ApproxBayes

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If you think that there is an error in how your package is being tested or represented, please file an issue at NewPkgEval.jl, making sure to read the FAQ first.

Results with Julia v1.2.0

Testing was successful. Last evaluation was ago and took 13 minutes, 29 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed DataAPI ──────────── v1.1.0
 Installed Missings ─────────── v0.4.3
 Installed PDMats ───────────── v0.9.10
 Installed URIParser ────────── v0.4.0
 Installed StatsFuns ────────── v0.9.0
 Installed ApproxBayes ──────── v0.3.1
 Installed BinaryProvider ───── v0.5.8
 Installed StatsBase ────────── v0.32.0
 Installed Compat ───────────── v2.2.0
 Installed Rmath ────────────── v0.5.1
 Installed OrderedCollections ─ v1.1.0
 Installed RecipesBase ──────── v0.7.0
 Installed SortingAlgorithms ── v0.3.1
 Installed QuadGK ───────────── v2.1.1
 Installed DataStructures ───── v0.17.6
 Installed Distributions ────── v0.21.9
 Installed BinDeps ──────────── v0.8.10
 Installed SpecialFunctions ─── v0.8.0
 Installed Distances ────────── v0.8.2
 Installed ProgressMeter ────── v1.2.0
 Installed Arpack ───────────── v0.3.1
  Updating `~/.julia/environments/v1.2/Project.toml`
  [f5f396d3] + ApproxBayes v0.3.1
  Updating `~/.julia/environments/v1.2/Manifest.toml`
  [f5f396d3] + ApproxBayes v0.3.1
  [7d9fca2a] + Arpack v0.3.1
  [9e28174c] + BinDeps v0.8.10
  [b99e7846] + BinaryProvider v0.5.8
  [34da2185] + Compat v2.2.0
  [9a962f9c] + DataAPI v1.1.0
  [864edb3b] + DataStructures v0.17.6
  [b4f34e82] + Distances v0.8.2
  [31c24e10] + Distributions v0.21.9
  [e1d29d7a] + Missings v0.4.3
  [bac558e1] + OrderedCollections v1.1.0
  [90014a1f] + PDMats v0.9.10
  [92933f4c] + ProgressMeter v1.2.0
  [1fd47b50] + QuadGK v2.1.1
  [3cdcf5f2] + RecipesBase v0.7.0
  [79098fc4] + Rmath v0.5.1
  [a2af1166] + SortingAlgorithms v0.3.1
  [276daf66] + SpecialFunctions v0.8.0
  [2913bbd2] + StatsBase v0.32.0
  [4c63d2b9] + StatsFuns v0.9.0
  [30578b45] + URIParser v0.4.0
  [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 Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
  Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
  Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
   Testing ApproxBayes
 Resolving package versions...
 Installed Requires ────────── v0.5.2
 Installed Reexport ────────── v0.2.0
 Installed PlotUtils ───────── v0.6.1
 Installed Contour ─────────── v0.5.1
 Installed Plots ───────────── v0.28.2
 Installed GeometryTypes ───── v0.7.6
 Installed FixedPointNumbers ─ v0.6.1
 Installed Colors ──────────── v0.9.6
 Installed Parsers ─────────── v0.3.10
 Installed JSON ────────────── v0.21.0
 Installed FFMPEG ──────────── v0.2.3
 Installed IterTools ───────── v1.3.0
 Installed StaticArrays ────── v0.12.1
 Installed Measures ────────── v0.3.0
 Installed ColorTypes ──────── v0.8.0
 Installed NaNMath ─────────── v0.3.3
 Installed PlotThemes ──────── v1.0.0
 Installed GR ──────────────── v0.44.0
 Installed Showoff ─────────── v0.3.1
  Building GR ────→ `~/.julia/packages/GR/oiZD3/deps/build.log`
  Building FFMPEG → `~/.julia/packages/FFMPEG/bkWgb/deps/build.log`
  Building Plots ─→ `~/.julia/packages/Plots/2KhB2/deps/build.log`
    Status `/tmp/jl_kTEhdr/Manifest.toml`
  [f5f396d3] ApproxBayes v0.3.1
  [7d9fca2a] Arpack v0.3.1
  [9e28174c] BinDeps v0.8.10
  [b99e7846] BinaryProvider v0.5.8
  [3da002f7] ColorTypes v0.8.0
  [5ae59095] Colors v0.9.6
  [34da2185] Compat v2.2.0
  [d38c429a] Contour v0.5.1
  [9a962f9c] DataAPI v1.1.0
  [864edb3b] DataStructures v0.17.6
  [b4f34e82] Distances v0.8.2
  [31c24e10] Distributions v0.21.9
  [c87230d0] FFMPEG v0.2.3
  [53c48c17] FixedPointNumbers v0.6.1
  [28b8d3ca] GR v0.44.0
  [4d00f742] GeometryTypes v0.7.6
  [c8e1da08] IterTools v1.3.0
  [682c06a0] JSON v0.21.0
  [442fdcdd] Measures v0.3.0
  [e1d29d7a] Missings v0.4.3
  [77ba4419] NaNMath v0.3.3
  [bac558e1] OrderedCollections v1.1.0
  [90014a1f] PDMats v0.9.10
  [69de0a69] Parsers v0.3.10
  [ccf2f8ad] PlotThemes v1.0.0
  [995b91a9] PlotUtils v0.6.1
  [91a5bcdd] Plots v0.28.2
  [92933f4c] ProgressMeter v1.2.0
  [1fd47b50] QuadGK v2.1.1
  [3cdcf5f2] RecipesBase v0.7.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v0.5.2
  [79098fc4] Rmath v0.5.1
  [992d4aef] Showoff v0.3.1
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.8.0
  [90137ffa] StaticArrays v0.12.1
  [2913bbd2] StatsBase v0.32.0
  [4c63d2b9] StatsFuns v0.9.0
  [30578b45] URIParser v0.4.0
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [1a1011a3] SharedArrays  [`@stdlib/SharedArrays`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [4607b0f0] SuiteSparse  [`@stdlib/SuiteSparse`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]
Plots.GRBackend()
Running tests ...
* test_sampling.jl ...
  1.333870 seconds (10.04 M allocations: 277.031 MiB, 16.14% gc time)
  1.635444 seconds (10.02 M allocations: 291.076 MiB, 3.50% gc time)
* test_parameter.jl ...
Test parameters of normal distribution are inferred correctly (mean within 5% of true value)
Preparing to run in serial on 1 processor
	 Check ABC rejection algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Number of simulations: 1.07e+05
Acceptance ratio: 9.32e-04

Median (95% intervals):
Parameter 1: 1.99 (1.92,2.07)
Parameter 2: 0.42 (0.30,0.54)
#########################################

	 Check output is written to file
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
	 Check ABC SMC algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Total number of simulations: 3.33e+03
Cumulative number of simulations = [100, 398, 724, 1080, 1505, 2081, 2622, 3326]
Acceptance ratio: 3.01e-02
Tolerance schedule = [1.0, 0.71, 0.45, 0.3, 0.2, 0.13, 0.07, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.94,2.05)
Parameter 2: 0.41 (0.31,0.51)
#########################################

	 Check output is written to file
	 Check ABC SMC algorithm correctly infers parameters with gaussian perturbation kernel
	 Check ABC SMC is more efficient than ABC rejection
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
┌ Warning: Only accepted 2 particles with ϵ < 0.1. 
│ 	You may want to increase ϵ or increase maxiterations. 
│ 	 Resorting to taking the 100 particles with smallest distance
└ @ ApproxBayes ~/.julia/packages/ApproxBayes/EK19t/src/ABCalgorithm.jl:85
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
Total number of simulations: 2.43e+03
Cumulative number of simulations = [100, 436, 709, 1082, 1428, 1876, 2432]
Acceptance ratio: 4.11e-02
Tolerance schedule = [1.0, 0.71, 0.37, 0.23, 0.14, 0.08, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.94,2.05)
Parameter 2: 0.39 (0.32,0.50)

	 Check ABC SMC algorithm with gaussian perturbation kernel correctly infers parameters
* test_parameter_parallel.jl ...
Test parameters of normal distribution are inferred correctly (mean within 5% of true value)
Preparing to run in parallel on 1 processors
	 Check ABC rejection algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Number of simulations: 1.07e+05
Acceptance ratio: 9.30e-04

Median (95% intervals):
Parameter 1: 1.99 (1.92,2.07)
Parameter 2: 0.42 (0.30,0.54)
#########################################

	 Check output is written to file
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
	 Check ABC SMC algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Total number of simulations: 3.82e+03
Cumulative number of simulations = [101, 353, 845, 1363, 1862, 2362, 3028, 3817]
Acceptance ratio: 2.62e-02
Tolerance schedule = [1.0, 0.6, 0.33, 0.23, 0.14, 0.09, 0.06, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.95,2.03)
Parameter 2: 0.41 (0.35,0.46)
#########################################

	 Check output is written to file
	 Check ABC SMC is more efficient than ABC rejection
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
┌ Warning: Only accepted 0 particles with ϵ < 0.1. 
│ 	You may want to increase ϵ or increase maxiterations. 
│ 	 Resorting to taking the 100 particles with smallest distance
└ @ ApproxBayes ~/.julia/packages/ApproxBayes/EK19t/src/ABCalgorithm.jl:85
* test_bayesfactor.jl ...
Test Bayes factors are calculated correctly (within 5% of true value)
	 Checking ABC SMC model selection
 39.606150 seconds (59.20 M allocations: 8.975 GiB, 4.74% gc time)
	 Checking ABC rejection model selection
217.014149 seconds (163.62 M allocations: 15.360 GiB, 2.37% gc time)
	 Check no errors arising from plotting
* test_util.jl ...
448.443678 seconds (342.85 M allocations: 72.843 GiB, 3.83% gc time)
   Testing ApproxBayes tests passed 

Results with Julia v1.3.0

Testing was successful. Last evaluation was ago and took 13 minutes, 31 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed SortingAlgorithms ── v0.3.1
 Installed ProgressMeter ────── v1.2.0
 Installed StatsFuns ────────── v0.8.0
 Installed ApproxBayes ──────── v0.3.1
 Installed Arpack ───────────── v0.3.1
 Installed QuadGK ───────────── v2.1.1
 Installed DataStructures ───── v0.17.6
 Installed BinaryProvider ───── v0.5.8
 Installed Missings ─────────── v0.4.3
 Installed SpecialFunctions ─── v0.9.0
 Installed OrderedCollections ─ v1.1.0
 Installed Rmath ────────────── v0.6.0
 Installed RecipesBase ──────── v0.7.0
 Installed OpenSpecFun_jll ──── v0.5.3+1
 Installed DataAPI ──────────── v1.1.0
 Installed Distributions ────── v0.19.2
 Installed PDMats ───────────── v0.9.10
 Installed Distances ────────── v0.8.2
 Installed StatsBase ────────── v0.32.0
  Updating `~/.julia/environments/v1.3/Project.toml`
  [f5f396d3] + ApproxBayes v0.3.1
  Updating `~/.julia/environments/v1.3/Manifest.toml`
  [f5f396d3] + ApproxBayes v0.3.1
  [7d9fca2a] + Arpack v0.3.1
  [b99e7846] + BinaryProvider v0.5.8
  [9a962f9c] + DataAPI v1.1.0
  [864edb3b] + DataStructures v0.17.6
  [b4f34e82] + Distances v0.8.2
  [31c24e10] + Distributions v0.19.2
  [e1d29d7a] + Missings v0.4.3
  [efe28fd5] + OpenSpecFun_jll v0.5.3+1
  [bac558e1] + OrderedCollections v1.1.0
  [90014a1f] + PDMats v0.9.10
  [92933f4c] + ProgressMeter v1.2.0
  [1fd47b50] + QuadGK v2.1.1
  [3cdcf5f2] + RecipesBase v0.7.0
  [79098fc4] + Rmath v0.6.0
  [a2af1166] + SortingAlgorithms v0.3.1
  [276daf66] + SpecialFunctions v0.9.0
  [2913bbd2] + StatsBase v0.32.0
  [4c63d2b9] + StatsFuns v0.8.0
  [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 
  [6462fe0b] + Sockets 
  [2f01184e] + SparseArrays 
  [10745b16] + Statistics 
  [4607b0f0] + SuiteSparse 
  [8dfed614] + Test 
  [cf7118a7] + UUIDs 
  [4ec0a83e] + Unicode 
  Building Arpack → `~/.julia/packages/Arpack/cu5By/deps/build.log`
  Building Rmath ─→ `~/.julia/packages/Rmath/BoBag/deps/build.log`
   Testing ApproxBayes
 Resolving package versions...
 Installed Requires ────────── v0.5.2
 Installed PlotThemes ──────── v1.0.0
 Installed Plots ───────────── v0.28.2
 Installed Measures ────────── v0.3.0
 Installed ColorTypes ──────── v0.8.0
 Installed IterTools ───────── v1.3.0
 Installed GeometryTypes ───── v0.7.6
 Installed NaNMath ─────────── v0.3.3
 Installed Reexport ────────── v0.2.0
 Installed Contour ─────────── v0.5.1
 Installed FFMPEG ──────────── v0.2.3
 Installed FixedPointNumbers ─ v0.6.1
 Installed StaticArrays ────── v0.12.1
 Installed Colors ──────────── v0.9.6
 Installed Showoff ─────────── v0.3.1
 Installed Parsers ─────────── v0.3.10
 Installed JSON ────────────── v0.21.0
 Installed PlotUtils ───────── v0.6.1
 Installed GR ──────────────── v0.44.0
  Building GR ────→ `~/.julia/packages/GR/oiZD3/deps/build.log`
  Building FFMPEG → `~/.julia/packages/FFMPEG/bkWgb/deps/build.log`
  Building Plots ─→ `~/.julia/packages/Plots/2KhB2/deps/build.log`
    Status `/tmp/jl_Iq46Xc/Manifest.toml`
  [f5f396d3] ApproxBayes v0.3.1
  [7d9fca2a] Arpack v0.3.1
  [b99e7846] BinaryProvider v0.5.8
  [3da002f7] ColorTypes v0.8.0
  [5ae59095] Colors v0.9.6
  [d38c429a] Contour v0.5.1
  [9a962f9c] DataAPI v1.1.0
  [864edb3b] DataStructures v0.17.6
  [b4f34e82] Distances v0.8.2
  [31c24e10] Distributions v0.19.2
  [c87230d0] FFMPEG v0.2.3
  [53c48c17] FixedPointNumbers v0.6.1
  [28b8d3ca] GR v0.44.0
  [4d00f742] GeometryTypes v0.7.6
  [c8e1da08] IterTools v1.3.0
  [682c06a0] JSON v0.21.0
  [442fdcdd] Measures v0.3.0
  [e1d29d7a] Missings v0.4.3
  [77ba4419] NaNMath v0.3.3
  [efe28fd5] OpenSpecFun_jll v0.5.3+1
  [bac558e1] OrderedCollections v1.1.0
  [90014a1f] PDMats v0.9.10
  [69de0a69] Parsers v0.3.10
  [ccf2f8ad] PlotThemes v1.0.0
  [995b91a9] PlotUtils v0.6.1
  [91a5bcdd] Plots v0.28.2
  [92933f4c] ProgressMeter v1.2.0
  [1fd47b50] QuadGK v2.1.1
  [3cdcf5f2] RecipesBase v0.7.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v0.5.2
  [79098fc4] Rmath v0.6.0
  [992d4aef] Showoff v0.3.1
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.9.0
  [90137ffa] StaticArrays v0.12.1
  [2913bbd2] StatsBase v0.32.0
  [4c63d2b9] StatsFuns v0.8.0
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [4607b0f0] SuiteSparse  [`@stdlib/SuiteSparse`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│   caller = lstirling_asym(::BigFloat) at misc.jl:56
└ @ StatsFuns ~/.julia/packages/StatsFuns/2QE7p/src/misc.jl:56
Plots.GRBackend()
Running tests ...
* test_sampling.jl ...
  1.626334 seconds (10.04 M allocations: 276.580 MiB, 24.54% gc time)
  1.848386 seconds (10.01 M allocations: 294.766 MiB, 2.62% gc time)
* test_parameter.jl ...
Test parameters of normal distribution are inferred correctly (mean within 5% of true value)
Preparing to run in serial on 1 processor
	 Check ABC rejection algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Number of simulations: 1.07e+05
Acceptance ratio: 9.32e-04

Median (95% intervals):
Parameter 1: 1.99 (1.92,2.07)
Parameter 2: 0.42 (0.30,0.54)
#########################################

	 Check output is written to file
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
	 Check ABC SMC algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Total number of simulations: 3.33e+03
Cumulative number of simulations = [100, 398, 724, 1080, 1505, 2081, 2622, 3326]
Acceptance ratio: 3.01e-02
Tolerance schedule = [1.0, 0.71, 0.45, 0.3, 0.2, 0.13, 0.07, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.94,2.05)
Parameter 2: 0.41 (0.31,0.51)
#########################################

	 Check output is written to file
	 Check ABC SMC algorithm correctly infers parameters with gaussian perturbation kernel
	 Check ABC SMC is more efficient than ABC rejection
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
┌ Warning: Only accepted 2 particles with ϵ < 0.1. 
│ 	You may want to increase ϵ or increase maxiterations. 
│ 	 Resorting to taking the 100 particles with smallest distance
└ @ ApproxBayes ~/.julia/packages/ApproxBayes/EK19t/src/ABCalgorithm.jl:85
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
Total number of simulations: 2.43e+03
Cumulative number of simulations = [100, 436, 709, 1082, 1428, 1876, 2432]
Acceptance ratio: 4.11e-02
Tolerance schedule = [1.0, 0.71, 0.37, 0.23, 0.14, 0.08, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.94,2.05)
Parameter 2: 0.39 (0.32,0.50)

	 Check ABC SMC algorithm with gaussian perturbation kernel correctly infers parameters
* test_parameter_parallel.jl ...
Test parameters of normal distribution are inferred correctly (mean within 5% of true value)
Preparing to run in parallel on 1 processors
	 Check ABC rejection algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Number of simulations: 1.07e+05
Acceptance ratio: 9.30e-04

Median (95% intervals):
Parameter 1: 1.99 (1.92,2.07)
Parameter 2: 0.42 (0.30,0.54)
#########################################

	 Check output is written to file
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
	 Check ABC SMC algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Total number of simulations: 3.82e+03
Cumulative number of simulations = [101, 353, 845, 1363, 1862, 2362, 3028, 3817]
Acceptance ratio: 2.62e-02
Tolerance schedule = [1.0, 0.6, 0.33, 0.23, 0.14, 0.09, 0.06, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.95,2.03)
Parameter 2: 0.41 (0.35,0.46)
#########################################

	 Check output is written to file
	 Check ABC SMC is more efficient than ABC rejection
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
┌ Warning: Only accepted 0 particles with ϵ < 0.1. 
│ 	You may want to increase ϵ or increase maxiterations. 
│ 	 Resorting to taking the 100 particles with smallest distance
└ @ ApproxBayes ~/.julia/packages/ApproxBayes/EK19t/src/ABCalgorithm.jl:85
* test_bayesfactor.jl ...
Test Bayes factors are calculated correctly (within 5% of true value)
	 Checking ABC SMC model selection
 45.653986 seconds (59.10 M allocations: 8.964 GiB, 3.14% gc time)
	 Checking ABC rejection model selection
230.237925 seconds (163.58 M allocations: 16.735 GiB, 1.96% gc time)
	 Check no errors arising from plotting
* test_util.jl ...
475.624484 seconds (341.17 M allocations: 74.104 GiB, 2.77% gc time)
   Testing ApproxBayes tests passed 

Results with Julia v1.3.1-pre-7704df0a5a

Testing was successful. Last evaluation was ago and took 13 minutes, 58 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed OpenSpecFun_jll ──── v0.5.3+1
 Installed Missings ─────────── v0.4.3
 Installed ApproxBayes ──────── v0.3.1
 Installed QuadGK ───────────── v2.1.1
 Installed SpecialFunctions ─── v0.9.0
 Installed Arpack ───────────── v0.3.1
 Installed DataStructures ───── v0.17.6
 Installed StatsBase ────────── v0.32.0
 Installed StatsFuns ────────── v0.8.0
 Installed BinaryProvider ───── v0.5.8
 Installed ProgressMeter ────── v1.2.0
 Installed RecipesBase ──────── v0.7.0
 Installed Rmath ────────────── v0.6.0
 Installed Distances ────────── v0.8.2
 Installed DataAPI ──────────── v1.1.0
 Installed Distributions ────── v0.19.2
 Installed SortingAlgorithms ── v0.3.1
 Installed OrderedCollections ─ v1.1.0
 Installed PDMats ───────────── v0.9.10
  Updating `~/.julia/environments/v1.3/Project.toml`
  [f5f396d3] + ApproxBayes v0.3.1
  Updating `~/.julia/environments/v1.3/Manifest.toml`
  [f5f396d3] + ApproxBayes v0.3.1
  [7d9fca2a] + Arpack v0.3.1
  [b99e7846] + BinaryProvider v0.5.8
  [9a962f9c] + DataAPI v1.1.0
  [864edb3b] + DataStructures v0.17.6
  [b4f34e82] + Distances v0.8.2
  [31c24e10] + Distributions v0.19.2
  [e1d29d7a] + Missings v0.4.3
  [efe28fd5] + OpenSpecFun_jll v0.5.3+1
  [bac558e1] + OrderedCollections v1.1.0
  [90014a1f] + PDMats v0.9.10
  [92933f4c] + ProgressMeter v1.2.0
  [1fd47b50] + QuadGK v2.1.1
  [3cdcf5f2] + RecipesBase v0.7.0
  [79098fc4] + Rmath v0.6.0
  [a2af1166] + SortingAlgorithms v0.3.1
  [276daf66] + SpecialFunctions v0.9.0
  [2913bbd2] + StatsBase v0.32.0
  [4c63d2b9] + StatsFuns v0.8.0
  [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 
  [6462fe0b] + Sockets 
  [2f01184e] + SparseArrays 
  [10745b16] + Statistics 
  [4607b0f0] + SuiteSparse 
  [8dfed614] + Test 
  [cf7118a7] + UUIDs 
  [4ec0a83e] + Unicode 
  Building Arpack → `~/.julia/packages/Arpack/cu5By/deps/build.log`
  Building Rmath ─→ `~/.julia/packages/Rmath/BoBag/deps/build.log`
   Testing ApproxBayes
 Resolving package versions...
 Installed Plots ───────────── v0.28.2
 Installed StaticArrays ────── v0.12.1
 Installed Reexport ────────── v0.2.0
 Installed GeometryTypes ───── v0.7.6
 Installed IterTools ───────── v1.3.0
 Installed Colors ──────────── v0.9.6
 Installed ColorTypes ──────── v0.8.0
 Installed PlotUtils ───────── v0.6.1
 Installed FixedPointNumbers ─ v0.6.1
 Installed Showoff ─────────── v0.3.1
 Installed FFMPEG ──────────── v0.2.3
 Installed Contour ─────────── v0.5.1
 Installed Measures ────────── v0.3.0
 Installed PlotThemes ──────── v1.0.0
 Installed JSON ────────────── v0.21.0
 Installed Requires ────────── v0.5.2
 Installed NaNMath ─────────── v0.3.3
 Installed Parsers ─────────── v0.3.10
 Installed GR ──────────────── v0.44.0
  Building GR ────→ `~/.julia/packages/GR/oiZD3/deps/build.log`
  Building FFMPEG → `~/.julia/packages/FFMPEG/bkWgb/deps/build.log`
  Building Plots ─→ `~/.julia/packages/Plots/2KhB2/deps/build.log`
    Status `/tmp/jl_jWXteU/Manifest.toml`
  [f5f396d3] ApproxBayes v0.3.1
  [7d9fca2a] Arpack v0.3.1
  [b99e7846] BinaryProvider v0.5.8
  [3da002f7] ColorTypes v0.8.0
  [5ae59095] Colors v0.9.6
  [d38c429a] Contour v0.5.1
  [9a962f9c] DataAPI v1.1.0
  [864edb3b] DataStructures v0.17.6
  [b4f34e82] Distances v0.8.2
  [31c24e10] Distributions v0.19.2
  [c87230d0] FFMPEG v0.2.3
  [53c48c17] FixedPointNumbers v0.6.1
  [28b8d3ca] GR v0.44.0
  [4d00f742] GeometryTypes v0.7.6
  [c8e1da08] IterTools v1.3.0
  [682c06a0] JSON v0.21.0
  [442fdcdd] Measures v0.3.0
  [e1d29d7a] Missings v0.4.3
  [77ba4419] NaNMath v0.3.3
  [efe28fd5] OpenSpecFun_jll v0.5.3+1
  [bac558e1] OrderedCollections v1.1.0
  [90014a1f] PDMats v0.9.10
  [69de0a69] Parsers v0.3.10
  [ccf2f8ad] PlotThemes v1.0.0
  [995b91a9] PlotUtils v0.6.1
  [91a5bcdd] Plots v0.28.2
  [92933f4c] ProgressMeter v1.2.0
  [1fd47b50] QuadGK v2.1.1
  [3cdcf5f2] RecipesBase v0.7.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v0.5.2
  [79098fc4] Rmath v0.6.0
  [992d4aef] Showoff v0.3.1
  [a2af1166] SortingAlgorithms v0.3.1
  [276daf66] SpecialFunctions v0.9.0
  [90137ffa] StaticArrays v0.12.1
  [2913bbd2] StatsBase v0.32.0
  [4c63d2b9] StatsFuns v0.8.0
  [2a0f44e3] Base64  [`@stdlib/Base64`]
  [ade2ca70] Dates  [`@stdlib/Dates`]
  [8bb1440f] DelimitedFiles  [`@stdlib/DelimitedFiles`]
  [8ba89e20] Distributed  [`@stdlib/Distributed`]
  [b77e0a4c] InteractiveUtils  [`@stdlib/InteractiveUtils`]
  [76f85450] LibGit2  [`@stdlib/LibGit2`]
  [8f399da3] Libdl  [`@stdlib/Libdl`]
  [37e2e46d] LinearAlgebra  [`@stdlib/LinearAlgebra`]
  [56ddb016] Logging  [`@stdlib/Logging`]
  [d6f4376e] Markdown  [`@stdlib/Markdown`]
  [a63ad114] Mmap  [`@stdlib/Mmap`]
  [44cfe95a] Pkg  [`@stdlib/Pkg`]
  [de0858da] Printf  [`@stdlib/Printf`]
  [3fa0cd96] REPL  [`@stdlib/REPL`]
  [9a3f8284] Random  [`@stdlib/Random`]
  [ea8e919c] SHA  [`@stdlib/SHA`]
  [9e88b42a] Serialization  [`@stdlib/Serialization`]
  [6462fe0b] Sockets  [`@stdlib/Sockets`]
  [2f01184e] SparseArrays  [`@stdlib/SparseArrays`]
  [10745b16] Statistics  [`@stdlib/Statistics`]
  [4607b0f0] SuiteSparse  [`@stdlib/SuiteSparse`]
  [8dfed614] Test  [`@stdlib/Test`]
  [cf7118a7] UUIDs  [`@stdlib/UUIDs`]
  [4ec0a83e] Unicode  [`@stdlib/Unicode`]
┌ Warning: `lgamma(x::Real)` is deprecated, use `(logabsgamma(x))[1]` instead.
│   caller = lstirling_asym(::BigFloat) at misc.jl:56
└ @ StatsFuns ~/.julia/packages/StatsFuns/2QE7p/src/misc.jl:56
Plots.GRBackend()
Running tests ...
* test_sampling.jl ...
  1.651430 seconds (10.04 M allocations: 276.580 MiB, 26.15% gc time)
  1.721705 seconds (10.01 M allocations: 294.766 MiB, 2.69% gc time)
* test_parameter.jl ...
Test parameters of normal distribution are inferred correctly (mean within 5% of true value)
Preparing to run in serial on 1 processor
	 Check ABC rejection algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Number of simulations: 1.07e+05
Acceptance ratio: 9.32e-04

Median (95% intervals):
Parameter 1: 1.99 (1.92,2.07)
Parameter 2: 0.42 (0.30,0.54)
#########################################

	 Check output is written to file
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
	 Check ABC SMC algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Total number of simulations: 3.33e+03
Cumulative number of simulations = [100, 398, 724, 1080, 1505, 2081, 2622, 3326]
Acceptance ratio: 3.01e-02
Tolerance schedule = [1.0, 0.71, 0.45, 0.3, 0.2, 0.13, 0.07, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.94,2.05)
Parameter 2: 0.41 (0.31,0.51)
#########################################

	 Check output is written to file
	 Check ABC SMC algorithm correctly infers parameters with gaussian perturbation kernel
	 Check ABC SMC is more efficient than ABC rejection
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
┌ Warning: Only accepted 2 particles with ϵ < 0.1. 
│ 	You may want to increase ϵ or increase maxiterations. 
│ 	 Resorting to taking the 100 particles with smallest distance
└ @ ApproxBayes ~/.julia/packages/ApproxBayes/EK19t/src/ABCalgorithm.jl:85
Preparing to run in serial on 1 processor
Preparing to run in serial on 1 processor
Total number of simulations: 2.43e+03
Cumulative number of simulations = [100, 436, 709, 1082, 1428, 1876, 2432]
Acceptance ratio: 4.11e-02
Tolerance schedule = [1.0, 0.71, 0.37, 0.23, 0.14, 0.08, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.94,2.05)
Parameter 2: 0.39 (0.32,0.50)

	 Check ABC SMC algorithm with gaussian perturbation kernel correctly infers parameters
* test_parameter_parallel.jl ...
Test parameters of normal distribution are inferred correctly (mean within 5% of true value)
Preparing to run in parallel on 1 processors
	 Check ABC rejection algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Number of simulations: 1.07e+05
Acceptance ratio: 9.30e-04

Median (95% intervals):
Parameter 1: 1.99 (1.92,2.07)
Parameter 2: 0.42 (0.30,0.54)
#########################################

	 Check output is written to file
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
	 Check ABC SMC algorithm correctly infers parameters
	 Check no errors arising from plotting
	 Check no errors arising from printing results

#########################################
Total number of simulations: 3.82e+03
Cumulative number of simulations = [101, 353, 845, 1363, 1862, 2362, 3028, 3817]
Acceptance ratio: 2.62e-02
Tolerance schedule = [1.0, 0.6, 0.33, 0.23, 0.14, 0.09, 0.06, 0.05]

Median (95% intervals):
Parameter 1: 1.99 (1.95,2.03)
Parameter 2: 0.41 (0.35,0.46)
#########################################

	 Check output is written to file
	 Check ABC SMC is more efficient than ABC rejection
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
Preparing to run in parallel on 1 processors
┌ Warning: Only accepted 0 particles with ϵ < 0.1. 
│ 	You may want to increase ϵ or increase maxiterations. 
│ 	 Resorting to taking the 100 particles with smallest distance
└ @ ApproxBayes ~/.julia/packages/ApproxBayes/EK19t/src/ABCalgorithm.jl:85
* test_bayesfactor.jl ...
Test Bayes factors are calculated correctly (within 5% of true value)
	 Checking ABC SMC model selection
 45.194696 seconds (59.10 M allocations: 8.964 GiB, 3.27% gc time)
	 Checking ABC rejection model selection
234.913773 seconds (163.58 M allocations: 16.735 GiB, 2.07% gc time)
	 Check no errors arising from plotting
* test_util.jl ...
497.535551 seconds (341.08 M allocations: 74.098 GiB, 3.03% gc time)
   Testing ApproxBayes tests passed