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1.4.0-DEV-efa66facf6.log
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Julia Version 1.4.0-DEV.648
Commit efa66facf6 (2019-12-19 21:21 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-8.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
Resolving package versions...
Installed OpenSpecFun_jll ────── v0.5.3+1
Installed Compat ─────────────── v2.2.0
Installed DiffResults ────────── v1.0.1
Installed NLPModelsJuMP ──────── v0.5.0
Installed NLPModels ──────────── v0.10.0
Installed DataStructures ─────── v0.17.6
Installed DiffRules ──────────── v1.0.0
Installed JuMP ───────────────── v0.18.6
Installed StaticArrays ───────── v0.12.1
Installed Calculus ───────────── v0.5.1
Installed SpecialFunctions ───── v0.9.0
Installed OrderedCollections ─── v1.1.0
Installed CommonSubexpressions ─ v0.2.0
Installed ForwardDiff ────────── v0.10.8
Installed ReverseDiffSparse ──── v0.8.6
Installed LinearOperators ────── v1.0.1
Installed TimerOutputs ───────── v0.5.3
Installed FastClosures ───────── v0.3.2
Installed NaNMath ────────────── v0.3.3
Installed MathProgBase ───────── v0.7.7
Updating `~/.julia/environments/v1.4/Project.toml`
[792afdf1] + NLPModelsJuMP v0.5.0
Updating `~/.julia/environments/v1.4/Manifest.toml`
[49dc2e85] + Calculus v0.5.1
[bbf7d656] + CommonSubexpressions v0.2.0
[34da2185] + Compat v2.2.0
[864edb3b] + DataStructures v0.17.6
[163ba53b] + DiffResults v1.0.1
[b552c78f] + DiffRules v1.0.0
[9aa1b823] + FastClosures v0.3.2
[f6369f11] + ForwardDiff v0.10.8
[4076af6c] + JuMP v0.18.6
[5c8ed15e] + LinearOperators v1.0.1
[fdba3010] + MathProgBase v0.7.7
[a4795742] + NLPModels v0.10.0
[792afdf1] + NLPModelsJuMP v0.5.0
[77ba4419] + NaNMath v0.3.3
[efe28fd5] + OpenSpecFun_jll v0.5.3+1
[bac558e1] + OrderedCollections v1.1.0
[89212889] + ReverseDiffSparse v0.8.6
[276daf66] + SpecialFunctions v0.9.0
[90137ffa] + StaticArrays v0.12.1
[a759f4b9] + TimerOutputs v0.5.3
[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
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Testing NLPModelsJuMP
Path `/home/pkgeval/.julia/packages/NLPModelsJuMP/b13o0` exists and looks like the correct package. Using existing path.
Installed MutableArithmetics ─ v0.1.1
Installed BenchmarkTools ───── v0.4.3
Installed Parsers ──────────── v0.3.10
Installed BinaryProvider ───── v0.5.8
Installed Ipopt ────────────── v0.6.1
Installed JSON ─────────────── v0.21.0
Installed MathOptInterface ─── v0.9.8
Updating `/tmp/jl_aKfGhK/Project.toml`
[b6b21f68] + Ipopt v0.6.1
[792afdf1] + NLPModelsJuMP v0.5.0 [`~/.julia/packages/NLPModelsJuMP/b13o0`]
Updating `/tmp/jl_aKfGhK/Manifest.toml`
[6e4b80f9] + BenchmarkTools v0.4.3
[b99e7846] + BinaryProvider v0.5.8
[b6b21f68] + Ipopt v0.6.1
[682c06a0] + JSON v0.21.0
[b8f27783] + MathOptInterface v0.9.8
[d8a4904e] + MutableArithmetics v0.1.1
[792afdf1] ~ NLPModelsJuMP v0.5.0 ⇒ v0.5.0 [`~/.julia/packages/NLPModelsJuMP/b13o0`]
[69de0a69] + Parsers v0.3.10
Building Ipopt → `~/.julia/packages/Ipopt/ruIXY/deps/build.log`
Path `/home/pkgeval/.julia/packages/Ipopt/ruIXY` exists and looks like the correct package. Using existing path.
Updating `/tmp/jl_Oof6Eb/Project.toml`
[b6b21f68] + Ipopt v0.6.1 [`~/.julia/packages/Ipopt/ruIXY`]
Updating `/tmp/jl_Oof6Eb/Manifest.toml`
[b6b21f68] ~ Ipopt v0.6.1 ⇒ v0.6.1 [`~/.julia/packages/Ipopt/ruIXY`]
Running sandbox
Status `/tmp/jl_aKfGhK/Project.toml`
[f6369f11] ForwardDiff v0.10.8
[b6b21f68] Ipopt v0.6.1
[4076af6c] JuMP v0.18.6
[fdba3010] MathProgBase v0.7.7
[a4795742] NLPModels v0.10.0
[792afdf1] NLPModelsJuMP v0.5.0 [`~/.julia/packages/NLPModelsJuMP/b13o0`]
[37e2e46d] LinearAlgebra
[de0858da] Printf
[2f01184e] SparseArrays
[8dfed614] Test
Minimization problem Generic
nvar = 2, ncon = 1 (0 linear)
Minimization problem Generic
nvar = 2, ncon = 1 (0 linear)
lvar = -1.0 -1.0
uvar = 1.0 1.0
lcon = 0.0
ucon = 0.0
x0 = 1.0 1.0
y0 = 0.0
nnzh = 3
nnzj = 2
nonlinear constraints: 1
******************************************************************************
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
******************************************************************************
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).
Number of nonzeros in equality constraint Jacobian...: 2
Number of nonzeros in inequality constraint Jacobian.: 0
Number of nonzeros in Lagrangian Hessian.............: 3
Total number of variables............................: 2
variables with only lower bounds: 0
variables with lower and upper bounds: 2
variables with only upper bounds: 0
Total number of equality constraints.................: 1
Total number of inequality constraints...............: 0
inequality constraints with only lower bounds: 0
inequality constraints with lower and upper bounds: 0
inequality constraints with only upper bounds: 0
iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
0 1.9602000e+00 9.80e-01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
1 5.0000000e-01 0.00e+00 3.83e+01 -1.0 4.90e-01 - 2.47e-02 1.00e+00f 1
2 5.0000000e-01 0.00e+00 7.94e-15 -1.0 0.00e+00 - 1.00e+00 1.00e+00 0
3 5.0000000e-01 0.00e+00 5.55e-17 -2.5 0.00e+00 - 1.00e+00 1.00e+00 0
4 5.0000000e-01 0.00e+00 2.82e-17 -3.8 0.00e+00 - 1.00e+00 1.00e+00 0
5 5.0000000e-01 0.00e+00 1.02e-16 -5.7 3.39e-21 - 1.00e+00 1.00e+00T 0
6 5.0000000e-01 0.00e+00 1.09e-17 -8.6 0.00e+00 - 1.00e+00 1.00e+00T 0
Number of Iterations....: 6
(scaled) (unscaled)
Objective...............: 5.0000000000000000e-01 5.0000000000000000e-01
Dual infeasibility......: 1.0851339087274842e-17 1.0851339087274842e-17
Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00
Complementarity.........: 2.5059035596800845e-09 2.5059035596800845e-09
Overall NLP error.......: 2.5059035596800845e-09 2.5059035596800845e-09
Number of objective function evaluations = 7
Number of objective gradient evaluations = 7
Number of equality constraint evaluations = 7
Number of inequality constraint evaluations = 0
Number of equality constraint Jacobian evaluations = 7
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations = 6
Total CPU secs in IPOPT (w/o function evaluations) = 1.410
Total CPU secs in NLP function evaluations = 1.363
EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).
Number of nonzeros in equality constraint Jacobian...: 2
Number of nonzeros in inequality constraint Jacobian.: 0
Number of nonzeros in Lagrangian Hessian.............: 2
Total number of variables............................: 2
variables with only lower bounds: 0
variables with lower and upper bounds: 0
variables with only upper bounds: 0
Total number of equality constraints.................: 1
Total number of inequality constraints...............: 0
inequality constraints with only lower bounds: 0
inequality constraints with lower and upper bounds: 0
inequality constraints with only upper bounds: 0
iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
0 4.8400000e+00 4.40e+00 1.56e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
1 1.5175599e+00 9.37e+00 1.88e+00 -1.0 1.88e+00 0.0 1.00e+00 1.00e+00f 1
2 1.5057311e+00 6.05e+01 5.42e-01 -1.0 2.46e+00 0.4 1.00e+00 1.00e+00f 1
3 2.1067038e+00 2.19e-14 2.90e+00 -1.0 5.88e+00 - 1.00e+00 1.00e+00H 1
4 0.0000000e+00 2.11e+01 0.00e+00 -1.0 1.45e+00 - 1.00e+00 1.00e+00f 1
5 0.0000000e+00 0.00e+00 0.00e+00 -1.0 2.11e+00 - 1.00e+00 1.00e+00h 1
Number of Iterations....: 5
(scaled) (unscaled)
Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00
Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00
Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00
Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00
Overall NLP error.......: 0.0000000000000000e+00 0.0000000000000000e+00
Number of objective function evaluations = 7
Number of objective gradient evaluations = 6
Number of equality constraint evaluations = 7
Number of inequality constraint evaluations = 0
Number of equality constraint Jacobian evaluations = 6
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations = 5
Total CPU secs in IPOPT (w/o function evaluations) = 0.807
Total CPU secs in NLP function evaluations = 0.223
EXIT: Optimal Solution Found.
This is Ipopt version 3.12.10, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).
Number of nonzeros in equality constraint Jacobian...: 0
Number of nonzeros in inequality constraint Jacobian.: 0
Number of nonzeros in Lagrangian Hessian.............: 55
Total number of variables............................: 10
variables with only lower bounds: 0
variables with lower and upper bounds: 0
variables with only upper bounds: 0
Total number of equality constraints.................: 0
Total number of inequality constraints...............: 0
inequality constraints with only lower bounds: 0
inequality constraints with lower and upper bounds: 0
inequality constraints with only upper bounds: 0
iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
0 1.6881633e-02 0.00e+00 3.72e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
1 1.3104791e-02 0.00e+00 3.45e-01 -1.7 3.57e-03 2.0 1.00e+00 1.00e+00f 1
2 7.1684879e-03 0.00e+00 2.06e-01 -1.7 8.13e-03 1.5 1.00e+00 1.00e+00f 1
3 5.0503944e-03 0.00e+00 3.91e-02 -1.7 6.79e-03 1.0 1.00e+00 1.00e+00f 1
4 4.2729157e-03 0.00e+00 2.42e-02 -2.5 6.85e-03 0.6 1.00e+00 1.00e+00f 1
5 3.8009908e-03 0.00e+00 1.18e-02 -3.8 6.96e-03 0.1 1.00e+00 1.00e+00f 1
6 3.6107425e-03 0.00e+00 7.10e-03 -3.8 1.04e-02 -0.4 1.00e+00 1.00e+00f 1
7 3.5620665e-03 0.00e+00 3.71e-03 -3.8 3.37e-03 0.0 1.00e+00 1.00e+00f 1
8 3.4459562e-03 0.00e+00 3.62e-03 -3.8 9.59e-03 -0.4 1.00e+00 1.00e+00f 1
9 3.4105091e-03 0.00e+00 3.23e-03 -3.8 3.09e-03 -0.0 1.00e+00 1.00e+00f 1
iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
10 3.3370143e-03 0.00e+00 3.71e-03 -3.8 7.63e-03 -0.5 1.00e+00 1.00e+00f 1
11 3.3168049e-03 0.00e+00 2.30e-03 -3.8 2.39e-03 -0.1 1.00e+00 1.00e+00f 1
12 3.2825415e-03 0.00e+00 2.65e-03 -3.8 5.24e-03 -0.5 1.00e+00 1.00e+00f 1
13 3.2583787e-03 0.00e+00 4.50e-03 -3.8 6.23e-03 -1.0 1.00e+00 1.00e+00f 1
14 3.2522583e-03 0.00e+00 1.93e-03 -3.8 3.78e-03 - 1.00e+00 1.00e+00f 1
15 3.2519781e-03 0.00e+00 4.90e-05 -3.8 6.32e-04 - 1.00e+00 1.00e+00f 1
16 3.2519774e-03 0.00e+00 3.08e-07 -5.7 4.82e-05 - 1.00e+00 1.00e+00f 1
17 3.2519774e-03 0.00e+00 1.06e-12 -8.6 9.33e-08 - 1.00e+00 1.00e+00f 1
Number of Iterations....: 17
(scaled) (unscaled)
Objective...............: 3.2519774004411590e-03 3.2519774004411590e-03
Dual infeasibility......: 1.0580217257860625e-12 1.0580217257860625e-12
Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00
Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00
Overall NLP error.......: 1.0580217257860625e-12 1.0580217257860625e-12
Number of objective function evaluations = 18
Number of objective gradient evaluations = 18
Number of equality constraint evaluations = 0
Number of inequality constraint evaluations = 0
Number of equality constraint Jacobian evaluations = 0
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations = 17
Total CPU secs in IPOPT (w/o function evaluations) = 0.332
Total CPU secs in NLP function evaluations = 0.096
EXIT: Optimal Solution Found.
Checking problem brownden ✓ ✓ ✓ -
Checking problem hs5 ✓ ✓ ✓ -
Checking problem hs6 ✓ ✓ ✓ -
Checking problem hs10 ✓ ✓ ✓ ✓
Checking problem hs11 ✓ ✓ ✓ ✓
Checking problem hs14 ✓ ✓ ✓ ✓
Test Summary: | Pass Total
Consistency of Linear problem | 1685 1685
Test Summary: | Pass Total
Consistency of Linear problem with linear constraints | 1156 1156
Test Summary: | Pass Total
Consistency of Nonlinear problem | 393 393
Test Summary: | Pass Total
Consistency of Nonlinear problem with constraints | 267 267
Test Summary: | Pass Total
Consistency of slack variant | 215 215
Testing MathProgNLSModel
Problem nequ nvar ncon ‖F(x₀)‖² ‖JᵀF‖ ‖c(x₀)‖
mgh07 3 3 0 2.5000e+03 9.3982e+02 NA
mgh35 10 10 0 3.3763e-02 6.6504e-01 NA
hs30 3 3 1 3.0000e+00 1.7321e+00 1.0000e+00
hs43 4 4 3 7.9875e+01 1.1619e+01 1.3748e+01
Test Summary: | Pass Total
Test view subarrays for MathProg models | 3496 3496
Testing NLPModelsJuMP tests passed