia/packages/FFTW/qqcBj/deps/build.log`
Building NNlib → `~/.julia/packages/NNlib/FAI3o/deps/build.log`
Testing DistributionsAD
Status `/tmp/jl_J83Iz6/Project.toml`
861a8166 Combinatorics v0.7.0
34da2185 Compat v3.8.0
b552c78f DiffRules v1.0.1
31c24e10 Distributions v0.22.6
ced4e74d DistributionsAD v0.4.6
1a297f60 FillArrays v0.8.5
26cc04aa FiniteDifferences v0.9.2
f6369f11 ForwardDiff v0.10.9
90014a1f PDMats v0.9.12
37e2e3b7 ReverseDiff v1.1.0
276daf66 SpecialFunctions v0.10.0
2913bbd2 StatsBase v0.32.2
4c63d2b9 StatsFuns v0.9.4
9f7883ad Tracker v0.2.6
e88e6eb3 Zygote v0.4.10
700de1a5 ZygoteRules v0.2.0
37e2e46d LinearAlgebra
9a3f8284 Random
8dfed614 Test
Status `/tmp/jl_J83Iz6/Manifest.toml`
621f4979 AbstractFFTs v0.5.0
79e6a3ab Adapt v1.0.1
7d9fca2a Arpack v0.4.0
68821587 Arpack_jll v3.5.0+2
4c555306 ArrayLayouts v0.1.5
b99e7846 BinaryProvider v0.5.8
861a8166 Combinatorics v0.7.0
bbf7d656 CommonSubexpressions v0.2.0
34da2185 Compat v3.8.0
e66e0078 CompilerSupportLibraries_jll v0.3.0+0
9a962f9c DataAPI v1.1.0
864edb3b DataStructures v0.17.10
163ba53b DiffResults v1.0.2
b552c78f DiffRules v1.0.1
31c24e10 Distributions v0.22.6
ced4e74d DistributionsAD v0.4.6
7a1cc6ca FFTW v1.2.0
f5851436 FFTW_jll v3.3.9+4
1a297f60 FillArrays v0.8.5
26cc04aa FiniteDifferences v0.9.2
f6369f11 ForwardDiff v0.10.9
069b7b12 FunctionWrappers v1.1.1
7869d1d1 IRTools v0.3.1
1d5cc7b8 IntelOpenMP_jll v2018.0.3+0
856f044c MKL_jll v2019.0.117+2
1914dd2f MacroTools v0.5.4
e1d29d7a Missings v0.4.3
872c559c NNlib v0.6.6
77ba4419 NaNMath v0.3.3
4536629a OpenBLAS_jll v0.3.7+7
efe28fd5 OpenSpecFun_jll v0.5.3+3
bac558e1 OrderedCollections v1.1.0
90014a1f PDMats v0.9.12
f27b6e38 Polynomials v0.6.1
1fd47b50 QuadGK v2.3.1
3cdcf5f2 RecipesBase v0.8.0
189a3867 Reexport v0.2.0
ae029012 Requires v1.0.1
37e2e3b7 ReverseDiff v1.1.0
79098fc4 Rmath v0.6.1
f50d1b31 Rmath_jll v0.2.2+0
a2af1166 SortingAlgorithms v0.3.1
276daf66 SpecialFunctions v0.10.0
90137ffa StaticArrays v0.12.1
2913bbd2 StatsBase v0.32.2
4c63d2b9 StatsFuns v0.9.4
9f7883ad Tracker v0.2.6
e88e6eb3 Zygote v0.4.10
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/GvgiL/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
└ end
┌ Info: Testing: (a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:87 =#
│ BetaBinomial(10, a, b)
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:89 =#
│ Binomial(10, p)
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:90 =#
│ Binomial(10, p)
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
└ end
┌ Info: Testing: p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/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/GvgiL/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/GvgiL/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/GvgiL/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/GvgiL/test/distributions.jl:350 =#
│ Multinomial(2, p / sum(p))
└ end
┌ Info: Testing: (var"##x#261",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#261"), 2)
└ end
┌ Info: Testing: (var"##x#262",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#262"), 2)
└ end
┌ Info: Testing: (var"##x#263", var"##x#264")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#263", var"##x#264"), 2)
└ end
┌ Info: Testing: (var"##x#265",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#265"), 2)
└ end
┌ Info: Testing: (var"##x#266",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#266"), 2)
└ end
┌ Info: Testing: (var"##x#267",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Geometric(var"##x#267"), 2)
└ end
┌ Info: Testing: (var"##x#268", var"##x#269")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(NegativeBinomial(var"##x#268", var"##x#269"), 2)
└ end
┌ Info: Testing: (var"##x#270",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Poisson(var"##x#270"), 2)
└ end
┌ Info: Testing: (var"##x#271", var"##x#272")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Skellam(var"##x#271", var"##x#272"), 2)
└ end
┌ Info: Testing: (var"##x#273",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(PoissonBinomial(var"##x#273"), 2)
└ end
┌ Info: Testing: (var"##x#274",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(TuringPoissonBinomial(var"##x#274"), 2)
└ end
┌ Info: Testing: (var"##x#275",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#275"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#276",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#276"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#277", var"##x#278")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#277", var"##x#278"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#279",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#279"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#280",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#280"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#281",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Geometric(var"##x#281"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#282", var"##x#283")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(NegativeBinomial(var"##x#282", var"##x#283"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#284",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Poisson(var"##x#284"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#285", var"##x#286")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Skellam(var"##x#285", var"##x#286"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#287",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(PoissonBinomial(var"##x#287"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#288",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(TuringPoissonBinomial(var"##x#288"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#289",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#289"), 2)
└ end
┌ Info: Testing: (var"##x#290",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Bernoulli(var"##x#290"), 2)
└ end
┌ Info: Testing: (var"##x#291", var"##x#292")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#291", var"##x#292"), 2)
└ end
┌ Info: Testing: (var"##x#293",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#293"), 2)
└ end
┌ Info: Testing: (var"##x#294",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#294"), 2)
└ end
┌ Info: Testing: (var"##x#295",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Geometric(var"##x#295"), 2)
└ end
┌ Info: Testing: (var"##x#296", var"##x#297")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(NegativeBinomial(var"##x#296", var"##x#297"), 2)
└ end
┌ Info: Testing: (var"##x#298",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Poisson(var"##x#298"), 2)
└ end
┌ Info: Testing: (var"##x#299", var"##x#300")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Skellam(var"##x#299", var"##x#300"), 2)
└ end
┌ Info: Testing: (var"##x#301",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(PoissonBinomial(var"##x#301"), 2)
└ end
┌ Info: Testing: (var"##x#302",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(TuringPoissonBinomial(var"##x#302"), 2)
└ end
┌ Info: Testing: (var"##x#303",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#303"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#304",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Bernoulli(var"##x#304"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#305", var"##x#306")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:86 =#
│ BetaBinomial(10, a, b)
│ end))(var"##x#305", var"##x#306"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#307",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:89 =#
│ Binomial(10, p)
│ end))(var"##x#307"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#308",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((p->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:92 =#
│ Categorical(p / sum(p))
│ end))(var"##x#308"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#309",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Geometric(var"##x#309"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#310", var"##x#311")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(NegativeBinomial(var"##x#310", var"##x#311"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#312",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Poisson(var"##x#312"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#313", var"##x#314")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Skellam(var"##x#313", var"##x#314"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#315",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(PoissonBinomial(var"##x#315"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#316",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(TuringPoissonBinomial(var"##x#316"), 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/GvgiL/test/distributions.jl:22 =#
│ filldist(Arcsine(), 2)
└ end
┌ Info: Testing: (var"##x#317",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Arcsine(var"##x#317"), 2)
└ end
┌ Info: Testing: (var"##x#318", var"##x#319")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Arcsine(var"##x#318", var"##x#319"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Beta(), 2)
└ end
┌ Info: Testing: (var"##x#320",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Beta(var"##x#320"), 2)
└ end
┌ Info: Testing: (var"##x#321", var"##x#322")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Beta(var"##x#321", var"##x#322"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(BetaPrime(), 2)
└ end
┌ Info: Testing: (var"##x#323",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(BetaPrime(var"##x#323"), 2)
└ end
┌ Info: Testing: (var"##x#324", var"##x#325")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(BetaPrime(var"##x#324", var"##x#325"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Biweight(), 2)
└ end
┌ Info: Testing: (var"##x#326",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Biweight(var"##x#326"), 2)
└ end
┌ Info: Testing: (var"##x#327", var"##x#328")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Biweight(var"##x#327", var"##x#328"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Cauchy(), 2)
└ end
┌ Info: Testing: (var"##x#329",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Cauchy(var"##x#329"), 2)
└ end
┌ Info: Testing: (var"##x#330", var"##x#331")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Cauchy(var"##x#330", var"##x#331"), 2)
└ end
┌ Info: Testing: (var"##x#332",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Chi(var"##x#332"), 2)
└ end
┌ Info: Testing: (var"##x#333",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Chisq(var"##x#333"), 2)
└ end
┌ Info: Testing: (var"##x#334", var"##x#335")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Cosine(var"##x#334", var"##x#335"), 2)
└ end
┌ Info: Testing: (var"##x#336", var"##x#337")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Epanechnikov(var"##x#336", var"##x#337"), 2)
└ end
┌ Info: Testing: (var"##x#338",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(((s->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:162 =#
│ Erlang(1, s)
│ end))(var"##x#338"), 2)
└ end
┌ Info: Testing: (var"##x#339",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Exponential(var"##x#339"), 2)
└ end
┌ Info: Testing: (var"##x#340", var"##x#341")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(FDist(var"##x#340", var"##x#341"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Frechet(), 2)
└ end
┌ Info: Testing: (var"##x#342",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Frechet(var"##x#342"), 2)
└ end
┌ Info: Testing: (var"##x#343", var"##x#344")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Frechet(var"##x#343", var"##x#344"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Gamma(), 2)
└ end
┌ Info: Testing: (var"##x#345",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Gamma(var"##x#345"), 2)
└ end
┌ Info: Testing: (var"##x#346", var"##x#347")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Gamma(var"##x#346", var"##x#347"), 2)
└ end
┌ Info: Testing: (var"##x#348", var"##x#349", var"##x#350")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(GeneralizedExtremeValue(var"##x#348", var"##x#349", var"##x#350"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(GeneralizedPareto(), 2)
└ end
┌ Info: Testing: (var"##x#351", var"##x#352")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(GeneralizedPareto(var"##x#351", var"##x#352"), 2)
└ end
┌ Info: Testing: (var"##x#353", var"##x#354", var"##x#355")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(GeneralizedPareto(var"##x#353", var"##x#354", var"##x#355"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Gumbel(), 2)
└ end
┌ Info: Testing: (var"##x#356",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Gumbel(var"##x#356"), 2)
└ end
┌ Info: Testing: (var"##x#357", var"##x#358")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Gumbel(var"##x#357", var"##x#358"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(InverseGamma(), 2)
└ end
┌ Info: Testing: (var"##x#359",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(InverseGamma(var"##x#359"), 2)
└ end
┌ Info: Testing: (var"##x#360", var"##x#361")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(InverseGamma(var"##x#360", var"##x#361"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(InverseGaussian(), 2)
└ end
┌ Info: Testing: (var"##x#362",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(InverseGaussian(var"##x#362"), 2)
└ end
┌ Info: Testing: (var"##x#363", var"##x#364")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(InverseGaussian(var"##x#363", var"##x#364"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Kolmogorov(), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Laplace(), 2)
└ end
┌ Info: Testing: (var"##x#365",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Laplace(var"##x#365"), 2)
└ end
┌ Info: Testing: (var"##x#366", var"##x#367")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Laplace(var"##x#366", var"##x#367"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Levy(), 2)
└ end
┌ Info: Testing: (var"##x#368",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Levy(var"##x#368"), 2)
└ end
┌ Info: Testing: (var"##x#369", var"##x#370")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Levy(var"##x#369", var"##x#370"), 2)
└ end
┌ Info: Testing: (var"##x#371", var"##x#372")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist((((a, b)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:233 =#
│ LocationScale(a, b, Normal())
│ end))(var"##x#371", var"##x#372"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Logistic(), 2)
└ end
┌ Info: Testing: (var"##x#373",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Logistic(var"##x#373"), 2)
└ end
┌ Info: Testing: (var"##x#374", var"##x#375")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Logistic(var"##x#374", var"##x#375"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(LogitNormal(), 2)
└ end
┌ Info: Testing: (var"##x#376",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(LogitNormal(var"##x#376"), 2)
└ end
┌ Info: Testing: (var"##x#377", var"##x#378")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(LogitNormal(var"##x#377", var"##x#378"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(LogNormal(), 2)
└ end
┌ Info: Testing: (var"##x#379",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(LogNormal(var"##x#379"), 2)
└ end
┌ Info: Testing: (var"##x#380", var"##x#381")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(LogNormal(var"##x#380", var"##x#381"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Normal(), 2)
└ end
┌ Info: Testing: (var"##x#382",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Normal(var"##x#382"), 2)
└ end
┌ Info: Testing: (var"##x#383", var"##x#384")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Normal(var"##x#383", var"##x#384"), 2)
└ end
┌ Info: Testing: (var"##x#385", var"##x#386")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(NormalCanon(var"##x#385", var"##x#386"), 2)
└ end
┌ Info: Testing: (var"##x#387", var"##x#388", var"##x#389", var"##x#390")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(NormalInverseGaussian(var"##x#387", var"##x#388", var"##x#389", var"##x#390"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Pareto(), 2)
└ end
┌ Info: Testing: (var"##x#391",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Pareto(var"##x#391"), 2)
└ end
┌ Info: Testing: (var"##x#392", var"##x#393")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Pareto(var"##x#392", var"##x#393"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(PGeneralizedGaussian(), 2)
└ end
┌ Info: Testing: (var"##x#394", var"##x#395", var"##x#396")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(PGeneralizedGaussian(var"##x#394", var"##x#395", var"##x#396"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Rayleigh(), 2)
└ end
┌ Info: Testing: (var"##x#397",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Rayleigh(var"##x#397"), 2)
└ end
┌ Info: Testing: (var"##x#398",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Semicircle(var"##x#398"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(SymTriangularDist(), 2)
└ end
┌ Info: Testing: (var"##x#399",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(SymTriangularDist(var"##x#399"), 2)
└ end
┌ Info: Testing: (var"##x#400", var"##x#401")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(SymTriangularDist(var"##x#400", var"##x#401"), 2)
└ end
┌ Info: Testing: (var"##x#402",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(TDist(var"##x#402"), 2)
└ end
┌ Info: Testing: (var"##x#403", var"##x#404")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Triweight(var"##x#403", var"##x#404"), 2)
└ end
┌ Info: Testing: (var"##x#405", var"##x#406", var"##x#407", var"##x#408")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist((((mu, sigma, l, u)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:308 =#
│ truncated(Normal(mu, sigma), l, u)
│ end))(var"##x#405", var"##x#406", var"##x#407", var"##x#408"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Uniform(), 2)
└ end
┌ Info: Testing: (var"##x#409", var"##x#410")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Uniform(var"##x#409", var"##x#410"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(TuringUniform(), 2)
└ end
┌ Info: Testing: (var"##x#411", var"##x#412")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(TuringUniform(var"##x#411", var"##x#412"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Weibull(), 2)
└ end
┌ Info: Testing: (var"##x#413",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Weibull(var"##x#413"), 2)
└ end
┌ Info: Testing: (var"##x#414", var"##x#415")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:22 =#
│ filldist(Weibull(var"##x#414", var"##x#415"), 2)
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Arcsine(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#416",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Arcsine(var"##x#416"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#417", var"##x#418")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Arcsine(var"##x#417", var"##x#418"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Beta(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#419",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Beta(var"##x#419"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#420", var"##x#421")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Beta(var"##x#420", var"##x#421"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(BetaPrime(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#422",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(BetaPrime(var"##x#422"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#423", var"##x#424")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(BetaPrime(var"##x#423", var"##x#424"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Biweight(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#425",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Biweight(var"##x#425"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#426", var"##x#427")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Biweight(var"##x#426", var"##x#427"), prod((2,))), 2))
└ end
┌ Info: Testing: ()->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cauchy(), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#428",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cauchy(var"##x#428"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#429", var"##x#430")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cauchy(var"##x#429", var"##x#430"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#431",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Chi(var"##x#431"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#432",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Chisq(var"##x#432"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#433", var"##x#434")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Cosine(var"##x#433", var"##x#434"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#435", var"##x#436")->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Epanechnikov(var"##x#435", var"##x#436"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#437",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(((s->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:162 =#
│ Erlang(1, s)
│ end))(var"##x#437"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#438",)->begin
│ #= /home/pkgeval/.julia/packages/DistributionsAD/GvgiL/test/distributions.jl:26 =#
│ arraydist(reshape(fill(Exponential(var"##x#438"), prod((2,))), 2))
└ end
┌ Info: Testing: (var"##x#439", var"##x#440")->begin