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1.6.0-DEV-bf8a8e8f9c.log
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1.6.0-DEV-bf8a8e8f9c.log
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Julia Version 1.6.0-DEV.654
Commit bf8a8e8f9c (2020-08-18 16:25 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-avx512)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
[ Info: LEGAL NOTICE: package operations send anonymous data about your system to https://pkg.julialang.org (your current package server), including the operating system and Julia versions you are using, and a random client UUID. Running `Pkg.telemetryinfo()` will show exactly what data is sent. See https://julialang.org/legal/data/ for more details about what this data is used for, how long it is retained, and how to opt out of sending it.
Installed MathProgBase ─ v0.7.8
Updating `~/.julia/environments/v1.6/Project.toml`
[fdba3010] + MathProgBase v0.7.8
Updating `~/.julia/environments/v1.6/Manifest.toml`
[fdba3010] + MathProgBase v0.7.8
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[9a3f8284] + Random
[9e88b42a] + Serialization
[2f01184e] + SparseArrays
Testing MathProgBase
Status `/tmp/jl_s48aW2/Project.toml`
[e2685f51] ECOS v0.12.1
[3c7084bd] GLPKMathProgInterface v0.5.0
[b6b21f68] Ipopt v0.6.3
[fdba3010] MathProgBase v0.7.8
[37e2e46d] LinearAlgebra
[2f01184e] SparseArrays
[8dfed614] Test
Status `/tmp/jl_s48aW2/Manifest.toml`
[ae81ac8f] ASL_jll v0.1.1+3
[6e4b80f9] BenchmarkTools v0.5.0
[b99e7846] BinaryProvider v0.5.10
[6e34b625] Bzip2_jll v1.0.6+3
[523fee87] CodecBzip2 v0.7.2
[944b1d66] CodecZlib v0.7.0
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[e2685f51] ECOS v0.12.1
[c2c64177] ECOS_jll v2.0.5+0
[60bf3e95] GLPK v0.13.0
[3c7084bd] GLPKMathProgInterface v0.5.0
[e8aa6df9] GLPK_jll v4.64.0+0
[781609d7] GMP_jll v6.2.0+1
[cd3eb016] HTTP v0.8.17
[83e8ac13] IniFile v0.5.0
[b6b21f68] Ipopt v0.6.3
[9cc047cb] Ipopt_jll v3.13.2+0
[682c06a0] JSON v0.21.0
[7d188eb4] JSONSchema v0.3.1
[d00139f3] METIS_jll v5.1.0+4
[d7ed1dd3] MUMPS_seq_jll v5.2.1+3
[b8f27783] MathOptInterface v0.9.14
[fdba3010] MathProgBase v0.7.8
[739be429] MbedTLS v1.0.2
[c8ffd9c3] MbedTLS_jll v2.16.6+1
[d8a4904e] MutableArithmetics v0.2.10
[656ef2d0] OpenBLAS32_jll v0.3.9+4
[bac558e1] OrderedCollections v1.3.0
[69de0a69] Parsers v1.0.10
[3bb67fe8] TranscodingStreams v0.9.5
[a5390f91] ZipFile v0.9.2
[83775a58] Zlib_jll v1.2.11+15
[2a0f44e3] Base64
[ade2ca70] Dates
[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
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
┌ Warning: Element type Int64 does not have an infinite value. Note that this may artifically introduce ranged (two-sided) constraints. To avoid this, consider casting the problem data to Float64.
└ @ MathProgBase.HighLevelInterface ~/.julia/packages/MathProgBase/rr4Xh/src/HighLevelInterface/HighLevelInterface.jl:8
┌ Warning: Element type Int64 does not have an infinite value. Note that this may artifically introduce ranged (two-sided) constraints. To avoid this, consider casting the problem data to Float64.
└ @ MathProgBase.HighLevelInterface ~/.julia/packages/MathProgBase/rr4Xh/src/HighLevelInterface/HighLevelInterface.jl:8
┌ Warning: Element type Int64 does not have an infinite value. Note that this may artifically introduce ranged (two-sided) constraints. To avoid this, consider casting the problem data to Float64.
└ @ MathProgBase.HighLevelInterface ~/.julia/packages/MathProgBase/rr4Xh/src/HighLevelInterface/HighLevelInterface.jl:8
┌ Warning: Element type Int64 does not have an infinite value. Note that this may artifically introduce ranged (two-sided) constraints. To avoid this, consider casting the problem data to Float64.
└ @ MathProgBase.HighLevelInterface ~/.julia/packages/MathProgBase/rr4Xh/src/HighLevelInterface/HighLevelInterface.jl:8
┌ Warning: Element type Int64 does not have an infinite value. Note that this may artifically introduce ranged (two-sided) constraints. To avoid this, consider casting the problem data to Float64.
└ @ MathProgBase.HighLevelInterface ~/.julia/packages/MathProgBase/rr4Xh/src/HighLevelInterface/HighLevelInterface.jl:8
┌ Warning: Element type Int64 does not have an infinite value. Note that this may artifically introduce ranged (two-sided) constraints. To avoid this, consider casting the problem data to Float64.
└ @ MathProgBase.HighLevelInterface ~/.julia/packages/MathProgBase/rr4Xh/src/HighLevelInterface/HighLevelInterface.jl:8
Test Summary: | Pass Total
Testing linprog and subfunctions with GLPKMathProgInterface.GLPKInterfaceLP.GLPKSolverLP(false, :Simplex, Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}()) | 26 26
Test Summary: | Pass Total
Testing mixintprog with GLPKMathProgInterface.GLPKInterfaceMIP.GLPKSolverMIP(false, Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}()) | 3 3
******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
Ipopt is released as open source code under the Eclipse Public License (EPL).
For more information visit http://projects.coin-or.org/Ipopt
******************************************************************************
Test Summary: | Pass Total
Testing quadprog with IpoptSolver(Tuple[(:print_level, 0), (:fixed_variable_treatment, "make_constraint")]) | 9 9
Test Summary: | Pass Total
Testing QP duals with IpoptSolver(Tuple[(:print_level, 0), (:fixed_variable_treatment, "make_constraint")]) | 14 14
Test Summary: | Pass Total
Testing SOCP interface with ECOSSolver(Base.Iterators.Pairs{Symbol,Bool,Tuple{Symbol},NamedTuple{(:verbose,),Tuple{Bool}}}(:verbose => 0)) | 3 3
Test Summary: | Pass Total
Testing NLP with IpoptSolver(Tuple[(:print_level, 0), (:fixed_variable_treatment, "make_constraint")]) | 7 7
Test Summary: | Pass Total
Testing NLP without Hessian with IpoptSolver(Tuple[(:print_level, 0), (:fixed_variable_treatment, "make_constraint")]) | 7 7
Test Summary: | Pass Total
Testing convex NLP with IpoptSolver(Tuple[(:print_level, 0), (:fixed_variable_treatment, "make_constraint")]) | 4 4
Test Summary: | Pass Total
Testing NLP on the Rosenbrock function with IpoptSolver(Tuple[(:print_level, 0), (:fixed_variable_treatment, "make_constraint")]) | 5 5
Test Summary: | Pass Total
Testing linear problems through conic interface with ECOSSolver(Base.Iterators.Pairs{Symbol,Bool,Tuple{Symbol},NamedTuple{(:verbose,),Tuple{Bool}}}(:verbose => 0)) | 47 47
Test Summary: | Pass Total
Testing linear problems through conic interface with GLPKMathProgInterface.GLPKInterfaceLP.GLPKSolverLP(false, :Simplex, Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}()) | 47 47
Test Summary: | Pass Total
Testing LP interface with GLPKMathProgInterface.GLPKInterfaceLP.GLPKSolverLP(false, :Simplex, Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}()) | 85 85
Test Summary: | Pass Total
Testing LP interface extra with GLPKMathProgInterface.GLPKInterfaceLP.GLPKSolverLP(false, :Simplex, Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}()) | 38 38
Test Summary: | Pass Total
Testing LP interface with ECOSSolver(Base.Iterators.Pairs{Symbol,Bool,Tuple{Symbol},NamedTuple{(:verbose,),Tuple{Bool}}}(:verbose => 0)) | 76 76
Test Summary: | Pass Total
Testing LP interface with IpoptSolver(Tuple[(:print_level, 0), (:fixed_variable_treatment, "make_constraint")]) | 82 82
Testing MathProgBase tests passed