Started by upstream project "gplibrary_PR_Models" build number 98
originally caused by:
GitHub pull request #175 of commit cc0d5e9f567c9ed04eecf8f828d8388ed902ab05, no merge conflicts.
Running as SYSTEM
[EnvInject] - Loading node environment variables.
Building remotely on windows10x64 in workspace C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek
No credentials specified
Wiping out workspace first.
Cloning the remote Git repository
Cloning repository https://github.com/convexengineering/gplibrary
> C:\Program Files\Git\cmd\git init C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gplibrary
> C:\Program Files\Git\cmd\git --version # timeout=10
> C:\Program Files\Git\cmd\git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/heads/*:refs/remotes/origin/* # timeout=10
> C:\Program Files\Git\cmd\git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10
> C:\Program Files\Git\cmd\git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
> C:\Program Files\Git\cmd\git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gplibrary
> C:\Program Files\Git\cmd\git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10
Merging Revision 5f064414f98f3ebfb2fb71be7f2c546e31bffe3c (refs/remotes/origin/pr/175/merge) to origin/master, UserMergeOptions{mergeRemote='origin', mergeTarget='master', mergeStrategy='DEFAULT', fastForwardMode='FF'}
> C:\Program Files\Git\cmd\git rev-parse "origin/master^{commit}" # timeout=10
> C:\Program Files\Git\cmd\git config core.sparsecheckout # timeout=10
> C:\Program Files\Git\cmd\git checkout -f origin/master # timeout=3
> C:\Program Files\Git\cmd\git merge --ff 5f064414f98f3ebfb2fb71be7f2c546e31bffe3c # timeout=10
> C:\Program Files\Git\cmd\git rev-parse "HEAD^{commit}" # timeout=10
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> C:\Program Files\Git\cmd\git show-ref --tags -d # timeout=10
Checking out Revision 5f064414f98f3ebfb2fb71be7f2c546e31bffe3c (origin/pr/175/merge, origin/master)
> C:\Program Files\Git\cmd\git config core.sparsecheckout # timeout=10
> C:\Program Files\Git\cmd\git checkout -f 5f064414f98f3ebfb2fb71be7f2c546e31bffe3c # timeout=3
Commit message: "Merge cc0d5e9f567c9ed04eecf8f828d8388ed902ab05 into 33d3b1f3cc79228af969bf35c025c1e4518c5e84"
Using 'Changelog to branch' strategy.
Run condition [Execution node ] enabling prebuild for step [Execute shell]
Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command]
[description-setter] Description set: PR 175: SimPleAC update.
[Execution node] check if [windows10x64] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]]
Run condition [Execution node ] preventing perform for step [Execute shell]
[Execution node] check if [windows10x64] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] enabling perform for step [Execute Windows batch command]
[mosek] $ cmd /c call C:\Users\jenkins\AppData\Local\Temp\jenkins6953491527416897590.bat
C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>echo C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps
C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps
C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM turn on the anaconda console
C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>call activate.bat || exit /b 666
(base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM Create a virtualenv to install everything into
(base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>SET VENV=C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit
(base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>virtualenv --system-site-packages C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit || exit /b 666
New python executable in C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts\python.exe
Installing setuptools, pip, wheel...done.
(base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>call C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts\activate.bat || exit /b 666
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>set PATH=C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts;C:\Anaconda2;C:\Anaconda2\Library\mingw-w64\bin;C:\Anaconda2\Library\usr\bin;C:\Anaconda2\Library\bin;C:\Anaconda2\Scripts;C:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM set PATH=C:\mingw-w64\x86_64-7.3.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts;C:\Anaconda2;C:\Anaconda2\Library\mingw-w64\bin;C:\Anaconda2\Library\usr\bin;C:\Anaconda2\Library\bin;C:\Anaconda2\Scripts;C:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>gcc --version || exit /b 666
gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 6.4.0
Copyright (C) 2017 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM upgdade pip
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>python -m pip install --upgrade pip || exit /b 666
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already up-to-date: pip in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages (19.1.1)
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM Install coverage into the virtualenv to the coverage command blow uses the virtualenv python
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>pip install --upgrade coverage || exit /b 666
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already up-to-date: coverage in c:\anaconda2\lib\site-packages (4.5.3)
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>SET GPKITBUILD=C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\build_gpkit
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>if mosek == cvxopt (
pip install --upgrade cvxopt || exit /b 666
set GPKITSOLVERS=cvxopt
)
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>if mosek == mosek (
msktestlic || exit /b 666
python -c "__import__('mosek').Env()" || exit /b 666
set GPKITSOLVERS=mosek, mosek_cli
)
Problem
Name :
Objective sense : min
Type : LO (linear optimization problem)
Constraints : 1
Cones : 0
Scalar variables : 5000
Matrix variables : 0
Integer variables : 0
Optimizer started.
Mosek license manager: License path: C:\Users\jenkins\mosek\mosek.lic
Mosek license manager: Checkout license feature 'PTS' from flexlm.
Mosek license manager: Checkout time 0.00. r: 0 status: 0
Interior-point optimizer started.
Presolve started.
Eliminator started.
Freed constraints in eliminator : 0
Eliminator terminated.
Eliminator - tries : 1 time : 0.00
Lin. dep. - tries : 0 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.00
Interior-point optimizer terminated. Time: 0.02.
Optimizer terminated. Time: 0.03
************************************
A license was checked out correctly.
************************************
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>python -c "import scipy; print scipy.__version__" || exit /b 666
1.2.2
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>python -c "import numpy; print numpy.__version__" || exit /b 666
1.16.4
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>python -c "import pint; print pint.__version__" || exit /b 666
0.9
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM Install gpkit to run the documentation examples
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>git clone --depth 1 https://github.com/convexengineering/gpkit.git || exit /b 666
Cloning into 'gpkit'...
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>pip install -e C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\gpkit || exit /b 666
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Obtaining file:///C:/Users/jenkins/workspace/gplibrary_PR_Models/mosek/gpkit
Requirement already satisfied: numpy>=1.12.1 in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.16.4)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (0.9)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.2)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit==0.9.0.1) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit==0.9.0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit==0.9.0.1) (2018.0.0)
Installing collected packages: gpkit
Running setup.py develop for gpkit
Successfully installed gpkit
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>pip install -e C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek || exit /b 666
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Obtaining file:///C:/Users/jenkins/workspace/gplibrary_PR_Models/mosek
Requirement already satisfied: numpy>=1.12 in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2)
Installing collected packages: gpkitmodels
Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM Show the settings file
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM type C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\gpkit\gpkit\env\settings
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM dir C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\build_gpkit
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>REM Limit number of threads that be can used
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>set MSK_IPAR_NUM_THREADS=2
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>set MKL_NUM_THREADS=2
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>set NUMEXPR_NUM_THREADS=2
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>set OPENBLAS_NUM_THREADS=2
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>set OMP_NUM_THREADS=2
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>python -c "from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True, ingpkitmodels=True)" || exit /b 666
No filename given.
Usage:
mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
...............................................................................................................................................................................................................................................Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...
Attempting to find and build solvers:
# Looking for mosek
# Found C:\Program Files\Mosek\8\tools\platform\win64x86\h\mosek.h
# Found C:\Program Files\Mosek\8\tools\platform\win64x86\bin\mosek64_8_0.dll
# Found C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.c
# Found C:\Program Files\Mosek\8\tools\examples\c\expopt.c
# Found C:\Program Files\Mosek\8\tools\examples\c\dgopt.c
# Found C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.h
# Found C:\Program Files\Mosek\8\tools\examples\c\expopt.h
# Found C:\Program Files\Mosek\8\tools\examples\c\dgopt.h
# Found C:\Program Files\Mosek\8\tools\platform\win64x86\h\mosek.h
# Found mosek version 8, installed to C:\Program Files\Mosek
#
# Building mosek...
# Replacing directory _mosek\lib
# Replacing directory _mosek\build
# Replacing directory C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\build_gpkit
#
# Copying expopt library files to _mosek\build
# Copying C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.c
# Copying C:\Program Files\Mosek\8\tools\examples\c\expopt.c
# Copying C:\Program Files\Mosek\8\tools\examples\c\dgopt.c
# Copying C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.h
# Copying C:\Program Files\Mosek\8\tools\examples\c\expopt.h
# Copying C:\Program Files\Mosek\8\tools\examples\c\dgopt.h
# Copying C:\Program Files\Mosek\8\tools\platform\win64x86\h\mosek.h
#
# Applying expopt patches...
#
# Change in _mosek\build\dgopt.con line 653
# -- printf("Number of Hessian non-zeros: %d\n",nlh[0]->numhesnz);
# ++ MSK_echotask(task,MSK_STREAM_MSG,"Number of Hessian non-zeros: %d\n",n
#
# Change in _mosek\build\expopt.con line 566
# -- printf("Warning: The variable with index '%d' has only positiv
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in
#
# Change in _mosek\build\expopt.con line 579
# -- printf("Warning: The variable with index '%d' has only negativ
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in
#
# Change in _mosek\build\expopt.con line 1115
# -- printf ("solsta = %d, prosta = %d\n", (int)*solsta,(int)*prosta);
# ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "solsta = %d, prosta = %d\n",
#
# Building expopt library...
# Calling 'gcc -fpic -shared -Wl,--export-all-symbols,-R "C:\Program Files\Mosek\8\tools\platform\win64x86\bin" _mosek\build\scopt-ext.c _mosek\build\expopt.c _mosek\build\dgopt.c "C:\Program Files\Mosek\8\tools\platform\win64x86\bin\mosek64_8_0.dll" -o C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\build_gpkit\expopt.so'
##
### CALL BEGINS
### CALL ENDS
##
#
# Building Python bindings for expopt and Mosek...
# (if this fails on Windows, verify the mingw version)
# Calling 'python modified_ctypesgen.py -a -l C:/Users/jenkins/workspace/gplibrary_PR_Models/mosek/build_gpkit/expopt.so -l "C:/Program Files/Mosek/8/tools/platform/win64x86/bin/mosek64_8_0.dll" -o _mosek\lib\expopt_h.py _mosek\build\expopt.h'
##
### CALL BEGINS
### CALL ENDS
##
# Done building mosek
# Looking for mosek_cli
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in system path
# Looking for cvxopt
# Trying to import cvxopt...
# Found cvxopt in Python path
...finished building gpkit.
Replaced found solvers (['mosek', 'mosek_cli', 'cvxopt']) with environment var GPKITSOLVERS (mosek, mosek_cli)
Found the following solvers: mosek, mosek_cli
# Replacing directory env
GPkit is now installed with solver(s) ['mosek', 'mosek_cli']
To incorporate new solvers at a later date, run `gpkit.build()`.
If any tests didn't pass, please post the output above
(starting from "Found no installed solvers, beginning a build.")
to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new
so we can prevent others from having these errors.
The samDEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Obtaining file:///C:/Users/jenkins/workspace/gplibrary_PR_Models/mosek
Installing collected packages: gpkitmodels
Found existing installation: gpkitmodels 0.0.0.0
Uninstalling gpkitmodels-0.0.0.0:
Successfully uninstalled gpkitmodels-0.0.0.0
Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
Cloning into 'shopping'...
adding test for 'test.py'
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.084 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.422 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.093 seconds.
Running tests...
----------------------------------------------------------------------
...
----------------------------------------------------------------------
Ran 3 tests in 0.873s
OK
Generating XML reports...
Cloning into 'gassolar'...
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DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-0t75jo
Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-0t75jo'
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-4sibiv\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Processing c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gassolar
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gassolar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0)
Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3)
Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Building wheels for collected packages: gassolar
Building wheel for gassolar (setup.py): started
Building wheel for gassolar (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-9ueu8n\wheels\5c\45\ee\a8ea86f24e24acb4b8a5b5ef8c1a921fb70526d25cb0d4c0da
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'
Using solver 'mosek'
Solving for 1250 variables.
Solving took 0.448 seconds.
Warning: Variable Re_Mission.2/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.3538 but bound is 150000.0000
Warning: Variable Re_Mission.2/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.3827 but bound is 150000.0000
Beginning signomial solve.
Solving took 4 GP solves and 3.05 seconds.
Warning: Variable Re_Mission.3/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103379.4302 but bound is 150000.0000
Warning: Variable Re_Mission.3/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.0833 but bound is 150000.0000
Using solver 'mosek_cli'
Solving for 1250 variables.
Solving took 0.461 seconds.
Warning: Variable Re_Mission/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Warning: Variable Re_Mission/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Beginning signomial solve.
Solving took 4 GP solves and 2.79 seconds.
Warning: Variable Re_Mission.1/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000
Warning: Variable Re_Mission.1/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000
Running tests...
----------------------------------------------------------------------
c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EEC:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
..
======================================================================
ERROR [1.882s]: test_gassolar_gas_gas_py_mosek (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 51, in
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 40, in test_fn
mod.test()
File "gas.py", line 202, in test
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 94, in update
self[k] = v
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 195, in __setitem__
key, idx = self.parse_and_index(key)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 120, in parse_and_index
raise KeyError(key)
KeyError: 'Mission.Loiter.t'
======================================================================
ERROR [1.380s]: test_gassolar_gas_gas_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 51, in
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 40, in test_fn
mod.test()
File "gas.py", line 202, in test
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 94, in update
self[k] = v
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 195, in __setitem__
key, idx = self.parse_and_index(key)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 120, in parse_and_index
raise KeyError(key)
KeyError: 'Mission.Loiter.t'
----------------------------------------------------------------------
Ran 4 tests in 25.537s
FAILED (errors=2)
Generating XML reports...
Cloning into 'jho'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-kjpqm6
Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-kjpqm6'
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-9spwhz\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f
Successfully built gpfit
Running tests...
----------------------------------------------------------------------
c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EEEE
======================================================================
ERROR [1.597s]: test_model_jho_py_mosek (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 51, in
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 40, in test_fn
mod.test()
File "jho.py", line 368, in test
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__
return self._choosevar(key, self.variables_byname(key))
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 112, in _choosevar
raise KeyError(key)
KeyError: 'Mission.Loiter.t'
======================================================================
ERROR [1.205s]: test_model_jho_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 51, in
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 40, in test_fn
mod.test()
File "jho.py", line 368, in test
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__
return self._choosevar(key, self.variables_byname(key))
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 112, in _choosevar
raise KeyError(key)
KeyError: 'Mission.Loiter.t'
======================================================================
ERROR [1.271s]: test_model_print_perf_py_mosek (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 51, in
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 40, in test_fn
mod.test()
File "print_perf.py", line 195, in test
File "print_perf.py", line 10, in jho_subs
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__
return self._choosevar(key, self.variables_byname(key))
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 112, in _choosevar
raise KeyError(key)
KeyError: 'Mission.Loiter.t'
======================================================================
ERROR [1.392s]: test_model_print_perf_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test
testfn(name, import_dict, path)(sadding test for 'model/jho.py'
adding test for 'model/print_perf.py'
elf)
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 51, in
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", line 40, in test_fn
mod.test()
File "print_perf.py", line 195, in test
File "print_perf.py", line 10, in jho_subs
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__
return self._choosevar(key, self.variables_byname(key))
File "c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 112, in _choosevar
raise KeyError(key)
KeyError: 'Mission.Loiter.t'
----------------------------------------------------------------------
Ran 4 tests in 5.466s
FAILED (errors=4)
Generating XML reports...
Cloning into 'turbofan'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Processing c:\users\jenkins\workspace\gplibrary_pr_models\mosek\turbofan
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2)
Building wheels for collected packages: turbofan
Building wheel for turbofan (setup.py): started
Building wheel for turbofan (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-nfe930\wheels\3a\4a\df\1e137b486523078491de3a0319a07f314f5e9aa745dfaf6fd5
Successfully built turbofan
Installing collected packages: turbofan
Successfully installed turbofan-0.0.0.0
adding test for 'turbofan/engine_validation.py'
Beginning signomial solve.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.144 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.093 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.071 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.06 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.077 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.073 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.076 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.057 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.062 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.055 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.049 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.055 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.055 seconds.
Using solver 'mosek'
Solving for 337 variables.
Solving took 0.062 seconds.
Solving took 14 GP solves and 1.98 seconds.
Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 2.530s
OK
Generating XML reports...
Cloning into 'SPaircraft'...
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Checking out files: 100% (3434/3434), done.
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/hoburg/turbofan.git
Cloning https://github.com/hoburg/turbofan.git to c:\users\jenkins\appdata\local\temp\pip-req-build-l0jw0d
Running command git clone -q https://github.com/hoburg/turbofan.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-l0jw0d'
Requirement already satisfied (use --upgrade to upgrade): turbofan==0.0.0.0 from git+https://github.com/hoburg/turbofan.git in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2)
Building wheels for collected packages: turbofan
Building wheel for turbofan (setup.py): started
Building wheel for turbofan (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-s89e85\wheels\49\e6\3a\5de0d21c0f148404ea8d883f76e050c82d4e9a0e6f59ce69a5
Successfully built turbofan
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Processing c:\users\jenkins\workspace\gplibrary_pr_models\mosek\spaircraft
Requirement already satisfied: turbofan in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages (from SPaircraft==0.0.0) (0.0.0.0)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from SPaircraft==0.0.0) (0.9.0.1)
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.2.2)
Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan->SPaircraft==0.0.0) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0)
Building wheels for collected packages: SPaircraft
Building wheel for SPaircraft (setup.py): started
Building wheel for SPaircraft (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-2xm7xl\wheels\cd\96\e2\1d33da44fa3a35ed5afd783afe8b32f5f3e03e135a461a4fb6
Successfully built SPaircraft
Installing collected packages: SPaircraft
Successfully installed SPaircraft-0.0.0
adding test for 'SPaircraft.py'
Beginning signomial solve.
Using solver 'mosek'
Solving for 1773 variables.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.01
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 881
Optimizer - Cones : 0
Optimizer - Scalar variables : 3478 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.05 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.02
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.18e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.233032920e+005 2.000000000e+000 1.0e+000 0.08
1 1.6e+003 2.2e+003 8.6e+004 -9.71e-001 -1.224710006e+005 2.764176619e+000 7.0e-001 0.11
2 8.4e+002 1.2e+003 4.6e+004 -9.58e-001 -1.200698887e+005 5.010890092e+000 3.7e-001 0.13
3 2.9e+002 4.0e+002 1.6e+004 -9.18e-001 -1.112871489e+005 2.125039687e+001 1.3e-001 0.16
4 2.9e+002 4.0e+002 1.6e+004 -7.71e-001 -1.090366818e+005 1.977091131e+003 1.3e-001 0.19
5 1.2e+002 1.6e+002 6.3e+003 -7.60e-001 -8.648051527e+004 6.541561893e+003 5.1e-002 0.20
6 4.0e+001 5.4e+001 2.1e+003 -4.30e-001 -4.765026943e+004 1.080037087e+004 1.8e-002 0.23
7 2.2e+001 3.0e+001 1.2e+003 2.19e-001 -3.066677853e+004 7.299373232e+003 9.8e-003 0.25
8 9.9e+000 1.4e+001 5.4e+002 5.34e-001 -1.472453967e+004 4.455561498e+003 4.4e-003 0.28
9 5.4e+000 7.4e+000 2.9e+002 8.16e-001 -8.052111248e+003 2.787397282e+003 2.4e-003 0.30
10 1.2e+000 1.6e+000 6.3e+001 9.17e-001 -1.508269373e+003 8.980253727e+002 5.2e-004 0.31
11 6.1e-001 8.4e-001 3.4e+001 1.00e+000 -6.339163953e+002 6.531521866e+002 2.8e-004 0.34
12 4.9e-001 6.8e-001 2.7e+001 9.93e-001 -4.532733949e+002 5.830687920e+002 2.3e-004 0.36
13 3.3e-001 6.0e-001 1.8e+001 9.79e-001 -2.237803350e+002 4.876204138e+002 1.5e-004 0.38
14 1.4e-001 2.7e-001 7.7e+000 9.96e-001 7.307875180e+001 3.716487065e+002 6.5e-005 0.41
15 4.2e-002 1.4e-001 2.4e+000 9.95e-001 2.142007213e+002 3.074304602e+002 2.1e-005 0.42
16 2.3e-002 1.2e-001 1.3e+000 1.00e+000 2.435911188e+002 2.940727495e+002 1.1e-005 0.44
17 2.3e-003 2.3e-001 1.5e-001 1.00e+000 2.751081580e+002 2.808976126e+002 1.4e-006 0.45
18 8.1e-004 1.4e-001 5.4e-002 1.00e+000 2.777864527e+002 2.798767580e+002 5.0e-007 0.48
19 4.1e-004 9.5e-002 2.8e-002 1.00e+000 2.785369326e+002 2.795995785e+002 2.6e-007 0.50
20 1.8e-004 8.1e-002 1.2e-002 1.00e+000 2.789797888e+002 2.794486001e+002 1.1e-007 0.53
21 1.6e-004 7.4e-002 1.1e-002 1.00e+000 2.790161781e+002 2.794381936e+002 1.0e-007 0.55
22 1.5e-004 6.7e-002 9.9e-003 1.00e+000 2.790476405e+002 2.794274273e+002 9.2e-008 0.56
23 1.3e-004 6.1e-002 8.9e-003 1.00e+000 2.790758623e+002 2.794176540e+002 8.3e-008 0.59
24 1.2e-004 5.6e-002 8.0e-003 1.00e+000 2.791012649e+002 2.794088637e+002 7.5e-008 0.61
25 1.1e-004 5.1e-002 7.2e-003 1.00e+000 2.791241253e+002 2.794009529e+002 6.7e-008 0.64
26 9.6e-005 4.7e-002 6.5e-003 1.00e+000 2.791446988e+002 2.793938343e+002 6.0e-008 0.66
27 8.7e-005 4.3e-002 5.8e-003 1.00e+000 2.791632147e+002 2.793874289e+002 5.4e-008 0.67
28 7.8e-005 3.9e-002 5.3e-003 1.00e+000 2.791798788e+002 2.793816652e+002 4.9e-008 0.70
29 7.0e-005 3.6e-002 4.7e-003 1.00e+000 2.791948763e+002 2.793764789e+002 4.4e-008 0.72
30 6.3e-005 3.3e-002 4.3e-003 1.00e+000 2.792083740e+002 2.793718121e+002 4.0e-008 0.73
31 5.7e-005 3.1e-002 3.8e-003 1.00e+000 2.792205217e+002 2.793676125e+002 3.6e-008 0.77
32 5.1e-005 2.8e-002 3.5e-003 1.00e+000 2.792314544e+002 2.793638333e+002 3.2e-008 0.78
33 4.6e-005 2.6e-002 3.1e-003 1.00e+000 2.792412936e+002 2.793604323e+002 2.9e-008 0.80
34 4.2e-005 2.4e-002 2.8e-003 1.00e+000 2.792501485e+002 2.793573715e+002 2.6e-008 0.81
35 3.7e-005 2.3e-002 2.5e-003 1.00e+000 2.792581175e+002 2.793546167e+002 2.3e-008 0.84
36 3.4e-005 2.1e-002 2.3e-003 1.00e+000 2.792652893e+002 2.793521373e+002 2.1e-008 0.86
37 3.0e-005 2.0e-002 2.0e-003 1.00e+000 2.792717435e+002 2.793499058e+002 1.9e-008 0.88
38 2.7e-005 1.9e-002 1.8e-003 1.00e+000 2.792775519e+002 2.793478971e+002 1.7e-008 0.89
39 2.5e-005 1.7e-002 1.7e-003 1.00e+000 2.792827790e+002 2.793460891e+002 1.5e-008 0.92
40 2.2e-005 1.6e-002 1.5e-003 1.00e+000 2.792874830e+002 2.793444616e+002 1.4e-008 0.94
41 2.0e-005 1.6e-002 1.3e-003 1.00e+000 2.792917162e+002 2.793429965e+002 1.2e-008 0.95
42 1.8e-005 1.5e-002 1.2e-003 1.00e+000 2.792955257e+002 2.793416776e+002 1.1e-008 0.97
43 1.6e-005 1.4e-002 1.1e-003 1.00e+000 2.792989538e+002 2.793404903e+002 1.0e-008 0.98
44 1.4e-005 1.3e-002 9.8e-004 1.00e+000 2.793020386e+002 2.793394213e+002 9.1e-009 1.02
45 1.3e-005 1.3e-002 8.8e-004 1.00e+000 2.793048146e+002 2.793384588e+002 8.2e-009 1.03
46 1.2e-005 1.2e-002 7.9e-004 1.00e+000 2.793073125e+002 2.793375922e+002 7.3e-009 1.05
47 1.1e-005 1.2e-002 7.1e-004 1.00e+000 2.793095603e+002 2.793368119e+002 6.6e-009 1.06
48 9.5e-006 1.1e-002 6.4e-004 1.00e+000 2.793115829e+002 2.793361093e+002 5.9e-009 1.09
49 8.5e-006 1.1e-002 5.8e-004 1.00e+000 2.793134029e+002 2.793354766e+002 5.4e-009 1.11
50 7.7e-006 1.1e-002 5.2e-004 1.00e+000 2.793150405e+002 2.793349068e+002 4.8e-009 1.13
51 6.9e-006 1.0e-002 4.7e-004 1.00e+000 2.793165141e+002 2.793343937e+002 4.3e-009 1.14
52 6.2e-006 1.0e-002 4.2e-004 1.00e+000 2.793178400e+002 2.793339316e+002 3.9e-009 1.17
53 5.6e-006 9.9e-003 3.8e-004 1.00e+000 2.793190330e+002 2.793335154e+002 3.5e-009 1.19
54 5.0e-006 9.6e-003 3.4e-004 1.00e+000 2.793201065e+002 2.793331407e+002 3.2e-009 1.20
55 4.5e-006 9.4e-003 3.1e-004 1.00e+000 2.793210724e+002 2.793328031e+002 2.8e-009 1.22
56 4.1e-006 9.2e-003 2.8e-004 1.00e+000 2.793219415e+002 2.793324992e+002 2.6e-009 1.24
57 3.7e-006 9.1e-003 2.5e-004 1.00e+000 2.793227235e+002 2.793322255e+002 2.3e-009 1.25
58 3.3e-006 8.9e-003 2.2e-004 1.00e+000 2.793234273e+002 2.793319790e+002 2.1e-009 1.27
59 3.0e-006 8.8e-003 2.0e-004 1.00e+000 2.793240605e+002 2.793317570e+002 1.9e-009 1.28
60 2.7e-006 8.7e-003 1.8e-004 1.00e+000 2.793246303e+002 2.793315572e+002 1.7e-009 1.31
61 2.4e-006 8.6e-003 1.6e-004 1.00e+000 2.793251430e+002 2.793313772e+002 1.5e-009 1.33
62 2.2e-006 8.5e-003 1.5e-004 1.00e+000 2.793256044e+002 2.793312152e+002 1.4e-009 1.34
63 2.0e-006 8.4e-003 1.3e-004 1.00e+000 2.793260195e+002 2.793310693e+002 1.2e-009 1.36
64 1.8e-006 8.3e-003 1.2e-004 1.00e+000 2.793263932e+002 2.793309379e+002 1.1e-009 1.38
65 1.9e-007 8.7e-004 1.3e-005 1.00e+000 2.793293970e+002 2.793298786e+002 1.2e-010 1.39
66 1.0e-008 4.8e-005 7.0e-007 1.00e+000 2.793297328e+002 2.793297598e+002 6.5e-012 1.41
67 5.8e-010 2.7e-006 3.9e-008 1.00e+000 2.793297516e+002 2.793297531e+002 3.6e-013 1.42
Interior-point optimizer terminated. Time: 1.42.
Optimizer terminated. Time: 1.45
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 2.7932975158e+002 nrm: 4e+001 Viol. con: 9e-009 var: 0e+000
Dual. obj: 2.7932975307e+002 nrm: 8e+002 Viol. con: 0e+000 var: 2e-005
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.47 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.01
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.05 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.231873372e+005 2.000000000e+000 1.0e+000 0.06
1 1.6e+003 2.2e+003 8.7e+004 -9.71e-001 -1.223638194e+005 2.766981060e+000 7.0e-001 0.09
2 8.0e+002 1.1e+003 4.3e+004 -9.58e-001 -1.196756182e+005 5.300180052e+000 3.5e-001 0.11
3 2.9e+002 4.0e+002 1.6e+004 -9.13e-001 -1.111519494e+005 2.219181622e+001 1.3e-001 0.13
4 2.9e+002 4.0e+002 1.6e+004 -7.70e-001 -1.092043827e+005 1.716918527e+003 1.3e-001 0.16
5 1.2e+002 1.7e+002 6.5e+003 -7.61e-001 -8.774731570e+004 6.302806277e+003 5.4e-002 0.17
6 4.0e+001 5.5e+001 2.2e+003 -4.51e-001 -4.773250700e+004 1.099725620e+004 1.8e-002 0.20
7 2.0e+001 2.7e+001 1.1e+003 2.18e-001 -2.848522680e+004 6.662659931e+003 8.9e-003 0.22
8 8.9e+000 1.2e+001 4.8e+002 5.74e-001 -1.335160290e+004 3.916123585e+003 3.9e-003 0.23
9 4.3e+000 5.9e+000 2.3e+002 8.40e-001 -6.432581455e+003 2.283520723e+003 1.9e-003 0.25
10 2.7e+000 3.6e+000 1.4e+002 9.45e-001 -3.873800268e+003 1.551184329e+003 1.2e-003 0.27
11 1.5e+000 2.0e+000 7.9e+001 9.70e-001 -1.990433421e+003 9.964001873e+002 6.5e-004 0.30
12 1.1e+000 1.5e+000 5.7e+001 9.72e-001 -1.405259933e+003 7.872906489e+002 4.7e-004 0.31
13 3.8e-001 5.9e-001 2.1e+001 9.89e-001 -3.985752916e+002 4.036587720e+002 1.7e-004 0.33
14 2.4e-001 3.8e-001 1.3e+001 1.00e+000 -1.583561294e+002 3.407034769e+002 1.1e-004 0.34
15 6.1e-002 1.7e-001 3.5e+000 1.00e+000 9.810171753e+001 2.310113047e+002 2.9e-005 0.36
16 3.5e-002 1.2e-001 2.0e+000 1.01e+000 1.364230277e+002 2.135712253e+002 1.7e-005 0.38
17 1.6e-002 9.7e-002 9.1e-001 1.01e+000 1.665204901e+002 2.011038343e+002 7.8e-006 0.39
18 2.9e-003 1.6e-001 1.8e-001 1.01e+000 1.863170468e+002 1.930693045e+002 1.6e-006 0.41
19 1.3e-003 1.1e-001 7.8e-002 1.01e+000 1.890530991e+002 1.920009843e+002 6.9e-007 0.42
20 4.9e-004 9.4e-002 3.1e-002 1.01e+000 1.903311529e+002 1.914873943e+002 2.7e-007 0.44
21 1.8e-004 9.3e-002 1.1e-002 1.00e+000 1.908518610e+002 1.912778056e+002 1.0e-007 0.45
22 8.2e-005 8.0e-002 5.2e-003 1.00e+000 1.910157575e+002 1.912106806e+002 4.6e-008 0.47
23 7.4e-005 7.3e-002 4.6e-003 1.00e+000 1.910306452e+002 1.912060916e+002 4.2e-008 0.48
24 6.6e-005 6.6e-002 4.2e-003 1.00e+000 1.910429509e+002 1.912008412e+002 3.8e-008 0.50
25 6.0e-005 6.0e-002 3.8e-003 1.00e+000 1.910540883e+002 1.911961822e+002 3.4e-008 0.52
26 5.4e-005 5.5e-002 3.4e-003 1.00e+000 1.910640993e+002 1.911919776e+002 3.0e-008 0.53
27 4.8e-005 5.0e-002 3.0e-003 1.00e+000 1.910731040e+002 1.911881893e+002 2.7e-008 0.56
28 4.4e-005 4.6e-002 2.7e-003 1.00e+000 1.910812032e+002 1.911847758e+002 2.5e-008 0.58
29 3.9e-005 4.2e-002 2.5e-003 1.00e+000 1.910884886e+002 1.911817005e+002 2.2e-008 0.59
30 3.5e-005 3.9e-002 2.2e-003 1.00e+000 1.910950422e+002 1.911789301e+002 2.0e-008 0.61
31 3.2e-005 3.6e-002 2.0e-003 1.00e+000 1.911009377e+002 1.911764347e+002 1.8e-008 0.63
32 2.9e-005 3.3e-002 1.8e-003 1.00e+000 1.911062417e+002 1.911741871e+002 1.6e-008 0.64
33 2.6e-005 3.0e-002 1.6e-003 1.00e+000 1.911110134e+002 1.911721629e+002 1.5e-008 0.66
34 2.3e-005 2.8e-002 1.5e-003 1.00e+000 1.911153066e+002 1.911703399e+002 1.3e-008 0.67
35 2.1e-005 2.6e-002 1.3e-003 1.00e+000 1.911191693e+002 1.911686983e+002 1.2e-008 0.69
36 1.9e-005 2.4e-002 1.2e-003 1.00e+000 1.911226448e+002 1.911672202e+002 1.1e-008 0.70
37 1.7e-005 2.3e-002 1.1e-003 1.00e+000 1.911257719e+002 1.911658891e+002 9.6e-009 0.72
38 1.5e-005 2.1e-002 9.6e-004 1.00e+000 1.911285857e+002 1.911646907e+002 8.6e-009 0.73
39 1.4e-005 2.0e-002 8.6e-004 1.00e+000 1.911311175e+002 1.911636116e+002 7.8e-009 0.77
40 1.2e-005 1.9e-002 7.8e-004 1.00e+000 1.911333956e+002 1.911626400e+002 7.0e-009 0.78
41 1.1e-005 1.7e-002 7.0e-004 1.00e+000 1.911354455e+002 1.911617652e+002 6.3e-009 0.80
42 1.0e-005 1.6e-002 6.3e-004 1.00e+000 1.911372900e+002 1.911609776e+002 5.7e-009 0.81
43 9.0e-006 1.6e-002 5.7e-004 1.00e+000 1.911389498e+002 1.911602685e+002 5.1e-009 0.83
44 8.1e-006 1.5e-002 5.1e-004 1.00e+000 1.911404433e+002 1.911596300e+002 4.6e-009 0.84
45 7.3e-006 1.4e-002 4.6e-004 1.00e+000 1.911417872e+002 1.911590552e+002 4.1e-009 0.86
46 6.5e-006 1.3e-002 4.1e-004 1.00e+000 1.911429966e+002 1.911585377e+002 3.7e-009 0.88
47 5.9e-006 1.3e-002 3.7e-004 1.00e+000 1.911440848e+002 1.911580717e+002 3.3e-009 0.89
48 5.3e-006 1.2e-002 3.3e-004 1.00e+000 1.911450640e+002 1.911576522e+002 3.0e-009 0.91
49 4.8e-006 1.2e-002 3.0e-004 1.00e+000 1.911459452e+002 1.911572745e+002 2.7e-009 0.94
50 4.3e-006 1.1e-002 2.7e-004 1.00e+000 1.911467381e+002 1.911569345e+002 2.4e-009 0.97
51 3.9e-006 1.1e-002 2.4e-004 1.00e+000 1.911474516e+002 1.911566284e+002 2.2e-009 0.98
52 3.5e-006 1.1e-002 2.2e-004 1.00e+000 1.911480937e+002 1.911563528e+002 2.0e-009 1.00
53 3.1e-006 1.0e-002 2.0e-004 1.00e+000 1.911486715e+002 1.911561046e+002 1.8e-009 1.01
54 2.8e-006 1.0e-002 1.8e-004 1.00e+000 1.911491914e+002 1.911558813e+002 1.6e-009 1.03
55 2.5e-006 9.9e-003 1.6e-004 1.00e+000 1.911496593e+002 1.911556802e+002 1.4e-009 1.05
56 2.3e-006 9.6e-003 1.4e-004 1.00e+000 1.911500803e+002 1.911554991e+002 1.3e-009 1.06
57 2.1e-006 9.4e-003 1.3e-004 1.00e+000 1.911504592e+002 1.911553361e+002 1.2e-009 1.08
58 1.8e-006 9.3e-003 1.2e-004 1.00e+000 1.911508001e+002 1.911551894e+002 1.0e-009 1.09
59 1.7e-006 9.1e-003 1.0e-004 1.00e+000 1.911511070e+002 1.911550573e+002 9.4e-010 1.11
60 1.5e-006 8.9e-003 9.4e-005 1.00e+000 1.911513831e+002 1.911549383e+002 8.5e-010 1.13
61 1.3e-006 8.8e-003 8.5e-005 1.00e+000 1.911516315e+002 1.911548313e+002 7.6e-010 1.14
62 1.2e-006 8.7e-003 7.6e-005 1.00e+000 1.911518551e+002 1.911547349e+002 6.9e-010 1.16
63 1.1e-006 8.5e-003 6.9e-005 1.00e+000 1.911520563e+002 1.911546481e+002 6.2e-010 1.17
64 9.8e-007 8.4e-003 6.2e-005 1.00e+000 1.911522374e+002 1.911545700e+002 5.6e-010 1.19
65 8.8e-007 8.3e-003 5.6e-005 1.00e+000 1.911524003e+002 1.911544997e+002 5.0e-010 1.20
66 8.0e-007 8.3e-003 5.0e-005 1.00e+000 1.911525469e+002 1.911544364e+002 4.5e-010 1.22
67 7.2e-007 8.2e-003 4.5e-005 1.00e+000 1.911526789e+002 1.911543794e+002 4.1e-010 1.23
68 6.4e-007 8.1e-003 4.1e-005 1.00e+000 1.911527976e+002 1.911543281e+002 3.7e-010 1.25
69 5.8e-007 8.0e-003 3.7e-005 1.00e+000 1.911529045e+002 1.911542819e+002 3.3e-010 1.26
70 5.2e-007 8.0e-003 3.3e-005 1.00e+000 1.911530006e+002 1.911542404e+002 3.0e-010 1.30
71 4.7e-007 7.9e-003 3.0e-005 1.00e+000 1.911530872e+002 1.911542029e+002 2.7e-010 1.31
72 4.2e-007 7.9e-003 2.7e-005 1.00e+000 1.911531651e+002 1.911541692e+002 2.4e-010 1.33
73 3.8e-007 7.8e-003 2.4e-005 1.00e+000 1.911532351e+002 1.911541389e+002 2.2e-010 1.34
74 3.4e-007 7.8e-003 2.2e-005 1.00e+000 1.911532982e+002 1.911541116e+002 1.9e-010 1.36
75 3.1e-007 7.7e-003 1.9e-005 1.00e+000 1.911533550e+002 1.911540870e+002 1.7e-010 1.38
76 2.8e-007 7.7e-003 1.7e-005 1.00e+000 1.911534060e+002 1.911540648e+002 1.6e-010 1.39
77 2.5e-007 7.7e-003 1.6e-005 1.00e+000 1.911534520e+002 1.911540449e+002 1.4e-010 1.41
78 2.2e-007 7.6e-003 1.4e-005 1.00e+000 1.911534934e+002 1.911540270e+002 1.3e-010 1.42
79 2.0e-007 7.6e-003 1.3e-005 9.99e-001 1.911535306e+002 1.911540109e+002 1.1e-010 1.44
80 1.8e-007 7.6e-003 1.1e-005 1.00e+000 1.911535641e+002 1.911539964e+002 1.0e-010 1.45
81 1.6e-007 7.5e-003 1.0e-005 1.00e+000 1.911535942e+002 1.911539833e+002 9.3e-011 1.47
82 1.5e-007 7.5e-003 9.3e-006 1.00e+000 1.911536214e+002 1.911539715e+002 8.4e-011 1.48
83 1.3e-007 7.5e-003 8.4e-006 1.00e+000 1.911536458e+002 1.911539609e+002 7.5e-011 1.51
84 1.2e-007 7.5e-003 7.5e-006 1.00e+000 1.911536680e+002 1.911539512e+002 6.8e-011 1.53
85 1.1e-007 7.5e-003 6.8e-006 9.98e-001 1.911536877e+002 1.911539428e+002 6.1e-011 1.55
86 9.7e-008 6.7e-003 6.1e-006 1.01e+000 1.911537059e+002 1.911539348e+002 5.5e-011 1.56
87 8.7e-008 6.0e-003 5.5e-006 1.00e+000 1.911537220e+002 1.911539277e+002 5.0e-011 1.58
88 7.8e-008 5.4e-003 4.9e-006 1.00e+000 1.911537365e+002 1.911539215e+002 4.5e-011 1.59
89 7.1e-008 4.9e-003 4.4e-006 1.00e+000 1.911537494e+002 1.911539159e+002 4.0e-011 1.61
90 6.4e-008 4.4e-003 4.0e-006 1.01e+000 1.911537613e+002 1.911539106e+002 3.6e-011 1.63
91 5.7e-008 4.0e-003 3.6e-006 9.85e-001 1.911537717e+002 1.911539062e+002 3.3e-011 1.64
92 5.3e-008 3.6e-003 3.2e-006 1.00e+000 1.911537810e+002 1.911539023e+002 2.9e-011 1.66
93 4.7e-008 3.2e-003 2.9e-006 9.94e-001 1.911537895e+002 1.911538983e+002 2.6e-011 1.67
94 1.5e-007 9.9e-004 9.0e-007 1.07e+000 1.911538410e+002 1.911538718e+002 7.0e-012 1.69
95 1.1e-007 8.9e-004 8.1e-007 7.04e-001 1.911538429e+002 1.911538720e+002 6.3e-012 1.70
96 8.8e-008 1.5e-004 1.3e-007 -2.70e-001 1.911538614e+002 1.911538660e+002 8.6e-013 1.72
Interior-point optimizer terminated. Time: 1.73.
Optimizer terminated. Time: 1.75
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.9115386139e+002 nrm: 5e+001 Viol. con: 2e-006 var: 0e+000
Dual. obj: 1.9115386600e+002 nrm: 8e+002 Viol. con: 0e+000 var: 1e-003
* End solution on dual form. *
Transforming to primal solution.
Solving took 1.77 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.02
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.05 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.233104002e+005 2.000000000e+000 1.0e+000 0.06
1 1.6e+003 2.3e+003 8.9e+004 -9.71e-001 -1.225520013e+005 2.679729333e+000 7.2e-001 0.13
2 8.4e+002 1.1e+003 4.5e+004 -9.59e-001 -1.200445796e+005 4.945280474e+000 3.7e-001 0.17
3 2.9e+002 4.0e+002 1.6e+004 -9.17e-001 -1.113087376e+005 2.072816967e+001 1.3e-001 0.20
4 2.9e+002 4.0e+002 1.6e+004 -7.71e-001 -1.091098123e+005 1.937300028e+003 1.3e-001 0.23
5 1.3e+002 1.7e+002 6.8e+003 -7.61e-001 -8.906913168e+004 6.018044035e+003 5.6e-002 0.27
6 4.2e+001 5.8e+001 2.3e+003 -4.68e-001 -4.999720900e+004 1.075234596e+004 1.9e-002 0.30
7 2.5e+001 3.4e+001 1.3e+003 1.82e-001 -3.413602831e+004 7.322565378e+003 1.1e-002 0.33
8 1.1e+001 1.5e+001 6.1e+002 4.80e-001 -1.697195987e+004 4.486769586e+003 5.0e-003 0.36
9 6.1e+000 8.4e+000 3.3e+002 7.75e-001 -9.220404437e+003 2.998166520e+003 2.7e-003 0.39
10 2.2e+000 3.0e+000 1.2e+002 9.06e-001 -3.204006126e+003 1.286634528e+003 9.8e-004 0.42
11 9.9e-001 1.4e+000 5.4e+001 9.83e-001 -1.333663544e+003 7.164323668e+002 4.5e-004 0.45
12 8.1e-001 1.1e+000 4.4e+001 9.83e-001 -1.075717202e+003 6.210957337e+002 3.7e-004 0.48
13 5.5e-001 8.3e-001 3.0e+001 9.67e-001 -6.940235793e+002 4.764628639e+002 2.5e-004 0.50
14 2.3e-001 3.5e-001 1.3e+001 9.97e-001 -2.037529491e+002 2.916925867e+002 1.1e-004 0.53
15 1.5e-001 2.4e-001 8.6e+000 1.00e+000 -8.042216528e+001 2.491336976e+002 7.1e-005 0.55
16 6.7e-002 1.3e-001 3.7e+000 1.00e+000 5.191851313e+001 1.952214396e+002 3.1e-005 0.58
17 6.2e-002 1.2e-001 3.5e+000 1.02e+000 6.520124762e+001 1.996736428e+002 3.0e-005 0.61
18 1.9e-002 1.0e-001 1.1e+000 1.01e+000 1.352491808e+002 1.773823998e+002 9.3e-006 0.64
19 6.2e-003 1.8e-001 3.6e-001 1.02e+000 1.577990636e+002 1.714233161e+002 3.0e-006 0.67
20 2.7e-003 1.8e-001 1.6e-001 1.00e+000 1.629851412e+002 1.690318599e+002 1.4e-006 0.70
21 1.5e-003 1.4e-001 9.3e-002 1.00e+000 1.649854865e+002 1.684482459e+002 7.8e-007 0.73
22 6.2e-004 1.4e-001 3.8e-002 1.00e+000 1.665024224e+002 1.679073341e+002 3.2e-007 0.75
23 1.5e-004 1.4e-001 9.6e-003 1.00e+000 1.672484912e+002 1.676050488e+002 8.3e-008 0.78
24 4.2e-005 1.3e-001 2.7e-003 1.01e+000 1.674264736e+002 1.675282817e+002 2.4e-008 0.81
25 1.4e-005 1.1e-001 9.5e-004 1.00e+000 1.674730799e+002 1.675083997e+002 8.5e-009 0.83
26 4.4e-006 1.1e-001 2.9e-004 1.00e+000 1.674900505e+002 1.675008657e+002 2.6e-009 0.86
27 1.7e-006 9.4e-002 1.1e-004 9.99e-001 1.674946659e+002 1.674988049e+002 1.0e-009 0.89
28 6.6e-007 8.6e-002 4.4e-005 1.00e+000 1.674963803e+002 1.674980205e+002 4.0e-010 0.91
29 6.0e-007 7.9e-002 4.0e-005 1.00e+000 1.674964935e+002 1.674979695e+002 3.6e-010 0.94
30 5.4e-007 7.2e-002 3.6e-005 9.99e-001 1.674965942e+002 1.674979226e+002 3.2e-010 0.95
31 4.8e-007 6.5e-002 3.2e-005 1.00e+000 1.674966847e+002 1.674978802e+002 2.9e-010 0.98
32 4.3e-007 5.9e-002 2.9e-005 1.00e+000 1.674967661e+002 1.674978421e+002 2.6e-010 1.02
33 3.9e-007 5.4e-002 2.6e-005 1.00e+000 1.674968394e+002 1.674978076e+002 2.3e-010 1.03
34 3.5e-007 4.9e-002 2.4e-005 1.00e+000 1.674969053e+002 1.674977766e+002 2.1e-010 1.06
35 3.2e-007 4.5e-002 2.1e-005 1.00e+000 1.674969646e+002 1.674977487e+002 1.9e-010 1.09
36 2.8e-007 4.1e-002 1.9e-005 1.00e+000 1.674970179e+002 1.674977236e+002 1.7e-010 1.11
37 2.6e-007 3.8e-002 1.7e-005 1.01e+000 1.674970663e+002 1.674977006e+002 1.5e-010 1.14
38 2.3e-007 3.5e-002 1.5e-005 1.00e+000 1.674971097e+002 1.674976801e+002 1.4e-010 1.16
39 2.1e-007 3.2e-002 1.4e-005 1.00e+000 1.674971485e+002 1.674976619e+002 1.2e-010 1.19
40 1.9e-007 3.0e-002 1.3e-005 1.01e+000 1.674971840e+002 1.674976450e+002 1.1e-010 1.20
41 1.7e-007 2.8e-002 1.1e-005 9.98e-001 1.674972153e+002 1.674976303e+002 1.0e-010 1.23
42 1.5e-007 2.6e-002 1.0e-005 1.00e+000 1.674972435e+002 1.674976170e+002 9.1e-011 1.25
43 1.4e-007 2.4e-002 9.1e-006 1.00e+000 1.674972692e+002 1.674976049e+002 8.2e-011 1.28
44 1.2e-007 2.2e-002 8.2e-006 9.97e-001 1.674972920e+002 1.674975941e+002 7.4e-011 1.30
45 1.1e-007 2.1e-002 7.4e-006 1.00e+000 1.674973127e+002 1.674975843e+002 6.7e-011 1.33
46 9.9e-008 1.9e-002 6.7e-006 9.86e-001 1.674973311e+002 1.674975757e+002 6.0e-011 1.34
47 8.9e-008 1.8e-002 6.0e-006 9.99e-001 1.674973477e+002 1.674975679e+002 5.4e-011 1.38
48 8.0e-008 1.7e-002 5.4e-006 1.01e+000 1.674973633e+002 1.674975604e+002 4.9e-011 1.39
49 7.2e-008 1.6e-002 4.8e-006 1.01e+000 1.674973771e+002 1.674975539e+002 4.4e-011 1.42
50 6.5e-008 1.6e-002 4.4e-006 1.01e+000 1.674973896e+002 1.674975479e+002 4.0e-011 1.45
51 5.9e-008 1.5e-002 3.9e-006 1.01e+000 1.674974008e+002 1.674975425e+002 3.6e-011 1.47
52 5.3e-008 1.4e-002 3.5e-006 1.03e+000 1.674974115e+002 1.674975374e+002 3.3e-011 1.50
53 4.8e-008 1.4e-002 3.2e-006 1.02e+000 1.674974207e+002 1.674975330e+002 3.0e-011 1.53
54 4.3e-008 1.3e-002 2.9e-006 1.01e+000 1.674974287e+002 1.674975292e+002 2.7e-011 1.55
55 3.8e-008 1.3e-002 2.6e-006 9.77e-001 1.674974355e+002 1.674975260e+002 2.4e-011 1.58
56 3.5e-008 1.2e-002 2.3e-006 1.00e+000 1.674974416e+002 1.674975232e+002 2.2e-011 1.59
57 3.1e-008 1.2e-002 2.1e-006 1.02e+000 1.674974476e+002 1.674975204e+002 2.0e-011 1.63
58 2.8e-008 1.2e-002 1.9e-006 9.86e-001 1.674974525e+002 1.674975181e+002 1.8e-011 1.64
59 2.5e-008 1.1e-002 1.7e-006 9.75e-001 1.674974569e+002 1.674975160e+002 1.6e-011 1.67
60 2.3e-008 1.0e-002 1.5e-006 1.03e+000 1.674974615e+002 1.674975138e+002 1.5e-011 1.69
61 2.1e-008 9.0e-003 1.4e-006 1.08e+000 1.674974664e+002 1.674975114e+002 1.4e-011 1.72
62 1.8e-008 8.9e-003 1.2e-006 9.92e-001 1.674974694e+002 1.674975100e+002 1.2e-011 1.73
63 1.7e-008 8.8e-003 1.1e-006 9.94e-001 1.674974722e+002 1.674975087e+002 1.1e-011 1.77
64 2.2e-009 9.6e-004 1.2e-007 1.01e+000 1.674974943e+002 1.674974983e+002 1.2e-012 1.81
65 8.2e-010 5.4e-005 6.9e-009 9.99e-001 1.674974969e+002 1.674974972e+002 6.8e-014 1.83
Interior-point optimizer terminated. Time: 1.84.
Optimizer terminated. Time: 2.19
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6749749693e+002 nrm: 2e+001 Viol. con: 2e-008 var: 0e+000
Dual. obj: 1.6749749716e+002 nrm: 9e+002 Viol. con: 0e+000 var: 3e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 2.21 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.01
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.05 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230151393e+005 2.000000000e+000 1.0e+000 0.06
1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.222908955e+005 2.632027154e+000 7.3e-001 0.11
2 8.7e+002 1.2e+003 4.7e+004 -9.59e-001 -1.199583164e+005 4.667579962e+000 3.8e-001 0.16
3 2.9e+002 4.0e+002 1.6e+004 -9.21e-001 -1.110709764e+005 1.988082230e+001 1.3e-001 0.19
4 2.9e+002 4.0e+002 1.6e+004 -7.72e-001 -1.087642599e+005 2.036778213e+003 1.3e-001 0.22
5 1.3e+002 1.7e+002 6.8e+003 -7.62e-001 -8.906184831e+004 5.971619589e+003 5.6e-002 0.25
6 4.2e+001 5.7e+001 2.3e+003 -4.73e-001 -4.920376808e+004 1.111354497e+004 1.9e-002 0.28
7 2.4e+001 3.3e+001 1.3e+003 1.94e-001 -3.349600608e+004 7.411167170e+003 1.1e-002 0.30
8 1.3e+001 1.8e+001 7.1e+002 4.95e-001 -1.969318564e+004 4.787908621e+003 5.8e-003 0.33
9 5.5e+000 7.6e+000 3.0e+002 7.36e-001 -8.516665761e+003 2.513929779e+003 2.5e-003 0.36
10 2.7e+000 3.6e+000 1.4e+002 9.14e-001 -3.903546716e+003 1.521872982e+003 1.2e-003 0.39
11 1.1e+000 1.5e+000 5.9e+001 9.77e-001 -1.505219894e+003 7.328160359e+002 4.9e-004 0.42
12 8.6e-001 1.2e+000 4.7e+001 9.86e-001 -1.158344610e+003 6.275004860e+002 3.9e-004 0.45
13 6.7e-001 9.8e-001 3.7e+001 9.67e-001 -8.901184139e+002 5.250443583e+002 3.0e-004 0.48
14 3.2e-001 4.7e-001 1.8e+001 9.93e-001 -3.291763504e+002 3.540608482e+002 1.5e-004 0.52
15 1.5e-001 2.3e-001 8.4e+000 9.97e-001 -7.946439579e+001 2.417923557e+002 7.0e-005 0.55
16 8.6e-002 1.4e-001 4.8e+000 1.01e+000 1.958253316e+001 2.032087923e+002 4.0e-005 0.58
17 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.383852134e+001 2.027079728e+002 3.9e-005 0.59
18 6.9e-002 1.2e-001 3.8e+000 1.02e+000 5.218421367e+001 1.985702904e+002 3.2e-005 0.63
19 2.2e-002 8.7e-002 1.2e+000 1.02e+000 1.315401639e+002 1.779820594e+002 1.0e-005 0.64
20 6.9e-003 1.7e-001 3.9e-001 1.01e+000 1.561708478e+002 1.708351592e+002 3.3e-006 0.67
21 2.6e-003 1.6e-001 1.5e-001 1.00e+000 1.626494575e+002 1.681680679e+002 1.2e-006 0.69
22 1.6e-003 1.1e-001 9.4e-002 1.01e+000 1.641729064e+002 1.676798053e+002 7.9e-007 0.72
23 7.5e-004 8.3e-002 4.4e-002 1.00e+000 1.655654799e+002 1.671957901e+002 3.7e-007 0.75
24 3.0e-004 8.7e-002 1.8e-002 1.01e+000 1.662580420e+002 1.669289643e+002 1.5e-007 0.78
25 2.7e-004 8.0e-002 1.6e-002 1.01e+000 1.663098059e+002 1.669134403e+002 1.4e-007 0.80
26 2.5e-004 7.2e-002 1.5e-002 1.01e+000 1.663522847e+002 1.668953991e+002 1.2e-007 0.83
27 2.2e-004 6.6e-002 1.3e-002 1.01e+000 1.663908124e+002 1.668794921e+002 1.1e-007 0.86
28 2.0e-004 6.0e-002 1.2e-002 1.01e+000 1.664252660e+002 1.668649774e+002 1.0e-007 0.88
29 1.8e-004 5.5e-002 1.1e-002 1.01e+000 1.664561630e+002 1.668518206e+002 9.1e-008 0.91
30 1.6e-004 5.0e-002 9.6e-003 1.01e+000 1.664838620e+002 1.668398863e+002 8.2e-008 0.92
31 1.5e-004 4.6e-002 8.6e-003 1.01e+000 1.665087000e+002 1.668290670e+002 7.4e-008 0.95
32 1.3e-004 4.2e-002 7.7e-003 1.01e+000 1.665309758e+002 1.668192612e+002 6.6e-008 0.98
33 1.2e-004 3.9e-002 7.0e-003 1.00e+000 1.665509577e+002 1.668103790e+002 6.0e-008 1.00
34 1.1e-004 3.6e-002 6.3e-003 1.00e+000 1.665688842e+002 1.668023352e+002 5.4e-008 1.03
35 9.5e-005 3.3e-002 5.7e-003 1.00e+000 1.665849694e+002 1.667950525e+002 4.8e-008 1.06
36 8.6e-005 3.0e-002 5.1e-003 1.00e+000 1.665994047e+002 1.667884606e+002 4.4e-008 1.08
37 7.7e-005 2.8e-002 4.6e-003 1.00e+000 1.666123613e+002 1.667824968e+002 3.9e-008 1.11
38 6.9e-005 2.6e-002 4.1e-003 1.00e+000 1.666239916e+002 1.667771016e+002 3.5e-008 1.14
39 6.2e-005 2.4e-002 3.7e-003 1.00e+000 1.666344329e+002 1.667722220e+002 3.2e-008 1.17
40 5.6e-005 2.3e-002 3.3e-003 1.00e+000 1.666438077e+002 1.667678104e+002 2.9e-008 1.20
41 5.1e-005 2.1e-002 3.0e-003 1.00e+000 1.666522257e+002 1.667638223e+002 2.6e-008 1.23
42 4.6e-005 2.0e-002 2.7e-003 1.00e+000 1.666597853e+002 1.667602173e+002 2.3e-008 1.26
43 4.1e-005 1.9e-002 2.4e-003 1.00e+000 1.666665750e+002 1.667569603e+002 2.1e-008 1.30
44 3.7e-005 1.7e-002 2.2e-003 1.00e+000 1.666726733e+002 1.667540169e+002 1.9e-008 1.33
45 3.3e-005 1.7e-002 2.0e-003 1.00e+000 1.666781516e+002 1.667513578e+002 1.7e-008 1.36
46 3.0e-005 1.6e-002 1.8e-003 1.00e+000 1.666830730e+002 1.667489572e+002 1.5e-008 1.39
47 2.7e-005 1.5e-002 1.6e-003 1.00e+000 1.666874944e+002 1.667467894e+002 1.4e-008 1.42
48 2.4e-005 1.4e-002 1.4e-003 1.00e+000 1.666914670e+002 1.667448321e+002 1.2e-008 1.45
49 2.2e-005 1.4e-002 1.3e-003 1.00e+000 1.666950366e+002 1.667430651e+002 1.1e-008 1.48
50 2.0e-005 1.3e-002 1.2e-003 1.00e+000 1.666982446e+002 1.667414700e+002 1.0e-008 1.51
51 1.8e-005 1.3e-002 1.0e-003 1.00e+000 1.667011277e+002 1.667400296e+002 9.0e-009 1.55
52 1.6e-005 1.2e-002 9.4e-004 1.00e+000 1.667037191e+002 1.667387305e+002 8.1e-009 1.56
53 1.4e-005 1.2e-002 8.5e-004 1.00e+000 1.667060483e+002 1.667375586e+002 7.3e-009 1.59
54 1.3e-005 1.1e-002 7.6e-004 1.00e+000 1.667081420e+002 1.667365013e+002 6.5e-009 1.61
55 1.2e-005 1.1e-002 6.9e-004 1.00e+000 1.667100242e+002 1.667355475e+002 5.9e-009 1.64
56 1.0e-005 1.1e-002 6.2e-004 1.00e+000 1.667117164e+002 1.667346874e+002 5.3e-009 1.66
57 9.4e-006 1.0e-002 5.6e-004 1.00e+000 1.667132378e+002 1.667339118e+002 4.8e-009 1.69
58 8.4e-006 1.0e-002 5.0e-004 1.00e+000 1.667146057e+002 1.667332126e+002 4.3e-009 1.70
59 7.6e-006 1.0e-002 4.5e-004 1.00e+000 1.667158358e+002 1.667325821e+002 3.9e-009 1.73
60 6.8e-006 9.8e-003 4.1e-004 1.00e+000 1.667169419e+002 1.667320140e+002 3.5e-009 1.75
61 6.2e-006 9.7e-003 3.7e-004 1.00e+000 1.667179367e+002 1.667315015e+002 3.1e-009 1.78
62 5.5e-006 9.5e-003 3.3e-004 9.99e-001 1.667188312e+002 1.667310403e+002 2.8e-009 1.81
63 5.0e-006 9.4e-003 3.0e-004 1.00e+000 1.667196359e+002 1.667306230e+002 2.5e-009 1.83
64 4.5e-006 9.2e-003 2.7e-004 1.00e+000 1.667203596e+002 1.667302484e+002 2.3e-009 1.86
65 4.0e-006 9.1e-003 2.4e-004 1.00e+000 1.667210104e+002 1.667299103e+002 2.1e-009 1.89
66 3.6e-006 9.0e-003 2.2e-004 1.00e+000 1.667215958e+002 1.667296056e+002 1.9e-009 1.92
67 3.3e-006 8.9e-003 1.9e-004 9.98e-001 1.667221221e+002 1.667293317e+002 1.7e-009 1.95
68 2.9e-006 8.8e-003 1.7e-004 9.99e-001 1.667225955e+002 1.667290845e+002 1.5e-009 1.97
69 2.6e-006 8.7e-003 1.6e-004 1.00e+000 1.667230213e+002 1.667288609e+002 1.3e-009 2.00
70 2.4e-006 8.6e-003 1.4e-004 1.00e+000 1.667234045e+002 1.667286595e+002 1.2e-009 2.03
71 2.1e-006 8.5e-003 1.3e-004 9.98e-001 1.667237489e+002 1.667284790e+002 1.1e-009 2.05
72 1.9e-006 8.5e-003 1.1e-004 9.98e-001 1.667240587e+002 1.667283163e+002 9.8e-010 2.08
73 1.7e-006 8.4e-003 1.0e-004 1.01e+000 1.667243376e+002 1.667281686e+002 8.9e-010 2.11
74 1.6e-006 8.4e-003 9.3e-005 9.98e-001 1.667245884e+002 1.667280369e+002 8.0e-010 2.13
75 1.4e-006 8.3e-003 8.4e-005 9.93e-001 1.667248139e+002 1.667279186e+002 7.2e-010 2.16
76 1.3e-006 8.2e-003 7.5e-005 1.00e+000 1.667250169e+002 1.667278110e+002 6.5e-010 2.17
77 1.1e-006 8.2e-003 6.8e-005 9.98e-001 1.667251996e+002 1.667277144e+002 5.8e-010 2.20
78 1.0e-006 8.2e-003 6.1e-005 1.00e+000 1.667253640e+002 1.667276270e+002 5.2e-010 2.23
79 9.2e-007 8.1e-003 5.5e-005 9.99e-001 1.667255118e+002 1.667275488e+002 4.7e-010 2.25
80 8.3e-007 7.3e-003 4.9e-005 1.01e+000 1.667256488e+002 1.667274753e+002 4.2e-010 2.28
81 7.5e-007 6.6e-003 4.4e-005 1.01e+000 1.667257736e+002 1.667274082e+002 3.8e-010 2.30
82 6.7e-007 5.9e-003 4.0e-005 9.93e-001 1.667258804e+002 1.667273520e+002 3.5e-010 2.33
83 6.1e-007 5.3e-003 3.6e-005 9.88e-001 1.667259763e+002 1.667273014e+002 3.1e-010 2.34
84 5.5e-007 4.8e-003 3.2e-005 1.01e+000 1.667260657e+002 1.667272532e+002 2.8e-010 2.38
85 4.9e-007 4.3e-003 2.9e-005 1.00e+000 1.667261432e+002 1.667272119e+002 2.5e-010 2.41
86 4.4e-007 3.9e-003 2.6e-005 1.00e+000 1.667262129e+002 1.667271746e+002 2.3e-010 2.44
87 4.0e-007 3.5e-003 2.4e-005 1.00e+000 1.667262755e+002 1.667271411e+002 2.1e-010 2.45
88 3.6e-007 3.1e-003 2.1e-005 1.01e+000 1.667263337e+002 1.667271096e+002 1.9e-010 2.48
89 3.2e-007 2.8e-003 1.9e-005 1.01e+000 1.667263860e+002 1.667270813e+002 1.7e-010 2.52
90 2.9e-007 2.5e-003 1.7e-005 9.93e-001 1.667264312e+002 1.667270571e+002 1.5e-010 2.55
91 2.6e-007 2.3e-003 1.6e-005 9.96e-001 1.667264719e+002 1.667270353e+002 1.4e-010 2.58
92 2.3e-007 2.1e-003 1.4e-005 9.87e-001 1.667265084e+002 1.667270159e+002 1.2e-010 2.61
93 2.1e-007 1.9e-003 1.3e-005 9.76e-001 1.667265412e+002 1.667269986e+002 1.1e-010 2.63
94 1.9e-007 1.7e-003 1.1e-005 1.00e+000 1.667265709e+002 1.667269825e+002 9.9e-011 2.64
95 1.7e-007 1.5e-003 1.0e-005 1.01e+000 1.667265984e+002 1.667269675e+002 8.9e-011 2.66
96 1.5e-007 1.4e-003 9.2e-006 1.00e+000 1.667266224e+002 1.667269544e+002 8.0e-011 2.69
97 1.4e-007 1.2e-003 8.2e-006 9.93e-001 1.667266439e+002 1.667269428e+002 7.2e-011 2.70
98 1.2e-007 1.1e-003 7.4e-006 1.00e+000 1.667266632e+002 1.667269323e+002 6.5e-011 2.72
99 1.1e-007 9.9e-004 6.7e-006 1.01e+000 1.667266817e+002 1.667269222e+002 5.9e-011 2.73
100 1.0e-007 8.9e-004 6.0e-006 9.99e-001 1.667266973e+002 1.667269137e+002 5.3e-011 2.75
101 9.1e-008 8.0e-004 5.4e-006 9.98e-001 1.667267113e+002 1.667269061e+002 4.8e-011 2.78
102 8.2e-008 7.2e-004 4.9e-006 9.98e-001 1.667267239e+002 1.667268993e+002 4.3e-011 2.80
103 7.4e-008 6.5e-004 4.4e-006 9.93e-001 1.667267353e+002 1.667268931e+002 3.9e-011 2.81
104 6.6e-008 5.8e-004 3.9e-006 1.00e+000 1.667267455e+002 1.667268876e+002 3.5e-011 2.83
105 6.0e-008 5.2e-004 3.5e-006 1.00e+000 1.667267547e+002 1.667268825e+002 3.1e-011 2.86
106 5.4e-008 4.7e-004 3.2e-006 1.03e+000 1.667267641e+002 1.667268773e+002 2.9e-011 2.88
107 4.8e-008 4.2e-004 2.9e-006 1.00e+000 1.667267714e+002 1.667268733e+002 2.6e-011 2.89
108 4.4e-008 3.8e-004 2.6e-006 1.04e+000 1.667267792e+002 1.667268688e+002 2.4e-011 2.91
109 3.9e-008 3.4e-004 2.3e-006 1.02e+000 1.667267855e+002 1.667268654e+002 2.1e-011 2.92
110 3.5e-008 3.1e-004 2.1e-006 9.60e-001 1.667267907e+002 1.667268626e+002 1.9e-011 2.95
111 3.2e-008 2.8e-004 1.9e-006 9.08e-001 1.667267954e+002 1.667268602e+002 1.7e-011 2.97
112 2.9e-008 2.5e-004 1.7e-006 1.13e+000 1.667268022e+002 1.667268556e+002 1.7e-011 2.98
113 2.7e-008 2.3e-004 1.5e-006 1.32e+000 1.667268050e+002 1.667268563e+002 1.5e-011 3.00
114 2.4e-008 2.0e-004 1.4e-006 1.53e+000 1.667268084e+002 1.667268535e+002 1.3e-011 3.03
115 2.8e-008 1.8e-004 1.2e-006 8.03e-001 1.667268111e+002 1.667268529e+002 1.2e-011 3.05
116 2.4e-008 1.6e-004 1.1e-006 1.59e+000 1.667268135e+002 1.667268525e+002 1.1e-011 3.08
117 2.5e-008 1.5e-004 1.0e-006 8.61e-001 1.667268158e+002 1.667268514e+002 9.9e-012 3.09
118 2.6e-008 1.3e-004 9.0e-007 1.97e+000 1.667268177e+002 1.667268520e+002 8.9e-012 3.11
119 2.1e-008 1.2e-004 8.1e-007 7.15e-001 1.667268196e+002 1.667268517e+002 8.0e-012 3.13
120 2.1e-008 1.1e-004 7.3e-007 8.03e-001 1.667268214e+002 1.667268505e+002 7.2e-012 3.16
121 2.0e-008 9.7e-005 6.6e-007 1.47e+000 1.667268230e+002 1.667268496e+002 6.5e-012 3.17
122 3.7e-008 8.7e-005 5.9e-007 1.34e+000 1.667268262e+002 1.667268435e+002 6.4e-012 3.19
123 8.1e-009 1.9e-005 1.3e-007 5.58e-001 1.667268359e+002 1.667268404e+002 2.1e-012 3.20
Interior-point optimizer terminated. Time: 3.22.
Optimizer terminated. Time: 3.41
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6672683587e+002 nrm: 2e+001 Viol. con: 2e-007 var: 0e+000
Dual. obj: 1.6672684044e+002 nrm: 9e+002 Viol. con: 0e+000 var: 1e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.42 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.02
Lin. dep. - number : 0
Presolve terminated. Time: 0.05
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230367299e+005 2.000000000e+000 1.0e+000 0.11
1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223177959e+005 2.624161175e+000 7.3e-001 0.17
2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200115500e+005 4.619755808e+000 3.9e-001 0.19
3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110425623e+005 1.990333265e+001 1.3e-001 0.22
4 2.9e+002 4.0e+002 1.6e+004 -7.72e-001 -1.087589153e+005 2.019810514e+003 1.3e-001 0.23
5 1.2e+002 1.7e+002 6.6e+003 -7.62e-001 -8.824278719e+004 6.154217525e+003 5.4e-002 0.27
6 3.7e+001 5.1e+001 2.0e+003 -4.61e-001 -4.476112768e+004 1.167132160e+004 1.6e-002 0.28
7 2.2e+001 3.0e+001 1.2e+003 2.75e-001 -3.063966158e+004 7.474243589e+003 9.9e-003 0.30
8 1.1e+001 1.5e+001 5.9e+002 5.48e-001 -1.642195765e+004 4.292844700e+003 4.8e-003 0.33
9 3.9e+000 5.4e+000 2.1e+002 7.94e-001 -5.958485855e+003 1.971988498e+003 1.8e-003 0.34
10 2.1e+000 2.9e+000 1.2e+002 9.52e-001 -3.110149364e+003 1.278438421e+003 9.6e-004 0.36
11 9.0e-001 1.2e+000 4.9e+001 9.86e-001 -1.221078923e+003 6.471050317e+002 4.1e-004 0.38
12 7.9e-001 1.1e+000 4.3e+001 9.75e-001 -1.085729215e+003 5.843915144e+002 3.6e-004 0.41
13 5.8e-001 8.0e-001 3.2e+001 9.84e-001 -7.316011171e+002 4.856791845e+002 2.6e-004 0.42
14 1.7e-001 2.6e-001 9.7e+000 9.93e-001 -1.227210245e+002 2.487672938e+002 8.1e-005 0.44
15 9.7e-002 1.6e-001 5.5e+000 1.01e+000 -1.692352740e+000 2.075963319e+002 4.6e-005 0.47
16 9.7e-002 1.6e-001 5.4e+000 1.02e+000 -1.377388483e-002 2.077973473e+002 4.6e-005 0.48
17 8.8e-002 1.4e-001 5.0e+000 1.02e+000 1.845490888e+001 2.082386369e+002 4.2e-005 0.50
18 5.6e-002 9.6e-002 3.2e+000 1.02e+000 7.295056431e+001 1.928781185e+002 2.7e-005 0.53
19 2.2e-002 8.1e-002 1.3e+000 1.02e+000 1.303339745e+002 1.776074987e+002 1.1e-005 0.55
20 5.8e-003 2.4e-001 3.4e-001 1.01e+000 1.575636641e+002 1.701714044e+002 2.8e-006 0.56
21 3.7e-003 2.3e-001 2.1e-001 1.00e+000 1.608118583e+002 1.687742368e+002 1.8e-006 0.59
22 1.4e-003 1.2e-001 8.3e-002 1.00e+000 1.643876774e+002 1.674712431e+002 7.0e-007 0.61
23 7.3e-004 8.2e-002 4.4e-002 1.01e+000 1.654369166e+002 1.670592479e+002 3.7e-007 0.63
24 2.7e-004 9.1e-002 1.6e-002 1.01e+000 1.661624064e+002 1.667675170e+002 1.4e-007 0.64
25 2.4e-004 8.4e-002 1.5e-002 1.01e+000 1.662094560e+002 1.667539697e+002 1.3e-007 0.67
26 2.2e-004 7.6e-002 1.3e-002 1.01e+000 1.662476237e+002 1.667374852e+002 1.1e-007 0.69
27 2.0e-004 7.0e-002 1.2e-002 1.01e+000 1.662822711e+002 1.667229872e+002 1.0e-007 0.70
28 1.8e-004 6.3e-002 1.1e-002 1.01e+000 1.663132568e+002 1.667097689e+002 9.2e-008 0.73
29 1.6e-004 5.8e-002 9.6e-003 1.01e+000 1.663410555e+002 1.666978076e+002 8.3e-008 0.75
30 1.4e-004 5.3e-002 8.7e-003 1.01e+000 1.663659859e+002 1.666869737e+002 7.4e-008 0.77
31 1.3e-004 4.8e-002 7.8e-003 1.01e+000 1.663883477e+002 1.666771639e+002 6.7e-008 0.80
32 1.2e-004 4.4e-002 7.0e-003 1.01e+000 1.664084069e+002 1.666682820e+002 6.0e-008 0.81
33 1.0e-004 4.1e-002 6.3e-003 1.01e+000 1.664264025e+002 1.666602416e+002 5.4e-008 0.83
34 9.4e-005 3.8e-002 5.7e-003 1.01e+000 1.664425484e+002 1.666529642e+002 4.9e-008 0.86
35 8.4e-005 3.5e-002 5.1e-003 1.01e+000 1.664570364e+002 1.666463787e+002 4.4e-008 0.88
36 7.6e-005 3.2e-002 4.6e-003 1.01e+000 1.664700382e+002 1.666404204e+002 4.0e-008 0.89
37 6.8e-005 3.0e-002 4.1e-003 1.00e+000 1.664817075e+002 1.666350306e+002 3.6e-008 0.91
38 6.2e-005 2.7e-002 3.7e-003 1.00e+000 1.664921820e+002 1.666301560e+002 3.2e-008 0.94
39 5.5e-005 2.6e-002 3.4e-003 1.00e+000 1.665015850e+002 1.666257480e+002 2.9e-008 0.95
40 5.0e-005 2.4e-002 3.0e-003 1.00e+000 1.665100269e+002 1.666217628e+002 2.6e-008 0.97
41 4.5e-005 2.2e-002 2.7e-003 1.00e+000 1.665176067e+002 1.666181603e+002 2.3e-008 0.98
42 4.0e-005 2.1e-002 2.5e-003 1.00e+000 1.665244131e+002 1.666149044e+002 2.1e-008 1.02
43 3.6e-005 2.0e-002 2.2e-003 1.00e+000 1.665305257e+002 1.666119623e+002 1.9e-008 1.03
44 3.3e-005 1.8e-002 2.0e-003 1.00e+000 1.665360156e+002 1.666093042e+002 1.7e-008 1.05
45 2.9e-005 1.7e-002 1.8e-003 1.00e+000 1.665409467e+002 1.666069030e+002 1.5e-008 1.06
46 2.7e-005 1.6e-002 1.6e-003 1.00e+000 1.665453764e+002 1.666047344e+002 1.4e-008 1.09
47 2.4e-005 1.6e-002 1.4e-003 1.00e+000 1.665493560e+002 1.666027761e+002 1.2e-008 1.11
48 2.1e-005 1.5e-002 1.3e-003 1.00e+000 1.665529316e+002 1.666010080e+002 1.1e-008 1.13
49 1.9e-005 1.4e-002 1.2e-003 1.00e+000 1.665561446e+002 1.665994120e+002 1.0e-008 1.14
50 1.7e-005 1.4e-002 1.1e-003 1.00e+000 1.665590319e+002 1.665979717e+002 9.1e-009 1.16
51 1.6e-005 1.3e-002 9.5e-004 1.00e+000 1.665616269e+002 1.665966720e+002 8.2e-009 1.19
52 1.4e-005 1.3e-002 8.5e-004 1.00e+000 1.665639595e+002 1.665954994e+002 7.4e-009 1.20
53 1.3e-005 1.2e-002 7.7e-004 1.00e+000 1.665660563e+002 1.665944418e+002 6.6e-009 1.22
54 1.1e-005 1.2e-002 6.9e-004 1.00e+000 1.665679413e+002 1.665934881e+002 6.0e-009 1.24
55 1.0e-005 1.1e-002 6.2e-004 1.00e+000 1.665696363e+002 1.665926281e+002 5.4e-009 1.27
56 9.2e-006 1.1e-002 5.6e-004 1.00e+000 1.665711603e+002 1.665918528e+002 4.8e-009 1.28
57 8.3e-006 1.1e-002 5.0e-004 1.00e+000 1.665725308e+002 1.665911540e+002 4.3e-009 1.30
58 7.5e-006 1.1e-002 4.5e-004 1.00e+000 1.665737634e+002 1.665905242e+002 3.9e-009 1.31
59 6.7e-006 1.0e-002 4.1e-004 1.00e+000 1.665748720e+002 1.665899567e+002 3.5e-009 1.33
60 6.1e-006 1.0e-002 3.7e-004 1.00e+000 1.665758690e+002 1.665894453e+002 3.2e-009 1.36
61 5.5e-006 1.0e-002 3.3e-004 1.00e+000 1.665767658e+002 1.665889845e+002 2.9e-009 1.38
62 4.9e-006 9.8e-003 3.0e-004 1.00e+000 1.665775725e+002 1.665885693e+002 2.6e-009 1.39
63 4.4e-006 9.6e-003 2.7e-004 1.00e+000 1.665782981e+002 1.665881953e+002 2.3e-009 1.41
64 4.0e-006 9.5e-003 2.4e-004 1.00e+000 1.665789507e+002 1.665878582e+002 2.1e-009 1.44
65 3.6e-006 9.4e-003 2.2e-004 1.00e+000 1.665795377e+002 1.665875545e+002 1.9e-009 1.45
66 3.2e-006 9.2e-003 2.0e-004 1.00e+000 1.665800657e+002 1.665872808e+002 1.7e-009 1.47
67 2.9e-006 9.1e-003 1.8e-004 1.00e+000 1.665805405e+002 1.665870342e+002 1.5e-009 1.49
68 2.6e-006 9.0e-003 1.6e-004 1.00e+000 1.665809676e+002 1.665868119e+002 1.4e-009 1.50
69 2.3e-006 9.0e-003 1.4e-004 1.00e+000 1.665813517e+002 1.665866116e+002 1.2e-009 1.52
70 2.1e-006 8.9e-003 1.3e-004 1.00e+000 1.665816973e+002 1.665864312e+002 1.1e-009 1.53
71 1.9e-006 8.8e-003 1.2e-004 1.00e+000 1.665820082e+002 1.665862687e+002 9.9e-010 1.55
72 1.7e-006 8.7e-003 1.0e-004 1.00e+000 1.665822878e+002 1.665861224e+002 9.0e-010 1.56
73 1.5e-006 8.7e-003 9.4e-005 1.00e+000 1.665825394e+002 1.665859905e+002 8.1e-010 1.59
74 1.4e-006 8.6e-003 8.4e-005 1.00e+000 1.665827657e+002 1.665858718e+002 7.3e-010 1.61
75 1.2e-006 8.6e-003 7.6e-005 1.00e+000 1.665829694e+002 1.665857648e+002 6.5e-010 1.63
76 1.1e-006 8.5e-003 6.8e-005 1.00e+000 1.665831525e+002 1.665856684e+002 5.9e-010 1.64
77 1.0e-006 8.5e-003 6.1e-005 1.00e+000 1.665833173e+002 1.665855817e+002 5.3e-010 1.66
78 9.1e-007 8.4e-003 5.5e-005 1.00e+000 1.665834656e+002 1.665855035e+002 4.8e-010 1.67
79 8.2e-007 8.4e-003 5.0e-005 1.00e+000 1.665835989e+002 1.665854331e+002 4.3e-010 1.69
80 7.4e-007 8.4e-003 4.5e-005 1.00e+000 1.665837188e+002 1.665853696e+002 3.9e-010 1.70
81 6.6e-007 8.3e-003 4.0e-005 1.00e+000 1.665838267e+002 1.665853124e+002 3.5e-010 1.72
82 6.0e-007 8.3e-003 3.6e-005 1.00e+000 1.665839237e+002 1.665852609e+002 3.1e-010 1.74
83 5.4e-007 8.3e-003 3.3e-005 1.00e+000 1.665840110e+002 1.665852144e+002 2.8e-010 1.75
84 4.8e-007 8.3e-003 2.9e-005 1.00e+000 1.665840895e+002 1.665851725e+002 2.5e-010 1.77
85 4.4e-007 8.2e-003 2.6e-005 1.00e+000 1.665841600e+002 1.665851347e+002 2.3e-010 1.78
86 3.9e-007 8.2e-003 2.4e-005 1.00e+000 1.665842235e+002 1.665851007e+002 2.0e-010 1.81
87 3.5e-007 8.2e-003 2.1e-005 1.00e+000 1.665842805e+002 1.665850701e+002 1.8e-010 1.83
88 3.2e-007 8.2e-003 1.9e-005 1.00e+000 1.665843319e+002 1.665850424e+002 1.7e-010 1.84
89 2.9e-007 8.2e-003 1.7e-005 1.00e+000 1.665843780e+002 1.665850175e+002 1.5e-010 1.86
90 2.6e-007 8.1e-003 1.6e-005 9.99e-001 1.665844195e+002 1.665849951e+002 1.3e-010 1.88
91 2.3e-007 8.1e-003 1.4e-005 9.99e-001 1.665844568e+002 1.665849749e+002 1.2e-010 1.89
92 2.1e-007 8.1e-003 1.3e-005 1.00e+000 1.665844904e+002 1.665849566e+002 1.1e-010 1.91
93 1.9e-007 8.1e-003 1.1e-005 9.99e-001 1.665845206e+002 1.665849402e+002 9.8e-011 1.92
94 1.7e-007 8.1e-003 1.0e-005 1.00e+000 1.665845478e+002 1.665849254e+002 8.8e-011 1.94
95 1.5e-007 8.1e-003 9.2e-006 1.00e+000 1.665845722e+002 1.665849121e+002 7.9e-011 1.95
96 1.4e-007 8.0e-003 8.3e-006 1.00e+000 1.665845942e+002 1.665849001e+002 7.1e-011 1.97
97 1.2e-007 8.0e-003 7.5e-006 1.00e+000 1.665846140e+002 1.665848893e+002 6.4e-011 1.99
98 1.1e-007 8.0e-003 6.7e-006 1.00e+000 1.665846318e+002 1.665848796e+002 5.8e-011 2.00
99 1.0e-007 8.0e-003 6.1e-006 1.00e+000 1.665846478e+002 1.665848708e+002 5.2e-011 2.02
100 9.0e-008 8.0e-003 5.4e-006 1.00e+000 1.665846622e+002 1.665848629e+002 4.7e-011 2.03
101 8.1e-008 8.0e-003 4.9e-006 9.93e-001 1.665846752e+002 1.665848558e+002 4.2e-011 2.05
102 7.3e-008 7.9e-003 4.4e-006 9.87e-001 1.665846868e+002 1.665848495e+002 3.8e-011 2.06
103 6.5e-008 7.1e-003 4.0e-006 1.00e+000 1.665846973e+002 1.665848437e+002 3.4e-011 2.08
104 5.9e-008 6.4e-003 3.6e-006 9.98e-001 1.665847068e+002 1.665848385e+002 3.1e-011 2.09
105 5.3e-008 5.8e-003 3.2e-006 1.00e+000 1.665847153e+002 1.665848339e+002 2.8e-011 2.11
106 4.8e-008 5.2e-003 2.9e-006 9.96e-001 1.665847229e+002 1.665848297e+002 2.5e-011 2.14
107 4.3e-008 4.7e-003 2.6e-006 1.00e+000 1.665847298e+002 1.665848258e+002 2.2e-011 2.16
108 3.9e-008 4.2e-003 2.3e-006 1.00e+000 1.665847360e+002 1.665848224e+002 2.0e-011 2.17
109 3.5e-008 3.8e-003 2.1e-006 1.00e+000 1.665847416e+002 1.665848194e+002 1.8e-011 2.19
110 3.1e-008 3.4e-003 1.9e-006 1.02e+000 1.665847469e+002 1.665848164e+002 1.6e-011 2.20
111 2.8e-008 3.1e-003 1.7e-006 9.99e-001 1.665847513e+002 1.665848139e+002 1.5e-011 2.22
112 2.5e-008 2.8e-003 1.5e-006 9.98e-001 1.665847554e+002 1.665848117e+002 1.3e-011 2.23
113 2.3e-008 2.5e-003 1.4e-006 9.85e-001 1.665847590e+002 1.665848098e+002 1.2e-011 2.25
114 2.1e-008 2.2e-003 1.2e-006 1.04e+000 1.665847628e+002 1.665848076e+002 1.1e-011 2.27
115 1.9e-008 2.0e-003 1.1e-006 1.02e+000 1.665847660e+002 1.665848058e+002 1.0e-011 2.28
116 1.7e-008 1.8e-003 1.0e-006 1.02e+000 1.665847687e+002 1.665848043e+002 9.1e-012 2.30
117 1.5e-008 1.6e-003 9.1e-007 9.95e-001 1.665847710e+002 1.665848030e+002 8.2e-012 2.31
118 1.4e-008 1.5e-003 8.2e-007 1.02e+000 1.665847733e+002 1.665848018e+002 7.4e-012 2.33
119 1.2e-008 1.3e-003 7.4e-007 1.05e+000 1.665847755e+002 1.665848005e+002 6.8e-012 2.34
120 1.2e-008 1.2e-003 6.6e-007 1.02e+000 1.665847773e+002 1.665847995e+002 6.2e-012 2.36
121 1.0e-008 1.1e-003 6.0e-007 1.03e+000 1.665847789e+002 1.665847986e+002 5.7e-012 2.38
122 9.3e-009 9.6e-004 5.4e-007 9.09e-001 1.665847801e+002 1.665847980e+002 5.1e-012 2.39
123 8.2e-009 8.7e-004 4.8e-007 9.44e-001 1.665847813e+002 1.665847974e+002 4.6e-012 2.41
124 7.4e-009 7.8e-004 4.3e-007 9.85e-001 1.665847823e+002 1.665847968e+002 4.1e-012 2.42
125 6.6e-009 7.0e-004 3.9e-007 9.76e-001 1.665847832e+002 1.665847963e+002 3.7e-012 2.44
126 5.9e-009 6.3e-004 3.5e-007 9.68e-001 1.665847841e+002 1.665847959e+002 3.3e-012 2.47
127 5.8e-009 5.7e-004 3.2e-007 9.63e-001 1.665847848e+002 1.665847955e+002 3.0e-012 2.48
128 6.0e-009 5.1e-004 2.9e-007 1.06e+000 1.665847857e+002 1.665847950e+002 2.8e-012 2.50
129 5.0e-009 4.6e-004 2.6e-007 1.03e+000 1.665847864e+002 1.665847946e+002 2.5e-012 2.52
130 4.8e-008 1.2e-005 6.9e-009 5.85e-001 1.665847935e+002 1.665847939e+002 6.4e-013 2.53
Interior-point optimizer terminated. Time: 2.53.
Optimizer terminated. Time: 2.55
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6658479352e+002 nrm: 2e+001 Viol. con: 2e-006 var: 0e+000
Dual. obj: 1.6658479388e+002 nrm: 9e+002 Viol. con: 0e+000 var: 1e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 2.57 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.03
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.06 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.06
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230611920e+005 2.000000000e+000 1.0e+000 0.11
1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223441402e+005 2.620939131e+000 7.3e-001 0.17
2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200465475e+005 4.604944192e+000 3.9e-001 0.20
3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.111151913e+005 1.975168570e+001 1.3e-001 0.23
4 2.9e+002 4.0e+002 1.6e+004 -7.74e-001 -1.087860966e+005 2.021719332e+003 1.3e-001 0.27
5 1.2e+002 1.6e+002 6.2e+003 -7.62e-001 -8.653061924e+004 6.546460869e+003 5.1e-002 0.28
6 3.2e+001 4.3e+001 1.7e+003 -4.34e-001 -3.914874868e+004 1.208990243e+004 1.4e-002 0.31
7 2.0e+001 2.7e+001 1.1e+003 3.80e-001 -2.753458371e+004 7.574446414e+003 8.8e-003 0.34
8 1.0e+001 1.4e+001 5.5e+002 6.05e-001 -1.530365724e+004 4.262314015e+003 4.5e-003 0.38
9 3.8e+000 5.2e+000 2.0e+002 8.13e-001 -5.768407625e+003 1.912503432e+003 1.7e-003 0.41
10 2.0e+000 2.8e+000 1.1e+002 9.53e-001 -2.976425645e+003 1.211933297e+003 9.2e-004 0.44
11 8.2e-001 1.1e+000 4.5e+001 9.88e-001 -1.098334500e+003 6.155266626e+002 3.8e-004 0.45
12 8.0e-001 1.1e+000 4.4e+001 9.52e-001 -1.086365412e+003 5.941412477e+002 3.6e-004 0.48
13 5.0e-001 7.0e-001 2.8e+001 9.73e-001 -6.382234490e+002 4.269078080e+002 2.3e-004 0.52
14 3.0e-001 4.3e-001 1.7e+001 1.00e+000 -3.113600008e+002 3.356962679e+002 1.4e-004 0.55
15 1.0e-001 1.7e-001 5.9e+000 1.00e+000 -1.402781983e+001 2.118104875e+002 5.0e-005 0.58
16 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.610256858e+001 2.065513892e+002 4.0e-005 0.61
17 5.2e-002 1.0e-001 3.0e+000 1.02e+000 8.009129486e+001 1.917287861e+002 2.5e-005 0.64
18 1.3e-002 1.4e-001 7.4e-001 1.02e+000 1.458640861e+002 1.737450689e+002 6.2e-006 0.66
19 4.4e-003 1.7e-001 2.5e-001 1.00e+000 1.595364198e+002 1.690541136e+002 2.1e-006 0.69
20 2.7e-003 1.9e-001 1.6e-001 1.01e+000 1.622658337e+002 1.680627368e+002 1.3e-006 0.72
21 8.8e-004 1.2e-001 5.3e-002 1.01e+000 1.651196901e+002 1.670863273e+002 4.5e-007 0.75
22 4.3e-004 8.9e-002 2.6e-002 1.01e+000 1.658318921e+002 1.668022924e+002 2.2e-007 0.78
23 1.7e-004 8.9e-002 1.0e-002 1.01e+000 1.662462251e+002 1.666328302e+002 9.0e-008 0.80
24 1.5e-004 8.2e-002 9.4e-003 1.01e+000 1.662762604e+002 1.666241679e+002 8.1e-008 0.83
25 1.4e-004 7.5e-002 8.4e-003 1.01e+000 1.663003089e+002 1.666133019e+002 7.3e-008 0.86
26 1.2e-004 6.8e-002 7.6e-003 1.01e+000 1.663221957e+002 1.666038031e+002 6.6e-008 0.89
27 1.1e-004 6.2e-002 6.8e-003 1.01e+000 1.663417794e+002 1.665951547e+002 5.9e-008 0.92
28 1.0e-004 5.7e-002 6.2e-003 1.01e+000 1.663593573e+002 1.665873372e+002 5.3e-008 0.95
29 9.0e-005 5.2e-002 5.5e-003 1.01e+000 1.663751263e+002 1.665802607e+002 4.8e-008 0.97
30 8.1e-005 4.7e-002 5.0e-003 1.01e+000 1.663892751e+002 1.665738573e+002 4.3e-008 1.00
31 7.3e-005 4.3e-002 4.5e-003 1.01e+000 1.664019711e+002 1.665680634e+002 3.9e-008 1.03
32 6.6e-005 4.0e-002 4.0e-003 1.01e+000 1.664133646e+002 1.665628219e+002 3.5e-008 1.05
33 5.9e-005 3.7e-002 3.6e-003 1.01e+000 1.664235904e+002 1.665580811e+002 3.1e-008 1.08
34 5.3e-005 3.4e-002 3.3e-003 1.00e+000 1.664327692e+002 1.665537938e+002 2.8e-008 1.11
35 4.8e-005 3.1e-002 2.9e-003 1.00e+000 1.664410091e+002 1.665499175e+002 2.5e-008 1.13
36 4.3e-005 2.9e-002 2.7e-003 1.00e+000 1.664484069e+002 1.665464132e+002 2.3e-008 1.16
37 3.9e-005 2.7e-002 2.4e-003 1.00e+000 1.664550492e+002 1.665432460e+002 2.1e-008 1.19
38 3.5e-005 2.5e-002 2.1e-003 1.00e+000 1.664610140e+002 1.665403838e+002 1.9e-008 1.22
39 3.1e-005 2.3e-002 1.9e-003 1.00e+000 1.664663708e+002 1.665377977e+002 1.7e-008 1.25
40 2.8e-005 2.2e-002 1.7e-003 1.00e+000 1.664711820e+002 1.665354616e+002 1.5e-008 1.26
41 2.5e-005 2.0e-002 1.6e-003 1.00e+000 1.664755038e+002 1.665333516e+002 1.4e-008 1.30
42 2.3e-005 1.9e-002 1.4e-003 1.00e+000 1.664793862e+002 1.665314463e+002 1.2e-008 1.33
43 2.1e-005 1.8e-002 1.3e-003 1.00e+000 1.664828743e+002 1.665297260e+002 1.1e-008 1.34
44 1.9e-005 1.7e-002 1.1e-003 1.00e+000 1.664860085e+002 1.665281732e+002 9.9e-009 1.38
45 1.7e-005 1.6e-002 1.0e-003 1.00e+000 1.664888251e+002 1.665267718e+002 8.9e-009 1.41
46 1.5e-005 1.5e-002 9.3e-004 1.00e+000 1.664913565e+002 1.665255074e+002 8.0e-009 1.44
47 1.4e-005 1.5e-002 8.3e-004 1.00e+000 1.664936318e+002 1.665243667e+002 7.2e-009 1.45
48 1.2e-005 1.4e-002 7.5e-004 1.00e+000 1.664956772e+002 1.665233379e+002 6.5e-009 1.48
49 1.1e-005 1.3e-002 6.8e-004 1.00e+000 1.664975161e+002 1.665224102e+002 5.8e-009 1.51
50 9.9e-006 1.3e-002 6.1e-004 1.00e+000 1.664991695e+002 1.665215738e+002 5.3e-009 1.55
51 8.9e-006 1.2e-002 5.5e-004 1.00e+000 1.665006562e+002 1.665208198e+002 4.7e-009 1.58
52 8.0e-006 1.2e-002 4.9e-004 1.00e+000 1.665019933e+002 1.665201403e+002 4.3e-009 1.61
53 7.2e-006 1.2e-002 4.4e-004 1.00e+000 1.665031957e+002 1.665195279e+002 3.8e-009 1.63
54 6.5e-006 1.1e-002 4.0e-004 1.00e+000 1.665042771e+002 1.665189760e+002 3.4e-009 1.66
55 5.8e-006 1.1e-002 3.6e-004 1.00e+000 1.665052498e+002 1.665184787e+002 3.1e-009 1.69
56 5.2e-006 1.1e-002 3.2e-004 1.00e+000 1.665061247e+002 1.665180307e+002 2.8e-009 1.72
57 4.7e-006 1.0e-002 2.9e-004 1.00e+000 1.665069117e+002 1.665176270e+002 2.5e-009 1.75
58 4.3e-006 1.0e-002 2.6e-004 1.00e+000 1.665076195e+002 1.665172633e+002 2.3e-009 1.78
59 3.8e-006 1.0e-002 2.4e-004 1.00e+000 1.665082561e+002 1.665169355e+002 2.0e-009 1.81
60 3.4e-006 9.8e-003 2.1e-004 1.00e+000 1.665088287e+002 1.665166402e+002 1.8e-009 1.84
61 3.1e-006 9.7e-003 1.9e-004 1.00e+000 1.665093437e+002 1.665163741e+002 1.7e-009 1.88
62 2.8e-006 9.5e-003 1.7e-004 1.00e+000 1.665098069e+002 1.665161343e+002 1.5e-009 1.91
63 2.5e-006 9.4e-003 1.5e-004 1.00e+000 1.665102236e+002 1.665159182e+002 1.3e-009 1.94
64 2.3e-006 9.2e-003 1.4e-004 1.00e+000 1.665105985e+002 1.665157237e+002 1.2e-009 1.97
65 2.0e-006 9.1e-003 1.3e-004 1.00e+000 1.665109357e+002 1.665155484e+002 1.1e-009 2.00
66 1.8e-006 9.0e-003 1.1e-004 1.00e+000 1.665112392e+002 1.665153906e+002 9.7e-010 2.03
67 1.6e-006 8.9e-003 1.0e-004 1.00e+000 1.665115122e+002 1.665152485e+002 8.8e-010 2.05
68 1.5e-006 8.8e-003 9.1e-005 1.00e+000 1.665117578e+002 1.665151205e+002 7.9e-010 2.08
69 1.3e-006 8.8e-003 8.2e-005 1.00e+000 1.665119788e+002 1.665150053e+002 7.1e-010 2.11
70 1.2e-006 8.7e-003 7.4e-005 1.00e+000 1.665121777e+002 1.665149015e+002 6.4e-010 2.14
71 1.1e-006 8.6e-003 6.7e-005 1.00e+000 1.665123566e+002 1.665148080e+002 5.8e-010 2.16
72 9.7e-007 8.6e-003 6.0e-005 1.00e+000 1.665125175e+002 1.665147239e+002 5.2e-010 2.19
73 8.8e-007 8.5e-003 5.4e-005 1.00e+000 1.665126624e+002 1.665146481e+002 4.7e-010 2.20
74 7.9e-007 8.5e-003 4.9e-005 1.00e+000 1.665127927e+002 1.665145798e+002 4.2e-010 2.22
75 7.1e-007 8.4e-003 4.4e-005 1.00e+000 1.665129099e+002 1.665145183e+002 3.8e-010 2.25
76 6.4e-007 8.4e-003 3.9e-005 1.00e+000 1.665130153e+002 1.665144629e+002 3.4e-010 2.28
77 5.7e-007 8.3e-003 3.5e-005 1.00e+000 1.665131101e+002 1.665144130e+002 3.1e-010 2.30
78 5.2e-007 8.3e-003 3.2e-005 1.00e+000 1.665131955e+002 1.665143680e+002 2.8e-010 2.33
79 4.7e-007 8.3e-003 2.9e-005 1.00e+000 1.665132722e+002 1.665143275e+002 2.5e-010 2.34
80 4.2e-007 8.2e-003 2.6e-005 1.00e+000 1.665133412e+002 1.665142910e+002 2.2e-010 2.36
81 3.8e-007 8.2e-003 2.3e-005 1.00e+000 1.665134032e+002 1.665142581e+002 2.0e-010 2.39
82 3.4e-007 8.2e-003 2.1e-005 1.00e+000 1.665134591e+002 1.665142284e+002 1.8e-010 2.41
83 3.1e-007 8.1e-003 1.9e-005 1.00e+000 1.665135093e+002 1.665142017e+002 1.6e-010 2.42
84 2.7e-007 8.1e-003 1.7e-005 1.00e+000 1.665135544e+002 1.665141776e+002 1.5e-010 2.45
85 2.5e-007 8.1e-003 1.5e-005 1.00e+000 1.665135951e+002 1.665141559e+002 1.3e-010 2.48
86 2.2e-007 8.1e-003 1.4e-005 1.00e+000 1.665136316e+002 1.665141364e+002 1.2e-010 2.52
87 2.0e-007 8.1e-003 1.2e-005 1.00e+000 1.665136645e+002 1.665141188e+002 1.1e-010 2.55
88 1.8e-007 8.0e-003 1.1e-005 9.99e-001 1.665136941e+002 1.665141030e+002 9.6e-011 2.56
89 1.6e-007 8.0e-003 1.0e-005 9.98e-001 1.665137207e+002 1.665140887e+002 8.6e-011 2.59
90 1.5e-007 8.0e-003 9.0e-006 9.99e-001 1.665137446e+002 1.665140759e+002 7.8e-011 2.63
91 1.3e-007 8.0e-003 8.1e-006 1.00e+000 1.665137662e+002 1.665140643e+002 7.0e-011 2.66
92 1.2e-007 8.0e-003 7.3e-006 1.00e+000 1.665137856e+002 1.665140539e+002 6.3e-011 2.69
93 1.1e-007 8.0e-003 6.6e-006 1.00e+000 1.665138030e+002 1.665140445e+002 5.7e-011 2.72
94 9.6e-008 8.0e-003 5.9e-006 1.00e+000 1.665138187e+002 1.665140360e+002 5.1e-011 2.75
95 8.6e-008 7.9e-003 5.3e-006 9.97e-001 1.665138328e+002 1.665140284e+002 4.6e-011 2.78
96 7.8e-008 7.1e-003 4.8e-006 1.00e+000 1.665138455e+002 1.665140215e+002 4.1e-011 2.83
97 7.0e-008 6.4e-003 4.3e-006 1.00e+000 1.665138570e+002 1.665140154e+002 3.7e-011 2.86
98 6.3e-008 5.8e-003 3.9e-006 1.00e+000 1.665138673e+002 1.665140098e+002 3.4e-011 2.89
99 5.7e-008 5.2e-003 3.5e-006 9.97e-001 1.665138765e+002 1.665140049e+002 3.0e-011 2.91
100 5.1e-008 4.7e-003 3.1e-006 9.99e-001 1.665138849e+002 1.665140004e+002 2.7e-011 2.94
101 4.6e-008 4.2e-003 2.8e-006 1.01e+000 1.665138924e+002 1.665139963e+002 2.4e-011 2.97
102 4.1e-008 3.8e-003 2.5e-006 1.00e+000 1.665138991e+002 1.665139927e+002 2.2e-011 3.00
103 3.7e-008 3.4e-003 2.3e-006 9.93e-001 1.665139052e+002 1.665139894e+002 2.0e-011 3.03
104 3.4e-008 3.1e-003 2.1e-006 9.99e-001 1.665139107e+002 1.665139865e+002 1.8e-011 3.05
105 3.0e-008 2.8e-003 1.9e-006 1.00e+000 1.665139156e+002 1.665139838e+002 1.6e-011 3.06
106 3.1e-008 2.5e-003 1.7e-006 1.01e+000 1.665139203e+002 1.665139805e+002 1.4e-011 3.08
107 2.6e-008 2.2e-003 1.5e-006 9.95e-001 1.665139242e+002 1.665139785e+002 1.3e-011 3.11
108 2.4e-008 2.0e-003 1.3e-006 1.01e+000 1.665139278e+002 1.665139767e+002 1.2e-011 3.13
109 2.1e-008 1.8e-003 1.2e-006 9.98e-001 1.665139310e+002 1.665139751e+002 1.1e-011 3.14
110 1.9e-008 1.6e-003 1.1e-006 9.91e-001 1.665139338e+002 1.665139738e+002 9.5e-012 3.16
111 1.7e-008 1.5e-003 9.8e-007 9.71e-001 1.665139364e+002 1.665139724e+002 8.5e-012 3.17
112 1.5e-008 1.3e-003 8.9e-007 1.03e+000 1.665139391e+002 1.665139710e+002 7.8e-012 3.20
113 1.4e-008 1.2e-003 8.0e-007 1.03e+000 1.665139414e+002 1.665139697e+002 7.1e-012 3.22
114 1.3e-008 1.1e-003 7.2e-007 1.04e+000 1.665139435e+002 1.665139685e+002 6.5e-012 3.23
115 4.2e-008 1.0e-003 6.9e-007 1.22e+000 1.665139453e+002 1.665139665e+002 6.5e-012 3.25
116 4.6e-008 9.2e-004 6.2e-007 9.34e-001 1.665139470e+002 1.665139653e+002 5.8e-012 3.28
117 4.1e-008 8.8e-004 5.9e-007 8.02e-001 1.665139467e+002 1.665139667e+002 5.5e-012 3.30
118 3.7e-008 7.9e-004 5.3e-007 1.07e+000 1.665139485e+002 1.665139656e+002 5.1e-012 3.31
119 3.4e-008 7.1e-004 4.8e-007 9.36e-001 1.665139497e+002 1.665139649e+002 4.6e-012 3.34
120 3.1e-008 6.4e-004 4.3e-007 1.08e+000 1.665139510e+002 1.665139642e+002 4.3e-012 3.36
121 2.8e-008 5.8e-004 3.9e-007 9.66e-001 1.665139519e+002 1.665139638e+002 3.8e-012 3.38
122 2.6e-008 5.2e-004 3.5e-007 9.10e-001 1.665139527e+002 1.665139633e+002 3.5e-012 3.39
123 2.4e-008 4.7e-004 3.1e-007 9.67e-001 1.665139534e+002 1.665139630e+002 3.1e-012 3.41
124 2.2e-008 4.2e-004 2.8e-007 9.58e-001 1.665139541e+002 1.665139626e+002 2.8e-012 3.44
125 2.1e-008 3.8e-004 2.5e-007 1.03e+000 1.665139547e+002 1.665139624e+002 2.5e-012 3.45
126 2.0e-008 3.4e-004 2.3e-007 1.94e+000 1.665139551e+002 1.665139623e+002 2.3e-012 3.47
127 2.7e-008 3.1e-004 2.1e-007 9.73e-001 1.665139557e+002 1.665139619e+002 2.1e-012 3.50
128 3.3e-008 2.8e-004 1.9e-007 3.65e-001 1.665139561e+002 1.665139615e+002 1.8e-012 3.52
129 4.4e-008 2.5e-004 1.7e-007 1.02e+000 1.665139565e+002 1.665139614e+002 1.7e-012 3.53
130 3.5e-008 2.3e-004 1.5e-007 9.77e-001 1.665139568e+002 1.665139612e+002 1.5e-012 3.55
131 3.1e-008 2.1e-004 1.4e-007 9.61e-001 1.665139571e+002 1.665139611e+002 1.4e-012 3.58
132 2.9e-008 1.9e-004 1.2e-007 1.04e+000 1.665139574e+002 1.665139609e+002 1.3e-012 3.59
133 2.6e-008 1.7e-004 1.1e-007 8.98e-001 1.665139576e+002 1.665139608e+002 1.1e-012 3.61
134 2.3e-008 1.5e-004 1.0e-007 1.09e+000 1.665139579e+002 1.665139607e+002 1.1e-012 3.63
135 2.1e-008 1.4e-004 9.1e-008 1.01e+000 1.665139581e+002 1.665139606e+002 9.7e-013 3.64
Interior-point optimizer terminated. Time: 3.66.
Optimizer terminated. Time: 3.77
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6651395813e+002 nrm: 2e+001 Viol. con: 2e-007 var: 0e+000
Dual. obj: 1.6651396060e+002 nrm: 1e+003 Viol. con: 0e+000 var: 7e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.79 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.01
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.03 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.03
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230573741e+005 2.000000000e+000 1.0e+000 0.08
1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223407939e+005 2.619867403e+000 7.3e-001 0.14
2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200446529e+005 4.599655206e+000 3.9e-001 0.16
3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110871011e+005 1.974502746e+001 1.3e-001 0.19
4 2.9e+002 3.9e+002 1.6e+004 -7.73e-001 -1.087569445e+005 2.019896715e+003 1.3e-001 0.20
5 1.1e+002 1.6e+002 6.2e+003 -7.62e-001 -8.627503139e+004 6.574829207e+003 5.1e-002 0.23
6 2.9e+001 3.9e+001 1.5e+003 -4.31e-001 -3.584054844e+004 1.240910985e+004 1.3e-002 0.25
7 1.8e+001 2.5e+001 9.9e+002 4.42e-001 -2.572461994e+004 7.435752907e+003 8.2e-003 0.27
8 1.0e+001 1.4e+001 5.5e+002 6.38e-001 -1.538787008e+004 4.402296134e+003 4.6e-003 0.30
9 3.9e+000 5.4e+000 2.1e+002 8.12e-001 -6.038359752e+003 1.965953069e+003 1.8e-003 0.31
10 2.0e+000 2.8e+000 1.1e+002 9.49e-001 -2.981619218e+003 1.206062734e+003 9.1e-004 0.33
11 8.3e-001 1.1e+000 4.5e+001 9.88e-001 -1.104652018e+003 6.251459103e+002 3.8e-004 0.36
12 8.1e-001 1.1e+000 4.4e+001 9.51e-001 -1.096198710e+003 6.036689785e+002 3.7e-004 0.38
13 5.1e-001 7.0e-001 2.8e+001 9.71e-001 -6.486021599e+002 4.328295477e+002 2.3e-004 0.41
14 3.1e-001 4.4e-001 1.7e+001 1.00e+000 -3.267260101e+002 3.428497108e+002 1.5e-004 0.42
15 1.0e-001 1.7e-001 5.9e+000 1.00e+000 -1.398304380e+001 2.122172223e+002 5.0e-005 0.44
16 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.558756918e+001 2.066971646e+002 4.0e-005 0.47
17 5.1e-002 1.0e-001 2.9e+000 1.02e+000 8.246641819e+001 1.911932529e+002 2.4e-005 0.48
18 1.3e-002 1.6e-001 7.2e-001 1.02e+000 1.466223977e+002 1.735084437e+002 6.0e-006 0.50
19 4.1e-003 1.9e-001 2.4e-001 1.00e+000 1.598627690e+002 1.688784013e+002 2.0e-006 0.53
20 2.1e-003 2.2e-001 1.2e-001 1.01e+000 1.631455348e+002 1.676933790e+002 1.0e-006 0.55
21 6.1e-004 1.5e-001 3.7e-002 1.01e+000 1.655066930e+002 1.668797943e+002 3.2e-007 0.56
22 3.6e-004 1.1e-001 2.2e-002 1.00e+000 1.659041457e+002 1.667133774e+002 1.9e-007 0.59
23 2.3e-004 8.1e-002 1.4e-002 9.87e-001 1.661102316e+002 1.666294421e+002 1.2e-007 0.61
24 1.9e-004 6.7e-002 1.2e-002 9.98e-001 1.661771372e+002 1.666074836e+002 1.0e-007 0.63
25 1.7e-004 6.2e-002 1.0e-002 1.01e+000 1.662075526e+002 1.665946018e+002 9.0e-008 0.66
26 1.5e-004 5.6e-002 9.4e-003 1.01e+000 1.662345087e+002 1.665827233e+002 8.1e-008 0.67
27 1.4e-004 5.2e-002 8.5e-003 1.00e+000 1.662588539e+002 1.665722043e+002 7.3e-008 0.69
28 1.2e-004 4.7e-002 7.6e-003 1.00e+000 1.662806777e+002 1.665626574e+002 6.6e-008 0.72
29 1.1e-004 4.3e-002 6.9e-003 1.00e+000 1.663002679e+002 1.665540230e+002 5.9e-008 0.73
30 1.0e-004 4.0e-002 6.2e-003 1.00e+000 1.663178505e+002 1.665462099e+002 5.3e-008 0.75
31 9.0e-005 3.6e-002 5.6e-003 1.00e+000 1.663336329e+002 1.665391410e+002 4.8e-008 0.78
32 8.1e-005 3.3e-002 5.0e-003 1.00e+000 1.663477998e+002 1.665327458e+002 4.3e-008 0.80
33 7.3e-005 3.1e-002 4.5e-003 1.00e+000 1.663605176e+002 1.665269606e+002 3.9e-008 0.81
34 6.6e-005 2.9e-002 4.0e-003 1.00e+000 1.663719353e+002 1.665217278e+002 3.5e-008 0.84
35 5.9e-005 2.6e-002 3.6e-003 1.00e+000 1.663821866e+002 1.665169954e+002 3.1e-008 0.86
36 5.3e-005 2.5e-002 3.3e-003 1.00e+000 1.663913916e+002 1.665127163e+002 2.8e-008 0.89
37 4.8e-005 2.3e-002 3.0e-003 1.00e+000 1.663996580e+002 1.665088478e+002 2.6e-008 0.91
38 4.3e-005 2.1e-002 2.7e-003 1.00e+000 1.664070820e+002 1.665053513e+002 2.3e-008 0.92
39 3.9e-005 2.0e-002 2.4e-003 1.00e+000 1.664137503e+002 1.665021915e+002 2.1e-008 0.95
40 3.5e-005 1.9e-002 2.2e-003 1.00e+000 1.664197402e+002 1.664993365e+002 1.9e-008 0.97
41 3.1e-005 1.8e-002 1.9e-003 1.00e+000 1.664251212e+002 1.664967573e+002 1.7e-008 0.98
42 2.8e-005 1.7e-002 1.7e-003 1.00e+000 1.664299555e+002 1.664944277e+002 1.5e-008 1.01
43 2.5e-005 1.6e-002 1.6e-003 1.00e+000 1.664342990e+002 1.664923238e+002 1.4e-008 1.03
44 2.3e-005 1.5e-002 1.4e-003 1.00e+000 1.664382017e+002 1.664904240e+002 1.2e-008 1.05
45 2.1e-005 1.4e-002 1.3e-003 1.00e+000 1.664417086e+002 1.664887087e+002 1.1e-008 1.06
46 1.9e-005 1.4e-002 1.1e-003 1.00e+000 1.664448600e+002 1.664871602e+002 9.9e-009 1.08
47 1.7e-005 1.3e-002 1.0e-003 1.00e+000 1.664476922e+002 1.664857625e+002 8.9e-009 1.11
48 1.5e-005 1.3e-002 9.3e-004 1.00e+000 1.664502376e+002 1.664845010e+002 8.0e-009 1.13
49 1.4e-005 1.2e-002 8.3e-004 1.00e+000 1.664525255e+002 1.664833627e+002 7.2e-009 1.14
50 1.2e-005 1.2e-002 7.5e-004 1.00e+000 1.664545821e+002 1.664823357e+002 6.5e-009 1.16
51 1.1e-005 1.1e-002 6.8e-004 1.00e+000 1.664564308e+002 1.664814093e+002 5.8e-009 1.17
52 9.8e-006 1.1e-002 6.1e-004 1.00e+000 1.664580928e+002 1.664805736e+002 5.3e-009 1.20
53 8.9e-006 1.1e-002 5.5e-004 1.00e+000 1.664595871e+002 1.664798200e+002 4.7e-009 1.22
54 8.0e-006 1.1e-002 4.9e-004 1.00e+000 1.664609307e+002 1.664791404e+002 4.3e-009 1.23
55 7.2e-006 1.0e-002 4.4e-004 1.00e+000 1.664621388e+002 1.664785277e+002 3.8e-009 1.25
56 6.5e-006 1.0e-002 4.0e-004 1.00e+000 1.664632252e+002 1.664779754e+002 3.5e-009 1.26
57 5.8e-006 9.9e-003 3.6e-004 1.00e+000 1.664642023e+002 1.664774775e+002 3.1e-009 1.28
58 5.2e-006 9.8e-003 3.2e-004 1.00e+000 1.664650809e+002 1.664770288e+002 2.8e-009 1.30
59 4.7e-006 9.6e-003 2.9e-004 1.00e+000 1.664658712e+002 1.664766244e+002 2.5e-009 1.31
60 4.2e-006 9.5e-003 2.6e-004 1.00e+000 1.664665819e+002 1.664762599e+002 2.3e-009 1.33
61 3.8e-006 9.3e-003 2.4e-004 1.00e+000 1.664672212e+002 1.664759314e+002 2.0e-009 1.34
62 3.4e-006 9.2e-003 2.1e-004 1.00e+000 1.664677961e+002 1.664756353e+002 1.8e-009 1.36
63 3.1e-006 9.1e-003 1.9e-004 1.00e+000 1.664683131e+002 1.664753686e+002 1.7e-009 1.38
64 2.8e-006 9.0e-003 1.7e-004 1.00e+000 1.664687782e+002 1.664751281e+002 1.5e-009 1.39
65 2.5e-006 8.9e-003 1.5e-004 1.00e+000 1.664691966e+002 1.664749115e+002 1.3e-009 1.41
66 2.3e-006 8.8e-003 1.4e-004 1.00e+000 1.664695729e+002 1.664747165e+002 1.2e-009 1.42
67 2.0e-006 8.7e-003 1.3e-004 1.00e+000 1.664699115e+002 1.664745407e+002 1.1e-009 1.44
68 1.8e-006 8.7e-003 1.1e-004 1.00e+000 1.664702162e+002 1.664743825e+002 9.8e-010 1.45
69 1.6e-006 8.6e-003 1.0e-004 1.00e+000 1.664704902e+002 1.664742400e+002 8.8e-010 1.47
70 1.5e-006 8.5e-003 9.1e-005 1.00e+000 1.664707369e+002 1.664741117e+002 7.9e-010 1.48
71 1.3e-006 8.5e-003 8.2e-005 1.00e+000 1.664709588e+002 1.664739961e+002 7.1e-010 1.51
72 1.2e-006 8.4e-003 7.4e-005 1.00e+000 1.664711584e+002 1.664738921e+002 6.4e-010 1.53
73 1.1e-006 8.4e-003 6.7e-005 1.00e+000 1.664713380e+002 1.664737983e+002 5.8e-010 1.55
74 9.7e-007 8.3e-003 6.0e-005 1.00e+000 1.664714997e+002 1.664737140e+002 5.2e-010 1.56
75 8.7e-007 8.3e-003 5.4e-005 1.00e+000 1.664716451e+002 1.664736380e+002 4.7e-010 1.58
76 7.9e-007 8.2e-003 4.9e-005 1.00e+000 1.664717759e+002 1.664735695e+002 4.2e-010 1.59
77 7.1e-007 8.2e-003 4.4e-005 1.00e+000 1.664718936e+002 1.664735079e+002 3.8e-010 1.61
78 6.4e-007 8.2e-003 3.9e-005 1.00e+000 1.664719995e+002 1.664734523e+002 3.4e-010 1.63
79 5.7e-007 8.1e-003 3.5e-005 1.00e+000 1.664720947e+002 1.664734023e+002 3.1e-010 1.64
80 5.2e-007 8.1e-003 3.2e-005 1.00e+000 1.664721804e+002 1.664733572e+002 2.8e-010 1.66
81 4.6e-007 8.1e-003 2.9e-005 1.00e+000 1.664722575e+002 1.664733166e+002 2.5e-010 1.67
82 4.2e-007 8.0e-003 2.6e-005 1.00e+000 1.664723268e+002 1.664732800e+002 2.2e-010 1.70
83 3.8e-007 8.0e-003 2.3e-005 1.00e+000 1.664723891e+002 1.664732471e+002 2.0e-010 1.72
84 3.4e-007 8.0e-003 2.1e-005 1.00e+000 1.664724452e+002 1.664732174e+002 1.8e-010 1.73
85 3.0e-007 8.0e-003 1.9e-005 1.00e+000 1.664724957e+002 1.664731906e+002 1.6e-010 1.75
86 2.7e-007 7.9e-003 1.7e-005 1.00e+000 1.664725411e+002 1.664731665e+002 1.5e-010 1.78
87 2.5e-007 7.9e-003 1.5e-005 1.00e+000 1.664725819e+002 1.664731448e+002 1.3e-010 1.80
88 2.2e-007 7.9e-003 1.4e-005 1.00e+000 1.664726186e+002 1.664731253e+002 1.2e-010 1.81
89 2.0e-007 7.9e-003 1.2e-005 1.00e+000 1.664726517e+002 1.664731077e+002 1.1e-010 1.83
90 1.8e-007 7.9e-003 1.1e-005 1.00e+000 1.664726815e+002 1.664730919e+002 9.6e-011 1.84
91 1.6e-007 7.8e-003 1.0e-005 1.00e+000 1.664727082e+002 1.664730776e+002 8.7e-011 1.88
92 1.5e-007 7.8e-003 9.0e-006 1.00e+000 1.664727323e+002 1.664730648e+002 7.8e-011 1.89
93 1.3e-007 7.8e-003 8.1e-006 1.00e+000 1.664727540e+002 1.664730532e+002 7.0e-011 1.91
94 1.2e-007 7.8e-003 7.3e-006 1.00e+000 1.664727735e+002 1.664730428e+002 6.3e-011 1.92
95 1.1e-007 7.8e-003 6.6e-006 1.00e+000 1.664727911e+002 1.664730334e+002 5.7e-011 1.94
96 9.5e-008 7.8e-003 5.9e-006 1.00e+000 1.664728069e+002 1.664730250e+002 5.1e-011 1.95
97 8.6e-008 7.8e-003 5.3e-006 1.00e+000 1.664728211e+002 1.664730174e+002 4.6e-011 1.97
98 7.7e-008 7.7e-003 4.8e-006 1.00e+000 1.664728339e+002 1.664730106e+002 4.1e-011 1.98
99 7.0e-008 7.7e-003 4.3e-006 1.00e+000 1.664728454e+002 1.664730044e+002 3.7e-011 2.00
100 6.3e-008 7.7e-003 3.9e-006 1.00e+000 1.664728558e+002 1.664729989e+002 3.4e-011 2.02
101 5.6e-008 7.7e-003 3.5e-006 1.00e+000 1.664728651e+002 1.664729939e+002 3.0e-011 2.03
102 5.1e-008 7.7e-003 3.1e-006 1.00e+000 1.664728735e+002 1.664729894e+002 2.7e-011 2.05
103 4.6e-008 7.7e-003 2.8e-006 9.99e-001 1.664728810e+002 1.664729854e+002 2.4e-011 2.06
104 4.1e-008 7.7e-003 2.5e-006 9.99e-001 1.664728878e+002 1.664729817e+002 2.2e-011 2.08
105 3.7e-008 7.7e-003 2.3e-006 9.99e-001 1.664728940e+002 1.664729785e+002 2.0e-011 2.11
106 3.3e-008 7.7e-003 2.1e-006 1.00e+000 1.664728995e+002 1.664729755e+002 1.8e-011 2.13
107 3.0e-008 7.7e-003 1.9e-006 1.00e+000 1.664729044e+002 1.664729729e+002 1.6e-011 2.14
108 2.7e-008 7.7e-003 1.7e-006 1.00e+000 1.664729089e+002 1.664729705e+002 1.4e-011 2.16
109 2.4e-008 7.6e-003 1.5e-006 1.00e+000 1.664729129e+002 1.664729683e+002 1.3e-011 2.17
110 2.2e-008 7.6e-003 1.4e-006 9.98e-001 1.664729165e+002 1.664729664e+002 1.2e-011 2.19
111 2.0e-008 7.6e-003 1.2e-006 9.98e-001 1.664729197e+002 1.664729647e+002 1.1e-011 2.22
112 1.8e-008 6.9e-003 1.1e-006 1.00e+000 1.664729227e+002 1.664729631e+002 9.5e-012 2.23
113 1.6e-008 6.2e-003 9.9e-007 1.00e+000 1.664729253e+002 1.664729617e+002 8.5e-012 2.27
114 1.4e-008 5.5e-003 8.9e-007 1.00e+000 1.664729277e+002 1.664729604e+002 7.7e-012 2.28
115 1.3e-008 5.0e-003 8.0e-007 1.00e+000 1.664729298e+002 1.664729593e+002 6.9e-012 2.30
116 1.2e-008 4.5e-003 7.2e-007 9.98e-001 1.664729317e+002 1.664729582e+002 6.2e-012 2.31
117 1.0e-008 4.0e-003 6.5e-007 1.01e+000 1.664729336e+002 1.664729573e+002 5.6e-012 2.34
118 9.4e-009 3.6e-003 5.8e-007 1.01e+000 1.664729352e+002 1.664729564e+002 5.1e-012 2.36
119 8.5e-009 3.3e-003 5.2e-007 1.01e+000 1.664729366e+002 1.664729556e+002 4.6e-012 2.38
120 7.6e-009 2.9e-003 4.7e-007 9.97e-001 1.664729379e+002 1.664729549e+002 4.2e-012 2.39
121 6.9e-009 2.7e-003 4.2e-007 9.98e-001 1.664729390e+002 1.664729544e+002 3.7e-012 2.42
122 6.3e-009 2.4e-003 3.8e-007 9.66e-001 1.664729400e+002 1.664729538e+002 3.4e-012 2.44
123 5.6e-009 2.1e-003 3.4e-007 9.82e-001 1.664729409e+002 1.664729534e+002 3.0e-012 2.45
124 5.1e-009 1.9e-003 3.1e-007 9.83e-001 1.664729417e+002 1.664729529e+002 2.7e-012 2.47
125 4.6e-009 1.7e-003 2.8e-007 1.00e+000 1.664729424e+002 1.664729525e+002 2.5e-012 2.50
126 4.2e-009 1.6e-003 2.5e-007 9.93e-001 1.664729431e+002 1.664729522e+002 2.2e-012 2.53
127 3.8e-009 1.4e-003 2.3e-007 1.04e+000 1.664729438e+002 1.664729518e+002 2.0e-012 2.55
128 3.4e-009 1.3e-003 2.0e-007 9.81e-001 1.664729443e+002 1.664729515e+002 1.8e-012 2.56
129 1.2e-008 1.2e-003 1.8e-007 1.45e+000 1.664729457e+002 1.664729497e+002 1.5e-012 2.59
130 3.0e-008 1.0e-003 1.7e-007 8.44e-001 1.664729460e+002 1.664729496e+002 1.4e-012 2.63
131 2.7e-008 9.4e-004 1.5e-007 7.31e-001 1.664729463e+002 1.664729496e+002 1.2e-012 2.64
132 2.4e-008 8.4e-004 1.3e-007 8.71e-001 1.664729465e+002 1.664729495e+002 1.1e-012 2.67
133 2.2e-008 7.6e-004 1.2e-007 9.89e-001 1.664729468e+002 1.664729494e+002 1.0e-012 2.69
Interior-point optimizer terminated. Time: 2.70.
Optimizer terminated. Time: 2.72
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6647294684e+002 nrm: 2e+001 Viol. con: 4e-007 var: 0e+000
Dual. obj: 1.6647294945e+002 nrm: 1e+003 Viol. con: 0e+000 var: 3e-003
* End solution on dual form. *
Transforming to primal solution.
Solving took 2.74 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (313) of matrix 'A'.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.03
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.05 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230568199e+005 2.000000000e+000 1.0e+000 0.08
1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223406324e+005 2.619248359e+000 7.3e-001 0.13
2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200442475e+005 4.598128826e+000 3.9e-001 0.17
3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110662459e+005 1.975241529e+001 1.3e-001 0.20
4 2.9e+002 3.9e+002 1.6e+004 -7.73e-001 -1.087405448e+005 2.016319641e+003 1.3e-001 0.23
5 1.1e+002 1.6e+002 6.1e+003 -7.62e-001 -8.614944710e+004 6.587331005e+003 5.0e-002 0.27
6 2.7e+001 3.7e+001 1.5e+003 -4.29e-001 -3.436758377e+004 1.253701906e+004 1.2e-002 0.30
7 1.8e+001 2.4e+001 9.5e+002 4.70e-001 -2.476982690e+004 7.289488888e+003 7.8e-003 0.31
8 1.0e+001 1.4e+001 5.5e+002 6.54e-001 -1.533820987e+004 4.443203126e+003 4.6e-003 0.34
9 4.0e+000 5.5e+000 2.2e+002 8.12e-001 -6.190281121e+003 2.005533601e+003 1.8e-003 0.38
10 2.1e+000 2.8e+000 1.1e+002 9.47e-001 -3.026388340e+003 1.210579611e+003 9.2e-004 0.41
11 8.5e-001 1.2e+000 4.6e+001 9.87e-001 -1.130581106e+003 6.381551087e+002 3.9e-004 0.42
12 8.2e-001 1.1e+000 4.5e+001 9.54e-001 -1.118114823e+003 6.145592618e+002 3.7e-004 0.45
13 5.2e-001 7.2e-001 2.9e+001 9.69e-001 -6.761467511e+002 4.421522520e+002 2.4e-004 0.48
14 3.4e-001 4.7e-001 1.9e+001 1.00e+000 -3.592414253e+002 3.572663712e+002 1.5e-004 0.52
15 1.1e-001 1.8e-001 6.0e+000 9.98e-001 -1.690303105e+001 2.138571540e+002 5.0e-005 0.55
16 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.560752765e+001 2.063047257e+002 4.0e-005 0.58
17 5.5e-002 9.7e-002 3.1e+000 1.02e+000 7.581464285e+001 1.932426942e+002 2.6e-005 0.61
18 1.8e-002 8.6e-002 1.0e+000 1.02e+000 1.380224203e+002 1.757346034e+002 8.5e-006 0.63
19 7.4e-003 8.2e-002 4.2e-001 1.01e+000 1.543664787e+002 1.702170610e+002 3.6e-006 0.66
20 1.7e-003 1.7e-001 1.0e-001 1.01e+000 1.636871399e+002 1.675518890e+002 8.7e-007 0.69
21 1.1e-003 1.2e-001 6.5e-002 9.75e-001 1.647148621e+002 1.671364274e+002 5.5e-007 0.72
22 3.9e-004 1.2e-001 2.4e-002 9.85e-001 1.658201650e+002 1.667296809e+002 2.1e-007 0.73
23 1.7e-004 1.0e-001 1.1e-002 1.00e+000 1.661744407e+002 1.665700131e+002 9.1e-008 0.77
24 6.6e-005 9.1e-002 4.3e-003 1.01e+000 1.663383887e+002 1.664964056e+002 3.7e-008 0.80
25 3.1e-005 8.1e-002 2.0e-003 1.01e+000 1.663959201e+002 1.664703049e+002 1.7e-008 0.81
26 2.8e-005 7.4e-002 1.8e-003 1.01e+000 1.664019175e+002 1.664689029e+002 1.6e-008 0.84
27 2.5e-005 6.7e-002 1.6e-003 1.01e+000 1.664063543e+002 1.664666169e+002 1.4e-008 0.88
28 2.2e-005 6.1e-002 1.5e-003 1.01e+000 1.664104479e+002 1.664646719e+002 1.3e-008 0.91
29 2.0e-005 5.6e-002 1.3e-003 1.01e+000 1.664141095e+002 1.664628995e+002 1.1e-008 0.92
30 1.8e-005 5.1e-002 1.2e-003 1.01e+000 1.664174016e+002 1.664613030e+002 1.0e-008 0.95
31 1.6e-005 4.7e-002 1.1e-003 1.01e+000 1.664203586e+002 1.664598619e+002 9.3e-009 0.98
32 1.5e-005 4.3e-002 9.6e-004 1.00e+000 1.664230154e+002 1.664585617e+002 8.4e-009 1.02
33 1.3e-005 4.0e-002 8.7e-004 1.00e+000 1.664254027e+002 1.664573888e+002 7.5e-009 1.03
34 1.2e-005 3.6e-002 7.8e-004 1.00e+000 1.664275479e+002 1.664563307e+002 6.8e-009 1.06
35 1.1e-005 3.4e-002 7.0e-004 1.00e+000 1.664294759e+002 1.664553765e+002 6.1e-009 1.09
36 9.7e-006 3.1e-002 6.3e-004 1.00e+000 1.664312086e+002 1.664545159e+002 5.5e-009 1.11
37 8.7e-006 2.9e-002 5.7e-004 1.00e+000 1.664327661e+002 1.664537399e+002 4.9e-009 1.14
38 7.8e-006 2.7e-002 5.1e-004 1.00e+000 1.664341661e+002 1.664530403e+002 4.5e-009 1.17
39 7.1e-006 2.5e-002 4.6e-004 1.00e+000 1.664354247e+002 1.664524095e+002 4.0e-009 1.19
40 6.4e-006 2.3e-002 4.1e-004 1.00e+000 1.664365563e+002 1.664518410e+002 3.6e-009 1.22
41 5.7e-006 2.2e-002 3.7e-004 1.00e+000 1.664375737e+002 1.664513286e+002 3.2e-009 1.25
42 5.1e-006 2.0e-002 3.4e-004 1.00e+000 1.664384884e+002 1.664508668e+002 2.9e-009 1.28
43 4.6e-006 1.9e-002 3.0e-004 1.00e+000 1.664393110e+002 1.664504506e+002 2.6e-009 1.31
44 4.2e-006 1.8e-002 2.7e-004 1.00e+000 1.664400507e+002 1.664500755e+002 2.4e-009 1.33
45 3.8e-006 1.7e-002 2.4e-004 1.00e+000 1.664407159e+002 1.664497376e+002 2.1e-009 1.36
46 3.4e-006 1.6e-002 2.2e-004 1.00e+000 1.664413140e+002 1.664494330e+002 1.9e-009 1.38
47 3.0e-006 1.5e-002 2.0e-004 1.00e+000 1.664418519e+002 1.664491585e+002 1.7e-009 1.39
48 2.7e-006 1.5e-002 1.8e-004 1.00e+000 1.664423356e+002 1.664489112e+002 1.6e-009 1.41
49 2.5e-006 1.4e-002 1.6e-004 1.00e+000 1.664427707e+002 1.664486885e+002 1.4e-009 1.42
50 2.2e-006 1.3e-002 1.4e-004 1.00e+000 1.664431621e+002 1.664484878e+002 1.3e-009 1.44
51 2.0e-006 1.3e-002 1.3e-004 1.00e+000 1.664435142e+002 1.664483071e+002 1.1e-009 1.47
52 1.8e-006 1.2e-002 1.2e-004 1.00e+000 1.664438310e+002 1.664481445e+002 1.0e-009 1.49
53 1.6e-006 1.2e-002 1.1e-004 1.00e+000 1.664441160e+002 1.664479980e+002 9.2e-010 1.50
54 1.5e-006 1.1e-002 9.5e-005 1.00e+000 1.664443725e+002 1.664478661e+002 8.3e-010 1.52
55 1.3e-006 1.1e-002 8.5e-005 1.00e+000 1.664446032e+002 1.664477473e+002 7.4e-010 1.53
56 1.2e-006 1.1e-002 7.7e-005 1.00e+000 1.664448108e+002 1.664476404e+002 6.7e-010 1.55
57 1.1e-006 1.0e-002 6.9e-005 1.00e+000 1.664449976e+002 1.664475442e+002 6.0e-010 1.56
58 9.5e-007 1.0e-002 6.2e-005 1.00e+000 1.664451656e+002 1.664474575e+002 5.4e-010 1.58
59 8.6e-007 1.0e-002 5.6e-005 1.00e+000 1.664453169e+002 1.664473795e+002 4.9e-010 1.59
60 7.7e-007 9.7e-003 5.0e-005 1.00e+000 1.664454529e+002 1.664473093e+002 4.4e-010 1.61
61 7.0e-007 9.5e-003 4.5e-005 1.00e+000 1.664455753e+002 1.664472460e+002 4.0e-010 1.63
62 6.3e-007 9.4e-003 4.1e-005 1.00e+000 1.664456854e+002 1.664471890e+002 3.6e-010 1.64
63 5.6e-007 9.2e-003 3.7e-005 1.00e+000 1.664457845e+002 1.664471377e+002 3.2e-010 1.66
64 5.1e-007 9.1e-003 3.3e-005 1.00e+000 1.664458736e+002 1.664470915e+002 2.9e-010 1.67
65 4.6e-007 8.9e-003 3.0e-005 1.00e+000 1.664459538e+002 1.664470499e+002 2.6e-010 1.69
66 4.1e-007 8.8e-003 2.7e-005 1.00e+000 1.664460259e+002 1.664470124e+002 2.3e-010 1.70
67 3.7e-007 8.7e-003 2.4e-005 1.00e+000 1.664460908e+002 1.664469786e+002 2.1e-010 1.74
68 3.3e-007 8.6e-003 2.2e-005 1.00e+000 1.664461491e+002 1.664469482e+002 1.9e-010 1.75
69 3.0e-007 8.5e-003 2.0e-005 1.00e+000 1.664462016e+002 1.664469207e+002 1.7e-010 1.77
70 2.7e-007 8.5e-003 1.8e-005 1.00e+000 1.664462489e+002 1.664468961e+002 1.5e-010 1.78
71 2.4e-007 8.4e-003 1.6e-005 1.00e+000 1.664462914e+002 1.664468738e+002 1.4e-010 1.80
72 2.2e-007 8.3e-003 1.4e-005 1.00e+000 1.664463296e+002 1.664468538e+002 1.2e-010 1.81
73 2.0e-007 8.3e-003 1.3e-005 1.00e+000 1.664463640e+002 1.664468358e+002 1.1e-010 1.83
74 1.8e-007 8.2e-003 1.2e-005 1.00e+000 1.664463950e+002 1.664468196e+002 1.0e-010 1.84
75 1.6e-007 8.2e-003 1.0e-005 1.00e+000 1.664464228e+002 1.664468050e+002 9.0e-011 1.86
76 1.4e-007 8.1e-003 9.3e-006 1.00e+000 1.664464479e+002 1.664467919e+002 8.1e-011 1.88
77 1.3e-007 8.1e-003 8.4e-006 1.00e+000 1.664464704e+002 1.664467800e+002 7.3e-011 1.89
78 1.2e-007 8.0e-003 7.6e-006 1.00e+000 1.664464907e+002 1.664467694e+002 6.6e-011 1.91
79 1.0e-007 8.0e-003 6.8e-006 1.00e+000 1.664465090e+002 1.664467598e+002 5.9e-011 1.92
80 9.4e-008 8.0e-003 6.1e-006 1.00e+000 1.664465255e+002 1.664467512e+002 5.3e-011 1.94
81 8.5e-008 7.9e-003 5.5e-006 1.00e+000 1.664465403e+002 1.664467434e+002 4.8e-011 1.95
82 7.6e-008 7.9e-003 5.0e-006 9.99e-001 1.664465536e+002 1.664467364e+002 4.3e-011 1.97
83 6.8e-008 7.9e-003 4.5e-006 9.99e-001 1.664465656e+002 1.664467301e+002 3.9e-011 1.99
84 6.2e-008 7.8e-003 4.0e-006 1.00e+000 1.664465763e+002 1.664467244e+002 3.5e-011 2.00
85 5.5e-008 7.8e-003 3.6e-006 1.00e+000 1.664465860e+002 1.664467193e+002 3.2e-011 2.02
86 5.0e-008 7.8e-003 3.3e-006 1.00e+000 1.664465948e+002 1.664467147e+002 2.8e-011 2.03
87 4.5e-008 7.8e-003 2.9e-006 1.00e+000 1.664466026e+002 1.664467106e+002 2.6e-011 2.05
88 4.0e-008 7.8e-003 2.6e-006 1.00e+000 1.664466097e+002 1.664467069e+002 2.3e-011 2.06
89 3.6e-008 7.7e-003 2.4e-006 9.99e-001 1.664466161e+002 1.664467035e+002 2.1e-011 2.08
90 3.3e-008 7.7e-003 2.1e-006 9.99e-001 1.664466218e+002 1.664467005e+002 1.9e-011 2.09
91 2.9e-008 7.7e-003 1.9e-006 1.00e+000 1.664466270e+002 1.664466978e+002 1.7e-011 2.11
92 2.7e-008 6.9e-003 1.7e-006 1.00e+000 1.664466316e+002 1.664466953e+002 1.5e-011 2.14
93 2.4e-008 6.2e-003 1.6e-006 9.98e-001 1.664466358e+002 1.664466932e+002 1.4e-011 2.16
94 2.1e-008 5.6e-003 1.4e-006 9.95e-001 1.664466395e+002 1.664466912e+002 1.2e-011 2.17
95 1.9e-008 5.1e-003 1.3e-006 1.00e+000 1.664466429e+002 1.664466894e+002 1.1e-011 2.19
96 1.7e-008 4.6e-003 1.1e-006 9.99e-001 1.664466460e+002 1.664466878e+002 9.9e-012 2.20
97 1.6e-008 4.1e-003 1.0e-006 1.00e+000 1.664466487e+002 1.664466864e+002 8.9e-012 2.22
98 1.4e-008 3.7e-003 9.2e-007 1.00e+000 1.664466512e+002 1.664466851e+002 8.0e-012 2.23
99 1.3e-008 3.3e-003 8.3e-007 1.00e+000 1.664466534e+002 1.664466839e+002 7.2e-012 2.25
100 1.1e-008 3.0e-003 7.4e-007 1.00e+000 1.664466554e+002 1.664466828e+002 6.5e-012 2.27
101 1.0e-008 2.7e-003 6.7e-007 9.98e-001 1.664466572e+002 1.664466819e+002 5.9e-012 2.28
102 9.3e-009 2.4e-003 6.0e-007 9.97e-001 1.664466588e+002 1.664466810e+002 5.3e-012 2.30
103 8.3e-009 2.2e-003 5.4e-007 9.98e-001 1.664466603e+002 1.664466803e+002 4.7e-012 2.31
104 7.5e-009 2.0e-003 4.9e-007 1.00e+000 1.664466616e+002 1.664466796e+002 4.3e-012 2.33
105 6.7e-009 1.8e-003 4.4e-007 1.00e+000 1.664466628e+002 1.664466789e+002 3.8e-012 2.34
106 6.1e-009 1.6e-003 4.0e-007 9.94e-001 1.664466638e+002 1.664466784e+002 3.5e-012 2.36
107 5.5e-009 1.4e-003 3.6e-007 1.01e+000 1.664466648e+002 1.664466779e+002 3.1e-012 2.38
108 4.9e-009 1.3e-003 3.2e-007 9.95e-001 1.664466656e+002 1.664466774e+002 2.8e-012 2.39
109 4.4e-009 1.2e-003 2.9e-007 1.01e+000 1.664466664e+002 1.664466770e+002 2.5e-012 2.41
110 4.0e-009 1.0e-003 2.6e-007 1.01e+000 1.664466672e+002 1.664466766e+002 2.3e-012 2.42
111 3.6e-009 9.4e-004 2.3e-007 1.02e+000 1.664466678e+002 1.664466763e+002 2.1e-012 2.44
112 3.3e-009 8.4e-004 2.1e-007 1.01e+000 1.664466684e+002 1.664466760e+002 1.9e-012 2.47
113 1.6e-009 8.8e-005 2.2e-008 1.01e+000 1.664466728e+002 1.664466736e+002 1.9e-013 2.48
Interior-point optimizer terminated. Time: 2.48.
Optimizer terminated. Time: 2.98
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6644667282e+002 nrm: 2e+001 Viol. con: 4e-008 var: 0e+000
Dual. obj: 1.6644667361e+002 nrm: 1e+003 Viol. con: 0e+000 var: 6e-004
* End solution on dual form. *
Transforming to primal solution.
Solving took 3.01 seconds.
Using solver 'mosek'
Solving for 1773 variables.
MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'.
Number of Hessian non-zeros: 2084
* Solving exponential optimization problem on dual form. *
* The following log information refers to the solution of the dual problem. *
Problem
Name :
Objective sense : max
Type : GECO (general convex optimization problem)
Constraints : 1774
Cones : 0
Scalar variables : 6156
Matrix variables : 0
Integer variables : 0
Optimizer started.
Interior-point optimizer started.
Presolve started.
Linear dependency checker started.
Linear dependency checker terminated.
Eliminator started.
Freed constraints in eliminator : 471
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 8
Eliminator terminated.
Eliminator - tries : 2 time : 0.00
Lin. dep. - tries : 1 time : 0.00
Lin. dep. - number : 0
Presolve terminated. Time: 0.01
Matrix reordering started.
Local matrix reordering started.
Local matrix reordering terminated.
Matrix reordering terminated.
Optimizer - threads : 6
Optimizer - solved problem : the primal
Optimizer - Constraints : 882
Optimizer - Cones : 0
Optimizer - Scalar variables : 3480 conic : 0
Optimizer - Semi-definite variables: 0 scalarized : 0
Factor - setup time : 0.05 dense det. time : 0.00
Factor - ML order time : 0.00 GP order time : 0.05
Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005
Factor - dense dim. : 0 flops : 3.20e+007
Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005
ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME
0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230556870e+005 2.000000000e+000 1.0e+000 0.06
1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223396241e+005 2.618953722e+000 7.3e-001 0.09
2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200423856e+005 4.597856432e+000 3.9e-001 0.13
3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110492242e+005 1.976133942e+001 1.3e-001 0.14
4 2.9e+002 3.9e+002 1.6e+004 -7.73e-001 -1.087275032e+005 2.013806548e+003 1.3e-001 0.16
5 1.1e+002 1.6e+002 6.1e+003 -7.61e-001 -8.607794802e+004 6.591711152e+003 5.0e-002 0.17
6 2.7e+001 3.7e+001 1.4e+003 -4.28e-001 -3.351874318e+004 1.260920371e+004 1.2e-002 0.20
7 1.7e+001 2.3e+001 9.3e+002 4.86e-001 -2.416998457e+004 7.170852884e+003 7.6e-003 0.22
8 1.0e+001 1.4e+001 5.5e+002 6.65e-001 -1.525725957e+004 4.449789694e+003 4.5e-003 0.23
9 4.0e+000 5.5e+000 2.2e+002 8.13e-001 -6.213138305e+003 2.014232407e+003 1.8e-003 0.25
10 2.1e+000 2.8e+000 1.1e+002 9.46e-001 -3.043320946e+003 1.210542224e+003 9.3e-004 0.27
11 8.6e-001 1.2e+000 4.7e+001 9.86e-001 -1.148104767e+003 6.424915084e+002 3.9e-004 0.28
12 8.3e-001 1.1e+000 4.5e+001 9.55e-001 -1.133165651e+003 6.177512486e+002 3.8e-004 0.30
13 5.3e-001 7.3e-001 2.9e+001 9.68e-001 -6.863687306e+002 4.440996235e+002 2.4e-004 0.31
14 3.4e-001 4.8e-001 1.9e+001 1.00e+000 -3.702449251e+002 3.621134875e+002 1.6e-004 0.33
15 1.1e-001 1.8e-001 6.0e+000 9.96e-001 -1.749657721e+001 2.143210565e+002 5.1e-005 0.34
16 8.3e-002 1.4e-001 4.7e+000 1.02e+000 2.671202474e+001 2.056526300e+002 3.9e-005 0.38
17 4.2e-002 9.1e-002 2.3e+000 1.02e+000 9.827430266e+001 1.872950761e+002 2.0e-005 0.39
18 1.1e-002 1.8e-001 6.1e-001 1.02e+000 1.497274516e+002 1.725907850e+002 5.1e-006 0.41
19 5.2e-003 1.8e-001 3.0e-001 1.01e+000 1.581526785e+002 1.693399117e+002 2.5e-006 0.42
20 1.6e-003 1.3e-001 9.4e-002 1.01e+000 1.639220631e+002 1.674311584e+002 8.0e-007 0.44
21 6.7e-004 9.4e-002 4.0e-002 1.00e+000 1.653682125e+002 1.668603579e+002 3.4e-007 0.45
22 2.4e-004 9.5e-002 1.5e-002 1.01e+000 1.660423191e+002 1.665979575e+002 1.3e-007 0.47
23 9.6e-005 9.1e-002 6.0e-003 1.01e+000 1.662765269e+002 1.664984256e+002 5.2e-008 0.48
24 3.8e-005 9.1e-002 2.4e-003 1.01e+000 1.663684852e+002 1.664568480e+002 2.1e-008 0.50
25 1.8e-005 8.2e-002 1.1e-003 1.01e+000 1.664010883e+002 1.664419064e+002 9.8e-009 0.52
26 1.6e-005 7.4e-002 1.0e-003 1.00e+000 1.664044170e+002 1.664411692e+002 8.8e-009 0.53
27 1.4e-005 6.8e-002 9.0e-004 1.01e+000 1.664068534e+002 1.664399215e+002 7.9e-009 0.55
28 1.3e-005 6.2e-002 8.1e-004 1.00e+000 1.664090853e+002 1.664388413e+002 7.1e-009 0.56
29 1.1e-005 5.7e-002 7.3e-004 1.00e+000 1.664110851e+002 1.664378608e+002 6.4e-009 0.58
30 1.0e-005 5.2e-002 6.6e-004 1.00e+000 1.664128830e+002 1.664369774e+002 5.8e-009 0.59
31 9.3e-006 4.7e-002 5.9e-004 1.00e+000 1.664144988e+002 1.664361806e+002 5.2e-009 0.63
32 8.4e-006 4.3e-002 5.3e-004 1.00e+000 1.664159510e+002 1.664354621e+002 4.7e-009 0.64
33 7.5e-006 4.0e-002 4.8e-004 1.00e+000 1.664172564e+002 1.664348143e+002 4.2e-009 0.66
34 6.8e-006 3.7e-002 4.3e-004 1.00e+000 1.664184299e+002 1.664342303e+002 3.8e-009 0.69
35 6.1e-006 3.4e-002 3.9e-004 1.00e+000 1.664194848e+002 1.664337039e+002 3.4e-009 0.70
36 5.5e-006 3.1e-002 3.5e-004 1.00e+000 1.664204332e+002 1.664332293e+002 3.1e-009 0.72
37 4.9e-006 2.9e-002 3.1e-004 1.00e+000 1.664212859e+002 1.664328015e+002 2.8e-009 0.75
38 4.5e-006 2.7e-002 2.8e-004 1.00e+000 1.664220526e+002 1.664324158e+002 2.5e-009 0.77
39 4.0e-006 2.5e-002 2.5e-004 1.00e+000 1.664227419e+002 1.664320682e+002 2.2e-009 0.78
40 3.6e-006 2.3e-002 2.3e-004 1.00e+000 1.664233617e+002 1.664317549e+002 2.0e-009 0.81
41 3.2e-006 2.2e-002 2.1e-004 1.00e+000 1.664239189e+002 1.664314725e+002 1.8e-009 0.83
42 2.9e-006 2.0e-002 1.9e-004 1.00e+000 1.664244200e+002 1.664312179e+002 1.6e-009 0.84
43 2.6e-006 1.9e-002 1.7e-004 1.00e+000 1.664248706e+002 1.664309884e+002 1.5e-009 0.86
44 2.4e-006 1.8e-002 1.5e-004 1.00e+000 1.664252759e+002 1.664307817e+002 1.3e-009 0.89
45 2.1e-006 1.7e-002 1.4e-004 1.00e+000 1.664256404e+002 1.664305955e+002 1.2e-009 0.91
46 1.9e-006 1.6e-002 1.2e-004 1.00e+000 1.664259683e+002 1.664304278e+002 1.1e-009 0.92
47 1.7e-006 1.5e-002 1.1e-004 1.00e+000 1.664262633e+002 1.664302767e+002 9.7e-010 0.94
48 1.6e-006 1.5e-002 9.9e-005 1.00e+000 1.664265287e+002 1.664301407e+002 8.7e-010 0.97
49 1.4e-006 1.4e-002 8.9e-005 1.00e+000 1.664267674e+002 1.664300181e+002 7.8e-010 0.98
50 1.3e-006 1.3e-002 8.0e-005 1.00e+000 1.664269822e+002 1.664299078e+002 7.0e-010 1.00
51 1.1e-006 1.3e-002 7.2e-005 1.00e+000 1.664271754e+002 1.664298084e+002 6.3e-010 1.01
52 1.0e-006 1.2e-002 6.5e-005 1.00e+000 1.664273492e+002 1.664297189e+002 5.7e-010 1.05
53 9.2e-007 1.2e-002 5.8e-005 1.00e+000 1.664275056e+002 1.664296383e+002 5.1e-010 1.06
54 8.2e-007 1.1e-002 5.2e-005 1.00e+000 1.664276463e+002 1.664295657e+002 4.6e-010 1.08
55 7.4e-007 1.1e-002 4.7e-005 1.00e+000 1.664277729e+002 1.664295003e+002 4.2e-010 1.09
56 6.7e-007 1.1e-002 4.2e-005 1.00e+000 1.664278868e+002 1.664294414e+002 3.7e-010 1.11
57 6.0e-007 1.0e-002 3.8e-005 1.00e+000 1.664279892e+002 1.664293884e+002 3.4e-010 1.14
58 5.4e-007 1.0e-002 3.4e-005 1.00e+000 1.664280813e+002 1.664293406e+002 3.0e-010 1.16
59 4.9e-007 9.9e-003 3.1e-005 1.00e+000 1.664281642e+002 1.664292975e+002 2.7e-010 1.17
60 4.4e-007 9.7e-003 2.8e-005 1.00e+000 1.664282387e+002 1.664292587e+002 2.5e-010 1.19
61 3.9e-007 9.5e-003 2.5e-005 1.00e+000 1.664283058e+002 1.664292238e+002 2.2e-010 1.22
62 3.6e-007 9.4e-003 2.3e-005 1.00e+000 1.664283661e+002 1.664291923e+002 2.0e-010 1.23
63 3.2e-007 9.2e-003 2.0e-005 1.00e+000 1.664284203e+002 1.664291639e+002 1.8e-010 1.25
64 2.9e-007 9.1e-003 1.8e-005 1.00e+000 1.664284692e+002 1.664291384e+002 1.6e-010 1.26
65 2.6e-007 8.9e-003 1.6e-005 1.00e+000 1.664285131e+002 1.664291154e+002 1.5e-010 1.28
66 2.3e-007 8.8e-003 1.5e-005 1.00e+000 1.664285526e+002 1.664290947e+002 1.3e-010 1.31
67 2.1e-007 8.7e-003 1.3e-005 1.00e+000 1.664285882e+002 1.664290760e+002 1.2e-010 1.33
68 1.9e-007 8.6e-003 1.2e-005 1.00e+000 1.664286202e+002 1.664290591e+002 1.1e-010 1.34
69 1.7e-007 8.5e-003 1.1e-005 1.00e+000 1.664286490e+002 1.664290440e+002 9.5e-011 1.38
70 1.5e-007 8.5e-003 9.7e-006 1.00e+000 1.664286749e+002 1.664290304e+002 8.6e-011 1.39
71 1.4e-007 8.4e-003 8.7e-006 9.99e-001 1.664286982e+002 1.664290182e+002 7.7e-011 1.41
72 1.2e-007 8.3e-003 7.9e-006 1.00e+000 1.664287192e+002 1.664290072e+002 6.9e-011 1.42
73 1.1e-007 8.3e-003 7.1e-006 1.00e+000 1.664287381e+002 1.664289972e+002 6.2e-011 1.45
74 1.0e-007 8.2e-003 6.4e-006 9.99e-001 1.664287551e+002 1.664289883e+002 5.6e-011 1.47
75 9.0e-008 8.2e-003 5.7e-006 1.00e+000 1.664287704e+002 1.664289803e+002 5.1e-011 1.48
76 8.1e-008 8.1e-003 5.2e-006 1.00e+000 1.664287842e+002 1.664289731e+002 4.6e-011 1.50
77 7.3e-008 8.1e-003 4.6e-006 1.00e+000 1.664287966e+002 1.664289666e+002 4.1e-011 1.51
78 6.6e-008 8.0e-003 4.2e-006 9.99e-001 1.664288078e+002 1.664289607e+002 3.7e-011 1.55
79 5.9e-008 8.0e-003 3.8e-006 9.99e-001 1.664288178e+002 1.664289555e+002 3.3e-011 1.56
80 5.3e-008 8.0e-003 3.4e-006 1.00e+000 1.664288268e+002 1.664289507e+002 3.0e-011 1.58
81 4.8e-008 7.9e-003 3.0e-006 1.00e+000 1.664288350e+002 1.664289465e+002 2.7e-011 1.59
82 4.3e-008 7.9e-003 2.7e-006 1.00e+000 1.664288423e+002 1.664289427e+002 2.4e-011 1.61
83 3.9e-008 7.9e-003 2.5e-006 9.98e-001 1.664288489e+002 1.664289392e+002 2.2e-011 1.64
84 3.5e-008 7.9e-003 2.2e-006 9.97e-001 1.664288548e+002 1.664289361e+002 2.0e-011 1.66
85 3.1e-008 7.8e-003 2.0e-006 9.97e-001 1.664288602e+002 1.664289334e+002 1.8e-011 1.67
86 2.8e-008 7.8e-003 1.8e-006 9.89e-001 1.664288650e+002 1.664289309e+002 1.6e-011 1.69
87 2.6e-008 7.8e-003 1.6e-006 9.94e-001 1.664288693e+002 1.664289286e+002 1.4e-011 1.72
88 2.3e-008 7.8e-003 1.5e-006 9.98e-001 1.664288732e+002 1.664289266e+002 1.3e-011 1.73
89 2.1e-008 7.0e-003 1.3e-006 1.01e+000 1.664288768e+002 1.664289247e+002 1.2e-011 1.75
90 1.9e-008 6.3e-003 1.2e-006 9.94e-001 1.664288800e+002 1.664289230e+002 1.0e-011 1.76
91 1.7e-008 5.7e-003 1.1e-006 9.98e-001 1.664288828e+002 1.664289216e+002 9.4e-012 1.80
92 1.5e-008 5.1e-003 9.6e-007 1.01e+000 1.664288855e+002 1.664289202e+002 8.5e-012 1.81
93 1.4e-008 4.6e-003 8.6e-007 9.81e-001 1.664288877e+002 1.664289190e+002 7.7e-012 1.83
94 1.2e-008 4.1e-003 7.7e-007 9.66e-001 1.664288898e+002 1.664289180e+002 6.9e-012 1.84
95 1.1e-008 3.7e-003 7.0e-007 9.69e-001 1.664288916e+002 1.664289170e+002 6.2e-012 1.88
96 1.0e-008 3.3e-003 6.3e-007 1.02e+000 1.664288935e+002 1.664289159e+002 5.6e-012 1.91
97 9.1e-009 3.0e-003 5.6e-007 1.03e+000 1.664288951e+002 1.664289151e+002 5.1e-012 1.92
98 8.3e-009 2.7e-003 5.1e-007 1.04e+000 1.664288967e+002 1.664289143e+002 4.7e-012 1.95
99 2.2e-008 2.4e-003 4.6e-007 6.37e-001 1.664288971e+002 1.664289165e+002 4.2e-012 1.97
100 2.0e-008 2.2e-003 4.1e-007 9.77e-001 1.664288982e+002 1.664289157e+002 3.8e-012 2.00
101 1.8e-008 2.0e-003 3.7e-007 9.92e-001 1.664288992e+002 1.664289150e+002 3.4e-012 2.02
102 1.6e-008 1.8e-003 3.3e-007 1.01e+000 1.664289002e+002 1.664289143e+002 3.1e-012 2.03
103 1.5e-008 1.6e-003 3.0e-007 9.18e-001 1.664289010e+002 1.664289137e+002 2.8e-012 2.06
104 1.3e-008 1.4e-003 2.7e-007 9.65e-001 1.664289017e+002 1.664289133e+002 2.5e-012 2.08
105 1.3e-008 1.3e-003 2.4e-007 9.83e-001 1.664289024e+002 1.664289127e+002 2.2e-012 2.11
106 1.2e-008 1.2e-003 2.2e-007 1.16e+000 1.664289034e+002 1.664289118e+002 2.2e-012 2.14
107 1.2e-008 1.0e-003 2.0e-007 1.10e+000 1.664289041e+002 1.664289114e+002 2.1e-012 2.16
108 1.1e-008 9.4e-004 1.8e-007 1.02e+000 1.664289045e+002 1.664289110e+002 1.9e-012 2.19
109 1.2e-008 8.8e-004 1.6e-007 9.46e-001 1.664289049e+002 1.664289109e+002 1.7e-012 2.22
110 1.1e-008 7.9e-004 1.4e-007 9.90e-001 1.664289052e+002 1.664289107e+002 1.5e-012 2.23
111 9.6e-009 7.2e-004 1.3e-007 9.65e-001 1.664289055e+002 1.664289105e+002 1.4e-012 2.27
112 8.7e-009 6.4e-004 1.2e-007 9.86e-001 1.664289058e+002 1.664289102e+002 1.2e-012 2.30
113 7.7e-009 5.8e-004 1.0e-007 9.85e-001 1.664289061e+002 1.664289100e+002 1.1e-012 2.33
114 6.9e-009 5.2e-004 9.4e-008 1.01e+000 1.664289063e+002 1.664289099e+002 9.9e-013 2.36
Interior-point optimizer terminated. Time: 2.36.
Optimizer terminated. Time: 2.38
solsta = 1, prosta = 1
Interior-point solution summary
Problem status : PRIMAL_AND_DUAL_FEASIBLE
Solution status : OPTIMAL
Primal. obj: 1.6642890630e+002 nrm: 2e+001 Viol. con: 2e-007 var: 0e+000
Dual. obj: 1.6642890987e+002 nrm: 1e+003 Viol. con: 0e+000 var: 4e-003
* End solution on dual form. *
Transforming to primal solution.
Solving took 2.4 seconds.
Solving took 9 GP solves and 37.1 seconds.
Solves with these variables bounded:
value near lower bound: CruiseAlt_Mission
value near upper bound: \alpha_{max}_Mission/Aircraft/Engine/Thrust, A_{tri}_Mission/Aircraft/Wing/WingNoStruct, TotalTime_Mission, M_{r_{out}}_Mission/Aircraft/HorizontalTail/WingBox, d_{nacelle}_Mission/Aircraft/LandingGear, T_{t_{4.1_{max-Cruise}}}_Mission
Checking for relaxed constants...
GP iteration 0 has relaxed constants
Cost
----
2.048e+121
Free Variables
--------------
| Mission/Aircraft/Engine/Compressor/Relax
C_{p_{air} : 1.125 Cp Value for Air at 250K
| Mission/Aircraft/Engine/Turbine/Relax
C_{p_{t2}} : 2.471 Cp Value for Combustion Products in LP Turbine
| Mission/Aircraft/Fuselage/Relax
l_{nose} : 1.063 Nose length
n_{pass} : [ 3.1 ] Number of passengers
| Mission/Aircraft/Relax
f_{L_{total/wing}} : 1.837 Total lift as a percentage of wing lift
| Mission/Aircraft/Wing/WingNoStruct/Relax
\tan(\Lambda) : 1.094 Tangent of quarter-chord sweep angle
| Mission/FlightState/Atmosphere/Relax
L_{atm} : [ 1.93 1 1 1 1 ] Temperature lapse rate
T_{sl} : [ 1 1 1.17 1 1 ] Temperature at sea level
| Mission/Relax
R_{req} : 5.653 Required Cruise Range
GP iteration 1 has relaxed constants
Cost
----
1.04e+83
Free Variables
--------------
| Mission/Aircraft/Engine/Combustor/Relax
C_{p_{c}} : 1.05 Cp Value for Fuel/Air Mix in Combustor
| Mission/Aircraft/Engine/Turbine/Relax
C_{p_{t2}} : 1.719 Cp Value for Combustion Products in LP Turbine
| Mission/Aircraft/Fuselage/Relax
n_{pass} : [ 1.1 ] Number of passengers
| Mission/Aircraft/LandingGear/Relax
h_{hold} : 1.008 Hold height
| Mission/Aircraft/Relax
f_{L_{total/wing}} : 1.415 Total lift as a percentage of wing lift
WEIGHT DIFFERENCES
Total Fuel Weight Percent Diff: [-92.79832632]
Total Aircraft Weight Percent Diff: [-21.81343711]
Engine Weight Percent Diff: -58.009777349305935
Fuselage Weight Percent Diff: -0.8731241643966777
Payload Weight Percent Diff: [-0.04003549]
VT Weight Percent Diff: -9.53441677752906
HT Weight Percent Diff: -92.86182704479198
Wing Weight Percent Diff: 7.692500483957656
WING DIFFERENCES
Wing Span Percent Diff: -0.029999107863313793
Wing Area Percent Diff: 33.30556484218683
HORIZONTAL TAIL DIFFERENCES
HT Area Percent Diff: 40.746190242354615
VERTICAL TAIL DIFFERENCES
VT Span Percent Diff: -11.32423737697405
VT Area Percent Diff: -60.65519074835815
CRUISE SEGMENT 1 DRAG DIFFERENCES
Overall Cd Percent Diff: [-19.05198141]
L/D Percent Diff: [24.01269186]
Nacelle Cd Percent Diff: [-94.54388004]
HT Cd Percent Diff: [-80.41760965] dimensionless
Fuselage Cd Percent Diff: [108.78752887]
VT Cd Percent Diff: [-58.4454963] dimensionless
Wing Cd percent Diff: [-14.66132127]
Induced Drag Cd Percent Diff: [0.26567227]
CRUISE SEGMENT 1 TSFC DIFFERENCES
Initial Cruise TSFC Percent Diff: [-90.3421436]
FUSELAGE DIFFERENCES
Weight of HB material: -38.21010988839829
Weight of VB material: 87.71098948218071
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.70524433]
Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 44.427s
OK
Generating XML reports...
Cloning into 'solar'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/convexengineering/gpfit.git
Cloning https://github.com/convexengineering/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-hppbyd
Running command git clone -q https://github.com/convexengineering/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-hppbyd'
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-imp99r\wheels\d5\94\ac\b1f68b07599181f26f4b9149a1a6d49dfc5cdbc65de1a14d12
Successfully built gpfit
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/convexengineering/gassolar.git
Cloning https://github.com/convexengineering/gassolar.git to c:\users\jenkins\appdata\local\temp\pip-req-build-cychsk
Running command git clone -q https://github.com/convexengineering/gassolar.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-cychsk'
Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gassolar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0)
Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3)
Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0)
Building wheels for collected packages: gassolar
Building wheel for gassolar (setup.py): started
Building wheel for gassolar (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-12sion\wheels\fe\11\0a\2dde16df75c51194d20248ec9e30e88fc7200e9fc4664b032e
Successfully built gassolar
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Processing c:\users\jenkins\workspace\gplibrary_pr_models\mosek\solar
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.2.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from solar==0.0.0.0) (0.9.0.1)
Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from solar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in c:\users\jenkins\workspace\gplibrary_pr_models\mosek (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.11.0)
Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2017.3)
Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2.6.1)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0)
Building wheels for collected packages: solar
Building wheel for solar (setup.py): started
Building wheel for solar (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-bryhyl\wheels\f4\d5\5c\e37fedf74a44fbd5641b13d5622b97d759218ff594b631174a
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'
Beginning signomial solve.
Solving took 5 GP solves and 2.75 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1632916.9441 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission/Climb/Airc could cause inaccurate result because it is above upper bound. Solution is 1259333.2964 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 1.94 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1036204.4215 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.1/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1006645.3403 but bound is 1000000.0000
Beginning signomial solve.
Solving took 7 GP solves and 2.58 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.2/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1019678.5273 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 2.42 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 976142.1405 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.3/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1042059.4012 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 3.22 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.4/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.4/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1007400.4733 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.4/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1092545.5063 but bound is 1000000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.4 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.5/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.5/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1119121.2076 but bound is 600000.0000
Beginning signomial solve.
Solving took 5 GP solves and 1.74 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1632916.9432 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission/Climb/Airc could cause inaccurate result because it is above upper bound. Solution is 1259333.2959 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 1.89 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1036204.4218 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.1/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1006645.3405 but bound is 1000000.0000
Beginning signomial solve.
Solving took 7 GP solves and 2.48 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.2/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1019678.5273 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 2.29 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 976142.1406 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.3/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1042059.4013 but bound is 1000000.0000
Beginning signomial solve.
Solving took 6 GP solves and 2.74 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.4/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.4/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1007400.4736 but bound is 600000.0000
Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,))
gpkit.Variable(Re_Mission.4/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1092545.5066 but bound is 1000000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.22 seconds.
Warning: Variable [gpkit.Variable(CL_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.5/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.5/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.5/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 5.9 seconds.
Allowing negative dual variable(s) as small as -3.2024055369706146e-10.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7478 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.77 seconds.
Allowing negative dual variable(s) as small as -8.813350813511484e-11.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 729183.6152 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.47 seconds.
Allowing negative dual variable(s) as small as -6.28252175060365e-11.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 802959.5991 but bound is 600000.0000
Using solver 'mosek'
Solving for 7672 variables.
Solving took 2.54 seconds.
Allowing negative dual variable(s) as small as -9.669428466082112e-12.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 839122.5057 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.83 seconds.
Allowing negative dual variable(s) as small as -3.866961963800067e-11.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7467 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 5.93 seconds.
Allowing negative dual variable(s) as small as -6.2915810687881256e-12.
Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 729183.6149 but bound is 600000.0000
Using solver 'mosek'
Solving for 14852 variables.
Solving took 4.73 seconds.
Allowing negative dual variable(s) as small as -3.232120345883402e-09.
Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 802959.6456 but bound is 600000.0000
Using solver 'mosek'
Solving for 7672 variables.
Solving took 2.54 seconds.
Allowing negative dual variable(s) as small as -1.1855572965883739e-11.
Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 839122.5075 but bound is 600000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.21 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1119121.2075 but bound is 600000.0000
Beginning signomial solve.
Solving took 4 GP solves and 1.26 seconds.
Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,))
gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1119121.2075 but bound is 600000.0000
Running tests...
----------------------------------------------------------------------
c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: divide by zero encountered in divide
tau = np.exp(-0.175/costhsun)
....
----------------------------------------------------------------------
Ran 6 tests in 325.086s
OK
Generating XML reports...
Cloning into 'gplibrary'...
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3)
Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4)
Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1)
Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0)
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-4o9261
Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-4o9261'
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages
Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1)
Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3)
Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2)
Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-skjthq\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f
Successfully built gpfit
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Processing c:\users\jenkins\workspace\gplibrary_pr_models\mosek\gplibrary
Requirement already satisfied: numpy>=1.12 in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4)
Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2)
Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2)
Building wheels for collected packages: gpkitmodels
Building wheel for gpkitmodels (setup.py): started
Building wheel for gpkitmodels (setup.py): finished with status 'done'
Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-jzvsog\wheels\a3\80\70\6d80d6b876aaa160fc8dda3c238a4f64c571e65f335a009034
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
Found existing installation: gpkitmodels 0.0.0.0
Uninstalling gpkitmodels-0.0.0.0:
Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0
adding test for 'gpkitmodels/GP/aircraft/wing/wing_test.py'
adding test for 'gpkitmodels/GP/aircraft/tail/tail_tests.py'
adding test for 'gpkitmodels/GP/aircraft/fuselage/test_fuselage.py'
adding test for 'gpkitmodels/GP/aircraft/prop/prop_test.py'
adding test for 'gpkitmodels/GP/aircraft/motor/motor_test.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_mission.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py'
Using solver 'mosek'
Solving for 11 variables.
Solving took 0.029 seconds.
Using solver 'mosek_cli'
Solving for 11 variables.
Solving took 0.082 seconds.
Using solver 'mosek'
Solving for 9 variables.
Solving took 0.018 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.019 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.017 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 1.06 seconds.
Using solver 'mosek_cli'
Solving for 9 variables.
Solving took 0.068 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.092 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.093 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 3.03 seconds.
Using solver 'mosek'
Solving for 13 variables.
Solving took 0.078 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 0.812 seconds.
Warning: Variable [gpkit.Variable(cl_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(cl_BladeElementProp/Blade could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable [gpkit.Variable(Re_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(Re_BladeElementProp/Blade could cause inaccurate result because it is above upper bound. Solution is 1619896.4245 but bound is 700000.0000
Using solver 'mosek_cli'
Solving for 13 variables.
Solving took 0.084 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 1.78 seconds.
Warning: Variable [gpkit.Variable(cl_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(cl_BladeElementProp/Blade could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable [gpkit.Variable(Re_BladeElementProp/BladeElementPerf_(0,))
gpkit.Variable(Re_BladeElementProp/Blade could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220953.3838 but bound is 1000000.0000
Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499787.9776 but bound is 1000000.0000
Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 2223878.3883 but bound is 1000000.0000
Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 2223877.9590 but bound is 1000000.0000
Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1884891.6332 but bound is 700000.0000
Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910419.6195 but bound is 700000.0000
Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Beginning signomial solve.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.026 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.035 seconds.
SP is not converging! Last GP iteration had a higher cost (2.4e+03) than the previous one (2.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.027 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.024 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.024 seconds.
Using solver 'mosek'
Solving for 121 variables.
Solving took 0.026 seconds.
Solving took 6 GP solves and 0.341 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.105 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.181 seconds.
SP is not converging! Last GP iteration had a higher cost (2.4e+03) than the previous one (2.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.128 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.123 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.1 seconds.
Using solver 'mosek_cli'
Solving for 121 variables.
Solving took 0.169 seconds.
Solving took 6 GP solves and 0.991 seconds.
Beginning signomial solve.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.076 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.043 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (2.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.053 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (3.5e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.033 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.042 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.048 seconds.
Using solver 'mosek'
Solving for 240 variables.
Solving took 0.041 seconds.
Solving took 7 GP solves and 0.713 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.148 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.168 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (2.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.124 seconds.
SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (3.5e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.155 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.159 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.138 seconds.
Using solver 'mosek_cli'
Solving for 240 variables.
Solving took 0.139 seconds.
Solving took 7 GP solves and 1.48 seconds.
Beginning signomial solve.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.034 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.019 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.019 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.019 seconds.
Solving took 4 GP solves and 0.104 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.079 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.077 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.072 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.085 seconds.
Solving took 4 GP solves and 0.325 seconds.
Running tests...
----------------------------------------------------------------------
..c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..............
----------------------------------------------------------------------
Ran 16 tests in 17.463s
OK
Generating XML reports...
Cloning into 'eVTOL'...
adding test for 'aircraft_models.py'
Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 1.740s
OK
Generating XML reports...
e goes for any other bugs you encounter with GPkit:
send 'em our way, along with any interesting models, speculative features,
comments, discussions, or clarifications you feel like sharing.
Finally, we hope you find our documentation (https://gpkit.readthedocs.io/)
and engineering-design models (https://github.com/convexengineering/gplibrary/)
to be useful resources for your own applications.
Enjoy!
USING LOCAL DIRECTORY AS GPKITMODELS DIRECTORY
calling ['pip', 'install', '--no-cache-dir', '--no-deps', '-e', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git']
attempt 1
SETTINGS
defaultdict(, {})
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git']
attempt 1
SETTINGS
defaultdict(, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/jho.git']
attempt 1
SETTINGS
defaultdict(, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/turbofan.git']
attempt 1
SETTINGS
defaultdict(, {'skipsolvers': 'cvxopt, mosek_cli', 'gpkit-models branch': 'master'})
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/SPaircraft.git']
attempt 1
SETTINGS
defaultdict(, {'skipsolvers': 'cvxopt, mosek_cli', 'pip install': 'git+https://github.com/hoburg/turbofan.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'git+https://github.com/hoburg/turbofan.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/solar.git']
attempt 1
SETTINGS
defaultdict(, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/convexengineering/gpfit.git']
attempt 1
calling ['pip', 'install', 'git+https://github.com/convexengineering/gassolar.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
attempt 1
SETTINGS
defaultdict(, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'})
calling ['pip', 'install', 'pandas']
attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/eVTOL.git']
attempt 1
SETTINGS
defaultdict(, {})
----------------------------------------------------------------------
Ran 239 tests in 51.507s
OK
(venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek>exit 0
Build step 'Console output (build log) parsing' changed build result to FAILURE
INFO: Starting to record.
INFO: Processing JUnit
INFO: [JUnit] - 8 test report file(s) were found with the pattern '**/test_reports/*.xml, **/test_reports_nounits/*.xml' relative to 'C:\Users\jenkins\workspace\gplibrary_PR_Models\mosek' for the testing framework 'JUnit'.
INFO: Check 'Failed Tests' threshold.
INFO: Check 'Skipped Tests' threshold.
INFO: Setting the build status to FAILURE
INFO: Stopping recording.
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: FAILURE