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 windows7x64 in workspace D:\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 > git init D:\jenkins\workspace\gplibrary_PR_Models\mosek # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > git --version # timeout=10 > git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > 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 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branch in repository origin/wide_body Seen branch in repository origin/wvl Seen 215 remote branches > git show-ref --tags -d # timeout=10 Checking out Revision 5f064414f98f3ebfb2fb71be7f2c546e31bffe3c (origin/pr/175/merge, origin/master) > git config core.sparsecheckout # timeout=10 > 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 [windows7x64] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]] Run condition [Execution node ] preventing perform for step [Execute shell] [Execution node] check if [windows7x64] 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\jenkins8492615826415466754.bat D:\jenkins\workspace\gplibrary_PR_Models\mosek>echo C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;%CommonProgramFiles%\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;%CommonProgramFiles%\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM turn on the anaconda console D:\jenkins\workspace\gplibrary_PR_Models\mosek>call activate.bat || exit /b 666 (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM Create a virtualenv to install everything into (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>SET VENV=D:\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>virtualenv --system-site-packages D:\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit || exit /b 666 New python executable in D:\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts\python.exe Installing setuptools, pip, wheel...done. (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>call D:\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts\activate.bat || exit /b 666 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>set PATH=C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;D:\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts;D:\Anaconda2;D:\Anaconda2\Library\mingw-w64\bin;D:\Anaconda2\Library\usr\bin;D:\Anaconda2\Library\bin;D:\Anaconda2\Scripts;D:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd (venv2_gpkit) (base) D:\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;D:\jenkins\workspace\gplibrary_PR_Models\mosek\venv2_gpkit\Scripts;D:\Anaconda2;D:\Anaconda2\Library\mingw-w64\bin;D:\Anaconda2\Library\usr\bin;D:\Anaconda2\Library\bin;D:\Anaconda2\Scripts;D:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\Microsoft SQL Server\110\Tools\Binn\;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;C:\Program Files (x86)\Microsoft SDKs\TypeScript\1.0\;C:\Program Files\Microsoft\Web Platform Installer\;C:\Program Files\Mosek\7\tools\platform\win64x86\bin;D:\Anaconda2;D:\Anaconda2\Scripts;D:\Anaconda2\Library\bin;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Program Files (x86)\Google\Chrome\Application;C:\Program Files\Common Files\Microsoft Shared\Windows Live;C:\Program Files\mingw-w64\x86_64-6.3.0-posix-seh-rt_v5-rev1\mingw64\bin;D:\Git\cmd (venv2_gpkit) (base) D:\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) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM upgdade pip (venv2_gpkit) (base) D:\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 d:\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages (19.1.1) (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM Install coverage into the virtualenv to the coverage command blow uses the virtualenv python (venv2_gpkit) (base) D:\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 d:\anaconda2\lib\site-packages (4.5.3) (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>SET GPKITBUILD=D:\jenkins\workspace\gplibrary_PR_Models\mosek\build_gpkit (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>if mosek == cvxopt ( pip install --upgrade cvxopt || exit /b 666 set GPKITSOLVERS=cvxopt ) (venv2_gpkit) (base) D:\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 ) Computer Platform : Windows/64-X86 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. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator - tries : 0 time : 0.00 Eliminator - elim's : 0 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.00 Interior-point optimizer terminated. Time: 0.05. Optimizer terminated. Time: 0.22 ************************************ A license was checked out correctly. ************************************ (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>python -c "import scipy; print scipy.__version__" || exit /b 666 1.2.2 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>python -c "import numpy; print numpy.__version__" || exit /b 666 1.16.4 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>python -c "import pint; print pint.__version__" || exit /b 666 0.9 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM Install gpkit to run the documentation examples (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>git clone --depth 1 https://github.com/convexengineering/gpkit.git || exit /b 666 Cloning into 'gpkit'... 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(venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>pip install -e D:\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:///D:/jenkins/workspace/gplibrary_PR_Models/mosek/gpkit Requirement already satisfied: numpy>=1.12.1 in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.16.4) Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (0.9) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.2) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit==0.9.0.1) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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) D:\jenkins\workspace\gplibrary_PR_Models\mosek>pip install -e D:\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:///D:/jenkins/workspace/gplibrary_PR_Models/mosek Requirement already satisfied: numpy>=1.12 in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\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) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM Show the settings file (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM type D:\jenkins\workspace\gplibrary_PR_Models\mosek\gpkit\gpkit\env\settings (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM dir D:\jenkins\workspace\gplibrary_PR_Models\mosek\build_gpkit (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>REM Limit number of threads that be can used (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>set MSK_IPAR_NUM_THREADS=2 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>set MKL_NUM_THREADS=2 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>set NUMEXPR_NUM_THREADS=2 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>set OPENBLAS_NUM_THREADS=2 (venv2_gpkit) (base) D:\jenkins\workspace\gplibrary_PR_Models\mosek>set OMP_NUM_THREADS=2 (venv2_gpkit) (base) D:\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\7\tools\platform\win64x86\h\mosek.h # Found C:\Program Files\Mosek\7\tools\platform\win64x86\bin\mosek64_7_1.dll # Found C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.c # Found C:\Program Files\Mosek\7\tools\examples\c\expopt.c # Found C:\Program Files\Mosek\7\tools\examples\c\dgopt.c # Found C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.h # Found C:\Program Files\Mosek\7\tools\examples\c\expopt.h # Found C:\Program Files\Mosek\7\tools\examples\c\dgopt.h # Found C:\Program Files\Mosek\7\tools\platform\win64x86\h\mosek.h # Found mosek version 7, installed to C:\Program Files\Mosek # # Building mosek... # Replacing directory _mosek\lib # Replacing directory _mosek\build # Replacing directory D:\jenkins\workspace\gplibrary_PR_Models\mosek\build_gpkit # # Copying expopt library files to _mosek\build # Copying C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.c # Copying C:\Program Files\Mosek\7\tools\examples\c\expopt.c # Copying C:\Program Files\Mosek\7\tools\examples\c\dgopt.c # Copying C:\Program Files\Mosek\7\tools\examples\c\scopt-ext.h # Copying C:\Program Files\Mosek\7\tools\examples\c\expopt.h # Copying C:\Program Files\Mosek\7\tools\examples\c\dgopt.h # Copying C:\Program Files\Mosek\7\tools\platform\win64x86\h\mosek.h # # Applying expopt patches... # # Change in _mosek\build\dgopt.con line 683 # -- 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 569 # -- printf("Warning: The variable with index '%d' has only positive # ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in # # Change in _mosek\build\expopt.con line 582 # -- printf("Warning: The variable with index '%d' has only negative # ++ 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\7\tools\platform\win64x86\bin" _mosek\build\scopt-ext.c _mosek\build\expopt.c _mosek\build\dgopt.c "C:\Program Files\Mosek\7\tools\platform\win64x86\bin\mosek64_7_1.dll" -o D:\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 D:/jenkins/workspace/gplibrary_PR_Models/mosek/build_gpkit/expopt.so -l "C:/Program Files/Mosek/7/tools/platform/win64x86/bin/mosek64_7_1.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 same goes for any otDEPRECATION: 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:///D:/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 0.66 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.03 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.146 seconds. Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 1.304s 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 d:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in d:\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-zgst3y Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-zgst3y' Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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-qann4i\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 d:\jenkins\workspace\gplibrary_pr_models\mosek\gassolar Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gassolar==0.0.0.0) (0.9.0.1) Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in d:\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 d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0) Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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): still running... Building wheel for gassolar (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-3fgznm\wheels\08\33\b8\d36cec4e8239569444cd725d0dbfe83a0cfc534951775e5535 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 5.47 seconds. Warning: Variable Re_Mission.2/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.3537 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 6.73 seconds. Warning: Variable Re_Mission.3/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.0509 but bound is 150000.0000 Using solver 'mosek_cli' Solving for 1250 variables. Solving took 2.47 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 11.6 seconds. 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... ---------------------------------------------------------------------- D:\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) EED:\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 [2.209s]: test_gassolar_gas_gas_py_mosek (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test testfn(name, import_dict, path)(self) File "d:\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 "d:\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 "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 94, in update self[k] = v File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 195, in __setitem__ key, idx = self.parse_and_index(key) File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 120, in parse_and_index raise KeyError(key) KeyError: 'Mission.Loiter.t' ====================================================================== ERROR [1.101s]: test_gassolar_gas_gas_py_mosek_cli (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test testfn(name, import_dict, path)(self) File "d:\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 "d:\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 "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 94, in update self[k] = v File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\keydict.py", line 195, in __setitem__ key, idx = self.parse_and_index(key) File "d:\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 44.050s 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 d:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in d:\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-fdp0mz Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-fdp0mz' Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in d:\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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-3hp9p6\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f Successfully built gpfit Running tests... ---------------------------------------------------------------------- D:\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 [2.336s]: test_model_jho_py_mosek (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test testfn(name, import_dict, path)(self) File "d:\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 "d:\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 "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__ return self._choosevar(key, self.variables_byname(key)) File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 112, in _choosevar raise KeyError(key) KeyError: 'Mission.Loiter.t' ====================================================================== ERROR [1.102s]: test_model_jho_py_mosek_cli (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test testfn(name, import_dict, path)(self) File "d:\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 "d:\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 "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__ return self._choosevar(key, self.variables_byname(key)) File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 112, in _choosevar raise KeyError(key) KeyError: 'Mission.Loiter.t' ====================================================================== ERROR [1.206s]: test_model_print_perf_py_mosek (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test testfn(name, import_dict, path)(self) File "d:\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 "d:\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 "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__ return self._choosevar(key, self.variables_byname(key)) File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 112, in _choosevar raise KeyError(key) KeyError: 'Mission.Loiter.t' ====================================================================== ERROR [1.410s]: test_model_print_perf_py_mosek_cli (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\helpers.py", line 63, in test testfn(name, import_dict, path)(self) File "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\tests\from_paths.py", liadding test for 'model/jho.py' adding test for 'model/print_perf.py' ne 51, in lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "d:\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 "d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit\gpkit\constraints\set.py", line 108, in __getitem__ return self._choosevar(key, self.variables_byname(key)) File "d:\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 6.056s 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 d:\jenkins\workspace\gplibrary_pr_models\mosek\turbofan Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\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-pgz_pg\wheels\e5\cb\a8\3b11c975e79b3f632de8c1b88ce438a834a6b07b3850d6b107 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 0.219 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.324 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.323 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.057 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.067 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.083 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.062 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.075 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.078 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.067 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.075 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.067 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.066 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.073 seconds. Solving took 14 GP solves and 2.85 seconds. Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 3.461s OK Generating XML reports... Cloning into 'SPaircraft'... 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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. 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-xiddyw Running command git clone -q https://github.com/hoburg/turbofan.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-xiddyw' Requirement already satisfied (use --upgrade to upgrade): turbofan==0.0.0.0 from git+https://github.com/hoburg/turbofan.git in d:\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\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-nrbiga\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 d:\jenkins\workspace\gplibrary_pr_models\mosek\spaircraft Requirement already satisfied: turbofan in d:\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 d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from SPaircraft==0.0.0) (0.9.0.1) Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.2.2) Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint->turbofan->SPaircraft==0.0.0) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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-fwjidk\wheels\83\33\48\46e2a83577c066f04d5b92d8d640ac18a789d39758340a2f0b 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 944 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 944 Lin. dep. - tries : 1 time : 0.01 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 : 781 Optimizer - Cones : 0 Optimizer - Scalar variables : 3472 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 : 0.03 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.287289283e+005 2.000000000e+000 1.0e+000 0.11 1 1.1e+003 1.5e+003 6.3e+004 -9.71e-001 -1.266881161e+005 3.612361942e+000 4.9e-001 0.98 2 4.3e+002 5.5e+002 2.4e+004 -9.38e-001 -1.203943059e+005 1.033355919e+001 1.9e-001 2.71 3 2.9e+002 3.7e+002 1.6e+004 -8.39e-001 -1.158566621e+005 6.234847545e+001 1.3e-001 3.98 4 2.9e+002 3.7e+002 1.6e+004 -7.61e-001 -1.132873876e+005 2.214621093e+003 1.3e-001 4.52 5 8.5e+001 1.1e+002 4.8e+003 -7.54e-001 -7.937920607e+004 8.925905509e+003 3.8e-002 4.96 6 3.6e+001 4.7e+001 2.0e+003 -2.68e-001 -4.721142539e+004 1.025501204e+004 1.6e-002 5.24 7 2.1e+001 2.7e+001 1.2e+003 2.67e-001 -3.113531196e+004 7.239995272e+003 9.4e-003 5.45 8 9.6e+000 1.3e+001 5.4e+002 5.48e-001 -1.534496585e+004 4.352756921e+003 4.3e-003 5.65 9 5.6e+000 7.3e+000 3.2e+002 8.12e-001 -8.990052760e+003 2.939478000e+003 2.5e-003 6.52 10 1.2e+000 1.6e+000 7.0e+001 9.05e-001 -1.722019893e+003 9.564876196e+002 5.5e-004 6.54 11 6.3e-001 8.1e-001 3.6e+001 9.97e-001 -7.185670286e+002 6.721370071e+002 2.9e-004 6.57 12 4.9e-001 6.4e-001 2.8e+001 9.94e-001 -5.051655081e+002 5.927517189e+002 2.3e-004 6.58 13 3.6e-001 6.7e-001 2.1e+001 9.78e-001 -2.999453699e+002 5.108715009e+002 1.7e-004 6.60 14 1.6e-001 3.0e-001 9.1e+000 9.95e-001 3.123334756e+001 3.860303658e+002 7.3e-005 6.62 15 6.4e-002 1.7e-001 3.8e+000 9.94e-001 1.757756859e+002 3.230833006e+002 3.1e-005 6.63 16 1.8e-002 1.7e-001 1.1e+000 9.97e-001 2.493166135e+002 2.913658416e+002 8.9e-006 6.65 17 5.4e-003 1.3e-001 3.4e-001 1.00e+000 2.696812095e+002 2.829677258e+002 2.9e-006 6.68 18 1.2e-003 1.4e-001 7.8e-002 1.01e+000 2.771085386e+002 2.801336912e+002 6.6e-007 6.69 19 7.4e-004 9.8e-002 4.8e-002 1.00e+000 2.779791106e+002 2.798357144e+002 4.1e-007 6.71 20 6.6e-004 8.9e-002 4.3e-002 1.00e+000 2.781176621e+002 2.797887781e+002 3.7e-007 6.72 21 2.9e-004 7.9e-002 1.9e-002 1.00e+000 2.787943877e+002 2.795304732e+002 1.6e-007 6.74 22 2.6e-004 7.1e-002 1.7e-002 1.00e+000 2.788492336e+002 2.795117179e+002 1.5e-007 6.75 23 2.4e-004 6.5e-002 1.5e-002 1.00e+000 2.788973520e+002 2.794935447e+002 1.3e-007 6.79 24 2.1e-004 5.9e-002 1.4e-002 1.00e+000 2.789406633e+002 2.794772070e+002 1.2e-007 6.80 25 1.9e-004 5.4e-002 1.2e-002 1.00e+000 2.789796157e+002 2.794624798e+002 1.1e-007 6.82 26 1.7e-004 4.9e-002 1.1e-002 1.00e+000 2.790146635e+002 2.794492206e+002 9.6e-008 6.83 27 1.6e-004 4.5e-002 1.0e-002 1.00e+000 2.790461995e+002 2.794372842e+002 8.6e-008 6.85 28 1.4e-004 4.1e-002 9.0e-003 1.00e+000 2.790745776e+002 2.794265400e+002 7.8e-008 6.88 29 1.3e-004 3.8e-002 8.1e-003 1.00e+000 2.791001147e+002 2.794168698e+002 7.0e-008 6.89 30 1.1e-004 3.5e-002 7.3e-003 1.00e+000 2.791230960e+002 2.794081665e+002 6.3e-008 6.91 31 1.0e-004 3.2e-002 6.6e-003 1.00e+000 2.791437776e+002 2.794003337e+002 5.7e-008 6.94 32 9.2e-005 3.0e-002 5.9e-003 1.00e+000 2.791623901e+002 2.793932846e+002 5.1e-008 6.96 33 8.2e-005 2.8e-002 5.3e-003 1.00e+000 2.791791404e+002 2.793869407e+002 4.6e-008 6.97 34 7.4e-005 2.6e-002 4.8e-003 1.00e+000 2.791942149e+002 2.793812313e+002 4.1e-008 6.99 35 6.7e-005 2.4e-002 4.3e-003 1.00e+000 2.792077814e+002 2.793760930e+002 3.7e-008 7.05 36 6.0e-005 2.2e-002 3.9e-003 1.00e+000 2.792199905e+002 2.793714685e+002 3.4e-008 7.08 37 5.4e-005 2.1e-002 3.5e-003 1.00e+000 2.792309781e+002 2.793673063e+002 3.0e-008 7.10 38 4.9e-005 1.9e-002 3.2e-003 1.00e+000 2.792408664e+002 2.793635601e+002 2.7e-008 7.11 39 4.4e-005 1.8e-002 2.8e-003 1.00e+000 2.792497652e+002 2.793601882e+002 2.4e-008 7.13 40 3.9e-005 1.7e-002 2.6e-003 1.00e+000 2.792577735e+002 2.793571532e+002 2.2e-008 7.16 41 3.5e-005 1.6e-002 2.3e-003 1.00e+000 2.792649804e+002 2.793544213e+002 2.0e-008 7.18 42 3.2e-005 1.5e-002 2.1e-003 1.00e+000 2.792714661e+002 2.793519623e+002 1.8e-008 7.19 43 2.9e-005 1.5e-002 1.9e-003 1.00e+000 2.792773027e+002 2.793497488e+002 1.6e-008 7.22 44 2.6e-005 1.4e-002 1.7e-003 1.00e+000 2.792825551e+002 2.793477562e+002 1.4e-008 7.24 45 2.3e-005 1.3e-002 1.5e-003 1.00e+000 2.792872818e+002 2.793459624e+002 1.3e-008 7.25 46 2.1e-005 1.3e-002 1.4e-003 1.00e+000 2.792915353e+002 2.793443476e+002 1.2e-008 7.29 47 1.9e-005 1.2e-002 1.2e-003 1.00e+000 2.792953630e+002 2.793428939e+002 1.1e-008 7.30 48 1.7e-005 1.2e-002 1.1e-003 1.00e+000 2.792988074e+002 2.793415851e+002 9.5e-009 7.32 49 1.5e-005 1.1e-002 9.9e-004 1.00e+000 2.793019070e+002 2.793404067e+002 8.5e-009 7.33 50 1.4e-005 1.1e-002 8.9e-004 1.00e+000 2.793046961e+002 2.793393458e+002 7.7e-009 7.35 51 1.2e-005 1.1e-002 8.0e-004 1.00e+000 2.793072059e+002 2.793383906e+002 6.9e-009 7.38 52 1.1e-005 1.0e-002 7.2e-004 1.00e+000 2.793094643e+002 2.793375305e+002 6.2e-009 7.39 53 1.0e-005 1.0e-002 6.5e-004 1.00e+000 2.793114965e+002 2.793367560e+002 5.6e-009 7.41 54 9.0e-006 9.7e-003 5.8e-004 1.00e+000 2.793133251e+002 2.793360586e+002 5.0e-009 7.43 55 8.1e-006 9.5e-003 5.3e-004 1.00e+000 2.793149705e+002 2.793354306e+002 4.5e-009 7.44 56 7.3e-006 9.3e-003 4.7e-004 1.00e+000 2.793164510e+002 2.793348651e+002 4.1e-009 7.46 57 6.6e-006 9.1e-003 4.3e-004 1.00e+000 2.793177831e+002 2.793343558e+002 3.7e-009 7.49 58 5.9e-006 9.0e-003 3.8e-004 1.00e+000 2.793189818e+002 2.793338972e+002 3.3e-009 7.50 59 5.3e-006 8.8e-003 3.5e-004 1.00e+000 2.793200603e+002 2.793334842e+002 3.0e-009 7.52 60 4.8e-006 8.7e-003 3.1e-004 1.00e+000 2.793210308e+002 2.793331123e+002 2.7e-009 7.54 61 4.3e-006 8.6e-003 2.8e-004 1.00e+000 2.793219041e+002 2.793327774e+002 2.4e-009 7.55 62 3.9e-006 8.5e-003 2.5e-004 1.00e+000 2.793226898e+002 2.793324758e+002 2.2e-009 7.57 63 3.5e-006 8.4e-003 2.3e-004 1.00e+000 2.793233969e+002 2.793322043e+002 2.0e-009 7.60 64 3.1e-006 8.3e-003 2.0e-004 1.00e+000 2.793240331e+002 2.793319598e+002 1.8e-009 7.61 65 2.8e-006 8.2e-003 1.8e-004 1.00e+000 2.793246056e+002 2.793317396e+002 1.6e-009 7.63 66 2.5e-006 8.1e-003 1.7e-004 1.00e+000 2.793251208e+002 2.793315414e+002 1.4e-009 7.64 67 2.3e-006 8.0e-003 1.5e-004 1.00e+000 2.793255844e+002 2.793313629e+002 1.3e-009 7.67 68 2.1e-006 8.0e-003 1.3e-004 1.00e+000 2.793260015e+002 2.793312022e+002 1.2e-009 7.69 69 1.9e-006 7.9e-003 1.2e-004 1.00e+000 2.793263769e+002 2.793310576e+002 1.0e-009 7.71 70 2.0e-007 8.3e-004 1.3e-005 1.00e+000 2.793293960e+002 2.793298909e+002 1.1e-010 7.74 71 1.1e-008 4.6e-005 7.1e-007 1.00e+000 2.793297327e+002 2.793297604e+002 6.1e-012 7.75 72 6.8e-010 2.7e-006 4.2e-008 1.01e+000 2.793297515e+002 2.793297531e+002 3.4e-013 7.77 Interior-point optimizer terminated. Time: 7.79. Optimizer terminated. Time: 7.80 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 2.7932975147e+002 Viol. con: 1e-008 var: 0e+000 Dual. obj: 2.7932975309e+002 Viol. con: 0e+000 var: 2e-005 * End solution on dual form. * Transforming to primal solution. Solving took 7.82 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 Lin. dep. - tries : 1 time : 0.00 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3474 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.17 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.11 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.288647874e+005 2.000000000e+000 1.0e+000 0.22 1 1.1e+003 1.4e+003 6.1e+004 -9.71e-001 -1.266466015e+005 3.789905804e+000 4.7e-001 0.23 2 4.7e+002 6.0e+002 2.6e+004 -9.35e-001 -1.212946871e+005 9.831408853e+000 2.0e-001 0.27 3 2.9e+002 3.8e+002 1.6e+004 -8.51e-001 -1.160179307e+005 5.156583262e+001 1.3e-001 0.28 4 2.9e+002 3.7e+002 1.6e+004 -7.62e-001 -1.139812985e+005 1.792178091e+003 1.3e-001 0.31 5 8.4e+001 1.1e+002 4.7e+003 -7.57e-001 -7.869473692e+004 9.166922276e+003 3.7e-002 0.33 6 3.6e+001 4.6e+001 2.0e+003 -2.56e-001 -4.680918816e+004 1.036557522e+004 1.6e-002 0.36 7 1.9e+001 2.4e+001 1.1e+003 2.77e-001 -2.835377709e+004 6.679418237e+003 8.3e-003 0.39 8 8.7e+000 1.1e+001 4.9e+002 5.96e-001 -1.388127264e+004 3.923096523e+003 3.8e-003 0.42 9 5.5e+000 7.1e+000 3.1e+002 8.36e-001 -8.630192684e+003 2.967944649e+003 2.4e-003 0.44 10 2.6e+000 3.4e+000 1.5e+002 9.13e-001 -4.095347162e+003 1.573611253e+003 1.2e-003 0.47 11 1.5e+000 1.9e+000 8.3e+001 9.66e-001 -2.169052428e+003 1.051507142e+003 6.6e-004 0.48 12 1.1e+000 1.4e+000 6.0e+001 9.70e-001 -1.515885902e+003 8.113467513e+002 4.7e-004 0.51 13 3.6e-001 5.5e-001 2.1e+001 9.87e-001 -4.114637190e+002 3.988154789e+002 1.6e-004 0.53 14 2.3e-001 3.6e-001 1.3e+001 1.00e+000 -1.795819097e+002 3.438382357e+002 1.1e-004 0.56 15 6.1e-002 1.6e-001 3.6e+000 1.00e+000 9.030068664e+001 2.323516921e+002 2.9e-005 0.58 16 3.5e-002 1.1e-001 2.1e+000 1.01e+000 1.330537304e+002 2.137526439e+002 1.7e-005 0.61 17 1.8e-002 8.9e-002 1.1e+000 1.00e+000 1.605933990e+002 2.028396843e+002 8.9e-006 0.62 18 2.8e-003 1.8e-001 1.8e-001 1.01e+000 1.860541212e+002 1.930525318e+002 1.5e-006 0.64 19 1.2e-003 1.2e-001 7.7e-002 1.01e+000 1.889783346e+002 1.919755436e+002 6.6e-007 0.66 20 4.8e-004 9.3e-002 3.2e-002 1.01e+000 1.902626171e+002 1.914865774e+002 2.7e-007 0.69 21 1.7e-004 9.3e-002 1.1e-002 1.00e+000 1.908344819e+002 1.912746285e+002 9.8e-008 0.70 22 6.1e-005 9.2e-002 4.1e-003 1.00e+000 1.910395750e+002 1.911972831e+002 3.5e-008 0.73 23 5.5e-005 8.3e-002 3.7e-003 1.00e+000 1.910517716e+002 1.911937168e+002 3.2e-008 0.75 24 5.0e-005 7.6e-002 3.3e-003 1.00e+000 1.910619770e+002 1.911897188e+002 2.9e-008 0.76 25 4.5e-005 6.9e-002 3.0e-003 1.00e+000 1.910711957e+002 1.911861569e+002 2.6e-008 0.78 26 4.0e-005 6.3e-002 2.7e-003 1.00e+000 1.910794854e+002 1.911829452e+002 2.3e-008 0.80 27 3.6e-005 5.7e-002 2.4e-003 1.00e+000 1.910869422e+002 1.911800517e+002 2.1e-008 0.83 28 3.3e-005 5.2e-002 2.2e-003 1.00e+000 1.910936501e+002 1.911774451e+002 1.9e-008 0.84 29 2.9e-005 4.8e-002 2.0e-003 1.00e+000 1.910996847e+002 1.911750973e+002 1.7e-008 0.86 30 2.6e-005 4.4e-002 1.8e-003 1.00e+000 1.911051137e+002 1.911729827e+002 1.5e-008 0.87 31 2.4e-005 4.0e-002 1.6e-003 1.00e+000 1.911099982e+002 1.911710783e+002 1.4e-008 0.89 32 2.1e-005 3.7e-002 1.4e-003 1.00e+000 1.911143928e+002 1.911693634e+002 1.2e-008 0.90 33 1.9e-005 3.4e-002 1.3e-003 1.00e+000 1.911183468e+002 1.911678190e+002 1.1e-008 0.94 34 1.7e-005 3.1e-002 1.2e-003 1.00e+000 1.911219045e+002 1.911664285e+002 1.0e-008 0.95 35 1.6e-005 2.9e-002 1.0e-003 1.00e+000 1.911251056e+002 1.911651763e+002 9.0e-009 0.97 36 1.4e-005 2.7e-002 9.3e-004 1.00e+000 1.911279859e+002 1.911640489e+002 8.1e-009 0.98 37 1.3e-005 2.5e-002 8.4e-004 1.00e+000 1.911305776e+002 1.911630338e+002 7.3e-009 1.00 38 1.1e-005 2.3e-002 7.6e-004 1.00e+000 1.911329097e+002 1.911621198e+002 6.6e-009 1.01 39 1.0e-005 2.2e-002 6.8e-004 1.00e+000 1.911350082e+002 1.911612969e+002 5.9e-009 1.04 40 9.2e-006 2.0e-002 6.1e-004 1.00e+000 1.911368964e+002 1.911605560e+002 5.3e-009 1.06 41 8.3e-006 1.9e-002 5.5e-004 1.00e+000 1.911385955e+002 1.911598890e+002 4.8e-009 1.09 42 7.5e-006 1.8e-002 5.0e-004 1.00e+000 1.911401245e+002 1.911592884e+002 4.3e-009 1.11 43 6.7e-006 1.7e-002 4.5e-004 1.00e+000 1.911415003e+002 1.911587477e+002 3.9e-009 1.14 44 6.0e-006 1.6e-002 4.0e-004 1.00e+000 1.911427383e+002 1.911582608e+002 3.5e-009 1.17 45 5.4e-006 1.5e-002 3.6e-004 1.00e+000 1.911438523e+002 1.911578225e+002 3.1e-009 1.20 46 4.9e-006 1.4e-002 3.3e-004 1.00e+000 1.911448548e+002 1.911574279e+002 2.8e-009 1.22 47 4.4e-006 1.4e-002 2.9e-004 1.00e+000 1.911457568e+002 1.911570726e+002 2.5e-009 1.25 48 4.0e-006 1.3e-002 2.6e-004 1.00e+000 1.911465686e+002 1.911567527e+002 2.3e-009 1.26 49 3.6e-006 1.2e-002 2.4e-004 1.00e+000 1.911472991e+002 1.911564648e+002 2.1e-009 1.28 50 3.2e-006 1.2e-002 2.1e-004 1.00e+000 1.911479564e+002 1.911562055e+002 1.9e-009 1.29 51 2.9e-006 1.1e-002 1.9e-004 1.00e+000 1.911485479e+002 1.911559721e+002 1.7e-009 1.33 52 2.6e-006 1.1e-002 1.7e-004 1.00e+000 1.911490802e+002 1.911557620e+002 1.5e-009 1.34 53 2.3e-006 1.1e-002 1.6e-004 1.00e+000 1.911495592e+002 1.911555728e+002 1.4e-009 1.36 54 2.1e-006 1.0e-002 1.4e-004 1.00e+000 1.911499902e+002 1.911554025e+002 1.2e-009 1.37 55 1.9e-006 1.0e-002 1.3e-004 1.00e+000 1.911503781e+002 1.911552491e+002 1.1e-009 1.39 56 1.7e-006 9.8e-003 1.1e-004 1.00e+000 1.911507272e+002 1.911551111e+002 9.8e-010 1.40 57 1.5e-006 9.5e-003 1.0e-004 1.00e+000 1.911510413e+002 1.911549868e+002 8.9e-010 1.42 58 1.4e-006 9.3e-003 9.2e-005 1.00e+000 1.911513239e+002 1.911548749e+002 8.0e-010 1.44 59 1.2e-006 9.1e-003 8.3e-005 1.00e+000 1.911515783e+002 1.911547742e+002 7.2e-010 1.47 60 1.1e-006 8.9e-003 7.5e-005 1.00e+000 1.911518072e+002 1.911546835e+002 6.5e-010 1.48 61 1.0e-006 8.8e-003 6.7e-005 1.00e+000 1.911520132e+002 1.911546019e+002 5.8e-010 1.50 62 9.1e-007 8.6e-003 6.0e-005 1.00e+000 1.911521986e+002 1.911545284e+002 5.2e-010 1.51 63 8.2e-007 8.5e-003 5.4e-005 1.00e+000 1.911523654e+002 1.911544622e+002 4.7e-010 1.53 64 7.3e-007 8.4e-003 4.9e-005 1.00e+000 1.911525155e+002 1.911544027e+002 4.2e-010 1.54 65 6.6e-007 8.3e-003 4.4e-005 1.00e+000 1.911526506e+002 1.911543490e+002 3.8e-010 1.56 66 5.9e-007 8.2e-003 4.0e-005 1.00e+000 1.911527722e+002 1.911543008e+002 3.4e-010 1.58 67 5.3e-007 8.1e-003 3.6e-005 1.00e+000 1.911528816e+002 1.911542573e+002 3.1e-010 1.61 68 4.8e-007 8.0e-003 3.2e-005 1.00e+000 1.911529801e+002 1.911542182e+002 2.8e-010 1.62 69 4.3e-007 7.9e-003 2.9e-005 1.00e+000 1.911530686e+002 1.911541830e+002 2.5e-010 1.64 70 3.9e-007 7.8e-003 2.6e-005 1.00e+000 1.911531484e+002 1.911541513e+002 2.3e-010 1.65 71 3.5e-007 7.8e-003 2.3e-005 1.00e+000 1.911532201e+002 1.911541228e+002 2.0e-010 1.67 72 3.2e-007 7.7e-003 2.1e-005 1.00e+000 1.911532847e+002 1.911540971e+002 1.8e-010 1.68 73 2.8e-007 7.7e-003 1.9e-005 1.00e+000 1.911533428e+002 1.911540739e+002 1.6e-010 1.70 74 2.6e-007 7.6e-003 1.7e-005 1.00e+000 1.911533951e+002 1.911540531e+002 1.5e-010 1.73 75 2.3e-007 7.6e-003 1.5e-005 1.00e+000 1.911534422e+002 1.911540344e+002 1.3e-010 1.75 76 2.1e-007 7.5e-003 1.4e-005 1.00e+000 1.911534845e+002 1.911540175e+002 1.2e-010 1.76 77 1.9e-007 7.5e-003 1.2e-005 1.00e+000 1.911535226e+002 1.911540023e+002 1.1e-010 1.79 78 1.7e-007 7.5e-003 1.1e-005 1.00e+000 1.911535569e+002 1.911539886e+002 9.7e-011 1.83 79 1.5e-007 7.4e-003 1.0e-005 1.00e+000 1.911535878e+002 1.911539763e+002 8.7e-011 1.86 80 1.4e-007 7.4e-003 9.1e-006 1.00e+000 1.911536155e+002 1.911539653e+002 7.9e-011 1.89 81 1.2e-007 7.4e-003 8.2e-006 1.00e+000 1.911536405e+002 1.911539553e+002 7.1e-011 1.90 82 1.1e-007 7.4e-003 7.3e-006 1.00e+000 1.911536630e+002 1.911539463e+002 6.4e-011 1.93 83 9.9e-008 7.3e-003 6.6e-006 9.99e-001 1.911536833e+002 1.911539382e+002 5.7e-011 1.97 84 8.9e-008 7.3e-003 5.9e-006 1.00e+000 1.911537015e+002 1.911539310e+002 5.2e-011 1.98 85 8.0e-008 7.3e-003 5.4e-006 1.00e+000 1.911537179e+002 1.911539244e+002 4.6e-011 2.01 86 7.2e-008 7.3e-003 4.8e-006 1.00e+000 1.911537326e+002 1.911539185e+002 4.2e-011 2.03 87 6.5e-008 7.3e-003 4.3e-006 1.00e+000 1.911537459e+002 1.911539132e+002 3.8e-011 2.04 88 5.9e-008 7.2e-003 3.9e-006 1.00e+000 1.911537579e+002 1.911539084e+002 3.4e-011 2.07 89 5.3e-008 7.2e-003 3.5e-006 1.00e+000 1.911537686e+002 1.911539041e+002 3.0e-011 2.09 90 4.7e-008 7.2e-003 3.2e-006 1.00e+000 1.911537783e+002 1.911539002e+002 2.7e-011 2.11 91 4.3e-008 7.2e-003 2.8e-006 1.00e+000 1.911537870e+002 1.911538967e+002 2.5e-011 2.14 92 3.8e-008 7.2e-003 2.6e-006 1.00e+000 1.911537948e+002 1.911538936e+002 2.2e-011 2.15 93 8.7e-009 1.6e-003 5.8e-007 1.00e+000 1.911538492e+002 1.911538718e+002 5.1e-012 2.17 94 7.9e-009 1.5e-003 5.3e-007 9.92e-001 1.911538508e+002 1.911538711e+002 4.6e-012 2.20 95 1.7e-009 3.1e-004 1.1e-007 9.95e-001 1.911538622e+002 1.911538666e+002 9.7e-013 2.21 Interior-point optimizer terminated. Time: 2.21. Optimizer terminated. Time: 2.23 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.9115386224e+002 Viol. con: 3e-008 var: 0e+000 Dual. obj: 1.9115386655e+002 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 2.26 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 Lin. dep. - tries : 1 time : 0.02 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3474 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 : 0.03 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.289434117e+005 2.000000000e+000 1.0e+000 0.09 1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.268018009e+005 3.665190661e+000 4.8e-001 0.13 2 4.5e+002 5.9e+002 2.6e+004 -9.37e-001 -1.212085217e+005 9.661797459e+000 2.0e-001 0.16 3 2.9e+002 3.7e+002 1.6e+004 -8.49e-001 -1.160885063e+005 5.288436496e+001 1.3e-001 0.19 4 2.9e+002 3.7e+002 1.6e+004 -7.62e-001 -1.137706019e+005 2.033527154e+003 1.3e-001 0.22 5 8.5e+001 1.1e+002 4.8e+003 -7.56e-001 -7.957360782e+004 8.929556076e+003 3.8e-002 0.25 6 4.0e+001 5.2e+001 2.3e+003 -2.66e-001 -5.109414632e+004 1.015821365e+004 1.8e-002 0.28 7 2.5e+001 3.3e+001 1.4e+003 2.09e-001 -3.650292773e+004 7.555407145e+003 1.1e-002 0.31 8 1.1e+001 1.4e+001 6.3e+002 4.65e-001 -1.782128916e+004 4.614610288e+003 5.0e-003 0.33 9 6.7e+000 8.7e+000 3.8e+002 7.71e-001 -1.075002485e+004 3.363347918e+003 3.0e-003 0.36 10 2.8e+000 3.6e+000 1.6e+002 8.84e-001 -4.467375311e+003 1.618687802e+003 1.3e-003 0.39 11 1.1e+000 1.4e+000 6.1e+001 9.67e-001 -1.602715034e+003 7.536945976e+002 4.8e-004 0.42 12 8.6e-001 1.1e+000 4.9e+001 9.85e-001 -1.241858957e+003 6.542148547e+002 3.9e-004 0.45 13 6.8e-001 9.7e-001 3.9e+001 9.67e-001 -9.730707849e+002 5.562448370e+002 3.1e-004 0.47 14 3.0e-001 4.2e-001 1.7e+001 9.90e-001 -3.202338765e+002 3.485656494e+002 1.4e-004 0.50 15 1.7e-001 2.4e-001 9.6e+000 9.98e-001 -1.137754585e+002 2.616041179e+002 7.7e-005 0.53 16 7.0e-002 1.4e-001 4.1e+000 1.00e+000 3.988422488e+001 1.986844870e+002 3.3e-005 0.56 17 6.1e-002 1.2e-001 3.6e+000 1.01e+000 5.706867817e+001 1.968787286e+002 2.9e-005 0.59 18 2.3e-002 7.3e-002 1.4e+000 1.02e+000 1.275406957e+002 1.796488120e+002 1.1e-005 0.62 19 7.7e-003 8.9e-002 4.6e-001 1.01e+000 1.548550695e+002 1.724116778e+002 3.7e-006 0.66 20 3.5e-003 7.3e-002 2.1e-001 1.01e+000 1.614974324e+002 1.693991922e+002 1.7e-006 5.05 21 1.4e-003 8.4e-002 8.3e-002 1.01e+000 1.651651956e+002 1.683361826e+002 6.8e-007 6.21 22 7.5e-004 7.1e-002 4.6e-002 1.01e+000 1.662483782e+002 1.679906340e+002 3.7e-007 6.24 23 3.3e-004 7.6e-002 2.0e-002 1.01e+000 1.669548722e+002 1.677204322e+002 1.7e-007 6.27 24 1.4e-004 7.7e-002 8.9e-003 1.01e+000 1.672605861e+002 1.675970763e+002 7.3e-008 6.29 25 1.3e-004 7.1e-002 8.0e-003 1.01e+000 1.672892799e+002 1.675922962e+002 6.6e-008 6.32 26 1.2e-004 6.4e-002 7.2e-003 1.01e+000 1.673099011e+002 1.675825302e+002 6.0e-008 6.35 27 1.0e-004 5.9e-002 6.5e-003 1.01e+000 1.673290710e+002 1.675743861e+002 5.4e-008 6.37 28 9.4e-005 5.4e-002 5.9e-003 1.01e+000 1.673461895e+002 1.675669279e+002 4.8e-008 6.40 29 8.4e-005 4.9e-002 5.3e-003 1.01e+000 1.673615709e+002 1.675601994e+002 4.3e-008 6.43 30 7.6e-005 4.5e-002 4.7e-003 1.00e+000 1.673753764e+002 1.675541125e+002 3.9e-008 6.44 31 6.8e-005 4.1e-002 4.3e-003 1.00e+000 1.673877719e+002 1.675486104e+002 3.5e-008 6.47 32 6.1e-005 3.8e-002 3.8e-003 1.00e+000 1.673989019e+002 1.675436372e+002 3.2e-008 6.49 33 5.5e-005 3.5e-002 3.5e-003 1.00e+000 1.674088970e+002 1.675391430e+002 2.9e-008 6.52 34 5.0e-005 3.2e-002 3.1e-003 1.00e+000 1.674178737e+002 1.675350824e+002 2.6e-008 6.55 35 4.5e-005 3.0e-002 2.8e-003 1.00e+000 1.674259368e+002 1.675314142e+002 2.3e-008 6.57 36 4.0e-005 2.8e-002 2.5e-003 1.00e+000 1.674331799e+002 1.675281013e+002 2.1e-008 6.60 37 3.6e-005 2.6e-002 2.3e-003 1.00e+000 1.674396870e+002 1.675251095e+002 1.9e-008 6.63 38 3.3e-005 2.4e-002 2.0e-003 1.00e+000 1.674455336e+002 1.675224084e+002 1.7e-008 6.65 39 2.9e-005 2.2e-002 1.8e-003 1.00e+000 1.674507870e+002 1.675199700e+002 1.5e-008 8.55 40 2.6e-005 2.1e-002 1.7e-003 1.00e+000 1.674555078e+002 1.675177690e+002 1.4e-008 9.19 41 2.4e-005 2.0e-002 1.5e-003 1.00e+000 1.674597504e+002 1.675157826e+002 1.2e-008 9.22 42 2.1e-005 1.8e-002 1.3e-003 1.00e+000 1.674635634e+002 1.675139902e+002 1.1e-008 10.58 43 1.9e-005 1.7e-002 1.2e-003 1.00e+000 1.674669905e+002 1.675123729e+002 1.0e-008 10.61 44 1.7e-005 1.6e-002 1.1e-003 1.00e+000 1.674700710e+002 1.675109137e+002 9.0e-009 10.64 45 1.6e-005 1.6e-002 9.8e-004 1.00e+000 1.674728401e+002 1.675095973e+002 8.1e-009 10.67 46 1.4e-005 1.5e-002 8.8e-004 1.00e+000 1.674753293e+002 1.675084099e+002 7.3e-009 10.69 47 1.3e-005 1.4e-002 7.9e-004 1.00e+000 1.674775671e+002 1.675073389e+002 6.5e-009 10.72 48 1.1e-005 1.4e-002 7.1e-004 1.00e+000 1.674795790e+002 1.675063730e+002 5.9e-009 10.75 49 1.0e-005 1.3e-002 6.4e-004 1.00e+000 1.674813877e+002 1.675055019e+002 5.3e-009 10.76 50 9.2e-006 1.2e-002 5.8e-004 1.00e+000 1.674830138e+002 1.675047162e+002 4.8e-009 10.81 51 8.3e-006 1.2e-002 5.2e-004 1.00e+000 1.674844758e+002 1.675040077e+002 4.3e-009 10.83 52 7.5e-006 1.2e-002 4.7e-004 1.00e+000 1.674857902e+002 1.675033688e+002 3.9e-009 10.84 53 6.7e-006 1.1e-002 4.2e-004 1.00e+000 1.674869719e+002 1.675027924e+002 3.5e-009 10.86 54 6.0e-006 1.1e-002 3.8e-004 1.00e+000 1.674880343e+002 1.675022726e+002 3.1e-009 10.89 55 5.4e-006 1.1e-002 3.4e-004 1.00e+000 1.674889894e+002 1.675018038e+002 2.8e-009 10.90 56 4.9e-006 1.0e-002 3.1e-004 1.00e+000 1.674898481e+002 1.675013809e+002 2.5e-009 10.92 57 4.4e-006 1.0e-002 2.8e-004 1.00e+000 1.674906201e+002 1.675009996e+002 2.3e-009 10.94 58 4.0e-006 9.9e-003 2.5e-004 1.00e+000 1.674913143e+002 1.675006558e+002 2.1e-009 10.97 59 3.6e-006 9.7e-003 2.2e-004 1.00e+000 1.674919385e+002 1.675003458e+002 1.8e-009 10.98 60 3.2e-006 9.6e-003 2.0e-004 1.00e+000 1.674924999e+002 1.675000665e+002 1.7e-009 11.00 61 2.9e-006 9.4e-003 1.8e-004 1.00e+000 1.674930048e+002 1.674998147e+002 1.5e-009 11.01 62 2.6e-006 9.3e-003 1.6e-004 1.00e+000 1.674934590e+002 1.674995879e+002 1.3e-009 11.05 63 2.3e-006 9.1e-003 1.5e-004 1.00e+000 1.674938674e+002 1.674993835e+002 1.2e-009 11.06 64 2.1e-006 9.0e-003 1.3e-004 1.00e+000 1.674942348e+002 1.674991993e+002 1.1e-009 11.08 65 1.9e-006 8.9e-003 1.2e-004 1.00e+000 1.674945653e+002 1.674990332e+002 9.8e-010 11.09 66 1.7e-006 8.8e-003 1.1e-004 1.00e+000 1.674948625e+002 1.674988837e+002 8.8e-010 11.12 67 1.5e-006 8.7e-003 9.6e-005 1.00e+000 1.674951299e+002 1.674987490e+002 8.0e-010 11.14 68 1.4e-006 8.6e-003 8.7e-005 1.00e+000 1.674953704e+002 1.674986276e+002 7.2e-010 11.15 69 1.2e-006 8.6e-003 7.8e-005 1.00e+000 1.674955867e+002 1.674985183e+002 6.4e-010 11.17 70 1.1e-006 8.5e-003 7.0e-005 1.00e+000 1.674957813e+002 1.674984197e+002 5.8e-010 11.19 71 1.0e-006 8.4e-003 6.3e-005 1.00e+000 1.674959564e+002 1.674983308e+002 5.2e-010 11.22 72 9.1e-007 8.4e-003 5.7e-005 9.99e-001 1.674961138e+002 1.674982510e+002 4.7e-010 11.23 73 8.2e-007 8.3e-003 5.1e-005 1.00e+000 1.674962554e+002 1.674981788e+002 4.2e-010 11.25 74 7.3e-007 8.3e-003 4.6e-005 1.00e+000 1.674963828e+002 1.674981139e+002 3.8e-010 11.26 75 6.6e-007 8.2e-003 4.1e-005 1.00e+000 1.674964973e+002 1.674980554e+002 3.4e-010 11.29 76 6.0e-007 8.2e-003 3.7e-005 9.99e-001 1.674966003e+002 1.674980027e+002 3.1e-010 11.31 77 5.4e-007 8.1e-003 3.4e-005 9.99e-001 1.674966930e+002 1.674979552e+002 2.8e-010 11.33 78 4.8e-007 8.1e-003 3.0e-005 9.99e-001 1.674967764e+002 1.674979124e+002 2.5e-010 11.34 79 4.3e-007 8.1e-003 2.7e-005 1.00e+000 1.674968514e+002 1.674978738e+002 2.2e-010 11.36 80 3.9e-007 8.0e-003 2.4e-005 1.00e+000 1.674969189e+002 1.674978390e+002 2.0e-010 11.39 81 3.5e-007 8.0e-003 2.2e-005 1.00e+000 1.674969796e+002 1.674978077e+002 1.8e-010 11.40 82 3.2e-007 8.0e-003 2.0e-005 1.00e+000 1.674970342e+002 1.674977795e+002 1.6e-010 11.42 83 2.8e-007 7.9e-003 1.8e-005 9.97e-001 1.674970834e+002 1.674977542e+002 1.5e-010 11.44 84 2.6e-007 7.9e-003 1.6e-005 1.00e+000 1.674971276e+002 1.674977313e+002 1.3e-010 11.45 85 2.3e-007 7.9e-003 1.4e-005 1.00e+000 1.674971675e+002 1.674977106e+002 1.2e-010 11.47 86 2.1e-007 7.9e-003 1.3e-005 1.00e+000 1.674972034e+002 1.674976920e+002 1.1e-010 11.48 87 1.9e-007 7.9e-003 1.2e-005 9.99e-001 1.674972356e+002 1.674976754e+002 9.7e-011 11.51 88 1.7e-007 7.8e-003 1.1e-005 9.98e-001 1.674972646e+002 1.674976604e+002 8.7e-011 11.53 89 1.5e-007 7.8e-003 9.5e-006 1.00e+000 1.674972907e+002 1.674976469e+002 7.8e-011 11.54 90 1.4e-007 7.8e-003 8.5e-006 9.92e-001 1.674973141e+002 1.674976349e+002 7.1e-011 11.56 91 1.2e-007 7.8e-003 7.7e-006 9.94e-001 1.674973352e+002 1.674976240e+002 6.3e-011 11.57 92 1.1e-007 7.8e-003 6.9e-006 1.00e+000 1.674973542e+002 1.674976141e+002 5.7e-011 11.59 93 9.9e-008 7.7e-003 6.2e-006 1.00e+000 1.674973713e+002 1.674976052e+002 5.1e-011 11.61 94 8.9e-008 7.7e-003 5.6e-006 9.97e-001 1.674973867e+002 1.674975972e+002 4.6e-011 11.64 95 8.0e-008 6.9e-003 5.0e-006 1.00e+000 1.674974007e+002 1.674975899e+002 4.2e-011 11.65 96 7.2e-008 6.3e-003 4.5e-006 1.01e+000 1.674974136e+002 1.674975832e+002 3.8e-011 11.68 97 6.5e-008 5.6e-003 4.1e-006 9.92e-001 1.674974247e+002 1.674975774e+002 3.4e-011 11.70 98 5.9e-008 5.1e-003 3.7e-006 1.01e+000 1.674974352e+002 1.674975719e+002 3.1e-011 11.72 99 5.3e-008 4.6e-003 3.3e-006 1.01e+000 1.674974446e+002 1.674975670e+002 2.8e-011 11.73 100 4.8e-008 4.1e-003 3.0e-006 9.96e-001 1.674974526e+002 1.674975629e+002 2.5e-011 11.75 101 4.3e-008 3.7e-003 2.7e-006 9.63e-001 1.674974599e+002 1.674975592e+002 2.2e-011 11.76 102 3.8e-008 3.3e-003 2.4e-006 1.05e+000 1.674974678e+002 1.674975549e+002 2.1e-011 11.79 103 3.5e-008 3.0e-003 2.2e-006 9.74e-001 1.674974736e+002 1.674975520e+002 1.9e-011 11.81 104 3.1e-008 2.7e-003 2.0e-006 1.05e+000 1.674974799e+002 1.674975486e+002 1.7e-011 11.82 105 2.8e-008 2.4e-003 1.8e-006 9.65e-001 1.674974844e+002 1.674975463e+002 1.5e-011 11.84 106 2.5e-008 2.2e-003 1.6e-006 9.59e-001 1.674974884e+002 1.674975443e+002 1.4e-011 11.86 107 2.3e-008 2.0e-003 1.4e-006 9.83e-001 1.674974921e+002 1.674975424e+002 1.3e-011 11.87 108 2.0e-008 1.8e-003 1.3e-006 9.69e-001 1.674974954e+002 1.674975407e+002 1.1e-011 11.89 109 1.8e-008 1.6e-003 1.2e-006 1.03e+000 1.674974988e+002 1.674975389e+002 1.0e-011 11.92 110 1.7e-008 1.4e-003 1.0e-006 9.80e-001 1.674975014e+002 1.674975376e+002 9.3e-012 11.93 111 1.5e-008 1.3e-003 9.3e-007 1.06e+000 1.674975044e+002 1.674975359e+002 8.6e-012 11.95 112 1.3e-008 1.2e-003 8.4e-007 9.82e-001 1.674975065e+002 1.674975349e+002 7.7e-012 11.97 113 1.2e-008 1.0e-003 7.6e-007 1.14e+000 1.674975096e+002 1.674975331e+002 7.4e-012 11.98 114 1.1e-008 1.3e-004 9.6e-008 1.05e+000 1.674975231e+002 1.674975259e+002 8.1e-013 12.03 Interior-point optimizer terminated. Time: 12.03. Optimizer terminated. Time: 12.36 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6749752308e+002 Viol. con: 2e-007 var: 0e+000 Dual. obj: 1.6749752593e+002 Viol. con: 0e+000 var: 7e-004 * End solution on dual form. * Transforming to primal solution. Solving took 12.4 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 Lin. dep. - tries : 1 time : 0.02 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3474 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 : 0.03 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.290845750e+005 2.000000000e+000 1.0e+000 0.11 1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.269452017e+005 3.585522578e+000 4.8e-001 0.13 2 4.4e+002 5.6e+002 2.5e+004 -9.37e-001 -1.209690755e+005 9.844714293e+000 1.9e-001 0.16 3 2.9e+002 3.7e+002 1.6e+004 -8.43e-001 -1.161830130e+005 5.933322714e+001 1.3e-001 0.17 4 2.9e+002 3.7e+002 1.6e+004 -7.62e-001 -1.134440959e+005 2.386090235e+003 1.3e-001 0.19 5 8.0e+001 1.0e+002 4.4e+003 -7.55e-001 -7.649468336e+004 9.684632256e+003 3.5e-002 0.20 6 4.0e+001 5.1e+001 2.2e+003 -2.20e-001 -5.005531845e+004 1.024590006e+004 1.7e-002 0.23 7 2.4e+001 3.1e+001 1.3e+003 2.31e-001 -3.468088247e+004 7.160066612e+003 1.1e-002 0.25 8 1.5e+001 1.9e+001 8.5e+002 5.04e-001 -2.367501342e+004 5.150146579e+003 6.7e-003 0.27 9 6.9e+000 8.8e+000 3.8e+002 6.85e-001 -1.122791456e+004 2.907120901e+003 3.0e-003 0.28 10 3.5e+000 4.5e+000 1.9e+002 8.75e-001 -5.483677555e+003 1.878118799e+003 1.5e-003 0.31 11 2.3e+000 2.9e+000 1.3e+002 9.55e-001 -3.523097339e+003 1.322613540e+003 1.0e-003 0.33 12 9.2e-001 1.2e+000 5.2e+001 9.76e-001 -1.339159108e+003 6.435854917e+002 4.1e-004 0.34 13 8.0e-001 1.0e+000 4.5e+001 9.73e-001 -1.162215174e+003 5.797011468e+002 3.5e-004 0.36 14 7.5e-001 9.6e-001 4.2e+001 9.83e-001 -1.075089780e+003 5.654460317e+002 3.3e-004 0.39 15 2.7e-001 3.8e-001 1.5e+001 9.84e-001 -2.893950773e+002 3.114461503e+002 1.2e-004 0.41 16 1.5e-001 3.4e-001 8.4e+000 1.01e+000 -9.053206830e+001 2.378728979e+002 6.7e-005 0.42 17 8.6e-002 2.1e-001 4.9e+000 1.01e+000 1.193225877e+001 2.033128393e+002 3.9e-005 0.44 18 8.4e-002 2.1e-001 4.8e+000 1.02e+000 1.549097746e+001 2.029842004e+002 3.9e-005 0.45 19 6.9e-002 1.7e-001 4.0e+000 1.02e+000 4.619664428e+001 1.996620073e+002 3.2e-005 0.48 20 2.0e-002 9.3e-002 1.2e+000 1.01e+000 1.322711267e+002 1.768707490e+002 9.3e-006 0.50 21 6.7e-003 1.6e-001 3.9e-001 1.01e+000 1.556958711e+002 1.706998653e+002 3.1e-006 0.52 22 2.4e-003 1.6e-001 1.4e-001 1.00e+000 1.626414629e+002 1.681042310e+002 1.2e-006 0.53 23 1.5e-003 1.1e-001 9.1e-002 1.01e+000 1.641680770e+002 1.676399194e+002 7.3e-007 0.56 24 7.1e-004 8.1e-002 4.3e-002 1.00e+000 1.655544902e+002 1.671792692e+002 3.5e-007 0.58 25 2.8e-004 8.7e-002 1.7e-002 1.01e+000 1.662669870e+002 1.669164523e+002 1.4e-007 0.61 26 2.5e-004 8.0e-002 1.5e-002 1.01e+000 1.663176500e+002 1.669019727e+002 1.3e-007 0.62 27 2.3e-004 7.3e-002 1.4e-002 1.01e+000 1.663592795e+002 1.668850190e+002 1.1e-007 0.66 28 2.0e-004 6.6e-002 1.2e-002 1.01e+000 1.663970308e+002 1.668700754e+002 1.0e-007 0.67 29 1.8e-004 6.0e-002 1.1e-002 1.01e+000 1.664307977e+002 1.668564391e+002 9.2e-008 0.70 30 1.7e-004 5.5e-002 1.0e-002 1.01e+000 1.664610848e+002 1.668440809e+002 8.3e-008 0.72 31 1.5e-004 5.0e-002 9.1e-003 1.01e+000 1.664882428e+002 1.668328729e+002 7.5e-008 0.73 32 1.3e-004 4.6e-002 8.2e-003 1.01e+000 1.665126010e+002 1.668227140e+002 6.7e-008 0.77 33 1.2e-004 4.2e-002 7.4e-003 1.01e+000 1.665344513e+002 1.668135091e+002 6.0e-008 0.78 34 1.1e-004 3.9e-002 6.6e-003 1.00e+000 1.665540553e+002 1.668051717e+002 5.4e-008 0.80 35 9.8e-005 3.6e-002 6.0e-003 1.00e+000 1.665716466e+002 1.667976224e+002 4.9e-008 0.83 36 8.8e-005 3.3e-002 5.4e-003 1.00e+000 1.665874340e+002 1.667907889e+002 4.4e-008 0.84 37 7.9e-005 3.0e-002 4.8e-003 1.00e+000 1.666016045e+002 1.667846050e+002 4.0e-008 0.87 38 7.1e-005 2.8e-002 4.4e-003 1.00e+000 1.666143250e+002 1.667790104e+002 3.6e-008 0.89 39 6.4e-005 2.6e-002 3.9e-003 1.00e+000 1.666257453e+002 1.667739500e+002 3.2e-008 0.91 40 5.8e-005 2.4e-002 3.5e-003 1.00e+000 1.666359995e+002 1.667693740e+002 2.9e-008 0.92 41 5.2e-005 2.3e-002 3.2e-003 1.00e+000 1.666452074e+002 1.667652366e+002 2.6e-008 0.95 42 4.7e-005 2.1e-002 2.9e-003 1.00e+000 1.666534768e+002 1.667614969e+002 2.3e-008 0.97 43 4.2e-005 2.0e-002 2.6e-003 1.00e+000 1.666609039e+002 1.667581171e+002 2.1e-008 0.98 44 3.8e-005 1.8e-002 2.3e-003 1.00e+000 1.666675751e+002 1.667550631e+002 1.9e-008 1.01 45 3.4e-005 1.7e-002 2.1e-003 1.00e+000 1.666735680e+002 1.667523041e+002 1.7e-008 1.03 46 3.1e-005 1.6e-002 1.9e-003 1.00e+000 1.666789518e+002 1.667498120e+002 1.5e-008 1.04 47 2.8e-005 1.6e-002 1.7e-003 1.00e+000 1.666837889e+002 1.667475611e+002 1.4e-008 1.08 48 2.5e-005 1.5e-002 1.5e-003 1.00e+000 1.666881352e+002 1.667455287e+002 1.2e-008 1.09 49 2.2e-005 1.4e-002 1.4e-003 1.00e+000 1.666920407e+002 1.667436938e+002 1.1e-008 1.12 50 2.0e-005 1.3e-002 1.2e-003 1.00e+000 1.666955505e+002 1.667420373e+002 1.0e-008 1.14 51 1.8e-005 1.3e-002 1.1e-003 1.00e+000 1.666987048e+002 1.667405423e+002 9.1e-009 1.16 52 1.6e-005 1.2e-002 1.0e-003 1.00e+000 1.667015399e+002 1.667391931e+002 8.2e-009 1.19 53 1.5e-005 1.2e-002 9.0e-004 1.00e+000 1.667040882e+002 1.667379758e+002 7.4e-009 1.20 54 1.3e-005 1.2e-002 8.1e-004 1.00e+000 1.667063790e+002 1.667368775e+002 6.6e-009 1.22 55 1.2e-005 1.1e-002 7.3e-004 1.00e+000 1.667084383e+002 1.667358868e+002 6.0e-009 1.25 56 1.1e-005 1.1e-002 6.5e-004 1.00e+000 1.667102897e+002 1.667349932e+002 5.4e-009 1.26 57 9.6e-006 1.1e-002 5.9e-004 1.00e+000 1.667119543e+002 1.667341873e+002 4.8e-009 1.28 58 8.6e-006 1.0e-002 5.3e-004 1.00e+000 1.667134510e+002 1.667334607e+002 4.3e-009 1.31 59 7.8e-006 1.0e-002 4.8e-004 1.00e+000 1.667147969e+002 1.667328056e+002 3.9e-009 1.33 60 7.0e-006 9.9e-003 4.3e-004 1.00e+000 1.667160072e+002 1.667322149e+002 3.5e-009 1.34 61 6.3e-006 9.7e-003 3.9e-004 1.00e+000 1.667170955e+002 1.667316826e+002 3.2e-009 1.36 62 5.7e-006 9.5e-003 3.5e-004 1.00e+000 1.667180743e+002 1.667312028e+002 2.9e-009 1.39 63 5.1e-006 9.4e-003 3.1e-004 1.00e+000 1.667189546e+002 1.667307703e+002 2.6e-009 1.40 64 4.6e-006 9.2e-003 2.8e-004 1.00e+000 1.667197464e+002 1.667303805e+002 2.3e-009 1.42 65 4.1e-006 9.1e-003 2.5e-004 1.00e+000 1.667204585e+002 1.667300293e+002 2.1e-009 1.45 66 3.7e-006 8.9e-003 2.3e-004 1.00e+000 1.667210989e+002 1.667297127e+002 1.9e-009 1.47 67 3.4e-006 8.8e-003 2.1e-004 1.00e+000 1.667216750e+002 1.667294274e+002 1.7e-009 1.48 68 3.0e-006 8.7e-003 1.8e-004 1.00e+000 1.667221930e+002 1.667291702e+002 1.5e-009 1.51 69 2.7e-006 8.6e-003 1.7e-004 1.00e+000 1.667226590e+002 1.667289384e+002 1.4e-009 1.53 70 2.4e-006 8.5e-003 1.5e-004 1.00e+000 1.667230780e+002 1.667287296e+002 1.2e-009 1.54 71 2.2e-006 8.5e-003 1.3e-004 1.00e+000 1.667234550e+002 1.667285415e+002 1.1e-009 1.56 72 2.0e-006 8.4e-003 1.2e-004 1.00e+000 1.667237940e+002 1.667283720e+002 1.0e-009 1.59 73 1.8e-006 8.3e-003 1.1e-004 1.00e+000 1.667240991e+002 1.667282193e+002 9.0e-010 1.61 74 1.6e-006 8.3e-003 9.8e-005 1.00e+000 1.667243736e+002 1.667280817e+002 8.1e-010 1.62 75 1.4e-006 8.2e-003 8.8e-005 1.00e+000 1.667246205e+002 1.667279578e+002 7.3e-010 1.65 76 1.3e-006 8.2e-003 8.0e-005 1.00e+000 1.667248426e+002 1.667278463e+002 6.5e-010 1.67 77 1.2e-006 8.1e-003 7.2e-005 1.00e+000 1.667250425e+002 1.667277458e+002 5.9e-010 1.69 78 1.1e-006 8.1e-003 6.4e-005 1.00e+000 1.667252224e+002 1.667276553e+002 5.3e-010 1.70 79 9.5e-007 8.0e-003 5.8e-005 1.00e+000 1.667253842e+002 1.667275737e+002 4.8e-010 1.72 80 8.5e-007 8.0e-003 5.2e-005 1.00e+000 1.667255297e+002 1.667275003e+002 4.3e-010 1.75 81 7.7e-007 7.9e-003 4.7e-005 9.99e-001 1.667256607e+002 1.667274343e+002 3.9e-010 1.76 82 6.9e-007 7.9e-003 4.2e-005 1.00e+000 1.667257785e+002 1.667273748e+002 3.5e-010 1.78 83 6.2e-007 7.9e-003 3.8e-005 1.00e+000 1.667258845e+002 1.667273211e+002 3.1e-010 1.79 84 5.6e-007 7.9e-003 3.4e-005 9.99e-001 1.667259798e+002 1.667272728e+002 2.8e-010 1.81 85 5.0e-007 7.8e-003 3.1e-005 1.00e+000 1.667260656e+002 1.667272293e+002 2.5e-010 1.83 86 4.5e-007 7.8e-003 2.8e-005 1.00e+000 1.667261428e+002 1.667271900e+002 2.3e-010 1.86 87 4.1e-007 7.8e-003 2.5e-005 9.97e-001 1.667262121e+002 1.667271548e+002 2.1e-010 1.87 88 3.7e-007 7.8e-003 2.2e-005 1.00e+000 1.667262746e+002 1.667271229e+002 1.8e-010 1.89 89 3.3e-007 7.7e-003 2.0e-005 9.99e-001 1.667263307e+002 1.667270942e+002 1.7e-010 1.90 90 3.0e-007 7.7e-003 1.8e-005 9.96e-001 1.667263812e+002 1.667270685e+002 1.5e-010 1.92 91 2.7e-007 7.7e-003 1.6e-005 1.00e+000 1.667264266e+002 1.667270452e+002 1.3e-010 1.94 92 2.4e-007 7.7e-003 1.5e-005 9.99e-001 1.667264675e+002 1.667270242e+002 1.2e-010 2.36 93 2.2e-007 7.7e-003 1.3e-005 9.99e-001 1.667265042e+002 1.667270054e+002 1.1e-010 2.37 94 1.9e-007 7.6e-003 1.2e-005 9.97e-001 1.667265373e+002 1.667269884e+002 9.8e-011 2.40 95 1.8e-007 7.6e-003 1.1e-005 1.00e+000 1.667265671e+002 1.667269730e+002 8.8e-011 2.42 96 1.6e-007 7.6e-003 9.7e-006 9.94e-001 1.667265939e+002 1.667269593e+002 7.9e-011 2.45 97 1.4e-007 6.8e-003 8.7e-006 1.00e+000 1.667266180e+002 1.667269468e+002 7.2e-011 2.46 98 1.3e-007 6.2e-003 7.8e-006 1.00e+000 1.667266397e+002 1.667269357e+002 6.4e-011 2.50 99 1.2e-007 5.5e-003 7.1e-006 9.98e-001 1.667266592e+002 1.667269256e+002 5.8e-011 2.51 100 1.0e-007 5.0e-003 6.4e-006 1.01e+000 1.667266771e+002 1.667269163e+002 5.2e-011 2.54 101 9.3e-008 4.5e-003 5.7e-006 1.01e+000 1.667266934e+002 1.667269078e+002 4.7e-011 2.57 102 8.4e-008 4.0e-003 5.1e-006 1.00e+000 1.667267075e+002 1.667269005e+002 4.2e-011 2.59 103 7.5e-008 3.6e-003 4.6e-006 9.93e-001 1.667267202e+002 1.667268940e+002 3.8e-011 2.61 104 6.8e-008 3.3e-003 4.2e-006 9.95e-001 1.667267317e+002 1.667268881e+002 3.4e-011 2.64 105 6.1e-008 2.9e-003 3.8e-006 1.00e+000 1.667267421e+002 1.667268827e+002 3.1e-011 2.65 106 5.5e-008 2.7e-003 3.4e-006 1.01e+000 1.667267518e+002 1.667268776e+002 2.8e-011 2.68 107 5.0e-008 2.4e-003 3.0e-006 9.93e-001 1.667267601e+002 1.667268733e+002 2.5e-011 2.70 108 4.5e-008 2.1e-003 2.7e-006 9.95e-001 1.667267676e+002 1.667268695e+002 2.3e-011 2.73 109 4.0e-008 1.9e-003 2.5e-006 1.01e+000 1.667267746e+002 1.667268658e+002 2.1e-011 2.75 110 3.6e-008 1.7e-003 2.2e-006 9.91e-001 1.667267806e+002 1.667268627e+002 1.8e-011 2.78 111 3.3e-008 1.6e-003 2.0e-006 9.78e-001 1.667267860e+002 1.667268600e+002 1.7e-011 2.79 112 2.9e-008 1.4e-003 1.8e-006 1.04e+000 1.667267918e+002 1.667268568e+002 1.5e-011 2.82 113 2.6e-008 1.3e-003 1.6e-006 9.48e-001 1.667267961e+002 1.667268547e+002 1.4e-011 3.06 114 2.4e-008 1.1e-003 1.5e-006 1.02e+000 1.667268002e+002 1.667268526e+002 1.2e-011 3.07 115 2.1e-008 1.0e-003 1.3e-006 9.86e-001 1.667268036e+002 1.667268508e+002 1.1e-011 3.11 116 1.9e-008 9.2e-004 1.2e-006 9.75e-001 1.667268067e+002 1.667268492e+002 1.0e-011 3.12 117 1.7e-008 8.3e-004 1.1e-006 1.04e+000 1.667268101e+002 1.667268474e+002 9.3e-012 3.15 118 1.6e-008 7.5e-004 9.5e-007 9.58e-001 1.667268125e+002 1.667268462e+002 8.4e-012 3.18 119 1.4e-008 6.7e-004 8.6e-007 9.65e-001 1.667268147e+002 1.667268451e+002 7.5e-012 3.20 120 1.3e-008 6.1e-004 7.7e-007 1.04e+000 1.667268170e+002 1.667268438e+002 6.9e-012 3.21 121 1.1e-008 5.5e-004 7.0e-007 1.24e+000 1.667268188e+002 1.667268428e+002 6.2e-012 3.25 122 1.0e-008 4.9e-004 6.3e-007 1.03e+000 1.667268206e+002 1.667268418e+002 5.6e-012 3.28 123 9.3e-009 4.4e-004 5.6e-007 1.00e+000 1.667268220e+002 1.667268411e+002 5.1e-012 3.29 124 8.4e-009 4.0e-004 5.1e-007 1.28e+000 1.667268233e+002 1.667268403e+002 4.6e-012 3.32 125 7.8e-009 3.6e-004 4.6e-007 1.32e+000 1.667268245e+002 1.667268396e+002 4.1e-012 3.35 126 7.2e-009 3.2e-004 4.1e-007 9.25e-001 1.667268255e+002 1.667268391e+002 3.7e-012 3.37 127 6.4e-009 2.9e-004 3.7e-007 8.83e-001 1.667268264e+002 1.667268387e+002 3.3e-012 3.40 128 3.3e-009 3.0e-005 3.8e-008 9.49e-001 1.667268339e+002 1.667268352e+002 4.1e-013 3.42 Interior-point optimizer terminated. Time: 3.42. Optimizer terminated. Time: 3.43 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6672683393e+002 Viol. con: 7e-008 var: 0e+000 Dual. obj: 1.6672683522e+002 Viol. con: 0e+000 var: 2e-004 * End solution on dual form. * Transforming to primal solution. Solving took 3.47 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3474 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.23 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.13 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.288196248e+005 2.000000000e+000 1.0e+000 0.27 1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.266731505e+005 3.581276629e+000 4.8e-001 3.65 2 4.4e+002 5.5e+002 2.4e+004 -9.37e-001 -1.205849500e+005 9.985305574e+000 1.9e-001 3.68 3 2.9e+002 3.7e+002 1.6e+004 -8.41e-001 -1.158786082e+005 6.175712361e+001 1.3e-001 3.71 4 2.9e+002 3.7e+002 1.6e+004 -7.61e-001 -1.131726436e+005 2.355678286e+003 1.3e-001 3.76 5 7.4e+001 9.4e+001 4.1e+003 -7.54e-001 -7.381839623e+004 1.005826356e+004 3.2e-002 3.79 6 3.5e+001 4.5e+001 1.9e+003 -1.80e-001 -4.553996598e+004 1.041857720e+004 1.5e-002 3.81 7 2.1e+001 2.6e+001 1.1e+003 3.07e-001 -3.038977838e+004 7.014417579e+003 9.1e-003 3.84 8 1.3e+001 1.6e+001 7.1e+002 5.77e-001 -2.005165297e+004 4.698304957e+003 5.6e-003 3.87 9 5.0e+000 6.3e+000 2.8e+002 7.44e-001 -8.092054029e+003 2.296896993e+003 2.2e-003 3.92 10 2.3e+000 3.0e+000 1.3e+002 9.22e-001 -3.587974965e+003 1.397128380e+003 1.0e-003 3.95 11 1.6e+000 2.1e+000 9.1e+001 9.77e-001 -2.478605073e+003 1.026206461e+003 7.2e-004 4.54 12 8.4e-001 1.1e+000 4.7e+001 9.85e-001 -1.191330842e+003 6.123926554e+002 3.7e-004 4.57 13 7.5e-001 1.0e+000 4.2e+001 9.54e-001 -1.084201838e+003 5.652262704e+002 3.4e-004 4.60 14 6.1e-001 8.4e-001 3.4e+001 9.88e-001 -8.302886142e+002 5.042853785e+002 2.7e-004 4.67 15 1.6e-001 2.7e-001 9.4e+000 9.90e-001 -1.259958050e+002 2.431117435e+002 7.6e-005 4.70 16 9.6e-002 1.7e-001 5.5e+000 1.01e+000 -9.232264788e+000 2.063323830e+002 4.5e-005 4.73 17 9.6e-002 1.7e-001 5.5e+000 1.02e+000 -7.686052228e+000 2.065724658e+002 4.4e-005 4.79 18 8.7e-002 1.5e-001 5.0e+000 1.02e+000 1.304652410e+001 2.078061757e+002 4.1e-005 4.82 19 5.3e-002 9.8e-002 3.0e+000 1.02e+000 7.408257033e+001 1.913405794e+002 2.5e-005 4.85 20 2.0e-002 8.9e-002 1.1e+000 1.02e+000 1.330991759e+002 1.764615900e+002 9.1e-006 5.97 21 5.2e-003 2.4e-001 3.1e-001 1.01e+000 1.581468488e+002 1.697975679e+002 2.4e-006 6.15 22 3.4e-003 2.2e-001 2.0e-001 1.00e+000 1.609298000e+002 1.686498877e+002 1.6e-006 6.16 23 1.3e-003 1.2e-001 7.9e-002 1.00e+000 1.644273059e+002 1.674255459e+002 6.4e-007 6.18 24 7.3e-004 8.1e-002 4.4e-002 1.01e+000 1.653772883e+002 1.670647536e+002 3.6e-007 6.21 25 2.9e-004 8.2e-002 1.8e-002 1.01e+000 1.660981968e+002 1.667858152e+002 1.5e-007 6.22 26 2.7e-004 7.6e-002 1.6e-002 1.01e+000 1.661522246e+002 1.667711430e+002 1.3e-007 6.24 27 2.4e-004 6.9e-002 1.5e-002 1.01e+000 1.661959643e+002 1.667527697e+002 1.2e-007 6.26 28 2.1e-004 6.3e-002 1.3e-002 1.01e+000 1.662359284e+002 1.667368896e+002 1.1e-007 6.29 29 1.9e-004 5.7e-002 1.2e-002 1.01e+000 1.662716443e+002 1.667223721e+002 9.7e-008 6.30 30 1.7e-004 5.2e-002 1.1e-002 1.01e+000 1.663036957e+002 1.667092390e+002 8.8e-008 6.32 31 1.6e-004 4.8e-002 9.6e-003 1.01e+000 1.663324419e+002 1.666973398e+002 7.9e-008 6.35 32 1.4e-004 4.4e-002 8.7e-003 1.01e+000 1.663582290e+002 1.666865631e+002 7.1e-008 6.37 33 1.3e-004 4.0e-002 7.8e-003 1.01e+000 1.663813624e+002 1.666768031e+002 6.4e-008 6.38 34 1.1e-004 3.7e-002 7.0e-003 1.01e+000 1.664021170e+002 1.666679651e+002 5.8e-008 6.40 35 1.0e-004 3.4e-002 6.3e-003 1.01e+000 1.664207392e+002 1.666599634e+002 5.2e-008 6.43 36 9.2e-005 3.2e-002 5.7e-003 1.01e+000 1.664374498e+002 1.666527202e+002 4.7e-008 6.44 37 8.3e-005 2.9e-002 5.1e-003 1.00e+000 1.664524466e+002 1.666461648e+002 4.2e-008 6.46 38 7.5e-005 2.7e-002 4.6e-003 1.00e+000 1.664659068e+002 1.666402330e+002 3.8e-008 6.49 39 6.7e-005 2.5e-002 4.2e-003 1.00e+000 1.664779892e+002 1.666348667e+002 3.4e-008 6.51 40 6.1e-005 2.4e-002 3.7e-003 1.00e+000 1.664888357e+002 1.666300128e+002 3.1e-008 6.52 41 5.5e-005 2.2e-002 3.4e-003 1.00e+000 1.664985738e+002 1.666256231e+002 2.8e-008 6.55 42 4.9e-005 2.1e-002 3.0e-003 1.00e+000 1.665073175e+002 1.666216540e+002 2.5e-008 6.57 43 4.4e-005 1.9e-002 2.7e-003 1.00e+000 1.665151692e+002 1.666180658e+002 2.2e-008 6.58 44 4.0e-005 1.8e-002 2.5e-003 1.00e+000 1.665222204e+002 1.666148225e+002 2.0e-008 6.60 45 3.6e-005 1.7e-002 2.2e-003 1.00e+000 1.665285534e+002 1.666118916e+002 1.8e-008 6.63 46 3.2e-005 1.6e-002 2.0e-003 1.00e+000 1.665342418e+002 1.666092433e+002 1.6e-008 6.65 47 2.9e-005 1.5e-002 1.8e-003 1.00e+000 1.665393517e+002 1.666068508e+002 1.5e-008 6.66 48 2.6e-005 1.5e-002 1.6e-003 1.00e+000 1.665439423e+002 1.666046899e+002 1.3e-008 6.69 49 2.4e-005 1.4e-002 1.5e-003 1.00e+000 1.665480668e+002 1.666027385e+002 1.2e-008 6.71 50 2.1e-005 1.3e-002 1.3e-003 1.00e+000 1.665517729e+002 1.666009764e+002 1.1e-008 6.72 51 1.9e-005 1.3e-002 1.2e-003 1.00e+000 1.665551032e+002 1.665993858e+002 9.6e-009 6.74 52 1.7e-005 1.2e-002 1.1e-003 1.00e+000 1.665580963e+002 1.665979502e+002 8.7e-009 6.75 53 1.5e-005 1.2e-002 9.5e-004 1.00e+000 1.665607865e+002 1.665966547e+002 7.8e-009 6.77 54 1.4e-005 1.2e-002 8.6e-004 1.00e+000 1.665632047e+002 1.665954859e+002 7.0e-009 6.80 55 1.2e-005 1.1e-002 7.7e-004 1.00e+000 1.665653786e+002 1.665944316e+002 6.3e-009 6.82 56 1.1e-005 1.1e-002 6.9e-004 1.00e+000 1.665673331e+002 1.665934808e+002 5.7e-009 6.85 57 1.0e-005 1.1e-002 6.2e-004 1.00e+000 1.665690905e+002 1.665926235e+002 5.1e-009 6.87 58 9.1e-006 1.0e-002 5.6e-004 1.00e+000 1.665706708e+002 1.665918506e+002 4.6e-009 6.88 59 8.2e-006 1.0e-002 5.1e-004 1.00e+000 1.665720920e+002 1.665911539e+002 4.1e-009 6.90 60 7.4e-006 1.0e-002 4.6e-004 1.00e+000 1.665733702e+002 1.665905260e+002 3.7e-009 6.91 61 6.6e-006 9.8e-003 4.1e-004 1.00e+000 1.665745198e+002 1.665899601e+002 3.4e-009 6.93 62 6.0e-006 9.6e-003 3.7e-004 1.00e+000 1.665755538e+002 1.665894501e+002 3.0e-009 6.96 63 5.4e-006 9.5e-003 3.3e-004 1.00e+000 1.665764839e+002 1.665889907e+002 2.7e-009 6.97 64 4.8e-006 9.3e-003 3.0e-004 1.00e+000 1.665773205e+002 1.665885767e+002 2.5e-009 6.99 65 4.4e-006 9.2e-003 2.7e-004 1.00e+000 1.665780730e+002 1.665882037e+002 2.2e-009 7.00 66 3.9e-006 9.1e-003 2.4e-004 1.00e+000 1.665787499e+002 1.665878676e+002 2.0e-009 7.02 67 3.5e-006 9.0e-003 2.2e-004 1.00e+000 1.665793587e+002 1.665875647e+002 1.8e-009 7.04 68 3.2e-006 8.9e-003 2.0e-004 1.00e+000 1.665799063e+002 1.665872917e+002 1.6e-009 7.07 69 2.9e-006 8.8e-003 1.8e-004 1.00e+000 1.665803988e+002 1.665870458e+002 1.4e-009 7.08 70 2.6e-006 8.7e-003 1.6e-004 1.00e+000 1.665808418e+002 1.665868241e+002 1.3e-009 7.10 71 2.3e-006 8.7e-003 1.4e-004 1.00e+000 1.665812402e+002 1.665866244e+002 1.2e-009 7.11 72 2.1e-006 8.6e-003 1.3e-004 1.00e+000 1.665815987e+002 1.665864444e+002 1.1e-009 7.13 73 1.9e-006 8.5e-003 1.2e-004 1.00e+000 1.665819212e+002 1.665862824e+002 9.5e-010 7.14 74 1.7e-006 8.5e-003 1.0e-004 1.00e+000 1.665822113e+002 1.665861364e+002 8.6e-010 7.16 75 1.5e-006 8.4e-003 9.4e-005 1.00e+000 1.665824723e+002 1.665860049e+002 7.7e-010 7.19 76 1.4e-006 8.4e-003 8.4e-005 1.00e+000 1.665827071e+002 1.665858865e+002 6.9e-010 7.21 77 1.2e-006 8.3e-003 7.6e-005 1.00e+000 1.665829183e+002 1.665857798e+002 6.2e-010 7.22 78 1.1e-006 8.3e-003 6.8e-005 1.00e+000 1.665831083e+002 1.665856837e+002 5.6e-010 7.24 79 1.0e-006 8.2e-003 6.2e-005 9.99e-001 1.665832792e+002 1.665855972e+002 5.1e-010 7.25 80 9.0e-007 8.2e-003 5.5e-005 1.00e+000 1.665834330e+002 1.665855192e+002 4.5e-010 7.27 81 8.1e-007 8.2e-003 5.0e-005 9.99e-001 1.665835714e+002 1.665854490e+002 4.1e-010 7.29 82 7.3e-007 8.2e-003 4.5e-005 1.00e+000 1.665836958e+002 1.665853857e+002 3.7e-010 7.32 83 6.5e-007 8.1e-003 4.0e-005 1.00e+000 1.665838077e+002 1.665853287e+002 3.3e-010 7.33 84 5.9e-007 8.1e-003 3.6e-005 1.00e+000 1.665839084e+002 1.665852773e+002 3.0e-010 7.35 85 5.3e-007 8.1e-003 3.3e-005 1.00e+000 1.665839989e+002 1.665852308e+002 2.7e-010 7.36 86 4.8e-007 8.1e-003 2.9e-005 9.98e-001 1.665840803e+002 1.665851891e+002 2.4e-010 7.38 87 4.3e-007 8.0e-003 2.6e-005 9.98e-001 1.665841535e+002 1.665851516e+002 2.2e-010 7.39 88 3.9e-007 8.0e-003 2.4e-005 1.00e+000 1.665842194e+002 1.665851176e+002 2.0e-010 7.43 89 3.5e-007 8.0e-003 2.1e-005 1.00e+000 1.665842786e+002 1.665850869e+002 1.8e-010 7.44 90 3.1e-007 8.0e-003 1.9e-005 9.99e-001 1.665843318e+002 1.665850594e+002 1.6e-010 7.46 91 2.8e-007 8.0e-003 1.7e-005 9.97e-001 1.665843797e+002 1.665850346e+002 1.4e-010 7.47 92 2.5e-007 7.9e-003 1.6e-005 1.00e+000 1.665844228e+002 1.665850121e+002 1.3e-010 7.49 93 2.3e-007 7.9e-003 1.4e-005 1.00e+000 1.665844615e+002 1.665849920e+002 1.2e-010 7.52 94 2.1e-007 7.9e-003 1.3e-005 1.00e+000 1.665844964e+002 1.665849737e+002 1.0e-010 7.54 95 1.8e-007 7.9e-003 1.1e-005 9.98e-001 1.665845277e+002 1.665849574e+002 9.4e-011 7.55 96 1.7e-007 7.9e-003 1.0e-005 9.95e-001 1.665845559e+002 1.665849427e+002 8.4e-011 7.57 97 1.5e-007 7.9e-003 9.2e-006 9.95e-001 1.665845813e+002 1.665849295e+002 7.6e-011 7.58 98 1.3e-007 7.8e-003 8.3e-006 9.86e-001 1.665846041e+002 1.665849176e+002 6.8e-011 7.60 99 1.2e-007 7.0e-003 7.5e-006 1.01e+000 1.665846247e+002 1.665849067e+002 6.1e-011 7.61 100 1.1e-007 6.3e-003 6.7e-006 1.01e+000 1.665846438e+002 1.665848965e+002 5.6e-011 7.64 101 9.8e-008 5.7e-003 6.1e-006 1.02e+000 1.665846614e+002 1.665848871e+002 5.0e-011 7.66 102 8.8e-008 5.1e-003 5.5e-006 1.04e+000 1.665846785e+002 1.665848779e+002 4.6e-011 7.68 103 8.0e-008 4.6e-003 4.9e-006 1.00e+000 1.665846916e+002 1.665848710e+002 4.1e-011 7.69 104 7.2e-008 4.2e-003 4.4e-006 9.68e-001 1.665847033e+002 1.665848650e+002 3.7e-011 7.71 105 6.4e-008 3.7e-003 4.0e-006 9.88e-001 1.665847139e+002 1.665848595e+002 3.4e-011 7.72 106 5.8e-008 3.4e-003 3.6e-006 9.53e-001 1.665847233e+002 1.665848547e+002 3.0e-011 7.74 107 5.2e-008 3.0e-003 3.2e-006 9.62e-001 1.665847319e+002 1.665848503e+002 2.7e-011 7.77 108 4.7e-008 2.7e-003 2.9e-006 9.83e-001 1.665847396e+002 1.665848463e+002 2.4e-011 7.79 109 4.2e-008 2.5e-003 2.6e-006 1.01e+000 1.665847468e+002 1.665848424e+002 2.2e-011 7.80 110 3.8e-008 2.2e-003 2.3e-006 1.01e+000 1.665847532e+002 1.665848390e+002 2.0e-011 7.82 111 3.4e-008 2.0e-003 2.1e-006 1.11e+000 1.665847617e+002 1.665848340e+002 1.9e-011 7.83 112 3.1e-008 1.8e-003 1.9e-006 1.04e+000 1.665847672e+002 1.665848310e+002 1.7e-011 7.85 113 2.8e-008 1.6e-003 1.7e-006 1.10e+000 1.665847733e+002 1.665848275e+002 1.6e-011 7.88 114 2.5e-008 1.4e-003 1.5e-006 8.81e-001 1.665847769e+002 1.665848258e+002 1.5e-011 7.89 115 2.3e-008 1.3e-003 1.4e-006 7.78e-001 1.665847800e+002 1.665848245e+002 1.3e-011 7.91 116 2.0e-008 1.2e-003 1.2e-006 8.90e-001 1.665847829e+002 1.665848231e+002 1.2e-011 7.94 117 1.8e-008 1.1e-003 1.1e-006 9.57e-001 1.665847855e+002 1.665848218e+002 1.1e-011 7.96 118 1.8e-008 9.5e-004 1.0e-006 1.21e+000 1.665847902e+002 1.665848188e+002 1.1e-011 7.97 119 1.6e-008 8.6e-004 9.1e-007 8.35e-001 1.665847920e+002 1.665848180e+002 9.7e-012 7.99 120 1.5e-008 7.7e-004 8.2e-007 1.20e+000 1.665847953e+002 1.665848160e+002 9.7e-012 8.00 121 1.3e-008 6.9e-004 7.4e-007 9.79e-001 1.665847967e+002 1.665848153e+002 8.7e-012 8.02 122 1.2e-008 6.2e-004 6.6e-007 1.07e+000 1.665847983e+002 1.665848145e+002 8.1e-012 8.05 123 1.1e-008 5.6e-004 6.0e-007 9.51e-001 1.665847994e+002 1.665848139e+002 7.3e-012 8.07 124 1.0e-008 5.0e-004 5.4e-007 1.25e+000 1.665848004e+002 1.665848134e+002 6.5e-012 8.08 125 9.0e-009 4.5e-004 4.8e-007 1.18e+000 1.665848020e+002 1.665848125e+002 6.4e-012 8.10 126 8.6e-009 4.1e-004 4.4e-007 8.84e-001 1.665848027e+002 1.665848122e+002 5.8e-012 8.11 127 8.7e-009 3.7e-004 3.9e-007 1.37e+000 1.665848034e+002 1.665848118e+002 5.2e-012 8.14 128 1.9e-008 6.5e-006 7.0e-009 6.81e-001 1.665848095e+002 1.665848097e+002 7.6e-013 8.16 Interior-point optimizer terminated. Time: 8.16. Optimizer terminated. Time: 8.36 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6658480954e+002 Viol. con: 3e-007 var: 0e+000 Dual. obj: 1.6658480972e+002 Viol. con: 0e+000 var: 3e-005 * End solution on dual form. * Transforming to primal solution. Solving took 8.4 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3474 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.13 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.287834807e+005 2.000000000e+000 1.0e+000 0.14 1 1.1e+003 1.4e+003 6.2e+004 -9.71e-001 -1.266310130e+005 3.578403797e+000 4.8e-001 0.16 2 4.3e+002 5.5e+002 2.4e+004 -9.37e-001 -1.204892627e+005 1.005344712e+001 1.9e-001 0.17 3 2.9e+002 3.7e+002 1.6e+004 -8.41e-001 -1.158061008e+005 6.277909345e+001 1.3e-001 0.19 4 2.9e+002 3.7e+002 1.6e+004 -7.61e-001 -1.131293486e+005 2.331385066e+003 1.3e-001 0.22 5 7.8e+001 9.8e+001 4.3e+003 -7.54e-001 -7.561198503e+004 9.691647559e+003 3.4e-002 0.25 6 3.3e+001 4.1e+001 1.8e+003 -2.08e-001 -4.263763771e+004 1.054234912e+004 1.4e-002 0.27 7 1.9e+001 2.4e+001 1.1e+003 3.57e-001 -2.826130693e+004 6.976543913e+003 8.4e-003 0.30 8 1.2e+001 1.5e+001 6.4e+002 6.13e-001 -1.814532354e+004 4.469246511e+003 5.0e-003 0.31 9 4.4e+000 5.5e+000 2.4e+002 7.75e-001 -7.052302167e+003 2.078753349e+003 1.9e-003 0.34 10 2.0e+000 2.5e+000 1.1e+002 9.35e-001 -2.989364019e+003 1.285574995e+003 8.8e-004 0.36 11 1.2e+000 1.5e+000 6.4e+001 9.85e-001 -1.684561543e+003 8.038891117e+002 5.1e-004 0.37 12 6.7e-001 8.4e-001 3.7e+001 9.83e-001 -9.364118729e+002 5.309134176e+002 3.0e-004 0.41 13 5.7e-001 7.3e-001 3.2e+001 9.83e-001 -7.639686990e+002 4.901227110e+002 2.6e-004 0.42 14 1.9e-001 3.1e-001 1.1e+001 9.85e-001 -1.615279421e+002 2.559938102e+002 8.6e-005 0.44 15 9.1e-002 7.0e-001 5.2e+000 1.01e+000 6.678038586e-001 2.042903892e+002 4.2e-005 0.47 16 9.0e-002 7.0e-001 5.2e+000 1.03e+000 2.427881264e+000 2.046846976e+002 4.2e-005 0.48 17 8.4e-002 6.4e-001 4.8e+000 1.02e+000 1.867538988e+001 2.053275577e+002 3.9e-005 0.50 18 5.7e-002 4.4e-001 3.3e+000 1.02e+000 6.681969327e+001 1.929582882e+002 2.7e-005 0.53 19 2.5e-002 2.1e-001 1.5e+000 1.02e+000 1.232006554e+002 1.790473256e+002 1.2e-005 0.55 20 7.1e-003 2.0e-001 4.2e-001 1.01e+000 1.550739391e+002 1.708515047e+002 3.3e-006 0.56 21 2.6e-003 2.3e-001 1.5e-001 1.01e+000 1.621370999e+002 1.679259187e+002 1.2e-006 0.59 22 1.2e-003 1.3e-001 7.4e-002 1.00e+000 1.644635771e+002 1.672623297e+002 6.1e-007 0.61 23 4.0e-004 1.1e-001 2.5e-002 1.01e+000 1.658441219e+002 1.667786669e+002 2.1e-007 0.62 24 1.8e-004 9.2e-002 1.1e-002 1.01e+000 1.662144088e+002 1.666379803e+002 9.4e-008 0.66 25 1.6e-004 8.4e-002 1.0e-002 1.01e+000 1.662474667e+002 1.666285408e+002 8.5e-008 0.67 26 1.5e-004 7.7e-002 9.1e-003 1.01e+000 1.662745954e+002 1.666174203e+002 7.6e-008 0.70 27 1.3e-004 7.0e-002 8.2e-003 1.01e+000 1.662991104e+002 1.666075556e+002 6.9e-008 0.72 28 1.2e-004 6.4e-002 7.4e-003 1.01e+000 1.663210590e+002 1.665985785e+002 6.2e-008 0.73 29 1.1e-004 5.8e-002 6.7e-003 1.01e+000 1.663407564e+002 1.665904573e+002 5.6e-008 0.76 30 9.5e-005 5.3e-002 6.0e-003 1.01e+000 1.663584271e+002 1.665831032e+002 5.0e-008 0.78 31 8.6e-005 4.8e-002 5.4e-003 1.01e+000 1.663742820e+002 1.665764457e+002 4.5e-008 0.80 32 7.7e-005 4.4e-002 4.9e-003 1.01e+000 1.663885087e+002 1.665704193e+002 4.1e-008 0.83 33 7.0e-005 4.1e-002 4.4e-003 1.01e+000 1.664012756e+002 1.665649654e+002 3.7e-008 0.86 34 6.3e-005 3.7e-002 3.9e-003 1.01e+000 1.664127338e+002 1.665600303e+002 3.3e-008 0.87 35 5.6e-005 3.4e-002 3.5e-003 1.00e+000 1.664230184e+002 1.665555657e+002 3.0e-008 0.90 36 5.1e-005 3.2e-002 3.2e-003 1.00e+000 1.664322508e+002 1.665515275e+002 2.7e-008 0.92 37 4.6e-005 2.9e-002 2.9e-003 1.00e+000 1.664405393e+002 1.665478757e+002 2.4e-008 0.94 38 4.1e-005 2.7e-002 2.6e-003 1.00e+000 1.664479814e+002 1.665445738e+002 2.2e-008 0.95 39 3.7e-005 2.5e-002 2.3e-003 1.00e+000 1.664546641e+002 1.665415891e+002 1.9e-008 0.98 40 3.3e-005 2.4e-002 2.1e-003 1.00e+000 1.664606655e+002 1.665388914e+002 1.8e-008 1.00 41 3.0e-005 2.2e-002 1.9e-003 1.00e+000 1.664660556e+002 1.665364538e+002 1.6e-008 1.03 42 2.7e-005 2.1e-002 1.7e-003 1.00e+000 1.664708971e+002 1.665342514e+002 1.4e-008 1.04 43 2.4e-005 1.9e-002 1.5e-003 1.00e+000 1.664752464e+002 1.665322620e+002 1.3e-008 1.06 44 2.2e-005 1.8e-002 1.4e-003 1.00e+000 1.664791539e+002 1.665304654e+002 1.2e-008 1.09 45 2.0e-005 1.7e-002 1.2e-003 1.00e+000 1.664826648e+002 1.665288432e+002 1.0e-008 1.11 46 1.8e-005 1.6e-002 1.1e-003 1.00e+000 1.664858197e+002 1.665273788e+002 9.3e-009 1.12 47 1.6e-005 1.5e-002 1.0e-003 1.00e+000 1.664886551e+002 1.665260570e+002 8.4e-009 1.15 48 1.4e-005 1.5e-002 9.0e-004 1.00e+000 1.664912036e+002 1.665248644e+002 7.6e-009 1.17 49 1.3e-005 1.4e-002 8.1e-004 1.00e+000 1.664934944e+002 1.665237885e+002 6.8e-009 1.19 50 1.2e-005 1.3e-002 7.3e-004 1.00e+000 1.664955539e+002 1.665228181e+002 6.1e-009 1.22 51 1.0e-005 1.3e-002 6.6e-004 1.00e+000 1.664974056e+002 1.665219431e+002 5.5e-009 1.23 52 9.4e-006 1.2e-002 5.9e-004 1.00e+000 1.664990706e+002 1.665211541e+002 5.0e-009 1.25 53 8.5e-006 1.2e-002 5.3e-004 1.00e+000 1.665005678e+002 1.665204429e+002 4.5e-009 1.28 54 7.6e-006 1.2e-002 4.8e-004 1.00e+000 1.665019144e+002 1.665198018e+002 4.0e-009 1.29 55 6.9e-006 1.1e-002 4.3e-004 1.00e+000 1.665031255e+002 1.665192241e+002 3.6e-009 1.33 56 6.2e-006 1.1e-002 3.9e-004 1.00e+000 1.665042148e+002 1.665187034e+002 3.3e-009 1.34 57 5.6e-006 1.1e-002 3.5e-004 1.00e+000 1.665051945e+002 1.665182343e+002 2.9e-009 1.36 58 5.0e-006 1.0e-002 3.1e-004 1.00e+000 1.665060758e+002 1.665178117e+002 2.6e-009 1.39 59 4.5e-006 1.0e-002 2.8e-004 1.00e+000 1.665068685e+002 1.665174308e+002 2.4e-009 1.40 60 4.0e-006 9.9e-003 2.5e-004 1.00e+000 1.665075816e+002 1.665170877e+002 2.1e-009 1.42 61 3.6e-006 9.7e-003 2.3e-004 1.00e+000 1.665082229e+002 1.665167785e+002 1.9e-009 1.45 62 3.3e-006 9.5e-003 2.1e-004 1.00e+000 1.665087998e+002 1.665164998e+002 1.7e-009 1.47 63 3.0e-006 9.4e-003 1.9e-004 1.00e+000 1.665093186e+002 1.665162487e+002 1.6e-009 1.48 64 2.7e-006 9.2e-003 1.7e-004 1.00e+000 1.665097853e+002 1.665160225e+002 1.4e-009 1.50 65 2.4e-006 9.1e-003 1.5e-004 1.00e+000 1.665102052e+002 1.665158187e+002 1.3e-009 1.53 66 2.2e-006 9.0e-003 1.4e-004 1.00e+000 1.665105829e+002 1.665156351e+002 1.1e-009 1.54 67 1.9e-006 8.9e-003 1.2e-004 1.00e+000 1.665109227e+002 1.665154698e+002 1.0e-009 1.56 68 1.7e-006 8.8e-003 1.1e-004 1.00e+000 1.665112285e+002 1.665153208e+002 9.2e-010 1.59 69 1.6e-006 8.7e-003 9.9e-005 1.00e+000 1.665115036e+002 1.665151867e+002 8.3e-010 1.61 70 1.4e-006 8.7e-003 8.9e-005 1.00e+000 1.665117511e+002 1.665150660e+002 7.4e-010 1.62 71 1.3e-006 8.6e-003 8.0e-005 1.00e+000 1.665119738e+002 1.665149572e+002 6.7e-010 1.64 72 1.1e-006 8.5e-003 7.2e-005 1.00e+000 1.665121742e+002 1.665148593e+002 6.0e-010 1.67 73 1.0e-006 8.5e-003 6.5e-005 1.00e+000 1.665123545e+002 1.665147712e+002 5.4e-010 1.68 74 9.3e-007 8.4e-003 5.8e-005 1.00e+000 1.665125167e+002 1.665146918e+002 4.9e-010 1.70 75 8.3e-007 8.3e-003 5.2e-005 1.00e+000 1.665126627e+002 1.665146202e+002 4.4e-010 1.73 76 7.5e-007 8.3e-003 4.7e-005 1.00e+000 1.665127940e+002 1.665145557e+002 4.0e-010 1.75 77 6.8e-007 8.3e-003 4.2e-005 1.00e+000 1.665129121e+002 1.665144977e+002 3.6e-010 1.76 78 6.1e-007 8.2e-003 3.8e-005 1.00e+000 1.665130184e+002 1.665144453e+002 3.2e-010 1.79 79 5.5e-007 8.2e-003 3.4e-005 1.00e+000 1.665131140e+002 1.665143982e+002 2.9e-010 1.81 80 4.9e-007 8.2e-003 3.1e-005 1.00e+000 1.665131999e+002 1.665143557e+002 2.6e-010 1.83 81 4.4e-007 8.1e-003 2.8e-005 1.00e+000 1.665132773e+002 1.665143174e+002 2.3e-010 1.86 82 4.0e-007 8.1e-003 2.5e-005 9.95e-001 1.665133468e+002 1.665142831e+002 2.1e-010 1.87 83 3.6e-007 8.1e-003 2.3e-005 1.00e+000 1.665134093e+002 1.665142520e+002 1.9e-010 1.90 84 3.2e-007 8.0e-003 2.0e-005 1.00e+000 1.665134656e+002 1.665142240e+002 1.7e-010 1.92 85 2.9e-007 8.0e-003 1.8e-005 9.99e-001 1.665135162e+002 1.665141988e+002 1.5e-010 5.18 86 2.6e-007 8.0e-003 1.6e-005 1.00e+000 1.665135617e+002 1.665141759e+002 1.4e-010 5.21 87 2.4e-007 8.0e-003 1.5e-005 9.99e-001 1.665136027e+002 1.665141555e+002 1.2e-010 5.23 88 2.1e-007 7.9e-003 1.3e-005 9.95e-001 1.665136395e+002 1.665141372e+002 1.1e-010 5.26 89 1.9e-007 7.9e-003 1.2e-005 9.95e-001 1.665136726e+002 1.665141206e+002 1.0e-010 5.27 90 1.7e-007 7.9e-003 1.1e-005 9.95e-001 1.665137024e+002 1.665141057e+002 9.1e-011 5.30 91 1.5e-007 7.1e-003 9.7e-006 1.01e+000 1.665137295e+002 1.665140920e+002 8.2e-011 5.34 92 1.4e-007 6.4e-003 8.7e-006 1.03e+000 1.665137559e+002 1.665140784e+002 7.4e-011 5.37 93 1.3e-007 5.8e-003 7.9e-006 9.98e-001 1.665137774e+002 1.665140677e+002 6.7e-011 5.38 94 1.1e-007 5.2e-003 7.1e-006 9.92e-001 1.665137967e+002 1.665140581e+002 6.0e-011 6.18 95 1.0e-007 4.7e-003 6.4e-006 9.90e-001 1.665138140e+002 1.665140494e+002 5.4e-011 6.21 96 9.1e-008 4.2e-003 5.7e-006 9.98e-001 1.665138297e+002 1.665140416e+002 4.9e-011 6.22 97 8.2e-008 3.8e-003 5.2e-006 9.94e-001 1.665138437e+002 1.665140345e+002 4.4e-011 6.25 98 7.4e-008 3.4e-003 4.6e-006 1.04e+000 1.665138585e+002 1.665140267e+002 4.0e-011 6.27 99 6.7e-008 3.1e-003 4.2e-006 9.86e-001 1.665138696e+002 1.665140212e+002 3.6e-011 6.30 100 6.0e-008 2.8e-003 3.8e-006 1.02e+000 1.665138804e+002 1.665140156e+002 3.3e-011 6.32 101 5.4e-008 2.5e-003 3.4e-006 9.55e-001 1.665138894e+002 1.665140113e+002 2.9e-011 6.35 102 4.9e-008 2.2e-003 3.1e-006 1.02e+000 1.665138983e+002 1.665140066e+002 2.7e-011 6.38 103 4.4e-008 2.0e-003 2.7e-006 9.13e-001 1.665139055e+002 1.665140032e+002 2.4e-011 6.41 104 3.9e-008 1.8e-003 2.5e-006 8.56e-001 1.665139118e+002 1.665140003e+002 2.2e-011 6.43 105 3.6e-008 1.6e-003 2.2e-006 1.03e+000 1.665139183e+002 1.665139969e+002 2.0e-011 6.46 106 3.2e-008 1.5e-003 2.0e-006 9.35e-001 1.665139235e+002 1.665139943e+002 1.8e-011 6.47 107 3.0e-008 1.3e-003 1.8e-006 1.14e+000 1.665139311e+002 1.665139897e+002 1.7e-011 6.50 108 2.7e-008 1.2e-003 1.6e-006 9.90e-001 1.665139351e+002 1.665139878e+002 1.5e-011 6.52 109 2.4e-008 1.1e-003 1.5e-006 8.48e-001 1.665139386e+002 1.665139862e+002 1.4e-011 6.55 110 2.4e-008 9.6e-004 1.3e-006 1.08e+000 1.665139429e+002 1.665139838e+002 1.3e-011 6.57 111 2.2e-008 8.6e-004 1.2e-006 1.07e+000 1.665139465e+002 1.665139819e+002 1.2e-011 6.60 112 1.9e-008 7.8e-004 1.1e-006 1.14e+000 1.665139504e+002 1.665139798e+002 1.2e-011 6.61 113 1.8e-008 7.0e-004 9.6e-007 7.74e-001 1.665139524e+002 1.665139786e+002 1.0e-011 6.64 114 1.5e-008 6.3e-004 8.6e-007 5.71e-001 1.665139541e+002 1.665139781e+002 9.3e-012 6.66 115 1.6e-008 5.7e-004 7.8e-007 2.25e+000 1.665139559e+002 1.665139769e+002 8.4e-012 6.69 116 1.5e-008 5.1e-004 7.0e-007 1.53e+000 1.665139575e+002 1.665139758e+002 7.5e-012 6.71 117 2.4e-008 4.6e-004 7.6e-007 1.00e+000 1.665139554e+002 1.665139753e+002 6.7e-012 6.74 118 2.2e-008 4.1e-004 6.8e-007 4.53e-001 1.665139572e+002 1.665139745e+002 6.0e-012 6.77 119 1.9e-008 3.9e-004 6.1e-007 2.90e-001 1.665139582e+002 1.665139745e+002 5.5e-012 6.85 120 1.9e-008 3.5e-004 5.5e-007 1.25e+000 1.665139594e+002 1.665139740e+002 4.9e-012 6.86 121 1.7e-008 3.1e-004 5.0e-007 3.06e-001 1.665139603e+002 1.665139740e+002 4.4e-012 6.89 122 1.6e-008 2.8e-004 4.5e-007 7.32e-001 1.665139612e+002 1.665139738e+002 4.0e-012 6.91 123 2.4e-008 2.5e-004 5.0e-007 1.00e+000 1.665139595e+002 1.665139734e+002 3.6e-012 6.94 124 2.2e-008 2.3e-004 4.5e-007 9.85e-001 1.665139605e+002 1.665139732e+002 3.2e-012 6.96 125 2.1e-008 2.1e-004 4.0e-007 3.82e-001 1.665139616e+002 1.665139728e+002 2.9e-012 6.97 126 1.9e-008 1.9e-004 3.6e-007 6.13e-001 1.665139623e+002 1.665139727e+002 2.6e-012 7.00 127 1.8e-008 1.8e-004 3.5e-007 1.15e+000 1.665139630e+002 1.665139725e+002 2.6e-012 7.02 128 1.7e-008 1.6e-004 3.1e-007 7.05e-001 1.665139637e+002 1.665139723e+002 2.3e-012 7.04 129 1.6e-008 1.4e-004 2.8e-007 2.81e+000 1.665139645e+002 1.665139719e+002 2.1e-012 7.07 130 1.5e-008 1.3e-004 2.5e-007 1.38e+000 1.665139651e+002 1.665139717e+002 1.9e-012 7.08 131 1.3e-008 1.2e-004 2.3e-007 8.93e-001 1.665139656e+002 1.665139716e+002 1.7e-012 7.11 132 1.2e-008 1.1e-004 2.2e-007 1.00e+000 1.665139658e+002 1.665139715e+002 1.5e-012 7.13 133 1.0e-008 9.5e-005 2.0e-007 1.51e+000 1.665139662e+002 1.665139714e+002 1.4e-012 7.16 134 1.1e-008 9.5e-005 2.0e-007 6.17e+001 1.665139663e+002 1.665139713e+002 1.4e-012 7.18 135 1.2e-008 9.1e-005 1.9e-007 3.15e+000 1.665139666e+002 1.665139712e+002 1.3e-012 7.19 136 1.1e-008 8.1e-005 1.7e-007 3.19e-001 1.665139669e+002 1.665139712e+002 1.2e-012 7.22 137 1.1e-008 7.3e-005 1.5e-007 8.86e-001 1.665139672e+002 1.665139711e+002 1.1e-012 7.24 138 9.9e-009 6.6e-005 1.4e-007 5.44e-001 1.665139675e+002 1.665139711e+002 9.5e-013 7.25 Interior-point optimizer terminated. Time: 7.27. Optimizer terminated. Time: 7.29 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6651396753e+002 Viol. con: 2e-007 var: 0e+000 Dual. obj: 1.6651397107e+002 Viol. con: 0e+000 var: 3e-004 * End solution on dual form. * Transforming to primal solution. Solving took 7.31 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 Lin. dep. - tries : 1 time : 0.02 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3473 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 : 0.03 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.3e+005 0.00e+000 -1.287130061e+005 2.000000000e+000 1.0e+000 0.09 1 1.1e+003 1.4e+003 6.1e+004 -9.71e-001 -1.265592372e+005 3.576772514e+000 4.8e-001 0.13 2 4.3e+002 5.5e+002 2.4e+004 -9.37e-001 -1.203766294e+005 1.008776081e+001 1.9e-001 0.14 3 2.9e+002 3.7e+002 1.6e+004 -8.40e-001 -1.156952942e+005 6.340936617e+001 1.3e-001 0.17 4 2.9e+002 3.6e+002 1.6e+004 -7.60e-001 -1.130304918e+005 2.320931132e+003 1.2e-001 0.19 5 7.7e+001 9.7e+001 4.2e+003 -7.53e-001 -7.523395405e+004 9.731856150e+003 3.3e-002 0.22 6 3.1e+001 3.9e+001 1.7e+003 -2.03e-001 -4.065155936e+004 1.050842773e+004 1.3e-002 0.23 7 1.8e+001 2.3e+001 1.0e+003 3.92e-001 -2.715593607e+004 6.811545276e+003 8.0e-003 0.27 8 1.0e+001 1.3e+001 5.6e+002 6.31e-001 -1.604748012e+004 4.012035955e+003 4.4e-003 0.28 9 3.9e+000 4.9e+000 2.2e+002 8.07e-001 -6.272036378e+003 1.923706745e+003 1.7e-003 0.30 10 2.5e+000 3.1e+000 1.4e+002 9.43e-001 -3.771062863e+003 1.480149558e+003 1.1e-003 0.31 11 9.8e-001 1.2e+000 5.4e+001 9.75e-001 -1.413809912e+003 6.938091330e+002 4.3e-004 0.34 12 8.5e-001 1.1e+000 4.7e+001 9.77e-001 -1.227104944e+003 6.184980283e+002 3.8e-004 0.36 13 5.1e-001 6.5e-001 2.8e+001 9.77e-001 -6.772946822e+002 4.372724232e+002 2.3e-004 0.38 14 3.0e-001 3.9e-001 1.7e+001 1.00e+000 -3.194503953e+002 3.325404068e+002 1.3e-004 0.39 15 1.0e-001 1.6e-001 5.8e+000 1.00e+000 -1.520608810e+001 2.101915379e+002 4.7e-005 0.42 16 8.2e-002 1.3e-001 4.7e+000 1.02e+000 2.312718744e+001 2.055055628e+002 3.8e-005 0.44 17 6.0e-002 9.5e-002 3.4e+000 1.02e+000 6.343115941e+001 1.953485084e+002 2.8e-005 0.45 18 1.9e-002 8.1e-002 1.1e+000 1.02e+000 1.346485141e+002 1.763051017e+002 8.8e-006 0.47 19 6.1e-003 1.7e-001 3.6e-001 1.01e+000 1.565597401e+002 1.701256140e+002 2.9e-006 0.50 20 2.8e-003 2.2e-001 1.6e-001 1.01e+000 1.617622709e+002 1.679758498e+002 1.3e-006 0.52 21 1.5e-003 1.3e-001 8.9e-002 1.01e+000 1.639598671e+002 1.673344345e+002 7.2e-007 0.53 22 4.3e-004 1.4e-001 2.6e-002 1.01e+000 1.657670753e+002 1.667595778e+002 2.1e-007 0.55 23 2.2e-004 1.1e-001 1.4e-002 9.99e-001 1.661020086e+002 1.666248628e+002 1.1e-007 0.58 24 1.6e-004 8.1e-002 1.0e-002 9.84e-001 1.662069432e+002 1.665839848e+002 8.3e-008 0.59 25 1.3e-004 6.5e-002 8.3e-003 9.94e-001 1.662548107e+002 1.665702591e+002 6.9e-008 0.61 26 1.2e-004 6.1e-002 7.5e-003 1.01e+000 1.662768099e+002 1.665605086e+002 6.2e-008 0.62 27 1.1e-004 5.5e-002 6.8e-003 1.01e+000 1.662967088e+002 1.665519083e+002 5.6e-008 0.64 28 9.8e-005 5.1e-002 6.1e-003 1.01e+000 1.663146662e+002 1.665442992e+002 5.1e-008 0.67 29 8.8e-005 4.6e-002 5.5e-003 1.01e+000 1.663307737e+002 1.665374059e+002 4.6e-008 0.69 30 7.9e-005 4.2e-002 4.9e-003 1.01e+000 1.663452337e+002 1.665311728e+002 4.1e-008 0.70 31 7.1e-005 3.9e-002 4.4e-003 1.00e+000 1.663582131e+002 1.665255345e+002 3.7e-008 0.72 32 6.4e-005 3.6e-002 4.0e-003 1.00e+000 1.663698650e+002 1.665204352e+002 3.3e-008 0.75 33 5.8e-005 3.3e-002 3.6e-003 1.00e+000 1.663803261e+002 1.665158241e+002 3.0e-008 0.77 34 5.2e-005 3.0e-002 3.2e-003 1.00e+000 1.663897192e+002 1.665116552e+002 2.7e-008 0.78 35 4.7e-005 2.8e-002 2.9e-003 1.00e+000 1.663981543e+002 1.665078870e+002 2.4e-008 0.80 36 4.2e-005 2.6e-002 2.6e-003 1.00e+000 1.664057298e+002 1.665044815e+002 2.2e-008 0.81 37 3.8e-005 2.4e-002 2.4e-003 1.00e+000 1.664125340e+002 1.665014045e+002 2.0e-008 0.84 38 3.4e-005 2.3e-002 2.1e-003 1.00e+000 1.664186461e+002 1.664986247e+002 1.8e-008 0.86 39 3.1e-005 2.1e-002 1.9e-003 1.00e+000 1.664241369e+002 1.664961138e+002 1.6e-008 0.87 40 2.8e-005 2.0e-002 1.7e-003 1.00e+000 1.664290699e+002 1.664938461e+002 1.4e-008 0.89 41 2.5e-005 1.9e-002 1.6e-003 1.00e+000 1.664335022e+002 1.664917983e+002 1.3e-008 0.92 42 2.2e-005 1.7e-002 1.4e-003 1.00e+000 1.664374847e+002 1.664899494e+002 1.2e-008 0.95 43 2.0e-005 1.6e-002 1.3e-003 1.00e+000 1.664410635e+002 1.664882802e+002 1.0e-008 0.97 44 1.8e-005 1.6e-002 1.1e-003 1.00e+000 1.664442795e+002 1.664867735e+002 9.4e-009 0.98 45 1.6e-005 1.5e-002 1.0e-003 1.00e+000 1.664471699e+002 1.664854136e+002 8.5e-009 1.00 46 1.5e-005 1.4e-002 9.2e-004 1.00e+000 1.664497677e+002 1.664841863e+002 7.6e-009 1.01 47 1.3e-005 1.4e-002 8.2e-004 1.00e+000 1.664521027e+002 1.664830790e+002 6.9e-009 1.04 48 1.2e-005 1.3e-002 7.4e-004 1.00e+000 1.664542017e+002 1.664820799e+002 6.2e-009 1.06 49 1.1e-005 1.2e-002 6.7e-004 1.00e+000 1.664560887e+002 1.664811788e+002 5.6e-009 1.08 50 9.6e-006 1.2e-002 6.0e-004 1.00e+000 1.664577851e+002 1.664803660e+002 5.0e-009 1.09 51 8.7e-006 1.2e-002 5.4e-004 1.00e+000 1.664593104e+002 1.664796331e+002 4.5e-009 1.11 52 7.8e-006 1.1e-002 4.9e-004 1.00e+000 1.664606819e+002 1.664789723e+002 4.0e-009 1.12 53 7.0e-006 1.1e-002 4.4e-004 1.00e+000 1.664619152e+002 1.664783765e+002 3.6e-009 1.14 54 6.3e-006 1.1e-002 3.9e-004 1.00e+000 1.664630243e+002 1.664778394e+002 3.3e-009 1.16 55 5.7e-006 1.0e-002 3.5e-004 1.00e+000 1.664640217e+002 1.664773554e+002 3.0e-009 1.17 56 5.1e-006 1.0e-002 3.2e-004 1.00e+000 1.664649188e+002 1.664769191e+002 2.7e-009 1.20 57 4.6e-006 9.9e-003 2.9e-004 1.00e+000 1.664657256e+002 1.664765260e+002 2.4e-009 1.22 58 4.1e-006 9.7e-003 2.6e-004 1.00e+000 1.664664513e+002 1.664761716e+002 2.2e-009 1.23 59 3.7e-006 9.6e-003 2.3e-004 1.00e+000 1.664671039e+002 1.664758523e+002 1.9e-009 1.25 60 3.4e-006 9.4e-003 2.1e-004 1.00e+000 1.664676909e+002 1.664755645e+002 1.7e-009 1.26 61 3.0e-006 9.3e-003 1.9e-004 1.00e+000 1.664682189e+002 1.664753051e+002 1.6e-009 1.28 62 2.7e-006 9.1e-003 1.7e-004 1.00e+000 1.664686938e+002 1.664750714e+002 1.4e-009 1.29 63 2.4e-006 9.0e-003 1.5e-004 1.00e+000 1.664691210e+002 1.664748608e+002 1.3e-009 1.31 64 2.2e-006 8.9e-003 1.4e-004 1.00e+000 1.664695053e+002 1.664746712e+002 1.1e-009 1.34 65 2.0e-006 8.8e-003 1.2e-004 1.00e+000 1.664698511e+002 1.664745004e+002 1.0e-009 1.36 66 1.8e-006 8.7e-003 1.1e-004 1.00e+000 1.664701622e+002 1.664743466e+002 9.3e-010 1.37 67 1.6e-006 8.6e-003 1.0e-004 1.00e+000 1.664704421e+002 1.664742081e+002 8.3e-010 1.39 68 1.4e-006 8.5e-003 9.0e-005 1.00e+000 1.664706940e+002 1.664740834e+002 7.5e-010 1.40 69 1.3e-006 8.5e-003 8.1e-005 1.00e+000 1.664709206e+002 1.664739710e+002 6.8e-010 1.42 70 1.2e-006 8.4e-003 7.3e-005 1.00e+000 1.664711245e+002 1.664738699e+002 6.1e-010 1.44 71 1.1e-006 8.3e-003 6.6e-005 1.00e+000 1.664713080e+002 1.664737788e+002 5.5e-010 1.45 72 9.5e-007 8.3e-003 5.9e-005 1.00e+000 1.664714730e+002 1.664736968e+002 4.9e-010 1.47 73 8.5e-007 8.2e-003 5.3e-005 1.00e+000 1.664716215e+002 1.664736230e+002 4.4e-010 1.50 74 7.7e-007 8.2e-003 4.8e-005 1.00e+000 1.664717551e+002 1.664735564e+002 4.0e-010 1.51 75 6.9e-007 8.1e-003 4.3e-005 1.00e+000 1.664718753e+002 1.664734965e+002 3.6e-010 1.53 76 6.2e-007 8.1e-003 3.9e-005 1.00e+000 1.664719835e+002 1.664734425e+002 3.2e-010 1.54 77 5.6e-007 8.0e-003 3.5e-005 1.00e+000 1.664720808e+002 1.664733939e+002 2.9e-010 1.56 78 5.0e-007 8.0e-003 3.1e-005 1.00e+000 1.664721683e+002 1.664733501e+002 2.6e-010 1.58 79 4.5e-007 8.0e-003 2.8e-005 1.00e+000 1.664722470e+002 1.664733106e+002 2.4e-010 1.59 80 4.1e-007 7.9e-003 2.5e-005 1.00e+000 1.664723178e+002 1.664732751e+002 2.1e-010 1.61 81 3.7e-007 7.9e-003 2.3e-005 1.00e+000 1.664723815e+002 1.664732430e+002 1.9e-010 1.62 82 3.3e-007 7.9e-003 2.1e-005 1.00e+000 1.664724387e+002 1.664732141e+002 1.7e-010 1.65 83 3.0e-007 7.9e-003 1.9e-005 1.00e+000 1.664724903e+002 1.664731881e+002 1.5e-010 1.67 84 2.7e-007 7.8e-003 1.7e-005 1.00e+000 1.664725366e+002 1.664731647e+002 1.4e-010 1.69 85 2.4e-007 7.8e-003 1.5e-005 9.98e-001 1.664725783e+002 1.664731437e+002 1.3e-010 1.70 86 2.2e-007 7.8e-003 1.4e-005 1.00e+000 1.664726159e+002 1.664731246e+002 1.1e-010 1.72 87 1.9e-007 7.8e-003 1.2e-005 1.00e+000 1.664726497e+002 1.664731075e+002 1.0e-010 1.73 88 1.8e-007 7.7e-003 1.1e-005 1.00e+000 1.664726801e+002 1.664730921e+002 9.1e-011 1.75 89 1.6e-007 7.0e-003 9.9e-006 1.00e+000 1.664727076e+002 1.664730781e+002 8.2e-011 1.76 90 1.4e-007 6.3e-003 8.9e-006 1.00e+000 1.664727322e+002 1.664730657e+002 7.4e-011 1.78 91 1.3e-007 5.6e-003 8.0e-006 1.00e+000 1.664727545e+002 1.664730543e+002 6.7e-011 1.81 92 1.2e-007 5.1e-003 7.2e-006 1.00e+000 1.664727744e+002 1.664730442e+002 6.0e-011 1.83 93 1.0e-007 4.6e-003 6.5e-006 1.00e+000 1.664727923e+002 1.664730351e+002 5.4e-011 1.84 94 9.3e-008 4.1e-003 5.8e-006 1.00e+000 1.664728085e+002 1.664730269e+002 4.9e-011 1.86 95 8.4e-008 3.7e-003 5.3e-006 9.97e-001 1.664728230e+002 1.664730195e+002 4.4e-011 1.89 96 7.6e-008 3.3e-003 4.7e-006 1.00e+000 1.664728361e+002 1.664730129e+002 3.9e-011 1.90 97 6.8e-008 3.0e-003 4.3e-006 1.00e+000 1.664728479e+002 1.664730069e+002 3.5e-011 1.92 98 6.1e-008 2.7e-003 3.8e-006 1.00e+000 1.664728585e+002 1.664730015e+002 3.2e-011 1.95 99 5.5e-008 2.4e-003 3.4e-006 9.90e-001 1.664728679e+002 1.664729968e+002 2.9e-011 1.97 100 5.0e-008 2.2e-003 3.1e-006 9.94e-001 1.664728765e+002 1.664729925e+002 2.6e-011 1.98 101 4.5e-008 2.0e-003 2.8e-006 9.92e-001 1.664728842e+002 1.664729886e+002 2.3e-011 2.00 102 4.0e-008 1.8e-003 2.5e-006 1.00e+000 1.664728911e+002 1.664729850e+002 2.1e-011 2.03 103 3.6e-008 1.6e-003 2.3e-006 9.99e-001 1.664728974e+002 1.664729819e+002 1.9e-011 2.04 104 3.3e-008 1.4e-003 2.0e-006 9.87e-001 1.664729030e+002 1.664729790e+002 1.7e-011 2.08 105 2.9e-008 1.3e-003 1.8e-006 1.01e+000 1.664729082e+002 1.664729764e+002 1.5e-011 2.09 106 2.6e-008 1.2e-003 1.6e-006 1.02e+000 1.664729131e+002 1.664729738e+002 1.4e-011 2.11 107 2.4e-008 1.0e-003 1.5e-006 9.95e-001 1.664729171e+002 1.664729718e+002 1.3e-011 2.12 108 2.1e-008 9.4e-004 1.3e-006 9.97e-001 1.664729207e+002 1.664729699e+002 1.1e-011 2.14 109 1.9e-008 8.5e-004 1.2e-006 1.01e+000 1.664729241e+002 1.664729682e+002 1.0e-011 2.15 110 1.7e-008 7.6e-004 1.1e-006 1.05e+000 1.664729276e+002 1.664729663e+002 9.4e-012 2.17 111 1.6e-008 6.9e-004 9.7e-007 9.29e-001 1.664729302e+002 1.664729651e+002 8.4e-012 2.20 112 1.4e-008 6.2e-004 8.8e-007 1.05e+000 1.664729331e+002 1.664729635e+002 7.8e-012 2.21 113 1.3e-008 5.6e-004 7.9e-007 9.69e-001 1.664729351e+002 1.664729625e+002 7.0e-012 2.23 114 1.1e-008 5.0e-004 7.1e-007 1.30e+000 1.664729369e+002 1.664729618e+002 6.3e-012 2.25 115 1.1e-008 4.5e-004 6.4e-007 8.80e-001 1.664729384e+002 1.664729612e+002 5.7e-012 2.26 116 9.7e-009 4.1e-004 5.7e-007 8.81e-001 1.664729399e+002 1.664729605e+002 5.1e-012 2.28 117 8.8e-009 3.7e-004 5.2e-007 1.31e+000 1.664729412e+002 1.664729599e+002 4.6e-012 2.31 118 8.6e-009 3.3e-004 4.7e-007 1.19e+000 1.664729435e+002 1.664729582e+002 4.5e-012 2.33 119 7.8e-009 3.0e-004 4.2e-007 8.73e-001 1.664729446e+002 1.664729576e+002 4.1e-012 2.34 120 6.7e-009 2.7e-004 3.8e-007 2.36e+000 1.664729454e+002 1.664729574e+002 3.7e-012 2.36 121 6.4e-009 2.4e-004 3.4e-007 7.56e-001 1.664729461e+002 1.664729572e+002 3.3e-012 2.39 122 8.5e-009 2.9e-005 4.1e-008 7.24e-001 1.664729530e+002 1.664729546e+002 7.3e-013 2.40 Interior-point optimizer terminated. Time: 2.40. Optimizer terminated. Time: 2.42 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6647295305e+002 Viol. con: 2e-007 var: 0e+000 Dual. obj: 1.6647295459e+002 Viol. con: 0e+000 var: 2e-004 * End solution on dual form. * Transforming to primal solution. Solving took 2.45 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3473 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.11 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.09 Factor - nonzeros before factor : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.4e+003 3.0e+003 1.3e+005 0.00e+000 -1.287096128e+005 2.000000000e+000 1.0e+000 0.16 1 1.1e+003 1.4e+003 6.1e+004 -9.71e-001 -1.265552133e+005 3.575843421e+000 4.8e-001 0.19 2 4.3e+002 5.4e+002 2.4e+004 -9.37e-001 -1.203371977e+005 1.011588016e+001 1.9e-001 0.22 3 2.9e+002 3.7e+002 1.6e+004 -8.39e-001 -1.156574151e+005 6.392426570e+001 1.2e-001 0.25 4 2.9e+002 3.6e+002 1.6e+004 -7.60e-001 -1.129982582e+005 2.315657844e+003 1.2e-001 0.27 5 7.7e+001 9.6e+001 4.2e+003 -7.53e-001 -7.488591449e+004 9.781459712e+003 3.3e-002 0.30 6 3.1e+001 3.9e+001 1.7e+003 -1.98e-001 -4.073909649e+004 1.044531461e+004 1.3e-002 0.33 7 1.9e+001 2.3e+001 1.0e+003 3.90e-001 -2.725998408e+004 6.806865612e+003 8.0e-003 0.36 8 1.0e+001 1.3e+001 5.5e+002 6.29e-001 -1.594009848e+004 3.982296658e+003 4.4e-003 0.39 9 3.8e+000 4.8e+000 2.1e+002 8.08e-001 -6.167659105e+003 1.889480738e+003 1.7e-003 0.41 10 2.5e+000 3.1e+000 1.4e+002 9.44e-001 -3.762706213e+003 1.461535899e+003 1.1e-003 0.44 11 9.9e-001 1.2e+000 5.5e+001 9.74e-001 -1.434712290e+003 6.954486903e+002 4.4e-004 0.47 12 8.5e-001 1.1e+000 4.7e+001 9.76e-001 -1.233703919e+003 6.168240004e+002 3.8e-004 0.50 13 5.1e-001 6.5e-001 2.8e+001 9.75e-001 -6.721307421e+002 4.360128977e+002 2.2e-004 0.53 14 2.9e-001 3.8e-001 1.6e+001 1.00e+000 -3.072996483e+002 3.276917450e+002 1.3e-004 0.55 15 1.0e-001 1.6e-001 5.7e+000 1.00e+000 -1.377023661e+001 2.102909380e+002 4.6e-005 0.58 16 8.2e-002 1.3e-001 4.7e+000 1.02e+000 2.461967590e+001 2.062714361e+002 3.8e-005 0.61 17 5.6e-002 9.3e-002 3.2e+000 1.02e+000 7.061277427e+001 1.933362276e+002 2.6e-005 0.64 18 1.8e-002 8.5e-002 1.0e+000 1.02e+000 1.368605359e+002 1.756557116e+002 8.2e-006 0.66 19 7.5e-003 7.6e-002 4.3e-001 1.01e+000 1.537246094e+002 1.702420392e+002 3.5e-006 0.69 20 1.7e-003 1.7e-001 1.0e-001 1.01e+000 1.635979728e+002 1.675477684e+002 8.3e-007 0.70 21 1.1e-003 1.2e-001 6.7e-002 9.74e-001 1.646182654e+002 1.671487719e+002 5.4e-007 0.73 22 4.4e-004 9.9e-002 2.8e-002 9.84e-001 1.657002417e+002 1.667658558e+002 2.3e-007 0.76 23 2.0e-004 8.2e-002 1.3e-002 1.00e+000 1.661052412e+002 1.665950021e+002 1.1e-007 0.78 24 9.5e-005 7.5e-002 6.1e-003 1.01e+000 1.662859949e+002 1.665174385e+002 5.0e-008 0.81 25 8.6e-005 7.1e-002 5.5e-003 1.01e+000 1.663042379e+002 1.665126660e+002 4.5e-008 0.84 26 7.7e-005 6.4e-002 5.0e-003 1.01e+000 1.663183703e+002 1.665058507e+002 4.1e-008 0.86 27 6.9e-005 5.8e-002 4.5e-003 1.01e+000 1.663314764e+002 1.665001698e+002 3.7e-008 0.89 28 6.3e-005 5.3e-002 4.0e-003 1.01e+000 1.663432008e+002 1.664949822e+002 3.3e-008 0.91 29 5.6e-005 4.8e-002 3.6e-003 1.01e+000 1.663537294e+002 1.664902978e+002 3.0e-008 0.94 30 5.1e-005 4.4e-002 3.2e-003 1.01e+000 1.663631769e+002 1.664860591e+002 2.7e-008 0.95 31 4.6e-005 4.1e-002 2.9e-003 1.01e+000 1.663716573e+002 1.664822271e+002 2.4e-008 0.98 32 4.1e-005 3.7e-002 2.6e-003 1.01e+000 1.663792705e+002 1.664787634e+002 2.2e-008 1.00 33 3.7e-005 3.5e-002 2.4e-003 1.01e+000 1.663861060e+002 1.664756332e+002 2.0e-008 1.03 34 3.3e-005 3.2e-002 2.1e-003 1.00e+000 1.663922439e+002 1.664728051e+002 1.8e-008 1.04 35 3.0e-005 2.9e-002 1.9e-003 1.00e+000 1.663977561e+002 1.664702502e+002 1.6e-008 1.08 36 2.7e-005 2.7e-002 1.7e-003 1.00e+000 1.664027068e+002 1.664679426e+002 1.4e-008 1.09 37 2.4e-005 2.5e-002 1.6e-003 1.00e+000 1.664071536e+002 1.664658586e+002 1.3e-008 1.12 38 2.2e-005 2.4e-002 1.4e-003 1.00e+000 1.664111482e+002 1.664639768e+002 1.2e-008 1.14 39 2.0e-005 2.2e-002 1.3e-003 1.00e+000 1.664147370e+002 1.664622779e+002 1.0e-008 1.17 40 1.8e-005 2.1e-002 1.1e-003 1.00e+000 1.664179614e+002 1.664607443e+002 9.4e-009 1.19 41 1.6e-005 1.9e-002 1.0e-003 1.00e+000 1.664208586e+002 1.664593601e+002 8.4e-009 1.22 42 1.4e-005 1.8e-002 9.2e-004 1.00e+000 1.664234621e+002 1.664581109e+002 7.6e-009 1.23 43 1.3e-005 1.7e-002 8.3e-004 1.00e+000 1.664258018e+002 1.664569837e+002 6.8e-009 1.26 44 1.2e-005 1.6e-002 7.4e-004 1.00e+000 1.664279047e+002 1.664559667e+002 6.1e-009 1.28 45 1.0e-005 1.5e-002 6.7e-004 1.00e+000 1.664297948e+002 1.664550493e+002 5.5e-009 1.31 46 9.4e-006 1.5e-002 6.0e-004 1.00e+000 1.664314939e+002 1.664542218e+002 5.0e-009 1.33 47 8.4e-006 1.4e-002 5.4e-004 1.00e+000 1.664330212e+002 1.664534754e+002 4.5e-009 3.31 48 7.6e-006 1.3e-002 4.9e-004 1.00e+000 1.664343943e+002 1.664528025e+002 4.0e-009 3.34 49 6.8e-006 1.3e-002 4.4e-004 1.00e+000 1.664356289e+002 1.664521957e+002 3.6e-009 3.37 50 6.2e-006 1.2e-002 4.0e-004 1.00e+000 1.664367390e+002 1.664516486e+002 3.3e-009 3.40 51 5.5e-006 1.2e-002 3.6e-004 1.00e+000 1.664377371e+002 1.664511555e+002 2.9e-009 3.43 52 5.0e-006 1.2e-002 3.2e-004 1.00e+000 1.664386347e+002 1.664507109e+002 2.6e-009 3.45 53 4.5e-006 1.1e-002 2.9e-004 1.00e+000 1.664394418e+002 1.664503102e+002 2.4e-009 3.46 54 4.0e-006 1.1e-002 2.6e-004 1.00e+000 1.664401677e+002 1.664499491e+002 2.1e-009 3.48 55 3.6e-006 1.1e-002 2.3e-004 1.00e+000 1.664408205e+002 1.664496236e+002 1.9e-009 3.49 56 3.3e-006 1.0e-002 2.1e-004 1.00e+000 1.664414076e+002 1.664493303e+002 1.7e-009 3.51 57 2.9e-006 1.0e-002 1.9e-004 1.00e+000 1.664419355e+002 1.664490659e+002 1.6e-009 3.52 58 2.7e-006 9.9e-003 1.7e-004 1.00e+000 1.664424104e+002 1.664488277e+002 1.4e-009 3.81 59 2.4e-006 9.7e-003 1.5e-004 1.00e+000 1.664428376e+002 1.664486131e+002 1.3e-009 5.54 60 2.1e-006 9.5e-003 1.4e-004 1.00e+000 1.664432219e+002 1.664484198e+002 1.1e-009 5.55 61 1.9e-006 9.3e-003 1.2e-004 1.00e+000 1.664435677e+002 1.664482458e+002 1.0e-009 5.59 62 1.7e-006 9.2e-003 1.1e-004 1.00e+000 1.664438788e+002 1.664480890e+002 9.2e-010 5.60 63 1.6e-006 9.1e-003 1.0e-004 1.00e+000 1.664441587e+002 1.664479479e+002 8.3e-010 5.63 64 1.4e-006 8.9e-003 9.1e-005 1.00e+000 1.664444106e+002 1.664478208e+002 7.5e-010 5.66 65 1.3e-006 8.8e-003 8.1e-005 1.00e+000 1.664446372e+002 1.664477065e+002 6.7e-010 5.68 66 1.1e-006 8.7e-003 7.3e-005 1.00e+000 1.664448412e+002 1.664476035e+002 6.1e-010 5.71 67 1.0e-006 8.6e-003 6.6e-005 1.00e+000 1.664450247e+002 1.664475107e+002 5.4e-010 5.72 68 9.2e-007 8.5e-003 5.9e-005 1.00e+000 1.664451898e+002 1.664474272e+002 4.9e-010 5.76 69 8.3e-007 8.4e-003 5.3e-005 1.00e+000 1.664453383e+002 1.664473521e+002 4.4e-010 5.79 70 7.5e-007 8.4e-003 4.8e-005 9.99e-001 1.664454720e+002 1.664472845e+002 4.0e-010 5.82 71 6.7e-007 8.3e-003 4.3e-005 1.00e+000 1.664455922e+002 1.664472235e+002 3.6e-010 5.85 72 6.1e-007 8.2e-003 3.9e-005 1.00e+000 1.664457005e+002 1.664471685e+002 3.2e-010 5.88 73 5.5e-007 8.2e-003 3.5e-005 1.00e+000 1.664457978e+002 1.664471190e+002 2.9e-010 5.91 74 4.9e-007 8.1e-003 3.2e-005 1.00e+000 1.664458853e+002 1.664470745e+002 2.6e-010 5.94 75 4.4e-007 8.1e-003 2.8e-005 1.00e+000 1.664459641e+002 1.664470344e+002 2.3e-010 5.96 76 4.0e-007 8.0e-003 2.6e-005 1.00e+000 1.664460350e+002 1.664469982e+002 2.1e-010 5.99 77 3.6e-007 8.0e-003 2.3e-005 1.00e+000 1.664460987e+002 1.664469656e+002 1.9e-010 6.02 78 3.2e-007 8.0e-003 2.1e-005 1.00e+000 1.664461561e+002 1.664469362e+002 1.7e-010 6.04 79 2.9e-007 7.9e-003 1.9e-005 1.00e+000 1.664462077e+002 1.664469097e+002 1.5e-010 6.07 80 2.6e-007 7.9e-003 1.7e-005 1.00e+000 1.664462541e+002 1.664468859e+002 1.4e-010 6.10 81 2.3e-007 7.9e-003 1.5e-005 9.98e-001 1.664462959e+002 1.664468645e+002 1.2e-010 6.13 82 2.1e-007 7.8e-003 1.4e-005 1.00e+000 1.664463334e+002 1.664468452e+002 1.1e-010 6.15 83 1.9e-007 7.8e-003 1.2e-005 9.99e-001 1.664463673e+002 1.664468279e+002 1.0e-010 6.18 84 1.7e-007 7.8e-003 1.1e-005 9.99e-001 1.664463977e+002 1.664468123e+002 9.1e-011 6.21 85 1.5e-007 7.7e-003 9.9e-006 1.00e+000 1.664464251e+002 1.664467982e+002 8.2e-011 6.22 86 1.4e-007 7.7e-003 8.9e-006 9.96e-001 1.664464497e+002 1.664467856e+002 7.4e-011 6.25 87 1.2e-007 7.7e-003 8.0e-006 1.00e+000 1.664464719e+002 1.664467742e+002 6.6e-011 6.29 88 1.1e-007 7.7e-003 7.2e-006 9.98e-001 1.664464918e+002 1.664467639e+002 6.0e-011 6.32 89 1.0e-007 7.6e-003 6.5e-006 9.96e-001 1.664465098e+002 1.664467547e+002 5.4e-011 6.33 90 9.1e-008 7.6e-003 5.8e-006 1.00e+000 1.664465259e+002 1.664467464e+002 4.8e-011 6.85 91 8.2e-008 7.6e-003 5.3e-006 9.93e-001 1.664465405e+002 1.664467389e+002 4.3e-011 6.88 92 7.4e-008 7.6e-003 4.7e-006 1.00e+000 1.664465536e+002 1.664467322e+002 3.9e-011 6.91 93 6.6e-008 7.6e-003 4.3e-006 9.86e-001 1.664465653e+002 1.664467262e+002 3.5e-011 6.93 94 6.0e-008 7.5e-003 3.8e-006 9.97e-001 1.664465759e+002 1.664467207e+002 3.2e-011 6.96 95 5.4e-008 6.8e-003 3.5e-006 1.00e+000 1.664465855e+002 1.664467157e+002 2.9e-011 6.97 96 4.8e-008 6.1e-003 3.1e-006 9.86e-001 1.664465941e+002 1.664467113e+002 2.6e-011 6.99 97 4.4e-008 5.5e-003 2.8e-006 1.02e+000 1.664466024e+002 1.664467070e+002 2.3e-011 7.02 98 3.9e-008 5.0e-003 2.5e-006 9.97e-001 1.664466093e+002 1.664467034e+002 2.1e-011 7.07 99 3.5e-008 4.5e-003 2.3e-006 1.02e+000 1.664466161e+002 1.664466998e+002 1.9e-011 7.08 100 3.2e-008 4.0e-003 2.0e-006 1.01e+000 1.664466220e+002 1.664466968e+002 1.7e-011 7.11 101 2.9e-008 3.6e-003 1.8e-006 9.64e-001 1.664466269e+002 1.664466943e+002 1.6e-011 7.13 102 2.6e-008 3.2e-003 1.7e-006 1.00e+000 1.664466313e+002 1.664466920e+002 1.4e-011 7.16 103 2.3e-008 2.9e-003 1.5e-006 1.01e+000 1.664466355e+002 1.664466898e+002 1.3e-011 7.18 104 2.1e-008 2.6e-003 1.3e-006 1.05e+000 1.664466399e+002 1.664466875e+002 1.2e-011 7.21 105 1.9e-008 2.4e-003 1.2e-006 1.03e+000 1.664466434e+002 1.664466856e+002 1.1e-011 7.46 106 1.7e-008 2.1e-003 1.1e-006 9.67e-001 1.664466462e+002 1.664466842e+002 9.6e-012 7.49 107 1.5e-008 1.9e-003 9.8e-007 9.77e-001 1.664466487e+002 1.664466830e+002 8.6e-012 7.50 108 1.4e-008 1.7e-003 8.8e-007 9.47e-001 1.664466509e+002 1.664466819e+002 7.8e-012 7.54 109 1.2e-008 1.6e-003 7.9e-007 9.88e-001 1.664466530e+002 1.664466808e+002 7.0e-012 7.57 110 1.1e-008 1.4e-003 7.1e-007 1.03e+000 1.664466551e+002 1.664466797e+002 6.4e-012 7.58 111 1.0e-008 1.3e-003 6.4e-007 1.07e+000 1.664466572e+002 1.664466785e+002 5.9e-012 7.61 112 9.1e-009 1.1e-003 5.8e-007 1.06e+000 1.664466590e+002 1.664466776e+002 5.5e-012 7.63 113 8.2e-009 1.0e-003 5.2e-007 9.19e-001 1.664466603e+002 1.664466770e+002 5.0e-012 7.66 114 3.9e-009 6.1e-005 3.1e-008 8.87e-001 1.664466710e+002 1.664466720e+002 5.3e-013 7.69 Interior-point optimizer terminated. Time: 7.69. Optimizer terminated. Time: 8.02 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6644667098e+002 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.6644667204e+002 Viol. con: 0e+000 var: 4e-004 * End solution on dual form. * Transforming to primal solution. Solving took 8.04 seconds. 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. * Computer Platform : Windows/64-X86 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. Total number of eliminations : 932 Eliminator terminated. Eliminator started. Total number of eliminations : 943 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Eliminator - elim's : 943 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 : 782 Optimizer - Cones : 0 Optimizer - Scalar variables : 3473 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 : 1.66e+004 after factor : 1.52e+005 Factor - dense dim. : 0 flops : 0.00e+000 Factor - GP saved nzs : 0 GP saved flops : 0.00e+000 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.4e+003 3.0e+003 1.3e+005 0.00e+000 -1.287074236e+005 2.000000000e+000 1.0e+000 0.09 1 1.1e+003 1.4e+003 6.1e+004 -9.71e-001 -1.265528973e+005 3.575058476e+000 4.8e-001 0.44 2 4.3e+002 5.4e+002 2.4e+004 -9.37e-001 -1.203068693e+005 1.013713271e+001 1.9e-001 2.00 3 2.9e+002 3.6e+002 1.6e+004 -8.39e-001 -1.156286273e+005 6.433626535e+001 1.2e-001 2.03 4 2.9e+002 3.6e+002 1.6e+004 -7.59e-001 -1.129727731e+005 2.312429640e+003 1.2e-001 2.04 5 7.6e+001 9.6e+001 4.2e+003 -7.52e-001 -7.463747879e+004 9.816084942e+003 3.3e-002 2.07 6 3.1e+001 3.9e+001 1.7e+003 -1.94e-001 -4.088963485e+004 1.039929980e+004 1.3e-002 2.11 7 1.9e+001 2.3e+001 1.0e+003 3.87e-001 -2.736776808e+004 6.807481667e+003 8.1e-003 2.14 8 1.0e+001 1.3e+001 5.5e+002 6.27e-001 -1.588702561e+004 3.965946984e+003 4.3e-003 2.15 9 3.8e+000 4.8e+000 2.1e+002 8.09e-001 -6.094762076e+003 1.868040791e+003 1.7e-003 2.18 10 2.5e+000 3.1e+000 1.4e+002 9.45e-001 -3.758287000e+003 1.455623080e+003 1.1e-003 2.21 11 1.0e+000 1.3e+000 5.5e+001 9.74e-001 -1.449789987e+003 6.973150656e+002 4.4e-004 2.23 12 8.5e-001 1.1e+000 4.7e+001 9.76e-001 -1.240544996e+003 6.168966452e+002 3.8e-004 2.26 13 5.1e-001 6.5e-001 2.8e+001 9.74e-001 -6.754326271e+002 4.372226601e+002 2.3e-004 2.29 14 2.9e-001 4.0e-001 1.6e+001 1.00e+000 -3.024043121e+002 3.278326399e+002 1.3e-004 2.32 15 9.9e-002 1.6e-001 5.6e+000 9.98e-001 -1.110327520e+001 2.093936430e+002 4.5e-005 2.34 16 8.2e-002 1.3e-001 4.7e+000 1.02e+000 2.586021602e+001 2.073419940e+002 3.8e-005 2.37 17 5.7e-002 9.8e-002 3.3e+000 1.02e+000 6.773520636e+001 1.942307879e+002 2.6e-005 2.40 18 1.6e-002 9.7e-002 9.4e-001 1.02e+000 1.389125815e+002 1.751481040e+002 7.6e-006 2.42 19 5.2e-003 1.7e-001 3.0e-001 1.01e+000 1.579400403e+002 1.694633334e+002 2.4e-006 2.45 20 2.5e-003 1.6e-001 1.5e-001 1.01e+000 1.622280643e+002 1.678387871e+002 1.2e-006 2.48 21 1.2e-003 1.0e-001 7.0e-002 1.01e+000 1.644622413e+002 1.671340979e+002 5.7e-007 2.51 22 4.0e-004 1.1e-001 2.5e-002 1.01e+000 1.657680904e+002 1.667060005e+002 2.0e-007 2.53 23 1.6e-004 9.4e-002 1.0e-002 1.01e+000 1.661600355e+002 1.665442056e+002 8.4e-008 2.56 24 6.2e-005 9.4e-002 3.9e-003 1.01e+000 1.663266165e+002 1.664736081e+002 3.3e-008 2.61 25 2.8e-005 8.3e-002 1.8e-003 1.01e+000 1.663823563e+002 1.664496047e+002 1.5e-008 2.67 26 2.5e-005 7.5e-002 1.6e-003 1.01e+000 1.663878620e+002 1.664484126e+002 1.4e-008 2.68 27 2.3e-005 6.9e-002 1.5e-003 1.01e+000 1.663919403e+002 1.664464175e+002 1.2e-008 2.71 28 2.1e-005 6.3e-002 1.3e-003 1.01e+000 1.663956912e+002 1.664447104e+002 1.1e-008 2.73 29 1.9e-005 5.7e-002 1.2e-003 1.01e+000 1.663990484e+002 1.664431564e+002 9.9e-009 2.75 30 1.7e-005 5.2e-002 1.1e-003 1.01e+000 1.664020664e+002 1.664417561e+002 8.9e-009 2.78 31 1.5e-005 4.8e-002 9.5e-004 1.00e+000 1.664047774e+002 1.664404919e+002 8.0e-009 2.79 32 1.4e-005 4.4e-002 8.6e-004 1.00e+000 1.664072133e+002 1.664393514e+002 7.2e-009 2.81 33 1.2e-005 4.0e-002 7.7e-004 1.00e+000 1.664094022e+002 1.664383223e+002 6.5e-009 2.82 34 1.1e-005 3.7e-002 6.9e-004 1.00e+000 1.664113692e+002 1.664373940e+002 5.8e-009 2.86 35 9.9e-006 3.4e-002 6.2e-004 1.00e+000 1.664131371e+002 1.664365566e+002 5.2e-009 2.89 36 8.9e-006 3.1e-002 5.6e-004 1.00e+000 1.664147261e+002 1.664358014e+002 4.7e-009 2.90 37 8.0e-006 2.9e-002 5.1e-004 1.00e+000 1.664161544e+002 1.664351204e+002 4.2e-009 2.92 38 7.2e-006 2.7e-002 4.6e-004 1.00e+000 1.664174383e+002 1.664345063e+002 3.8e-009 2.93 39 6.5e-006 2.5e-002 4.1e-004 1.00e+000 1.664185925e+002 1.664339525e+002 3.4e-009 2.96 40 5.8e-006 2.3e-002 3.7e-004 1.00e+000 1.664196303e+002 1.664334533e+002 3.1e-009 2.98 41 5.2e-006 2.2e-002 3.3e-004 1.00e+000 1.664205633e+002 1.664330032e+002 2.8e-009 3.00 42 4.7e-006 2.0e-002 3.0e-004 1.00e+000 1.664214021e+002 1.664325975e+002 2.5e-009 3.01 43 4.2e-006 1.9e-002 2.7e-004 1.00e+000 1.664221564e+002 1.664322317e+002 2.3e-009 3.03 44 3.8e-006 1.8e-002 2.4e-004 1.00e+000 1.664228345e+002 1.664319020e+002 2.0e-009 3.04 45 3.4e-006 1.7e-002 2.2e-004 1.00e+000 1.664234443e+002 1.664316047e+002 1.8e-009 3.07 46 3.1e-006 1.6e-002 2.0e-004 1.00e+000 1.664239926e+002 1.664313367e+002 1.6e-009 3.09 47 2.8e-006 1.5e-002 1.8e-004 1.00e+000 1.664244856e+002 1.664310951e+002 1.5e-009 3.10 48 2.5e-006 1.5e-002 1.6e-004 1.00e+000 1.664249290e+002 1.664308774e+002 1.3e-009 3.12 49 2.3e-006 1.4e-002 1.4e-004 1.00e+000 1.664253279e+002 1.664306813e+002 1.2e-009 3.13 50 2.0e-006 1.3e-002 1.3e-004 1.00e+000 1.664256866e+002 1.664305046e+002 1.1e-009 3.15 51 1.8e-006 1.3e-002 1.2e-004 1.00e+000 1.664260093e+002 1.664303454e+002 9.7e-010 3.17 52 1.6e-006 1.2e-002 1.0e-004 1.00e+000 1.664262997e+002 1.664302021e+002 8.8e-010 3.20 53 1.5e-006 1.2e-002 9.4e-005 1.00e+000 1.664265609e+002 1.664300730e+002 7.9e-010 3.21 54 1.3e-006 1.1e-002 8.4e-005 1.00e+000 1.664267958e+002 1.664299567e+002 7.1e-010 3.23 55 1.2e-006 1.1e-002 7.6e-005 1.00e+000 1.664270072e+002 1.664298520e+002 6.4e-010 3.25 56 1.1e-006 1.1e-002 6.8e-005 1.00e+000 1.664271974e+002 1.664297577e+002 5.7e-010 3.26 57 9.7e-007 1.0e-002 6.2e-005 1.00e+000 1.664273685e+002 1.664296727e+002 5.2e-010 3.28 58 8.7e-007 1.0e-002 5.5e-005 1.00e+000 1.664275225e+002 1.664295962e+002 4.7e-010 3.29 59 7.9e-007 9.9e-003 5.0e-005 1.00e+000 1.664276610e+002 1.664295273e+002 4.2e-010 3.31 60 7.1e-007 9.7e-003 4.5e-005 1.00e+000 1.664277856e+002 1.664294653e+002 3.8e-010 3.34 61 6.4e-007 9.5e-003 4.0e-005 1.00e+000 1.664278976e+002 1.664294094e+002 3.4e-010 3.35 62 5.7e-007 9.3e-003 3.6e-005 1.00e+000 1.664279985e+002 1.664293590e+002 3.1e-010 3.37 63 5.2e-007 9.1e-003 3.3e-005 1.00e+000 1.664280892e+002 1.664293136e+002 2.7e-010 3.38 64 4.6e-007 9.0e-003 2.9e-005 1.00e+000 1.664281707e+002 1.664292727e+002 2.5e-010 3.40 65 4.2e-007 8.9e-003 2.6e-005 1.00e+000 1.664282441e+002 1.664292359e+002 2.2e-010 3.43 66 3.8e-007 8.7e-003 2.4e-005 1.00e+000 1.664283101e+002 1.664292028e+002 2.0e-010 3.45 67 3.4e-007 8.6e-003 2.1e-005 1.00e+000 1.664283695e+002 1.664291729e+002 1.8e-010 3.46 68 3.1e-007 8.5e-003 1.9e-005 1.00e+000 1.664284229e+002 1.664291459e+002 1.6e-010 3.49 69 2.7e-007 8.4e-003 1.7e-005 9.99e-001 1.664284710e+002 1.664291217e+002 1.5e-010 3.52 70 2.5e-007 8.3e-003 1.6e-005 1.00e+000 1.664285142e+002 1.664290999e+002 1.3e-010 3.54 71 2.2e-007 8.3e-003 1.4e-005 1.00e+000 1.664285531e+002 1.664290802e+002 1.2e-010 3.57 72 2.0e-007 8.2e-003 1.3e-005 1.00e+000 1.664285881e+002 1.664290625e+002 1.1e-010 3.59 73 1.8e-007 8.1e-003 1.1e-005 1.00e+000 1.664286197e+002 1.664290466e+002 9.6e-011 3.60 74 1.6e-007 8.1e-003 1.0e-005 9.96e-001 1.664286480e+002 1.664290323e+002 8.6e-011 3.63 75 1.5e-007 8.0e-003 9.2e-006 1.00e+000 1.664286735e+002 1.664290194e+002 7.8e-011 3.65 76 1.3e-007 8.0e-003 8.3e-006 1.00e+000 1.664286965e+002 1.664290078e+002 7.0e-011 3.67 77 1.2e-007 7.9e-003 7.5e-006 9.96e-001 1.664287172e+002 1.664289974e+002 6.3e-011 3.68 78 1.1e-007 7.9e-003 6.7e-006 9.99e-001 1.664287358e+002 1.664289880e+002 5.7e-011 3.71 79 9.6e-008 7.8e-003 6.1e-006 9.94e-001 1.664287525e+002 1.664289796e+002 5.1e-011 3.73 80 8.6e-008 7.8e-003 5.5e-006 1.00e+000 1.664287676e+002 1.664289719e+002 4.6e-011 3.74 81 7.8e-008 7.7e-003 4.9e-006 9.77e-001 1.664287811e+002 1.664289652e+002 4.1e-011 3.77 82 7.0e-008 7.7e-003 4.4e-006 9.88e-001 1.664287933e+002 1.664289591e+002 3.7e-011 3.79 83 6.3e-008 7.6e-003 4.0e-006 9.68e-001 1.664288043e+002 1.664289537e+002 3.3e-011 3.81 84 5.7e-008 6.9e-003 3.6e-006 1.00e+000 1.664288142e+002 1.664289486e+002 3.0e-011 3.84 85 5.1e-008 6.9e-003 3.2e-006 9.73e-001 1.664288231e+002 1.664289442e+002 2.7e-011 3.85 86 4.6e-008 6.2e-003 2.9e-006 1.00e+000 1.664288311e+002 1.664289401e+002 2.4e-011 3.87 87 4.2e-008 5.6e-003 2.6e-006 9.36e-001 1.664288383e+002 1.664289365e+002 2.2e-011 3.90 88 3.7e-008 5.0e-003 2.3e-006 9.37e-001 1.664288447e+002 1.664289335e+002 2.0e-011 3.92 89 3.4e-008 4.5e-003 2.1e-006 1.02e+000 1.664288511e+002 1.664289301e+002 1.8e-011 3.93 90 3.0e-008 4.1e-003 1.9e-006 1.10e+000 1.664288587e+002 1.664289258e+002 1.7e-011 3.98 91 2.7e-008 3.6e-003 1.7e-006 9.93e-001 1.664288632e+002 1.664289236e+002 1.5e-011 3.99 92 2.5e-008 3.3e-003 1.5e-006 1.02e+000 1.664288676e+002 1.664289214e+002 1.4e-011 4.01 93 2.2e-008 3.0e-003 1.4e-006 1.05e+000 1.664288719e+002 1.664289191e+002 1.3e-011 4.04 94 2.1e-008 2.7e-003 1.2e-006 1.07e+000 1.664288760e+002 1.664289169e+002 1.2e-011 4.06 95 1.9e-008 2.4e-003 1.1e-006 9.82e-001 1.664288787e+002 1.664289156e+002 1.1e-011 4.07 96 1.7e-008 2.2e-003 1.0e-006 1.31e+000 1.664288812e+002 1.664289144e+002 9.6e-012 4.10 97 1.5e-008 1.9e-003 9.1e-007 9.59e-001 1.664288834e+002 1.664289135e+002 8.6e-012 4.12 98 1.5e-008 1.7e-003 8.2e-007 1.18e+000 1.664288870e+002 1.664289113e+002 8.5e-012 4.13 99 1.4e-008 1.6e-003 7.4e-007 1.04e+000 1.664288889e+002 1.664289104e+002 7.8e-012 4.17 100 1.3e-008 1.4e-003 6.6e-007 8.40e-001 1.664288904e+002 1.664289098e+002 7.0e-012 4.18 101 1.5e-008 1.3e-003 6.0e-007 1.15e+000 1.664288926e+002 1.664289085e+002 6.8e-012 4.21 102 1.3e-008 1.1e-003 5.4e-007 1.23e+000 1.664288937e+002 1.664289080e+002 6.1e-012 4.23 103 1.3e-008 1.0e-003 4.8e-007 1.33e+000 1.664288947e+002 1.664289074e+002 5.5e-012 4.26 104 1.2e-008 9.3e-004 4.4e-007 8.02e-001 1.664288955e+002 1.664289071e+002 4.9e-012 4.27 105 1.2e-008 8.3e-004 3.9e-007 5.19e-001 1.664288963e+002 1.664289069e+002 4.4e-012 4.29 106 1.5e-008 7.5e-004 3.5e-007 1.06e+000 1.664288972e+002 1.664289064e+002 4.1e-012 4.32 107 1.4e-008 6.8e-004 3.2e-007 1.01e+000 1.664288978e+002 1.664289061e+002 3.7e-012 4.34 108 1.3e-008 6.1e-004 2.9e-007 6.72e-001 1.664288984e+002 1.664289059e+002 3.3e-012 4.35 109 1.5e-008 5.5e-004 2.6e-007 2.05e+000 1.664288990e+002 1.664289054e+002 3.0e-012 4.38 110 1.8e-008 4.9e-004 2.3e-007 2.39e+000 1.664288995e+002 1.664289049e+002 2.7e-012 4.40 111 1.8e-008 4.4e-004 2.1e-007 7.85e-001 1.664288999e+002 1.664289048e+002 2.4e-012 4.43 112 2.1e-008 4.0e-004 1.9e-007 1.97e+000 1.664289003e+002 1.664289046e+002 2.1e-012 4.45 113 1.6e-008 3.6e-004 1.7e-007 1.55e+000 1.664289007e+002 1.664289044e+002 1.9e-012 4.48 114 2.3e-008 3.2e-004 1.8e-007 1.00e+000 1.664289003e+002 1.664289043e+002 1.7e-012 4.49 115 2.0e-008 2.9e-004 1.6e-007 1.27e+000 1.664289006e+002 1.664289042e+002 1.5e-012 4.51 116 6.3e-009 4.8e-005 2.7e-008 2.72e-001 1.664289032e+002 1.664289040e+002 5.1e-013 4.54 Interior-point optimizer terminated. Time: 4.54. Optimizer terminated. Time: 4.57 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6642890317e+002 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.6642890402e+002 Viol. con: 0e+000 var: 3e-004 * End solution on dual form. * Transforming to primal solution. Solving took 4.6 seconds. Solving took 9 GP solves and 70.9 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: [-92.79836557] Total Aircraft Weight Percent Diff: [-21.81322271] Engine Weight Percent Diff: -58.00913642697622 Fuselage Weight Percent Diff: -0.8731963359586395 Payload Weight Percent Diff: [-0.04003559] VT Weight Percent Diff: -9.53451436325911 HT Weight Percent Diff: -92.86213783681897 Wing Weight Percent Diff: 7.693469113220424 WING DIFFERENCES Wing Span Percent Diff: -0.02999382753275366 Wing Area Percent Diff: 33.302695877482535 HORIZONTAL TAIL DIFFERENCES HT Area Percent Diff: 40.74135386026326 VERTICAL TAIL DIFFERENCES VT Span Percent Diff: -11.32410873568736 VT Area Percent Diff: -60.65507659443465 CRUISE SEGMENT 1 DRAG DIFFERENCES Overall Cd Percent Diff: [-19.05122775] L/D Percent Diff: [24.01285738] Nacelle Cd Percent Diff: [-94.54382638] HT Cd Percent Diff: [-80.41786506] dimensionless Fuselage Cd Percent Diff: [108.78752887] VT Cd Percent Diff: [-58.4444053] dimensionless Wing Cd percent Diff: [-14.66039457] Induced Drag Cd Percent Diff: [0.26572791] CRUISE SEGMENT 1 TSFC DIFFERENCES Initial Cruise TSFC Percent Diff: [-90.34217832] FUSELAGE DIFFERENCES Weight of HB material: -38.21509186170886 Weight of VB material: 87.6886793373728 Fan Propulsive Efficiency in Cruise Segment 1 --------------------- [0.70524508] Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 78.516s 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 d:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in d:\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-hobdv4 Running command git clone -q https://github.com/convexengineering/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-hobdv4' Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in d:\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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-h7un7x\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-lrgyrb Running command git clone -q https://github.com/convexengineering/gassolar.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-lrgyrb' Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in d:\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gassolar==0.0.0.0) (0.9.0.1) Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in d:\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 d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0) Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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): still running... Building wheel for gassolar (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-uhvdvv\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 d:\jenkins\workspace\gplibrary_pr_models\mosek\solar Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from solar==0.0.0.0) (0.9.0.1) Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (from solar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in d:\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages (from solar==0.0.0.0) (0.1) Requirement already satisfied: gpkitmodels in d:\jenkins\workspace\gplibrary_pr_models\mosek (from solar==0.0.0.0) (0.0.0.0) Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.11.0) Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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-ng9bqd\wheels\9f\ae\a9\52e286ff9ea1428d6dd1e8c6df0d12b22c44363d9dcc1dd331 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 1.75 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 1632916.9409 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 1259333.2946 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 1.83 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 1036204.4230 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 1006645.3413 but bound is 1000000.0000 Beginning signomial solve. Solving took 7 GP solves and 2.59 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 989673.4622 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 2.33 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 1042059.4014 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.87 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 1007400.4711 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 1092545.5044 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.31 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 1119121.2012 but bound is 600000.0000 Beginning signomial solve. Solving took 5 GP solves and 1.54 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 1632916.9409 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 1259333.2946 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 1.86 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 1036204.4247 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 1006645.3422 but bound is 1000000.0000 Beginning signomial solve. Solving took 7 GP solves and 2.46 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 989673.4623 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 1019678.5274 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.63 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 1042059.4014 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.23 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 1007400.4711 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 1092545.5044 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.35 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 1119121.2012 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.72 seconds. Allowing negative dual variable(s) as small as -1.5069963668883773e-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 671709.7362 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.34 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 1.2812 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 729183.6153 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.59 seconds. Allowing negative dual variable(s) as small as -4.731498075477728e-14. 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 802959.5989 but bound is 600000.0000 Using solver 'mosek' Solving for 7672 variables. Solving took 2.62 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 1.2008 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 Using solver 'mosek' Solving for 14852 variables. Solving took 5.03 seconds. Allowing negative dual variable(s) as small as -1.496786884973983e-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 671709.7359 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.56 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 1.2812 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 729183.6156 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.45 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 1.2258 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 802959.6015 but bound is 600000.0000 Using solver 'mosek' Solving for 7672 variables. Solving took 2.31 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 1.2008 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 1.33 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 1119121.2012 but bound is 600000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.19 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 1119121.2013 but bound is 600000.0000 Running tests... ---------------------------------------------------------------------- D:\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) ..D:\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) D:\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 310.629s OK Generating XML reports... Cloning into 'gplibrary'... Checking out files: 94% (131/138) Checking out files: 95% (132/138) Checking out files: 96% (133/138) Checking out files: 97% (134/138) Checking out files: 98% (136/138) Checking out files: 99% (137/138) Checking out files: 100% (138/138) Checking out files: 100% (138/138), 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. Requirement already satisfied: pandas in d:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in d:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in d:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in d:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in d:\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-5pf26j Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-5pf26j' Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in d:\jenkins\workspace\gplibrary_pr_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in d:\jenkins\workspace\gplibrary_pr_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in d:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in d:\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 d:\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-m8_zyr\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 d:\jenkins\workspace\gplibrary_pr_models\mosek\gplibrary Requirement already satisfied: numpy>=1.12 in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in d:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in d:\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-jgu_35\wheels\4a\da\60\bea5372bf288606a399bdc749979f532f5aff24f4c362a9887 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 0.03 seconds. Using solver 'mosek_cli' Solving for 11 variables. Solving took 0.133 seconds. Using solver 'mosek' Solving for 9 variables. Solving took 0.028 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.028 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.022 seconds. Beginning signomial solve. Solving took 16 GP solves and 1.29 seconds. Using solver 'mosek_cli' Solving for 9 variables. Solving took 0.081 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.123 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.151 seconds. Beginning signomial solve. Solving took 16 GP solves and 3.78 seconds. Using solver 'mosek' Solving for 13 variables. Solving took 0.148 seconds. Beginning signomial solve. Solving took 11 GP solves and 0.853 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 1619896.7470 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 2.53 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 2220953.3481 but bound is 1000000.0000 Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499787.9721 but bound is 1000000.0000 Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 2223878.3856 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 1884891.2729 but bound is 700000.0000 Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910419.4978 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 0.024 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.023 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 0.024 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.024 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.023 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.024 seconds. Solving took 6 GP solves and 0.298 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.118 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.155 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 0.179 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.137 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.251 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.173 seconds. Solving took 6 GP solves and 1.23 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 240 variables. Solving took 0.071 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.042 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 0.038 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 0.036 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.042 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.038 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.041 seconds. Solving took 7 GP solves and 0.696 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.162 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.179 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 0.19 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 0.208 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.189 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.21 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.196 seconds. Solving took 7 GP solves and 1.8 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 20 variables. Solving took 0.051 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.026 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.023 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.023 seconds. Solving took 4 GP solves and 0.136 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.094 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.091 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.184 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.13 seconds. Solving took 4 GP solves and 0.516 seconds. Running tests... ---------------------------------------------------------------------- ..D:\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 21.362s OK Generating XML reports... Cloning into 'eVTOL'... 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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 81.901s OK (venv2_gpkit) (base) D:\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 'D:\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