Started by upstream project "gplibrary_Push_Models" build number 171 originally caused by: Started by upstream project "gpkit_Push" build number 638 originally caused by: Started by user galbramc Running as galbramc [EnvInject] - Loading node environment variables. Building remotely on windows10x64 in workspace C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek No credentials specified Wiping out workspace first. Cloning the remote Git repository Cloning repository https://github.com/convexengineering/gplibrary > C:\Program Files\Git\cmd\git init C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > C:\Program Files\Git\cmd\git --version # timeout=10 > C:\Program Files\Git\cmd\git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/heads/*:refs/remotes/origin/* # timeout=10 > C:\Program Files\Git\cmd\git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 > C:\Program Files\Git\cmd\git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10 > C:\Program Files\Git\cmd\git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > C:\Program Files\Git\cmd\git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10 Checking out Revision 9ef01e9a942f045dffd79894476795cdcb13fd00 (origin/master) > C:\Program Files\Git\cmd\git config core.sparsecheckout # timeout=10 > C:\Program Files\Git\cmd\git checkout -f 9ef01e9a942f045dffd79894476795cdcb13fd00 # timeout=3 Commit message: "SimPleAC versions (#172)" > C:\Program Files\Git\cmd\git rev-list --no-walk 9ef01e9a942f045dffd79894476795cdcb13fd00 # timeout=10 Run condition [Execution node ] enabling prebuild for step [Execute shell] Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command] [Execution node] check if [windows10x64] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]] Run condition [Execution node ] preventing perform for step [Execute shell] [Execution node] check if [windows10x64] is in [[windows10x64, windows7x64]] Run condition [Execution node ] enabling perform for step [Execute Windows batch command] [mosek] $ cmd /c call C:\Users\jenkins\AppData\Local\Temp\jenkins8037635619454360622.bat C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>echo C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM turn on the anaconda console C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>call activate.bat || exit /b 666 (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Create a virtualenv to install everything into (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>SET VENV=C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>virtualenv --system-site-packages C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit || exit /b 666 New python executable in C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts\python.exe Installing setuptools, pip, wheel...done. (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>call C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts\activate.bat || exit /b 666 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>set PATH=C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts;C:\Anaconda2;C:\Anaconda2\Library\mingw-w64\bin;C:\Anaconda2\Library\usr\bin;C:\Anaconda2\Library\bin;C:\Anaconda2\Scripts;C:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM set PATH=C:\mingw-w64\x86_64-7.3.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts;C:\Anaconda2;C:\Anaconda2\Library\mingw-w64\bin;C:\Anaconda2\Library\usr\bin;C:\Anaconda2\Library\bin;C:\Anaconda2\Scripts;C:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>gcc --version gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 6.4.0 Copyright (C) 2017 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Update pip (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -m pip install --upgrade pip DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already up-to-date: pip in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (19.1.1) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Install dependencies (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade xmlrunner 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: xmlrunner in c:\anaconda2\lib\site-packages (1.7.7) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade pint 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: pint in c:\anaconda2\lib\site-packages (0.9) Requirement already satisfied, skipping upgrade: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint) (1.0.2) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade numpy 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: numpy in c:\anaconda2\lib\site-packages (1.16.4) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade scipy 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 scipy Using cached https://files.pythonhosted.org/packages/49/73/22e125f335986fdc3b03c09cdf8ffe0d9d5471eec301aeb2e33db78b3e7f/scipy-1.2.2-cp27-cp27m-win_amd64.whl Requirement already satisfied, skipping upgrade: numpy>=1.8.2 in c:\anaconda2\lib\site-packages (from scipy) (1.16.4) Installing collected packages: scipy Found existing installation: scipy 1.2.1 Not uninstalling scipy at c:\anaconda2\lib\site-packages, outside environment c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit Can't uninstall 'scipy'. No files were found to uninstall. Successfully installed scipy-1.2.2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade ctypesgen 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: ctypesgen in c:\anaconda2\lib\site-packages (0.post125) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade pandas 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: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied, skipping upgrade: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied, skipping upgrade: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied, skipping upgrade: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied, skipping upgrade: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade matplotlib 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: matplotlib in c:\anaconda2\lib\site-packages (2.2.4) Requirement already satisfied, skipping upgrade: backports.functools-lru-cache in c:\anaconda2\lib\site-packages (from matplotlib) (1.4) Requirement already satisfied, skipping upgrade: six>=1.10 in c:\anaconda2\lib\site-packages (from matplotlib) (1.11.0) Requirement already satisfied, skipping upgrade: pytz in c:\anaconda2\lib\site-packages (from matplotlib) (2017.3) Requirement already satisfied, skipping upgrade: cycler>=0.10 in c:\anaconda2\lib\site-packages (from matplotlib) (0.10.0) Requirement already satisfied, skipping upgrade: kiwisolver>=1.0.1 in c:\anaconda2\lib\site-packages (from matplotlib) (1.0.1) Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in c:\anaconda2\lib\site-packages (from matplotlib) (2.6.1) Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\anaconda2\lib\site-packages (from matplotlib) (2.2.0) Requirement already satisfied, skipping upgrade: numpy>=1.7.1 in c:\anaconda2\lib\site-packages (from matplotlib) (1.16.4) Requirement already satisfied, skipping upgrade: setuptools in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from kiwisolver>=1.0.1->matplotlib) (41.0.1) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == mosek msktestlic || exit /b 666 Problem Name : Objective sense : min Type : LO (linear optimization problem) Constraints : 1 Cones : 0 Scalar variables : 5000 Matrix variables : 0 Integer variables : 0 Optimizer started. Mosek license manager: License path: C:\Users\jenkins\mosek\mosek.lic Mosek license manager: Checkout license feature 'PTS' from flexlm. Mosek license manager: Checkout time 0.02. r: 0 status: 0 Interior-point optimizer started. Presolve started. Eliminator started. Freed constraints in eliminator : 0 Eliminator terminated. Eliminator - tries : 1 time : 0.00 Lin. dep. - tries : 0 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.00 Interior-point optimizer terminated. Time: 0.00. Optimizer terminated. Time: 0.05 ************************************ A license was checked out correctly. ************************************ (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>SET GPKITBUILD=C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>gcc --version || exit /b 666 gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 6.4.0 Copyright (C) 2017 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == mosek ( msktestlic || exit /b 666 python -c "__import__('mosek').Env()" || exit /b 666 set GPKITSOLVERS=mosek, mosek_cli ) Problem Name : Objective sense : min Type : LO (linear optimization problem) Constraints : 1 Cones : 0 Scalar variables : 5000 Matrix variables : 0 Integer variables : 0 Optimizer started. Mosek license manager: License path: C:\Users\jenkins\mosek\mosek.lic Mosek license manager: Checkout license feature 'PTS' from flexlm. Mosek license manager: Checkout time 0.00. r: 0 status: 0 Interior-point optimizer started. Presolve started. Eliminator started. Freed constraints in eliminator : 0 Eliminator terminated. Eliminator - tries : 1 time : 0.00 Lin. dep. - tries : 0 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Interior-point optimizer terminated. Time: 0.02. Optimizer terminated. Time: 0.03 ************************************ A license was checked out correctly. ************************************ (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == cvxopt ( pip install --upgrade cvxopt || exit /b 666 set GPKITSOLVERS=cvxopt ) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import scipy; print scipy.__version__" || exit /b 666 1.2.2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import numpy; print numpy.__version__" || exit /b 666 1.16.4 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import pint; print pint.__version__" || exit /b 666 0.9 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Install gpkit to run the documentation examples (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>git clone --depth 1 https://github.com/convexengineering/gpkit.git || exit /b 666 Cloning into 'gpkit'... (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install -e C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\gpkit || exit /b 666 DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Obtaining file:///C:/Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit Requirement already satisfied: numpy>=1.12.1 in c:\anaconda2\lib\site-packages (from gpkit==0.8.0.0) (1.16.4) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit==0.8.0.0) (0.9) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gpkit==0.8.0.0) (1.2.2) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit==0.8.0.0) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit==0.8.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit==0.8.0.0) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit==0.8.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit==0.8.0.0) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit==0.8.0.0) (2018.0.0) Installing collected packages: gpkit Running setup.py develop for gpkit Successfully installed gpkit (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install -e C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek || exit /b 666 DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Obtaining file:///C:/Users/jenkins/workspace/gplibrary_Push_Models/mosek Requirement already satisfied: numpy>=1.12 in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2) Installing collected packages: gpkitmodels Running setup.py develop for gpkitmodels Successfully installed gpkitmodels (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Show the settings file (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM type C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\gpkit\env\settings (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM dir C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Limit number of threads that be can used (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>set MSK_IPAR_NUM_THREADS=2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>set MKL_NUM_THREADS=2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>set NUMEXPR_NUM_THREADS=2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>set OPENBLAS_NUM_THREADS=2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>set OMP_NUM_THREADS=2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)" || exit /b 666 No filename given. Usage: mskexpopt FILENAME [-primal] [-dual] [-p parameterfile] Return code: 1052 Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.] ............................................................................................................................................................................................................................................Found no installed solvers, beginning a build. # Moving to the directory from which GPkit was imported. Started building gpkit... Attempting to find and build solvers: # Looking for mosek # Found C:\Program Files\Mosek\8\tools\platform\win64x86\h\mosek.h # Found C:\Program Files\Mosek\8\tools\platform\win64x86\bin\mosek64_8_0.dll # Found C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.c # Found C:\Program Files\Mosek\8\tools\examples\c\expopt.c # Found C:\Program Files\Mosek\8\tools\examples\c\dgopt.c # Found C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.h # Found C:\Program Files\Mosek\8\tools\examples\c\expopt.h # Found C:\Program Files\Mosek\8\tools\examples\c\dgopt.h # Found C:\Program Files\Mosek\8\tools\platform\win64x86\h\mosek.h # Found mosek version 8, installed to C:\Program Files\Mosek # # Building mosek... # Replacing directory _mosek\lib # Replacing directory _mosek\build # Replacing directory C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit # # Copying expopt library files to _mosek\build # Copying C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.c # Copying C:\Program Files\Mosek\8\tools\examples\c\expopt.c # Copying C:\Program Files\Mosek\8\tools\examples\c\dgopt.c # Copying C:\Program Files\Mosek\8\tools\examples\c\scopt-ext.h # Copying C:\Program Files\Mosek\8\tools\examples\c\expopt.h # Copying C:\Program Files\Mosek\8\tools\examples\c\dgopt.h # Copying C:\Program Files\Mosek\8\tools\platform\win64x86\h\mosek.h # # Applying expopt patches... # # Change in _mosek\build\dgopt.con line 653 # -- printf("Number of Hessian non-zeros: %d\n",nlh[0]->numhesnz); # ++ MSK_echotask(task,MSK_STREAM_MSG,"Number of Hessian non-zeros: %d\n",n # # Change in _mosek\build\expopt.con line 566 # -- printf("Warning: The variable with index '%d' has only positiv # ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in # # Change in _mosek\build\expopt.con line 579 # -- printf("Warning: The variable with index '%d' has only negativ # ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "Warning: The variable with in # # Change in _mosek\build\expopt.con line 1115 # -- printf ("solsta = %d, prosta = %d\n", (int)*solsta,(int)*prosta); # ++ MSK_echotask(expopttask,MSK_STREAM_MSG, "solsta = %d, prosta = %d\n", # # Building expopt library... # Calling 'gcc -fpic -shared -Wl,--export-all-symbols,-R "C:\Program Files\Mosek\8\tools\platform\win64x86\bin" _mosek\build\scopt-ext.c _mosek\build\expopt.c _mosek\build\dgopt.c "C:\Program Files\Mosek\8\tools\platform\win64x86\bin\mosek64_8_0.dll" -o C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit\expopt.so' ## ### CALL BEGINS ### CALL ENDS ## # # Building Python bindings for expopt and Mosek... # (if this fails on Windows, verify the mingw version) # Calling 'python modified_ctypesgen.py -a -l C:/Users/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit/expopt.so -l "C:/Program Files/Mosek/8/tools/platform/win64x86/bin/mosek64_8_0.dll" -o _mosek\lib\expopt_h.py _mosek\build\expopt.h' ## ### CALL BEGINS ### CALL ENDS ## # Done building mosek # Looking for mosek_cli # Trying to run mskexpopt... # Calling 'mskexpopt' ## ### CALL BEGINS ### CALL ENDS ## # Found mosek_cli in system path # Looking for cvxopt # Trying to import cvxopt... # Found cvxopt in Python path ...finished building gpkit. Replaced found solvers (['mosek', 'mosek_cli', 'cvxopt']) with environment var GPKITSOLVERS (mosek, mosek_cli) Found the following solvers: mosek, mosek_cli # Replacing directory env GPkit is now installed with solver(s) ['mosek', 'mosek_cli'] To incorporate new solvers at a later date, run `gpkit.build()`. If any tests didn't pass, please post the output above (starting from "Found no installed solvers, beginning a build.") to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new so we can prevent others from having these errors. TCloning into 'gplibrary'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Obtaining file:///C:/Users/jenkins/workspace/gplibrary_Push_Models/mosek/gplibrary 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 6.69 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 5.95 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 1.53 seconds. Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 14.375s OK Generating XML reports... Cloning into 'gassolar'... 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DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-jsbcxm Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-jsbcxm' Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-b6itdj\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f Successfully built gpfit Installing collected packages: gpfit Successfully installed gpfit-0.1 DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\gassolar Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gassolar==0.0.0.0) (0.8.0.0) Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.11.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Building wheels for collected packages: gassolar Building wheel for gassolar (setup.py): started Building wheel for gassolar (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-g_4avf\wheels\95\38\e2\630b51ba3ee1e38d37bf3cd22a20cd03537fec13097d39793c 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 592 variables. Solving took 0.553 seconds. Warning: Variable [P_{shaft-max}_Mission/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total}_Mission/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Beginning signomial solve. Solving took 4 GP solves and 1.16 seconds. Warning: Variable [P_{shaft-max}_Mission.1/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total}_Mission.1/Cl could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Using solver 'mosek' Solving for 592 variables. Solving took 3.12 seconds. Warning: Variable [P_{shaft-max}_Mission/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total}_Mission/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Beginning signomial solve. Solving took 4 GP solves and 2.28 seconds. Warning: Variable [P_{shaft-max}_Mission.1/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total}_Mission.1/Cl could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Using solver 'mosek' Solving for 1250 variables. Solving took 0.406 seconds. Warning: Variable Re_Mission/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/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.3827 but bound is 150000.0000 Beginning signomial solve. Solving took 4 GP solves and 3.09 seconds. Warning: Variable Re_Mission.1/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103379.4303 but bound is 150000.0000 Warning: Variable Re_Mission.1/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.0862 but bound is 150000.0000 Using solver 'mosek_cli' Solving for 1250 variables. Solving took 0.593 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 3.38 seconds. Warning: Variable Re_Mission.1/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000 Warning: Variable Re_Mission.1/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000 Running tests... ---------------------------------------------------------------------- c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ..C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) .. ---------------------------------------------------------------------- Ran 4 tests in 37.361s OK Generating XML reports... Cloning into 'jho'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-hhvwgu Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-hhvwgu' Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-x4xlsv\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f Successfully built gpfit adding test for 'model/jho.py' adding test for 'model/print_perf.py' Beginning signomial solve. Allowing negative dual variable(s) as small as -2.4833043607563887e-13. Solving took 4 GP solves and 3.96 seconds. Beginning signomial solve. Allowing negative dual variable(s) as small as -1.2972045312920066e-13. Solving took 4 GP solves and 3.72 seconds. Allowing negative dual variable(s) as small as -2.923473095550744e-13. Allowing negative dual variable(s) as small as -1.19580175839476e-12. MTOW [lbs] = 141.77 Zero fuel weight [lbs] = 53.80 Wing span [ft] = 24.00 Aicraft length [ft] = 12.90 Aspect ratio = 25.60 mean aerodynamic chord [ft] = 0.9722 root chord [ft] = 1.250 speed for best rate of climb [m/s]: Vy = 21.829 speed at top of climb [m/s] = 26.626 design loiter speed [m/s] = 25.071 rotation speed at 55 lbs [m/s] = 18.185 rotation speed at 150 lbs [m/s] = 28.236 Allowing negative dual variable(s) as small as -1.197392174561579e-12. optimum loiter speed for min power, start of loiter [m/s] = 25.356 optimum loiter speed for min power, end of loiter [m/s] = 25.000 optimum cruise speed, inbound [m/s] = 36.421 optimum cruise speed, outbound [m/s] = 25.637 Beginning signomial solve. Allowing negative dual variable(s) as small as -7.171161591221169e-12. Solving took 4 GP solves and 3.42 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 2.52 seconds. Max payload weight [lbf] = 28.242 Max take off weight [lbf] = 166.638 Allowing negative dual variable(s) as small as -2.901932166787802e-13. Allowing negative dual variable(s) as small as -1.1967074466795458e-12. MTOW [lbs] = 141.77 Zero fuel weight [lbs] = 53.80 Wing span [ft] = 24.00 Aicraft length [ft] = 12.90 Aspect ratio = 25.60 mean aerodynamic chord [ft] = 0.9722 root chord [ft] = 1.250 speed for best rate of climb [m/s]: Vy = 21.829 speed at top of climb [m/s] = 26.626 design loiter speed [m/s] = 25.071 rotation speed at 55 lbs [m/s] = 18.185 rotation speed at 150 lbs [m/s] = 28.236 Allowing negative dual variable(s) as small as -1.1961761876150279e-12. optimum loiter speed for min power, start of loiter [m/s] = 25.356 optimum loiter speed for min power, end of loiter [m/s] = 25.000 optimum cruise speed, inbound [m/s] = 36.421 optimum cruise speed, outbound [m/s] = 25.637 Beginning signomial solve. Allowing negative dual variable(s) as small as -7.17106552748085e-12. Solving took 4 GP solves and 2.38 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 1.52 seconds. Max payload weight [lbf] = 28.242 Max take off weight [lbf] = 166.638 Running tests... ---------------------------------------------------------------------- c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) .... ---------------------------------------------------------------------- Ran 4 tests in 45.599s OK Generating XML reports... Cloning into 'turbofan'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\turbofan Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2) Building wheels for collected packages: turbofan Building wheel for turbofan (setup.py): started Building wheel for turbofan (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-7bcy_v\wheels\7b\40\30\4aa98f5cada80ce63826f61579e311393aa95c9b1f49e05444 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 339 variables. Solving took 0.266 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.328 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.125 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.094 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.109 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.156 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.14 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.188 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.172 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.094 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.172 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.188 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.125 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.172 seconds. Solving took 14 GP solves and 3.33 seconds. Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 4.000s 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-5vke6s Running command git clone -q https://github.com/hoburg/turbofan.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-5vke6s' Requirement already satisfied (use --upgrade to upgrade): turbofan==0.0.0.0 from git+https://github.com/hoburg/turbofan.git in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2) Building wheels for collected packages: turbofan Building wheel for turbofan (setup.py): started Building wheel for turbofan (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-ksfhgv\wheels\49\e6\3a\5de0d21c0f148404ea8d883f76e050c82d4e9a0e6f59ce69a5 Successfully built turbofan DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\spaircraft Requirement already satisfied: turbofan in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from SPaircraft==0.0.0) (0.0.0.0) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from SPaircraft==0.0.0) (0.8.0.0) Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan->SPaircraft==0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0) Building wheels for collected packages: SPaircraft Building wheel for SPaircraft (setup.py): started Building wheel for SPaircraft (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-k7srea\wheels\74\2d\b7\7973d0e97a57640eeff183d12dd9e9522d1bc19358b8bacf06 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 1775 variables. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3512 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.58e+005 Factor - dense dim. : 0 flops : 3.27e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.240061904e+005 2.000000000e+000 1.0e+000 0.06 1 1.6e+003 2.1e+003 8.9e+004 -9.71e-001 -1.232324858e+005 2.677987533e+000 7.2e-001 0.11 2 8.2e+002 1.1e+003 4.5e+004 -9.59e-001 -1.206508706e+005 5.017202361e+000 3.6e-001 0.14 3 2.9e+002 3.8e+002 1.6e+004 -9.16e-001 -1.118924434e+005 2.114234465e+001 1.3e-001 0.19 4 2.9e+002 3.8e+002 1.6e+004 -7.70e-001 -1.096330255e+005 1.986858000e+003 1.3e-001 0.22 5 1.2e+002 1.5e+002 6.4e+003 -7.60e-001 -8.741625673e+004 6.475474848e+003 5.2e-002 0.27 6 3.9e+001 5.1e+001 2.1e+003 -4.38e-001 -4.739537239e+004 1.096685651e+004 1.7e-002 0.30 7 2.2e+001 2.9e+001 1.2e+003 2.26e-001 -3.133625480e+004 7.510911198e+003 9.9e-003 0.34 8 9.5e+000 1.2e+001 5.2e+002 5.25e-001 -1.438435737e+004 4.407963030e+003 4.2e-003 0.38 9 5.6e+000 7.4e+000 3.1e+002 8.24e-001 -8.560386462e+003 2.858040039e+003 2.5e-003 0.42 10 1.7e+000 2.2e+000 9.1e+001 9.12e-001 -2.338654577e+003 1.113782088e+003 7.4e-004 0.47 11 7.1e-001 9.2e-001 3.9e+001 9.94e-001 -8.971498269e+002 5.944210722e+002 3.2e-004 0.52 12 5.2e-001 6.8e-001 2.9e+001 9.96e-001 -6.078312011e+002 4.920225123e+002 2.4e-004 0.56 13 4.3e-001 8.1e-001 2.4e+001 9.77e-001 -4.772231238e+002 4.349804455e+002 1.9e-004 0.61 14 2.3e-001 4.3e-001 1.3e+001 9.91e-001 -1.709291536e+002 3.173086597e+002 1.0e-004 0.64 15 1.0e-001 2.2e-001 5.6e+000 9.92e-001 1.309459709e+001 2.313040770e+002 4.7e-005 0.67 16 2.9e-002 1.8e-001 1.7e+000 9.95e-001 1.179798096e+002 1.820386283e+002 1.4e-005 0.70 17 9.5e-003 1.3e-001 5.6e-001 9.96e-001 1.473049406e+002 1.691059063e+002 4.8e-006 0.73 18 1.9e-003 1.4e-001 1.2e-001 1.00e+000 1.594042752e+002 1.639540604e+002 1.0e-006 0.77 19 1.3e-003 1.1e-001 7.9e-002 1.00e+000 1.604940093e+002 1.635424054e+002 6.9e-007 0.80 20 1.1e-003 1.1e-001 6.8e-002 9.71e-001 1.608352585e+002 1.631925191e+002 6.0e-007 0.83 21 3.6e-004 7.5e-002 2.4e-002 4.71e-001 1.619804131e+002 1.628925643e+002 2.1e-007 0.88 22 3.3e-004 6.9e-002 2.2e-002 8.99e-001 1.620698062e+002 1.629016358e+002 2.0e-007 0.92 23 3.0e-004 6.5e-002 2.0e-002 9.94e-001 1.621297043e+002 1.628852625e+002 1.8e-007 0.95 24 2.7e-004 6.1e-002 1.8e-002 1.00e+000 1.621841888e+002 1.628636400e+002 1.7e-007 0.98 25 2.5e-004 5.5e-002 1.6e-002 1.00e+000 1.622325411e+002 1.628440353e+002 1.5e-007 1.03 26 2.2e-004 5.0e-002 1.5e-002 1.00e+000 1.622760674e+002 1.628263872e+002 1.3e-007 1.06 27 2.0e-004 4.6e-002 1.3e-002 1.00e+000 1.623152384e+002 1.628105059e+002 1.2e-007 1.09 28 1.8e-004 4.2e-002 1.2e-002 1.00e+000 1.623504893e+002 1.627962120e+002 1.1e-007 1.14 29 1.6e-004 3.9e-002 1.1e-002 1.00e+000 1.623822131e+002 1.627833475e+002 9.8e-008 1.17 30 1.5e-004 3.6e-002 9.7e-003 1.00e+000 1.624107630e+002 1.627717699e+002 8.8e-008 1.20 31 1.3e-004 3.3e-002 8.7e-003 1.00e+000 1.624364565e+002 1.627613504e+002 7.9e-008 1.23 32 1.2e-004 3.0e-002 7.8e-003 1.00e+000 1.624595795e+002 1.627519733e+002 7.1e-008 1.26 33 1.1e-004 2.8e-002 7.0e-003 1.00e+000 1.624803890e+002 1.627435342e+002 6.4e-008 1.31 34 9.6e-005 2.6e-002 6.3e-003 1.00e+000 1.624991164e+002 1.627359390e+002 5.8e-008 1.34 35 8.6e-005 2.4e-002 5.7e-003 1.00e+000 1.625159698e+002 1.627291033e+002 5.2e-008 1.39 36 7.7e-005 2.2e-002 5.1e-003 1.00e+000 1.625311368e+002 1.627229510e+002 4.7e-008 1.44 37 7.0e-005 2.1e-002 4.6e-003 1.00e+000 1.625447860e+002 1.627174137e+002 4.2e-008 1.48 38 6.3e-005 2.0e-002 4.2e-003 1.00e+000 1.625570692e+002 1.627124298e+002 3.8e-008 1.51 39 5.6e-005 1.8e-002 3.7e-003 1.00e+000 1.625681231e+002 1.627079439e+002 3.4e-008 1.58 40 5.1e-005 1.7e-002 3.4e-003 1.00e+000 1.625780707e+002 1.627039063e+002 3.1e-008 1.61 41 4.6e-005 1.6e-002 3.0e-003 1.00e+000 1.625870228e+002 1.627002721e+002 2.8e-008 1.66 42 4.1e-005 1.5e-002 2.7e-003 1.00e+000 1.625950789e+002 1.626970010e+002 2.5e-008 1.70 43 3.7e-005 1.5e-002 2.5e-003 1.00e+000 1.626023287e+002 1.626940566e+002 2.2e-008 1.75 44 3.3e-005 1.4e-002 2.2e-003 1.00e+000 1.626088530e+002 1.626914065e+002 2.0e-008 1.80 45 3.0e-005 1.3e-002 2.0e-003 1.00e+000 1.626147242e+002 1.626890210e+002 1.8e-008 1.84 46 2.7e-005 1.3e-002 1.8e-003 1.00e+000 1.626200079e+002 1.626868738e+002 1.6e-008 1.89 47 2.4e-005 1.2e-002 1.6e-003 1.00e+000 1.626247627e+002 1.626849410e+002 1.5e-008 1.94 48 2.2e-005 1.2e-002 1.5e-003 1.00e+000 1.626290415e+002 1.626832012e+002 1.3e-008 1.98 49 2.0e-005 1.1e-002 1.3e-003 1.00e+000 1.626328921e+002 1.626816350e+002 1.2e-008 2.02 50 1.8e-005 1.1e-002 1.2e-003 1.00e+000 1.626363571e+002 1.626802252e+002 1.1e-008 2.06 51 1.6e-005 1.1e-002 1.1e-003 1.00e+000 1.626394752e+002 1.626789560e+002 9.6e-009 2.09 52 1.4e-005 1.0e-002 9.5e-004 1.00e+000 1.626422810e+002 1.626778133e+002 8.7e-009 2.14 53 1.3e-005 1.0e-002 8.6e-004 1.00e+000 1.626448058e+002 1.626767845e+002 7.8e-009 2.19 54 1.2e-005 9.8e-003 7.7e-004 1.00e+000 1.626470777e+002 1.626758583e+002 7.0e-009 2.22 55 1.0e-005 9.6e-003 6.9e-004 1.00e+000 1.626491220e+002 1.626750243e+002 6.3e-009 2.27 56 9.4e-006 9.4e-003 6.2e-004 1.00e+000 1.626509615e+002 1.626742734e+002 5.7e-009 2.30 57 8.5e-006 9.2e-003 5.6e-004 1.00e+000 1.626526167e+002 1.626735972e+002 5.1e-009 2.34 58 7.6e-006 9.1e-003 5.1e-004 1.00e+000 1.626541060e+002 1.626729883e+002 4.6e-009 2.38 59 6.9e-006 8.9e-003 4.6e-004 1.00e+000 1.626554461e+002 1.626724401e+002 4.2e-009 2.42 60 6.2e-006 8.8e-003 4.1e-004 1.00e+000 1.626566519e+002 1.626719464e+002 3.7e-009 2.47 61 5.6e-006 8.7e-003 3.7e-004 1.00e+000 1.626577368e+002 1.626715018e+002 3.4e-009 2.50 62 5.0e-006 8.6e-003 3.3e-004 1.00e+000 1.626587131e+002 1.626711015e+002 3.0e-009 2.55 63 4.5e-006 8.5e-003 3.0e-004 1.00e+000 1.626595915e+002 1.626707411e+002 2.7e-009 2.59 64 4.1e-006 8.4e-003 2.7e-004 1.00e+000 1.626603820e+002 1.626704165e+002 2.5e-009 2.64 65 3.6e-006 8.3e-003 2.4e-004 1.00e+000 1.626610933e+002 1.626701243e+002 2.2e-009 2.67 66 3.3e-006 8.2e-003 2.2e-004 1.00e+000 1.626617333e+002 1.626698612e+002 2.0e-009 2.72 67 3.0e-006 8.2e-003 2.0e-004 1.00e+000 1.626623092e+002 1.626696243e+002 1.8e-009 2.77 68 2.7e-006 8.1e-003 1.8e-004 1.00e+000 1.626628274e+002 1.626694110e+002 1.6e-009 2.81 69 2.4e-006 8.1e-003 1.6e-004 1.00e+000 1.626632938e+002 1.626692190e+002 1.4e-009 2.84 70 2.2e-006 8.0e-003 1.4e-004 1.00e+000 1.626637135e+002 1.626690461e+002 1.3e-009 2.89 71 1.2e-007 4.6e-004 8.3e-006 1.00e+000 1.626672676e+002 1.626675781e+002 7.6e-011 2.94 72 1.1e-007 4.2e-004 7.5e-006 1.00e+000 1.626672900e+002 1.626675694e+002 6.8e-011 3.00 73 6.1e-009 2.3e-005 4.1e-007 1.00e+000 1.626674763e+002 1.626674918e+002 3.8e-012 3.05 Interior-point optimizer terminated. Time: 3.06. Optimizer terminated. Time: 3.08 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6266747633e+002 nrm: 4e+001 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.6266749180e+002 nrm: 8e+002 Viol. con: 0e+000 var: 2e-004 * End solution on dual form. * Transforming to primal solution. Solving took 3.09 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.02 Factor - nonzeros before factor : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.237939845e+005 2.000000000e+000 1.0e+000 0.06 1 1.7e+003 2.2e+003 8.9e+004 -9.71e-001 -1.230325092e+005 2.671913679e+000 7.2e-001 0.09 2 7.9e+002 1.0e+003 4.3e+004 -9.59e-001 -1.201731081e+005 5.273887154e+000 3.4e-001 0.14 3 3.3e+002 4.4e+002 1.8e+004 -9.12e-001 -1.132210464e+005 1.919964941e+001 1.5e-001 0.17 4 2.5e+002 3.2e+002 1.3e+004 -7.98e-001 -1.082259746e+005 1.006994114e+003 1.1e-001 0.22 5 1.5e+002 1.9e+002 7.9e+003 -7.19e-001 -9.478309041e+004 3.540152224e+003 6.4e-002 0.25 6 3.1e+001 4.0e+001 1.7e+003 -5.27e-001 -3.905453540e+004 1.177340947e+004 1.4e-002 0.30 7 1.4e+001 1.8e+001 7.4e+002 3.82e-001 -1.995146978e+004 5.815508662e+003 6.0e-003 0.34 8 6.1e+000 7.9e+000 3.3e+002 7.31e-001 -9.341645259e+003 2.829012253e+003 2.7e-003 0.39 9 2.8e+000 3.6e+000 1.5e+002 9.05e-001 -4.202779723e+003 1.519654241e+003 1.2e-003 0.44 10 1.8e+000 2.3e+000 9.6e+001 9.70e-001 -2.603863448e+003 1.062215260e+003 7.9e-004 0.47 11 1.3e+000 1.6e+000 6.8e+001 9.78e-001 -1.837026530e+003 7.763252021e+002 5.6e-004 0.52 12 5.2e-001 7.3e-001 2.9e+001 9.88e-001 -7.533701785e+002 3.467678796e+002 2.3e-004 0.56 13 2.8e-001 3.9e-001 1.5e+001 1.00e+000 -3.692190684e+002 2.214993466e+002 1.3e-004 0.61 14 1.1e-001 1.7e-001 6.0e+000 1.00e+000 -1.162590603e+002 1.133090392e+002 5.0e-005 0.66 15 4.8e-002 1.1e-001 2.7e+000 1.01e+000 -2.789975924e+001 7.523781954e+001 2.3e-005 0.69 16 1.1e-002 1.3e-001 6.8e-001 1.01e+000 2.551773226e+001 5.130808807e+001 5.8e-006 0.73 17 4.7e-003 1.0e-001 2.8e-001 1.01e+000 3.609136844e+001 4.666656588e+001 2.4e-006 0.78 18 9.7e-004 1.4e-001 5.9e-002 1.00e+000 4.193989988e+001 4.419035818e+001 5.2e-007 0.83 19 5.5e-004 1.0e-001 3.4e-002 1.00e+000 4.263577843e+001 4.391403101e+001 3.0e-007 0.86 20 2.4e-004 8.6e-002 1.4e-002 1.00e+000 4.314612290e+001 4.369556158e+001 1.3e-007 0.91 21 2.1e-004 7.8e-002 1.3e-002 1.00e+000 4.318610347e+001 4.368060055e+001 1.2e-007 0.94 22 1.9e-004 7.1e-002 1.2e-002 1.00e+000 4.322066062e+001 4.366566424e+001 1.0e-007 0.98 23 1.7e-004 6.4e-002 1.1e-002 1.00e+000 4.325176997e+001 4.365224335e+001 9.4e-008 1.03 24 1.5e-004 5.9e-002 9.5e-003 1.00e+000 4.327972085e+001 4.364012163e+001 8.4e-008 1.08 25 1.4e-004 5.4e-002 8.6e-003 1.00e+000 4.330485394e+001 4.362919400e+001 7.6e-008 1.11 26 1.3e-004 4.9e-002 7.7e-003 1.00e+000 4.332745180e+001 4.361934086e+001 6.8e-008 1.16 27 1.1e-004 4.5e-002 6.9e-003 1.00e+000 4.334777132e+001 4.361045751e+001 6.1e-008 1.20 28 1.0e-004 4.1e-002 6.2e-003 1.00e+000 4.336604303e+001 4.360244916e+001 5.5e-008 1.24 29 9.1e-005 3.8e-002 5.6e-003 1.00e+000 4.338247432e+001 4.359523045e+001 5.0e-008 1.28 30 8.2e-005 3.5e-002 5.1e-003 1.00e+000 4.339725144e+001 4.358872429e+001 4.5e-008 1.33 31 7.4e-005 3.2e-002 4.6e-003 1.00e+000 4.341054166e+001 4.358286097e+001 4.0e-008 1.36 32 6.7e-005 3.0e-002 4.1e-003 1.00e+000 4.342249517e+001 4.357757744e+001 3.6e-008 1.41 33 6.0e-005 2.7e-002 3.7e-003 1.00e+000 4.343324682e+001 4.357281671e+001 3.3e-008 1.44 34 5.4e-005 2.5e-002 3.3e-003 1.00e+000 4.344291776e+001 4.356852730e+001 2.9e-008 1.49 35 4.9e-005 2.4e-002 3.0e-003 1.00e+000 4.345161685e+001 4.356466270e+001 2.6e-008 1.53 36 4.4e-005 2.2e-002 2.7e-003 1.00e+000 4.345944191e+001 4.356118096e+001 2.4e-008 1.56 37 3.9e-005 2.1e-002 2.4e-003 1.00e+000 4.346648088e+001 4.355804425e+001 2.1e-008 1.61 38 3.5e-005 1.9e-002 2.2e-003 1.00e+000 4.347281285e+001 4.355521845e+001 1.9e-008 1.66 39 3.2e-005 1.8e-002 2.0e-003 1.00e+000 4.347850891e+001 4.355267280e+001 1.7e-008 1.69 40 2.9e-005 1.7e-002 1.8e-003 1.00e+000 4.348363299e+001 4.355037958e+001 1.6e-008 1.74 41 2.6e-005 1.6e-002 1.6e-003 1.00e+000 4.348824261e+001 4.354831381e+001 1.4e-008 1.78 42 2.3e-005 1.5e-002 1.4e-003 1.00e+000 4.349238948e+001 4.354645298e+001 1.3e-008 1.81 43 2.1e-005 1.4e-002 1.3e-003 1.00e+000 4.349612011e+001 4.354477680e+001 1.1e-008 1.86 44 1.9e-005 1.4e-002 1.2e-003 1.00e+000 4.349947633e+001 4.354326699e+001 1.0e-008 1.91 45 1.7e-005 1.3e-002 1.0e-003 1.00e+000 4.350249577e+001 4.354190709e+001 9.2e-009 1.94 46 1.5e-005 1.3e-002 9.4e-004 1.00e+000 4.350521227e+001 4.354068225e+001 8.3e-009 1.99 47 1.4e-005 1.2e-002 8.4e-004 1.00e+000 4.350765626e+001 4.353957908e+001 7.5e-009 2.03 48 1.2e-005 1.2e-002 7.6e-004 1.00e+000 4.350985512e+001 4.353858554e+001 6.7e-009 2.06 49 1.1e-005 1.1e-002 6.8e-004 1.00e+000 4.351183347e+001 4.353769076e+001 6.1e-009 2.09 50 1.0e-005 1.1e-002 6.1e-004 1.00e+000 4.351361346e+001 4.353688495e+001 5.5e-009 2.14 51 9.0e-006 1.0e-002 5.5e-004 1.00e+000 4.351521499e+001 4.353615929e+001 4.9e-009 2.19 52 8.1e-006 1.0e-002 5.0e-004 1.00e+000 4.351665598e+001 4.353550582e+001 4.4e-009 2.22 53 7.3e-006 9.9e-003 4.5e-004 1.00e+000 4.351795255e+001 4.353491739e+001 4.0e-009 2.27 54 6.6e-006 9.6e-003 4.0e-004 1.00e+000 4.351911918e+001 4.353438753e+001 3.6e-009 2.30 55 5.9e-006 9.4e-003 3.6e-004 1.00e+000 4.352016892e+001 4.353391044e+001 3.2e-009 2.34 56 5.3e-006 9.2e-003 3.3e-004 1.00e+000 4.352111349e+001 4.353348086e+001 2.9e-009 2.38 57 4.8e-006 9.0e-003 2.9e-004 1.00e+000 4.352196345e+001 4.353309409e+001 2.6e-009 2.42 58 4.3e-006 8.9e-003 2.6e-004 1.00e+000 4.352272827e+001 4.353274585e+001 2.3e-009 2.45 59 3.9e-006 8.7e-003 2.4e-004 1.00e+000 4.352341649e+001 4.353243233e+001 2.1e-009 2.50 60 3.5e-006 8.6e-003 2.1e-004 1.00e+000 4.352403580e+001 4.353215006e+001 1.9e-009 2.55 61 3.1e-006 8.5e-003 1.9e-004 1.00e+000 4.352459310e+001 4.353189595e+001 1.7e-009 2.59 62 2.8e-006 8.4e-003 1.7e-004 1.00e+000 4.352509460e+001 4.353166718e+001 1.5e-009 2.64 63 2.5e-006 8.3e-003 1.6e-004 1.00e+000 4.352554590e+001 4.353146124e+001 1.4e-009 2.67 64 2.3e-006 8.2e-003 1.4e-004 1.00e+000 4.352595203e+001 4.353127585e+001 1.2e-009 2.72 65 2.1e-006 8.1e-003 1.3e-004 1.00e+000 4.352631751e+001 4.353110895e+001 1.1e-009 2.77 66 1.9e-006 8.0e-003 1.1e-004 1.00e+000 4.352664642e+001 4.353095873e+001 1.0e-009 2.83 67 1.7e-006 7.9e-003 1.0e-004 1.00e+000 4.352694241e+001 4.353082349e+001 9.1e-010 2.88 68 1.5e-006 7.9e-003 9.2e-005 1.00e+000 4.352720878e+001 4.353070177e+001 8.2e-010 2.92 69 1.3e-006 7.8e-003 8.3e-005 1.00e+000 4.352744850e+001 4.353059220e+001 7.4e-010 2.95 70 1.2e-006 7.8e-003 7.5e-005 1.00e+000 4.352766424e+001 4.353049358e+001 6.6e-010 3.00 71 1.1e-006 7.7e-003 6.7e-005 1.00e+000 4.352785839e+001 4.353040480e+001 6.0e-010 3.03 72 9.8e-007 7.7e-003 6.1e-005 1.00e+000 4.352803313e+001 4.353032490e+001 5.4e-010 3.08 73 8.9e-007 7.6e-003 5.5e-005 1.00e+000 4.352819038e+001 4.353025298e+001 4.8e-010 3.11 74 8.0e-007 7.6e-003 4.9e-005 1.00e+000 4.352833191e+001 4.353018825e+001 4.4e-010 3.16 75 7.2e-007 7.6e-003 4.4e-005 1.00e+000 4.352845928e+001 4.353012999e+001 3.9e-010 3.19 76 6.5e-007 7.5e-003 4.0e-005 1.00e+000 4.352857391e+001 4.353007756e+001 3.5e-010 3.23 77 5.8e-007 7.5e-003 3.6e-005 1.00e+000 4.352867707e+001 4.353003036e+001 3.2e-010 3.28 78 5.2e-007 7.5e-003 3.2e-005 1.00e+000 4.352876992e+001 4.352998788e+001 2.9e-010 3.31 79 4.7e-007 7.5e-003 2.9e-005 1.00e+000 4.352885348e+001 4.352994965e+001 2.6e-010 3.34 80 4.2e-007 7.4e-003 2.6e-005 1.00e+000 4.352892869e+001 4.352991524e+001 2.3e-010 3.39 81 3.8e-007 7.4e-003 2.3e-005 1.00e+000 4.352899637e+001 4.352988427e+001 2.1e-010 3.42 82 3.4e-007 7.4e-003 2.1e-005 1.00e+000 4.352905729e+001 4.352985640e+001 1.9e-010 3.47 83 3.1e-007 7.4e-003 1.9e-005 1.00e+000 4.352911211e+001 4.352983132e+001 1.7e-010 3.50 84 2.8e-007 7.4e-003 1.7e-005 1.00e+000 4.352916145e+001 4.352980874e+001 1.5e-010 3.56 85 2.5e-007 7.4e-003 1.5e-005 1.00e+000 4.352920586e+001 4.352978842e+001 1.4e-010 3.61 86 2.3e-007 7.3e-003 1.4e-005 1.00e+000 4.352924582e+001 4.352977013e+001 1.2e-010 3.64 87 2.0e-007 7.3e-003 1.2e-005 1.00e+000 4.352928179e+001 4.352975367e+001 1.1e-010 3.67 88 1.8e-007 7.3e-003 1.1e-005 1.00e+000 4.352931417e+001 4.352973886e+001 1.0e-010 3.72 89 1.6e-007 7.3e-003 1.0e-005 1.00e+000 4.352934330e+001 4.352972552e+001 9.0e-011 3.75 90 1.5e-007 7.3e-003 9.1e-006 1.00e+000 4.352936952e+001 4.352971353e+001 8.1e-011 3.78 91 1.3e-007 7.3e-003 8.2e-006 1.00e+000 4.352939312e+001 4.352970273e+001 7.3e-011 3.83 92 1.2e-007 7.3e-003 7.4e-006 1.00e+000 4.352941436e+001 4.352969301e+001 6.5e-011 3.86 93 1.1e-007 7.3e-003 6.6e-006 1.00e+000 4.352943347e+001 4.352968426e+001 5.9e-011 3.91 94 9.7e-008 7.3e-003 6.0e-006 1.00e+000 4.352945068e+001 4.352967638e+001 5.3e-011 3.94 95 8.7e-008 7.2e-003 5.4e-006 1.00e+000 4.352946616e+001 4.352966930e+001 4.8e-011 3.98 96 7.8e-008 7.2e-003 4.8e-006 1.00e+000 4.352948010e+001 4.352966291e+001 4.3e-011 4.02 97 7.1e-008 7.2e-003 4.3e-006 1.00e+000 4.352949264e+001 4.352965718e+001 3.9e-011 4.06 98 6.4e-008 7.2e-003 3.9e-006 9.99e-001 4.352950392e+001 4.352965201e+001 3.5e-011 4.11 99 5.7e-008 7.2e-003 3.5e-006 1.00e+000 4.352951408e+001 4.352964736e+001 3.1e-011 4.14 100 5.1e-008 7.2e-003 3.2e-006 1.00e+000 4.352952322e+001 4.352964317e+001 2.8e-011 4.19 101 4.6e-008 7.2e-003 2.9e-006 9.99e-001 4.352953145e+001 4.352963941e+001 2.5e-011 4.22 102 4.2e-008 7.2e-003 2.6e-006 1.00e+000 4.352953886e+001 4.352963602e+001 2.3e-011 4.27 103 3.8e-008 6.5e-003 2.3e-006 1.00e+000 4.352954553e+001 4.352963296e+001 2.1e-011 4.30 104 3.4e-008 5.8e-003 2.1e-006 1.00e+000 4.352955153e+001 4.352963021e+001 1.8e-011 4.33 105 3.0e-008 5.3e-003 1.9e-006 9.99e-001 4.352955692e+001 4.352962774e+001 1.7e-011 4.38 106 2.7e-008 4.7e-003 1.7e-006 1.00e+000 4.352956179e+001 4.352962551e+001 1.5e-011 4.41 107 2.5e-008 4.3e-003 1.5e-006 9.99e-001 4.352956616e+001 4.352962351e+001 1.3e-011 4.44 108 2.2e-008 3.8e-003 1.4e-006 9.99e-001 4.352957010e+001 4.352962171e+001 1.2e-011 4.47 109 2.0e-008 3.4e-003 1.2e-006 9.99e-001 4.352957364e+001 4.352962009e+001 1.1e-011 4.50 110 1.8e-008 3.1e-003 1.1e-006 9.99e-001 4.352957682e+001 4.352961864e+001 9.8e-012 4.53 111 1.6e-008 2.8e-003 9.9e-007 1.00e+000 4.352957972e+001 4.352961730e+001 8.8e-012 4.58 112 1.5e-008 2.5e-003 9.0e-007 1.00e+000 4.352958231e+001 4.352961611e+001 8.0e-012 4.63 113 1.3e-008 2.3e-003 8.1e-007 1.00e+000 4.352958464e+001 4.352961505e+001 7.2e-012 4.66 114 1.2e-008 2.0e-003 7.3e-007 1.00e+000 4.352958676e+001 4.352961407e+001 6.5e-012 4.67 115 1.1e-008 1.8e-003 6.5e-007 1.00e+000 4.352958863e+001 4.352961321e+001 5.8e-012 4.70 116 9.5e-009 1.6e-003 5.9e-007 9.95e-001 4.352959031e+001 4.352961245e+001 5.2e-012 4.72 117 8.6e-009 1.5e-003 5.3e-007 1.00e+000 4.352959185e+001 4.352961174e+001 4.7e-012 4.75 118 7.7e-009 1.3e-003 4.8e-007 1.00e+000 4.352959322e+001 4.352961112e+001 4.2e-012 4.78 119 7.0e-009 1.2e-003 4.3e-007 9.99e-001 4.352959444e+001 4.352961056e+001 3.8e-012 4.81 120 6.3e-009 1.1e-003 3.9e-007 9.99e-001 4.352959555e+001 4.352961005e+001 3.4e-012 4.83 121 5.6e-009 9.7e-004 3.5e-007 1.00e+000 4.352959656e+001 4.352960958e+001 3.1e-012 4.88 122 5.1e-009 8.8e-004 3.1e-007 1.01e+000 4.352959750e+001 4.352960915e+001 2.8e-012 4.89 123 4.6e-009 7.9e-004 2.8e-007 1.01e+000 4.352959834e+001 4.352960876e+001 2.5e-012 4.92 124 4.1e-009 7.1e-004 2.5e-007 1.02e+000 4.352959910e+001 4.352960841e+001 2.3e-012 4.95 125 3.7e-009 6.4e-004 2.3e-007 1.00e+000 4.352959974e+001 4.352960812e+001 2.1e-012 4.97 126 3.3e-009 5.7e-004 2.0e-007 1.00e+000 4.352960032e+001 4.352960785e+001 1.9e-012 5.00 127 3.0e-009 5.2e-004 1.8e-007 1.00e+000 4.352960083e+001 4.352960762e+001 1.7e-012 5.03 128 2.7e-009 4.7e-004 1.7e-007 9.99e-001 4.352960130e+001 4.352960740e+001 1.5e-012 5.06 129 2.4e-009 4.2e-004 1.5e-007 9.93e-001 4.352960172e+001 4.352960721e+001 1.4e-012 5.56 130 2.2e-009 3.8e-004 1.3e-007 1.00e+000 4.352960210e+001 4.352960704e+001 1.2e-012 5.61 131 2.0e-009 3.4e-004 1.2e-007 9.98e-001 4.352960244e+001 4.352960688e+001 1.1e-012 5.64 132 1.8e-009 3.1e-004 1.1e-007 1.00e+000 4.352960275e+001 4.352960674e+001 9.9e-013 5.69 Interior-point optimizer terminated. Time: 5.70. Optimizer terminated. Time: 5.80 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 4.3529602750e+001 nrm: 4e+001 Viol. con: 3e-008 var: 0e+000 Dual. obj: 4.3529606741e+001 nrm: 7e+002 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 5.81 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.03 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.238051273e+005 2.000000000e+000 1.0e+000 0.08 1 1.7e+003 2.2e+003 9.1e+004 -9.71e-001 -1.230814637e+005 2.612931744e+000 7.3e-001 0.14 2 8.1e+002 1.1e+003 4.4e+004 -9.59e-001 -1.203764651e+005 4.971545228e+000 3.6e-001 0.19 3 2.9e+002 3.8e+002 1.6e+004 -9.15e-001 -1.116516326e+005 2.112872377e+001 1.3e-001 0.25 4 2.9e+002 3.8e+002 1.6e+004 -7.69e-001 -1.095475248e+005 1.855025388e+003 1.3e-001 0.31 5 1.2e+002 1.6e+002 6.7e+003 -7.60e-001 -8.868417445e+004 6.171840540e+003 5.4e-002 0.36 6 4.2e+001 5.4e+001 2.3e+003 -4.59e-001 -4.952400856e+004 1.085425998e+004 1.8e-002 0.41 7 2.1e+001 2.7e+001 1.1e+003 1.88e-001 -2.936594916e+004 6.679460384e+003 9.1e-003 0.45 8 8.8e+000 1.1e+001 4.8e+002 5.63e-001 -1.351292529e+004 3.784957771e+003 3.9e-003 0.50 9 4.0e+000 5.2e+000 2.2e+002 8.42e-001 -6.117243854e+003 2.041615326e+003 1.8e-003 0.55 10 1.9e+000 2.5e+000 1.1e+002 9.52e-001 -2.892778970e+003 1.113881385e+003 8.7e-004 0.59 11 1.0e+000 1.6e+000 5.7e+001 9.84e-001 -1.499917800e+003 6.638274099e+002 4.7e-004 0.63 12 8.4e-001 1.3e+000 4.6e+001 9.80e-001 -1.221592026e+003 5.389200716e+002 3.8e-004 0.67 13 4.0e-001 6.3e-001 2.2e+001 9.88e-001 -5.885656398e+002 2.564036689e+002 1.8e-004 0.72 14 1.6e-001 2.9e-001 9.0e+000 1.00e+000 -2.283833180e+002 1.179403990e+002 7.5e-005 0.77 15 6.0e-002 1.7e-001 3.4e+000 9.96e-001 -7.849912410e+001 5.199373609e+001 2.9e-005 0.80 16 3.4e-002 1.1e-001 1.9e+000 9.95e-001 -3.782713634e+001 3.642359758e+001 1.6e-005 0.84 17 2.6e-002 8.6e-002 1.5e+000 1.01e+000 -2.435277227e+001 3.230177541e+001 1.3e-005 0.89 18 7.7e-003 1.0e-001 4.6e-001 1.01e+000 4.716278670e+000 2.202650585e+001 3.9e-006 0.94 19 2.5e-003 1.0e-001 1.6e-001 1.02e+000 1.286647514e+001 1.872249925e+001 1.4e-006 0.97 20 4.4e-004 1.5e-001 2.8e-002 1.01e+000 1.632174960e+001 1.738360666e+001 2.6e-007 1.03 21 2.2e-004 9.4e-002 1.4e-002 9.93e-001 1.671210909e+001 1.725403937e+001 1.3e-007 1.08 22 1.2e-004 6.8e-002 8.1e-003 9.98e-001 1.688984106e+001 1.719249749e+001 7.3e-008 1.13 23 5.4e-005 6.8e-002 3.5e-003 1.00e+000 1.701287481e+001 1.714412256e+001 3.2e-008 1.17 24 2.4e-005 6.6e-002 1.6e-003 1.00e+000 1.706463002e+001 1.712453411e+001 1.5e-008 1.22 25 1.2e-005 6.2e-002 7.8e-004 1.00e+000 1.708676075e+001 1.711588519e+001 7.1e-009 1.27 26 1.1e-005 5.6e-002 7.0e-004 1.00e+000 1.708902425e+001 1.711523758e+001 6.4e-009 1.31 27 9.6e-006 5.2e-002 6.3e-004 1.00e+000 1.709090929e+001 1.711450073e+001 5.7e-009 1.38 28 8.6e-006 4.7e-002 5.7e-004 1.00e+000 1.709260194e+001 1.711383379e+001 5.2e-009 1.42 29 7.8e-006 4.3e-002 5.1e-004 1.00e+000 1.709412151e+001 1.711322982e+001 4.6e-009 1.47 30 7.0e-006 4.0e-002 4.6e-004 1.00e+000 1.709548726e+001 1.711268447e+001 4.2e-009 1.52 31 6.3e-006 3.6e-002 4.1e-004 1.00e+000 1.709671491e+001 1.711219219e+001 3.8e-009 1.56 32 5.7e-006 3.3e-002 3.7e-004 1.00e+000 1.709781856e+001 1.711174797e+001 3.4e-009 1.61 33 5.1e-006 3.1e-002 3.4e-004 1.00e+000 1.709881084e+001 1.711134718e+001 3.0e-009 1.66 34 4.6e-006 2.8e-002 3.0e-004 1.00e+000 1.709970309e+001 1.711098571e+001 2.7e-009 1.72 35 4.1e-006 2.6e-002 2.7e-004 1.00e+000 1.710050550e+001 1.711065980e+001 2.5e-009 1.75 36 3.7e-006 2.4e-002 2.4e-004 1.00e+000 1.710122719e+001 1.711036603e+001 2.2e-009 1.80 37 3.3e-006 2.3e-002 2.2e-004 1.00e+000 1.710187635e+001 1.711010127e+001 2.0e-009 1.84 38 3.0e-006 2.1e-002 2.0e-004 1.00e+000 1.710246030e+001 1.710986272e+001 1.8e-009 1.91 39 2.7e-006 2.0e-002 1.8e-004 1.00e+000 1.710298563e+001 1.710964782e+001 1.6e-009 1.94 40 2.4e-006 1.9e-002 1.6e-004 1.00e+000 1.710345824e+001 1.710945421e+001 1.5e-009 1.97 41 2.2e-006 1.7e-002 1.4e-004 1.00e+000 1.710388345e+001 1.710927981e+001 1.3e-009 2.02 42 2.0e-006 1.6e-002 1.3e-004 1.00e+000 1.710426600e+001 1.710912275e+001 1.2e-009 2.03 43 1.8e-006 1.5e-002 1.2e-004 1.00e+000 1.710461020e+001 1.710898129e+001 1.1e-009 2.06 44 1.6e-006 1.5e-002 1.1e-004 1.00e+000 1.710491990e+001 1.710885387e+001 9.6e-010 2.11 45 1.4e-006 1.4e-002 9.5e-005 1.00e+000 1.710519855e+001 1.710873913e+001 8.6e-010 2.14 46 1.3e-006 1.3e-002 8.5e-005 1.00e+000 1.710544927e+001 1.710863582e+001 7.8e-010 2.17 47 1.2e-006 1.3e-002 7.7e-005 1.00e+000 1.710567487e+001 1.710854279e+001 7.0e-010 2.19 48 1.0e-006 1.2e-002 6.9e-005 1.00e+000 1.710587786e+001 1.710845901e+001 6.3e-010 2.22 49 9.4e-007 1.2e-002 6.2e-005 1.00e+000 1.710606051e+001 1.710838356e+001 5.7e-010 2.25 50 8.5e-007 1.1e-002 5.6e-005 1.00e+000 1.710622487e+001 1.710831563e+001 5.1e-010 2.28 51 7.7e-007 1.1e-002 5.0e-005 1.00e+000 1.710637275e+001 1.710825447e+001 4.6e-010 2.31 52 6.9e-007 1.0e-002 4.5e-005 1.00e+000 1.710650583e+001 1.710819939e+001 4.1e-010 2.36 53 6.2e-007 1.0e-002 4.1e-005 1.00e+000 1.710662557e+001 1.710814977e+001 3.7e-010 2.39 54 5.6e-007 9.8e-003 3.7e-005 1.00e+000 1.710673332e+001 1.710810514e+001 3.3e-010 2.42 55 5.0e-007 9.5e-003 3.3e-005 1.00e+000 1.710683028e+001 1.710806492e+001 3.0e-010 2.47 56 4.5e-007 9.3e-003 3.0e-005 1.00e+000 1.710691753e+001 1.710802869e+001 2.7e-010 2.50 57 4.1e-007 9.1e-003 2.7e-005 1.00e+000 1.710699604e+001 1.710799609e+001 2.4e-010 2.53 58 3.7e-007 8.9e-003 2.4e-005 1.00e+000 1.710706671e+001 1.710796665e+001 2.2e-010 2.56 59 3.3e-007 8.7e-003 2.2e-005 1.00e+000 1.710713029e+001 1.710794018e+001 2.0e-010 2.58 60 3.0e-007 8.6e-003 2.0e-005 9.99e-001 1.710718749e+001 1.710791639e+001 1.8e-010 2.61 61 2.7e-007 8.4e-003 1.8e-005 1.00e+000 1.710723896e+001 1.710789497e+001 1.6e-010 2.64 62 2.4e-007 8.3e-003 1.6e-005 9.99e-001 1.710728527e+001 1.710787572e+001 1.4e-010 2.67 63 2.2e-007 8.2e-003 1.4e-005 1.00e+000 1.710732695e+001 1.710785835e+001 1.3e-010 2.69 64 1.9e-007 8.1e-003 1.3e-005 1.00e+000 1.710736446e+001 1.710784271e+001 1.2e-010 2.72 65 1.8e-007 8.0e-003 1.2e-005 1.00e+000 1.710739821e+001 1.710782864e+001 1.0e-010 2.75 66 1.6e-007 7.9e-003 1.0e-005 1.00e+000 1.710742858e+001 1.710781596e+001 9.4e-011 2.78 67 1.4e-007 7.8e-003 9.3e-006 9.98e-001 1.710745591e+001 1.710780457e+001 8.5e-011 2.81 68 1.3e-007 7.8e-003 8.4e-006 1.00e+000 1.710748050e+001 1.710779427e+001 7.6e-011 2.84 69 1.1e-007 7.7e-003 7.6e-006 9.99e-001 1.710750265e+001 1.710778499e+001 6.9e-011 2.88 70 1.0e-007 7.6e-003 6.8e-006 9.98e-001 1.710752255e+001 1.710777669e+001 6.2e-011 2.91 71 9.3e-008 7.6e-003 6.1e-006 9.99e-001 1.710754047e+001 1.710776920e+001 5.6e-011 2.94 72 8.4e-008 7.5e-003 5.5e-006 9.95e-001 1.710755658e+001 1.710776249e+001 5.0e-011 2.98 73 7.5e-008 7.5e-003 5.0e-006 1.00e+000 1.710757111e+001 1.710775637e+001 4.5e-011 3.02 74 6.8e-008 6.7e-003 4.5e-006 1.01e+000 1.710758444e+001 1.710775076e+001 4.1e-011 3.05 75 6.1e-008 6.1e-003 4.0e-006 9.93e-001 1.710759616e+001 1.710774588e+001 3.7e-011 3.08 76 5.5e-008 5.5e-003 3.6e-006 1.00e+000 1.710760670e+001 1.710774147e+001 3.3e-011 3.13 77 4.9e-008 4.9e-003 3.3e-006 9.99e-001 1.710761620e+001 1.710773746e+001 3.0e-011 6.03 78 4.4e-008 4.4e-003 2.9e-006 1.01e+000 1.710762487e+001 1.710773383e+001 2.7e-011 6.09 79 4.0e-008 4.0e-003 2.6e-006 1.01e+000 1.710763287e+001 1.710773041e+001 2.4e-011 6.13 80 3.6e-008 3.6e-003 2.4e-006 9.88e-001 1.710763975e+001 1.710772752e+001 2.2e-011 6.16 81 3.2e-008 3.2e-003 2.1e-006 9.96e-001 1.710764593e+001 1.710772495e+001 2.0e-011 6.19 82 2.9e-008 2.9e-003 1.9e-006 1.00e+000 1.710765154e+001 1.710772258e+001 1.8e-011 6.22 83 2.6e-008 2.6e-003 1.7e-006 9.96e-001 1.710765655e+001 1.710772045e+001 1.6e-011 6.25 84 2.4e-008 2.4e-003 1.6e-006 1.04e+000 1.710766178e+001 1.710771822e+001 1.5e-011 6.33 85 2.1e-008 2.1e-003 1.4e-006 1.00e+000 1.710766576e+001 1.710771655e+001 1.3e-011 6.36 86 1.9e-008 1.9e-003 1.3e-006 9.80e-001 1.710766933e+001 1.710771510e+001 1.2e-011 6.38 87 1.7e-008 1.7e-003 1.1e-006 9.81e-001 1.710767256e+001 1.710771375e+001 1.1e-011 6.41 88 1.6e-008 1.5e-003 1.0e-006 9.77e-001 1.710767544e+001 1.710771259e+001 9.5e-012 6.44 89 1.5e-008 1.4e-003 9.2e-007 1.03e+000 1.710767844e+001 1.710771129e+001 8.7e-012 6.45 90 1.3e-008 1.2e-003 8.3e-007 9.71e-001 1.710768075e+001 1.710771031e+001 7.9e-012 6.49 91 1.2e-008 1.1e-003 7.4e-007 1.02e+000 1.710768302e+001 1.710770941e+001 7.1e-012 6.52 92 1.1e-008 1.0e-003 6.7e-007 9.86e-001 1.710768488e+001 1.710770858e+001 6.4e-012 6.55 93 9.9e-009 9.1e-004 6.0e-007 9.64e-001 1.710768656e+001 1.710770786e+001 5.8e-012 6.58 94 9.0e-009 8.2e-004 5.4e-007 9.77e-001 1.710768805e+001 1.710770727e+001 5.2e-012 6.61 95 8.3e-009 7.4e-004 4.9e-007 9.71e-001 1.710768940e+001 1.710770668e+001 4.7e-012 6.66 96 7.8e-009 6.6e-004 4.4e-007 9.73e-001 1.710769061e+001 1.710770619e+001 4.2e-012 6.69 97 7.8e-009 6.0e-004 4.0e-007 1.05e+000 1.710769194e+001 1.710770565e+001 3.9e-012 6.72 98 7.1e-009 5.4e-004 3.6e-007 1.02e+000 1.710769300e+001 1.710770521e+001 3.5e-012 6.75 99 8.6e-009 4.8e-004 3.2e-007 9.29e-001 1.710769403e+001 1.710770423e+001 3.1e-012 6.80 100 8.5e-009 4.4e-004 2.9e-007 1.10e+000 1.710769514e+001 1.710770382e+001 3.0e-012 6.83 101 9.0e-009 4.7e-005 3.1e-008 8.84e-001 1.710770083e+001 1.710770177e+001 3.1e-013 6.84 Interior-point optimizer terminated. Time: 6.86. Optimizer terminated. Time: 6.95 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.7107700833e+001 nrm: 2e+001 Viol. con: 2e-007 var: 0e+000 Dual. obj: 1.7107701772e+001 nrm: 8e+002 Viol. con: 0e+000 var: 3e-004 * End solution on dual form. * Transforming to primal solution. Solving took 6.97 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.03 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.237985057e+005 2.000000000e+000 1.0e+000 0.05 1 1.7e+003 2.2e+003 9.2e+004 -9.71e-001 -1.231156027e+005 2.585062776e+000 7.4e-001 0.09 2 8.3e+002 1.1e+003 4.5e+004 -9.60e-001 -1.205072806e+005 4.869124947e+000 3.7e-001 0.14 3 2.9e+002 3.8e+002 1.6e+004 -9.17e-001 -1.116432350e+005 2.052743567e+001 1.3e-001 0.17 4 2.9e+002 3.8e+002 1.6e+004 -7.69e-001 -1.093170059e+005 2.058841944e+003 1.3e-001 0.20 5 1.3e+002 1.7e+002 6.9e+003 -7.60e-001 -8.976548773e+004 5.901123327e+003 5.6e-002 0.23 6 3.5e+001 4.6e+001 1.9e+003 -4.74e-001 -4.313958925e+004 1.172041578e+004 1.6e-002 0.27 7 2.2e+001 2.9e+001 1.2e+003 3.08e-001 -3.076607750e+004 7.617606939e+003 9.8e-003 0.30 8 1.1e+001 1.4e+001 5.7e+002 5.42e-001 -1.607088527e+004 4.404023897e+003 4.7e-003 0.33 9 5.6e+000 7.4e+000 3.1e+002 7.94e-001 -8.671107710e+003 2.688619889e+003 2.5e-003 0.36 10 2.0e+000 2.6e+000 1.1e+002 9.18e-001 -3.031562638e+003 1.054019570e+003 8.9e-004 0.39 11 8.8e-001 1.2e+000 4.9e+001 9.89e-001 -1.324686775e+003 5.266700674e+002 4.0e-004 0.42 12 7.1e-001 9.7e-001 3.9e+001 9.83e-001 -1.087352364e+003 4.322104966e+002 3.3e-004 0.45 13 6.5e-001 8.8e-001 3.6e+001 9.84e-001 -9.772553567e+002 4.019831985e+002 3.0e-004 0.48 14 2.3e-001 3.2e-001 1.3e+001 9.86e-001 -3.449179385e+002 1.470843336e+002 1.1e-004 0.52 15 8.9e-002 1.8e-001 5.1e+000 1.01e+000 -1.329537108e+002 6.168201852e+001 4.2e-005 0.55 16 4.1e-002 1.4e-001 2.3e+000 1.00e+000 -5.918617659e+001 3.041042672e+001 2.0e-005 0.56 17 3.8e-002 1.3e-001 2.2e+000 1.00e+000 -5.475583898e+001 2.924718333e+001 1.9e-005 0.59 18 2.5e-002 9.1e-002 1.4e+000 1.00e+000 -3.250199740e+001 2.209031559e+001 1.2e-005 0.63 19 2.3e-002 8.5e-002 1.3e+000 1.02e+000 -2.936245955e+001 2.161968134e+001 1.1e-005 0.66 20 9.9e-003 5.4e-002 5.8e-001 1.02e+000 -5.646048404e+000 1.597105211e+001 4.9e-006 0.70 21 2.1e-003 1.1e-001 1.3e-001 1.02e+000 7.656764573e+000 1.243542153e+001 1.1e-006 0.73 22 1.2e-003 7.4e-002 7.5e-002 9.62e-001 8.949524545e+000 1.175729109e+001 6.6e-007 0.75 23 3.6e-004 8.8e-002 2.4e-002 9.51e-001 1.045715478e+001 1.138048296e+001 2.2e-007 0.78 24 2.0e-004 6.7e-002 1.4e-002 9.50e-001 1.076493792e+001 1.128918555e+001 1.3e-007 0.80 25 9.8e-005 6.0e-002 6.8e-003 9.65e-001 1.097617549e+001 1.123632129e+001 6.2e-008 0.83 26 8.9e-005 5.7e-002 6.1e-003 9.96e-001 1.100129287e+001 1.123637958e+001 5.6e-008 0.86 27 4.6e-005 5.5e-002 3.2e-003 9.93e-001 1.108727534e+001 1.121004100e+001 2.9e-008 0.88 28 4.1e-005 5.0e-002 2.9e-003 9.98e-001 1.109795823e+001 1.120846613e+001 2.7e-008 0.91 29 3.7e-005 4.6e-002 2.6e-003 9.98e-001 1.110637592e+001 1.120587074e+001 2.4e-008 0.92 30 3.4e-005 4.2e-002 2.3e-003 9.99e-001 1.111401822e+001 1.120357909e+001 2.1e-008 1.00 31 3.0e-005 3.9e-002 2.1e-003 9.99e-001 1.112088674e+001 1.120150382e+001 1.9e-008 1.02 32 2.7e-005 3.5e-002 1.9e-003 9.99e-001 1.112705484e+001 1.119962026e+001 1.7e-008 1.05 33 2.4e-005 3.3e-002 1.7e-003 9.99e-001 1.113259415e+001 1.119791118e+001 1.6e-008 1.08 34 2.2e-005 3.0e-002 1.5e-003 9.99e-001 1.113756949e+001 1.119636147e+001 1.4e-008 1.13 35 2.0e-005 2.8e-002 1.4e-003 1.00e+000 1.114203872e+001 1.119495693e+001 1.3e-008 1.14 36 1.8e-005 2.6e-002 1.2e-003 1.00e+000 1.114605370e+001 1.119368449e+001 1.1e-008 1.17 37 1.6e-005 2.4e-002 1.1e-003 1.00e+000 1.114966098e+001 1.119253231e+001 1.0e-008 1.19 38 1.4e-005 2.2e-002 1.0e-003 1.00e+000 1.115290223e+001 1.119148939e+001 9.3e-009 1.24 39 1.3e-005 2.1e-002 9.0e-004 1.00e+000 1.115581481e+001 1.119054565e+001 8.3e-009 1.25 40 1.2e-005 1.9e-002 8.1e-004 1.00e+000 1.115843228e+001 1.118969202e+001 7.5e-009 1.28 41 1.1e-005 1.8e-002 7.3e-004 1.00e+000 1.116078465e+001 1.118892003e+001 6.8e-009 1.31 42 9.5e-006 1.7e-002 6.6e-004 1.00e+000 1.116289889e+001 1.118822206e+001 6.1e-009 1.33 43 8.5e-006 1.6e-002 5.9e-004 1.00e+000 1.116479919e+001 1.118759108e+001 5.5e-009 1.38 44 7.7e-006 1.5e-002 5.3e-004 1.00e+000 1.116650722e+001 1.118702083e+001 4.9e-009 1.39 45 6.9e-006 1.4e-002 4.8e-004 1.00e+000 1.116804245e+001 1.118650546e+001 4.4e-009 1.42 46 6.2e-006 1.4e-002 4.3e-004 1.00e+000 1.116942241e+001 1.118603970e+001 4.0e-009 1.45 47 5.6e-006 1.3e-002 3.9e-004 1.00e+000 1.117066286e+001 1.118561894e+001 3.6e-009 1.49 48 5.0e-006 1.3e-002 3.5e-004 1.00e+000 1.117177801e+001 1.118523888e+001 3.2e-009 1.52 49 4.5e-006 1.2e-002 3.1e-004 1.00e+000 1.117278063e+001 1.118489578e+001 2.9e-009 1.55 50 4.1e-006 1.2e-002 2.8e-004 1.00e+000 1.117368219e+001 1.118458609e+001 2.6e-009 1.58 51 3.7e-006 1.1e-002 2.6e-004 1.00e+000 1.117449292e+001 1.118430668e+001 2.4e-009 1.59 52 3.3e-006 1.1e-002 2.3e-004 1.00e+000 1.117522202e+001 1.118405458e+001 2.1e-009 1.63 53 3.0e-006 1.0e-002 2.1e-004 1.00e+000 1.117587773e+001 1.118382721e+001 1.9e-009 1.66 54 2.7e-006 1.0e-002 1.9e-004 1.00e+000 1.117646746e+001 1.118362216e+001 1.7e-009 1.67 55 2.4e-006 9.8e-003 1.7e-004 1.00e+000 1.117699786e+001 1.118343723e+001 1.5e-009 1.70 56 2.2e-006 9.5e-003 1.5e-004 1.00e+000 1.117747493e+001 1.118327044e+001 1.4e-009 1.72 57 2.0e-006 9.3e-003 1.4e-004 1.00e+000 1.117790402e+001 1.118312005e+001 1.3e-009 1.75 58 1.8e-006 9.1e-003 1.2e-004 1.00e+000 1.117828996e+001 1.118298447e+001 1.1e-009 1.77 59 1.6e-006 8.9e-003 1.1e-004 1.00e+000 1.117863709e+001 1.118286221e+001 1.0e-009 1.80 60 1.4e-006 8.7e-003 9.9e-005 1.00e+000 1.117894931e+001 1.118275197e+001 9.1e-010 1.83 61 1.3e-006 8.6e-003 8.9e-005 1.00e+000 1.117923012e+001 1.118265255e+001 8.2e-010 1.84 62 1.2e-006 8.4e-003 8.0e-005 1.00e+000 1.117948268e+001 1.118256292e+001 7.4e-010 1.88 63 1.0e-006 8.3e-003 7.2e-005 1.00e+000 1.117970983e+001 1.118248205e+001 6.7e-010 1.89 64 9.3e-007 8.2e-003 6.5e-005 1.00e+000 1.117991411e+001 1.118240912e+001 6.0e-010 1.92 65 8.4e-007 8.1e-003 5.8e-005 1.00e+000 1.118009783e+001 1.118234332e+001 5.4e-010 1.94 66 7.6e-007 8.0e-003 5.3e-005 1.00e+000 1.118026305e+001 1.118228403e+001 4.9e-010 1.97 67 6.8e-007 7.9e-003 4.7e-005 1.00e+000 1.118041165e+001 1.118223056e+001 4.4e-010 2.00 68 6.1e-007 7.8e-003 4.3e-005 1.00e+000 1.118054530e+001 1.118218231e+001 3.9e-010 2.02 69 5.5e-007 7.8e-003 3.8e-005 1.00e+000 1.118066553e+001 1.118213884e+001 3.5e-010 2.05 70 5.0e-007 7.7e-003 3.4e-005 1.00e+000 1.118077368e+001 1.118209967e+001 3.2e-010 2.06 71 4.5e-007 7.6e-003 3.1e-005 1.00e+000 1.118087097e+001 1.118206439e+001 2.9e-010 2.09 72 4.0e-007 7.6e-003 2.8e-005 1.00e+000 1.118095850e+001 1.118203257e+001 2.6e-010 2.11 73 3.6e-007 7.5e-003 2.5e-005 1.00e+000 1.118103725e+001 1.118200391e+001 2.3e-010 2.14 74 3.3e-007 7.5e-003 2.3e-005 1.00e+000 1.118110811e+001 1.118197810e+001 2.1e-010 2.17 75 2.9e-007 7.5e-003 2.0e-005 1.00e+000 1.118117186e+001 1.118195484e+001 1.9e-010 2.19 76 2.6e-007 7.4e-003 1.8e-005 1.00e+000 1.118122923e+001 1.118193390e+001 1.7e-010 2.22 77 2.4e-007 7.4e-003 1.6e-005 1.00e+000 1.118128084e+001 1.118191504e+001 1.5e-010 2.23 78 2.1e-007 7.4e-003 1.5e-005 1.00e+000 1.118132730e+001 1.118189801e+001 1.4e-010 2.27 79 1.9e-007 7.3e-003 1.3e-005 1.00e+000 1.118136910e+001 1.118188272e+001 1.2e-010 2.30 80 1.7e-007 7.3e-003 1.2e-005 1.00e+000 1.118140670e+001 1.118186895e+001 1.1e-010 2.31 81 1.6e-007 7.3e-003 1.1e-005 1.00e+000 1.118144054e+001 1.118185655e+001 1.0e-010 2.34 82 1.4e-007 7.3e-003 9.7e-006 1.00e+000 1.118147099e+001 1.118184540e+001 9.0e-011 2.38 83 1.3e-007 7.2e-003 8.8e-006 1.00e+000 1.118149839e+001 1.118183535e+001 8.1e-011 2.41 84 1.1e-007 7.2e-003 7.9e-006 9.99e-001 1.118152304e+001 1.118182632e+001 7.3e-011 2.44 85 1.0e-007 7.2e-003 7.1e-006 9.98e-001 1.118154523e+001 1.118181820e+001 6.6e-011 2.45 86 9.2e-008 7.1e-003 6.4e-006 9.99e-001 1.118156505e+001 1.118181134e+001 5.9e-011 2.48 87 8.3e-008 7.1e-003 5.7e-006 9.99e-001 1.118158303e+001 1.118180472e+001 5.3e-011 2.52 88 7.5e-008 7.1e-003 5.2e-006 9.99e-001 1.118159921e+001 1.118179873e+001 4.8e-011 2.55 89 6.7e-008 7.1e-003 4.7e-006 9.98e-001 1.118161378e+001 1.118179335e+001 4.3e-011 2.58 90 6.0e-008 6.4e-003 4.2e-006 1.00e+000 1.118162691e+001 1.118178841e+001 3.9e-011 2.61 91 5.5e-008 5.7e-003 3.8e-006 1.00e+000 1.118163878e+001 1.118178388e+001 3.5e-011 2.64 92 5.0e-008 5.1e-003 3.4e-006 1.00e+000 1.118164938e+001 1.118177997e+001 3.1e-011 2.67 93 4.5e-008 4.6e-003 3.1e-006 9.99e-001 1.118165893e+001 1.118177645e+001 2.8e-011 2.70 94 4.0e-008 4.2e-003 2.7e-006 9.99e-001 1.118166751e+001 1.118177329e+001 2.5e-011 2.73 95 3.6e-008 3.8e-003 2.5e-006 1.00e+000 1.118167524e+001 1.118177043e+001 2.3e-011 2.77 96 3.3e-008 3.4e-003 2.2e-006 9.97e-001 1.118168219e+001 1.118176788e+001 2.1e-011 2.80 97 2.9e-008 3.0e-003 2.0e-006 9.95e-001 1.118168845e+001 1.118176558e+001 1.9e-011 2.81 98 2.6e-008 2.7e-003 1.8e-006 9.97e-001 1.118169408e+001 1.118176351e+001 1.7e-011 2.84 99 2.4e-008 2.5e-003 1.6e-006 9.91e-001 1.118169915e+001 1.118176166e+001 1.5e-011 2.88 100 2.1e-008 2.2e-003 1.5e-006 1.00e+000 1.118170371e+001 1.118175997e+001 1.4e-011 2.91 101 1.9e-008 2.0e-003 1.3e-006 9.96e-001 1.118170781e+001 1.118175846e+001 1.2e-011 2.94 102 1.7e-008 1.8e-003 1.2e-006 1.02e+000 1.118171180e+001 1.118175694e+001 1.1e-011 2.97 103 1.6e-008 1.6e-003 1.1e-006 1.00e+000 1.118171510e+001 1.118175572e+001 9.9e-012 3.00 104 1.4e-008 1.5e-003 9.6e-007 9.82e-001 1.118171806e+001 1.118175465e+001 8.9e-012 3.03 105 1.3e-008 1.3e-003 8.6e-007 1.00e+000 1.118172078e+001 1.118175364e+001 8.1e-012 3.06 106 3.1e-009 1.3e-004 8.9e-008 9.68e-001 1.118174247e+001 1.118174589e+001 9.3e-013 3.09 Interior-point optimizer terminated. Time: 3.09. Optimizer terminated. Time: 3.31 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.1181742466e+001 nrm: 1e+001 Viol. con: 4e-008 var: 0e+000 Dual. obj: 1.1181745894e+001 nrm: 9e+002 Viol. con: 0e+000 var: 1e-003 * End solution on dual form. * Transforming to primal solution. Solving took 3.36 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 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 : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.236967742e+005 2.000000000e+000 1.0e+000 0.08 1 1.7e+003 2.2e+003 9.2e+004 -9.71e-001 -1.230284481e+005 2.570065494e+000 7.5e-001 0.13 2 8.6e+002 1.1e+003 4.6e+004 -9.60e-001 -1.205460535e+005 4.693443756e+000 3.8e-001 0.16 3 2.9e+002 3.8e+002 1.6e+004 -9.20e-001 -1.116127180e+005 2.003015967e+001 1.3e-001 0.20 4 2.9e+002 3.8e+002 1.6e+004 -7.72e-001 -1.092311111e+005 2.084993130e+003 1.3e-001 0.23 5 1.2e+002 1.6e+002 6.5e+003 -7.60e-001 -8.826972320e+004 6.227010512e+003 5.3e-002 0.27 6 4.0e+001 5.3e+001 2.2e+003 -4.54e-001 -4.834818843e+004 1.109948929e+004 1.8e-002 0.31 7 2.4e+001 3.1e+001 1.3e+003 2.16e-001 -3.300699845e+004 7.505417996e+003 1.1e-002 0.36 8 1.2e+001 1.6e+001 6.8e+002 5.08e-001 -1.892800389e+004 4.598975365e+003 5.5e-003 0.39 9 4.9e+000 6.4e+000 2.7e+002 7.52e-001 -7.739443000e+003 2.237213074e+003 2.2e-003 0.44 10 2.6e+000 3.4e+000 1.4e+002 9.28e-001 -3.967275413e+003 1.395071257e+003 1.2e-003 0.47 11 1.0e+000 1.3e+000 5.5e+001 9.78e-001 -1.540325619e+003 5.641085286e+002 4.6e-004 0.52 12 7.8e-001 1.1e+000 4.3e+001 9.88e-001 -1.189485291e+003 4.559525640e+002 3.5e-004 0.55 13 5.2e-001 7.5e-001 2.9e+001 9.73e-001 -7.976334545e+002 3.066938266e+002 2.4e-004 0.59 14 2.8e-001 4.1e-001 1.6e+001 1.00e+000 -4.118467565e+002 1.911315865e+002 1.3e-004 0.66 15 1.0e-001 1.7e-001 5.9e+000 9.96e-001 -1.555149708e+002 7.153141481e+001 4.9e-005 0.69 16 4.6e-002 1.1e-001 2.6e+000 1.01e+000 -6.808910497e+001 3.328081495e+001 2.2e-005 0.73 17 4.3e-002 1.0e-001 2.5e+000 1.01e+000 -6.271377958e+001 3.168376601e+001 2.1e-005 0.77 18 2.9e-002 7.7e-002 1.6e+000 1.01e+000 -3.872295122e+001 2.372491634e+001 1.4e-005 0.81 19 2.7e-002 7.1e-002 1.5e+000 1.02e+000 -3.474591222e+001 2.298808198e+001 1.3e-005 0.86 20 1.0e-002 6.2e-002 5.9e-001 1.02e+000 -6.391210075e+000 1.584226480e+001 5.0e-006 0.89 21 2.7e-003 9.3e-002 1.6e-001 1.02e+000 6.362316732e+000 1.231754424e+001 1.4e-006 0.95 22 1.7e-003 6.9e-002 1.0e-001 9.76e-001 8.012027626e+000 1.176255316e+001 8.7e-007 0.98 23 1.2e-003 7.3e-002 7.1e-002 9.57e-001 8.844493073e+000 1.154750082e+001 6.2e-007 1.03 24 5.8e-004 5.0e-002 3.6e-002 9.63e-001 9.843722287e+000 1.123036505e+001 3.2e-007 1.08 25 4.0e-004 4.5e-002 2.5e-002 9.73e-001 1.016418965e+001 1.113413890e+001 2.2e-007 1.11 26 2.2e-004 4.3e-002 1.4e-002 9.73e-001 1.050425754e+001 1.104634293e+001 1.2e-007 1.16 27 2.0e-004 3.9e-002 1.3e-002 9.86e-001 1.055376188e+001 1.104171729e+001 1.1e-007 1.20 28 1.8e-004 3.6e-002 1.1e-002 9.86e-001 1.059145151e+001 1.103107344e+001 1.0e-007 1.25 29 1.6e-004 3.3e-002 1.0e-002 9.88e-001 1.062652102e+001 1.102250136e+001 9.1e-008 1.28 30 1.5e-004 3.1e-002 9.1e-003 9.89e-001 1.065817537e+001 1.101486366e+001 8.2e-008 1.33 31 1.3e-004 2.8e-002 8.2e-003 9.90e-001 1.068650542e+001 1.100775785e+001 7.4e-008 1.38 32 1.2e-004 2.6e-002 7.4e-003 9.90e-001 1.071191162e+001 1.100124228e+001 6.6e-008 1.41 33 1.1e-004 2.4e-002 6.7e-003 9.91e-001 1.073471006e+001 1.099527307e+001 6.0e-008 1.45 34 9.5e-005 2.3e-002 6.0e-003 9.92e-001 1.075514112e+001 1.098978560e+001 5.4e-008 1.49 35 8.6e-005 2.1e-002 5.4e-003 9.93e-001 1.077346797e+001 1.098476264e+001 4.8e-008 1.53 36 7.7e-005 2.0e-002 4.9e-003 9.93e-001 1.078990846e+001 1.098016874e+001 4.3e-008 1.56 37 6.9e-005 1.9e-002 4.4e-003 9.94e-001 1.080465687e+001 1.097597002e+001 3.9e-008 1.61 38 6.2e-005 1.8e-002 3.9e-003 9.95e-001 1.081788967e+001 1.097213699e+001 3.5e-008 1.64 39 5.6e-005 1.7e-002 3.6e-003 9.95e-001 1.082976388e+001 1.096864078e+001 3.2e-008 1.67 40 5.1e-005 1.6e-002 3.2e-003 9.96e-001 1.084041935e+001 1.096545356e+001 2.9e-008 1.72 41 4.6e-005 1.5e-002 2.9e-003 9.96e-001 1.084998096e+001 1.096254900e+001 2.6e-008 1.77 42 4.1e-005 1.4e-002 2.6e-003 9.96e-001 1.085856074e+001 1.095990274e+001 2.3e-008 1.80 43 3.7e-005 1.3e-002 2.3e-003 9.97e-001 1.086625942e+001 1.095749259e+001 2.1e-008 1.84 44 3.3e-005 1.3e-002 2.1e-003 9.97e-001 1.087316780e+001 1.095529855e+001 1.9e-008 1.89 45 3.0e-005 1.2e-002 1.9e-003 9.97e-001 1.087936765e+001 1.095330252e+001 1.7e-008 1.94 46 2.7e-005 1.2e-002 1.7e-003 9.98e-001 1.088493240e+001 1.095148793e+001 1.5e-008 1.99 47 2.4e-005 1.1e-002 1.5e-003 9.98e-001 1.088992791e+001 1.094983950e+001 1.4e-008 2.02 48 2.2e-005 1.1e-002 1.4e-003 9.98e-001 1.089441313e+001 1.094834309e+001 1.2e-008 2.06 49 2.0e-005 1.1e-002 1.2e-003 9.98e-001 1.089844082e+001 1.094698562e+001 1.1e-008 2.11 50 1.8e-005 1.0e-002 1.1e-003 9.99e-001 1.090205820e+001 1.094575495e+001 1.0e-008 2.16 51 1.6e-005 1.0e-002 1.0e-003 9.99e-001 1.090530755e+001 1.094463991e+001 9.0e-009 2.19 52 1.4e-005 9.9e-003 9.0e-004 9.99e-001 1.090822672e+001 1.094363018e+001 8.1e-009 2.27 53 1.3e-005 9.6e-003 8.1e-004 9.99e-001 1.091084961e+001 1.094271628e+001 7.3e-009 2.31 54 1.2e-005 9.4e-003 7.3e-004 9.99e-001 1.091320658e+001 1.094188951e+001 6.5e-009 2.36 55 1.0e-005 9.2e-003 6.6e-004 9.99e-001 1.091532483e+001 1.094114188e+001 5.9e-009 2.39 56 9.4e-006 9.0e-003 5.9e-004 9.99e-001 1.091722874e+001 1.094046606e+001 5.3e-009 2.44 57 8.4e-006 8.9e-003 5.3e-004 9.99e-001 1.091894016e+001 1.093985538e+001 4.8e-009 2.48 58 7.6e-006 8.7e-003 4.8e-004 9.99e-001 1.092047865e+001 1.093930368e+001 4.3e-009 2.52 59 6.8e-006 8.6e-003 4.3e-004 1.00e+000 1.092186177e+001 1.093880540e+001 3.9e-009 2.55 60 6.2e-006 8.5e-003 3.9e-004 1.00e+000 1.092310525e+001 1.093835542e+001 3.5e-009 2.58 61 5.5e-006 8.4e-003 3.5e-004 1.00e+000 1.092422321e+001 1.093794911e+001 3.1e-009 2.63 62 5.0e-006 8.3e-003 3.2e-004 1.00e+000 1.092522834e+001 1.093758227e+001 2.8e-009 2.66 63 2.0e-006 3.3e-003 1.3e-004 1.00e+000 1.093060691e+001 1.093557850e+001 1.1e-009 2.69 64 7.0e-007 1.2e-003 4.5e-005 1.00e+000 1.093294851e+001 1.093469703e+001 4.0e-010 2.72 65 6.3e-007 1.0e-003 4.0e-005 1.00e+000 1.093308459e+001 1.093465834e+001 3.6e-010 2.77 66 2.4e-007 3.9e-004 1.5e-005 1.00e+000 1.093379329e+001 1.093438238e+001 1.3e-010 2.78 67 2.1e-007 3.5e-004 1.4e-005 1.00e+000 1.093383664e+001 1.093436683e+001 1.2e-010 2.81 68 1.9e-007 3.2e-004 1.2e-005 1.00e+000 1.093387475e+001 1.093435194e+001 1.1e-010 2.86 69 1.7e-007 2.8e-004 1.1e-005 1.00e+000 1.093390905e+001 1.093433853e+001 9.8e-011 2.89 70 1.5e-007 2.6e-004 9.9e-006 1.00e+000 1.093393991e+001 1.093432645e+001 8.8e-011 2.95 71 1.4e-007 2.3e-004 8.9e-006 1.00e+000 1.093396768e+001 1.093431558e+001 7.9e-011 3.00 72 1.3e-007 2.1e-004 8.0e-006 9.99e-001 1.093399267e+001 1.093430579e+001 7.1e-011 3.03 73 1.1e-007 1.9e-004 7.2e-006 1.00e+000 1.093401516e+001 1.093429697e+001 6.4e-011 3.08 74 1.0e-007 1.7e-004 6.5e-006 1.00e+000 1.093403540e+001 1.093428902e+001 5.8e-011 3.09 75 9.1e-008 1.5e-004 5.8e-006 1.00e+000 1.093405361e+001 1.093428187e+001 5.2e-011 3.13 76 8.2e-008 1.4e-004 5.2e-006 1.00e+000 1.093407000e+001 1.093427544e+001 4.7e-011 3.16 77 7.4e-008 1.2e-004 4.7e-006 9.98e-001 1.093408475e+001 1.093426962e+001 4.2e-011 3.17 78 6.7e-008 1.1e-004 4.2e-006 1.00e+000 1.093409803e+001 1.093426440e+001 3.8e-011 3.20 79 6.0e-008 9.9e-005 3.8e-006 9.99e-001 1.093410997e+001 1.093425971e+001 3.4e-011 3.23 80 5.4e-008 8.9e-005 3.4e-006 1.00e+000 1.093412071e+001 1.093425549e+001 3.1e-011 3.27 81 4.9e-008 8.0e-005 3.1e-006 9.99e-001 1.093413039e+001 1.093425167e+001 2.8e-011 3.30 82 4.4e-008 7.2e-005 2.8e-006 1.00e+000 1.093413909e+001 1.093424825e+001 2.5e-011 3.31 83 3.9e-008 6.5e-005 2.5e-006 1.00e+000 1.093414696e+001 1.093424515e+001 2.2e-011 3.34 84 3.5e-008 5.9e-005 2.3e-006 1.00e+000 1.093415403e+001 1.093424235e+001 2.0e-011 3.36 85 3.2e-008 5.3e-005 2.0e-006 1.01e+000 1.093416059e+001 1.093423975e+001 1.8e-011 3.39 86 2.9e-008 4.7e-005 1.8e-006 1.00e+000 1.093416627e+001 1.093423751e+001 1.6e-011 3.42 87 2.6e-008 4.3e-005 1.6e-006 9.97e-001 1.093417138e+001 1.093423552e+001 1.5e-011 3.44 88 2.3e-008 3.8e-005 1.5e-006 9.96e-001 1.093417598e+001 1.093423371e+001 1.3e-011 3.47 89 2.1e-008 3.5e-005 1.3e-006 9.96e-001 1.093418012e+001 1.093423207e+001 1.2e-011 3.50 90 1.9e-008 3.1e-005 1.2e-006 1.01e+000 1.093418395e+001 1.093423056e+001 1.1e-011 3.53 91 1.8e-008 2.8e-005 1.1e-006 1.00e+000 1.093418730e+001 1.093422924e+001 9.7e-012 3.56 92 1.6e-008 2.5e-005 9.7e-007 9.97e-001 1.093419032e+001 1.093422802e+001 8.7e-012 3.59 93 1.4e-008 2.3e-005 8.7e-007 1.01e+000 1.093419320e+001 1.093422687e+001 7.9e-012 3.61 94 1.3e-008 2.0e-005 7.9e-007 9.90e-001 1.093419561e+001 1.093422593e+001 7.1e-012 3.64 95 1.2e-008 1.8e-005 7.1e-007 1.01e+000 1.093419787e+001 1.093422503e+001 6.4e-012 3.66 96 1.0e-008 1.7e-005 6.4e-007 1.01e+000 1.093419994e+001 1.093422422e+001 5.8e-012 3.69 97 9.7e-009 1.5e-005 5.7e-007 9.99e-001 1.093420168e+001 1.093422355e+001 5.3e-012 3.70 98 9.1e-009 1.3e-005 5.2e-007 9.92e-001 1.093420325e+001 1.093422294e+001 4.7e-012 3.73 99 8.1e-009 1.2e-005 4.6e-007 9.66e-001 1.093420465e+001 1.093422240e+001 4.3e-012 3.77 100 8.4e-009 1.1e-005 4.2e-007 1.05e+000 1.093420620e+001 1.093422174e+001 3.9e-012 3.78 101 1.1e-008 9.8e-006 3.8e-007 1.07e+000 1.093420775e+001 1.093422078e+001 3.6e-012 3.81 102 8.6e-009 8.8e-006 3.4e-007 1.08e+000 1.093420907e+001 1.093422028e+001 3.4e-012 3.83 Interior-point optimizer terminated. Time: 3.84. Optimizer terminated. Time: 4.13 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0934209068e+001 nrm: 1e+001 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.0934220281e+001 nrm: 9e+002 Viol. con: 0e+000 var: 5e-005 * End solution on dual form. * Transforming to primal solution. Solving took 4.14 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.03 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.237147785e+005 2.000000000e+000 1.0e+000 0.05 1 1.7e+003 2.2e+003 9.3e+004 -9.71e-001 -1.230510229e+005 2.563311117e+000 7.5e-001 0.14 2 8.6e+002 1.1e+003 4.7e+004 -9.61e-001 -1.206004355e+005 4.644506059e+000 3.8e-001 0.17 3 2.9e+002 3.8e+002 1.6e+004 -9.20e-001 -1.117629933e+005 1.978365052e+001 1.3e-001 0.20 4 2.9e+002 3.8e+002 1.6e+004 -7.75e-001 -1.091905224e+005 2.139880740e+003 1.3e-001 0.23 5 1.0e+002 1.4e+002 5.7e+003 -7.61e-001 -8.404031298e+004 7.183022853e+003 4.7e-002 0.27 6 3.5e+001 4.6e+001 1.9e+003 -3.89e-001 -4.332511023e+004 1.125647731e+004 1.5e-002 0.31 7 2.1e+001 2.7e+001 1.1e+003 3.09e-001 -2.925829704e+004 7.386619616e+003 9.2e-003 0.34 8 1.0e+001 1.4e+001 5.6e+002 5.77e-001 -1.588167379e+004 4.164140477e+003 4.6e-003 0.38 9 3.5e+000 4.6e+000 1.9e+002 8.05e-001 -5.462904049e+003 1.722932023e+003 1.6e-003 0.41 10 1.9e+000 2.5e+000 1.1e+002 9.60e-001 -2.918698930e+003 1.087351602e+003 8.7e-004 0.44 11 7.9e-001 1.0e+000 4.3e+001 9.90e-001 -1.189557920e+003 4.595374715e+002 3.6e-004 0.47 12 7.5e-001 9.9e-001 4.2e+001 9.63e-001 -1.163604971e+003 4.364476140e+002 3.4e-004 0.50 13 4.3e-001 5.6e-001 2.4e+001 9.80e-001 -6.537486003e+002 2.555476473e+002 2.0e-004 0.53 14 2.5e-001 3.3e-001 1.4e+001 1.00e+000 -3.627881971e+002 1.626702873e+002 1.1e-004 0.56 15 6.1e-002 1.6e-001 3.5e+000 9.99e-001 -9.361328978e+001 4.217585512e+001 3.0e-005 0.59 16 3.9e-002 1.1e-001 2.3e+000 1.01e+000 -5.757748657e+001 2.974622593e+001 1.9e-005 0.63 17 2.6e-002 8.3e-002 1.5e+000 1.02e+000 -3.546942676e+001 2.215803892e+001 1.3e-005 0.66 18 2.5e-002 7.8e-002 1.4e+000 1.03e+000 -3.230422516e+001 2.166615539e+001 1.2e-005 0.69 19 1.0e-002 5.4e-002 6.1e-001 1.03e+000 -6.637436242e+000 1.599791741e+001 5.2e-006 0.72 20 2.2e-003 1.2e-001 1.4e-001 1.02e+000 7.021075067e+000 1.204812972e+001 1.2e-006 0.75 21 1.6e-003 8.8e-002 9.8e-002 9.69e-001 8.014366116e+000 1.165637969e+001 8.4e-007 0.80 22 8.3e-004 6.9e-002 5.2e-002 9.58e-001 9.302907476e+000 1.128325471e+001 4.6e-007 0.83 23 4.0e-004 5.8e-002 2.6e-002 9.67e-001 1.008005091e+001 1.106595296e+001 2.3e-007 0.86 24 2.0e-004 5.9e-002 1.3e-002 9.79e-001 1.045893896e+001 1.096495917e+001 1.2e-007 0.91 25 1.1e-004 5.8e-002 6.9e-003 9.84e-001 1.064772102e+001 1.091448234e+001 6.3e-008 0.94 26 8.5e-005 5.0e-002 5.6e-003 9.84e-001 1.068786133e+001 1.090369515e+001 5.1e-008 0.97 27 7.9e-005 4.5e-002 5.2e-003 9.87e-001 1.070270331e+001 1.090330320e+001 4.7e-008 1.00 28 7.1e-005 4.2e-002 4.7e-003 9.99e-001 1.071907794e+001 1.089974963e+001 4.3e-008 1.03 29 6.4e-005 3.9e-002 4.2e-003 9.97e-001 1.073278377e+001 1.089541776e+001 3.8e-008 1.06 30 5.7e-005 3.5e-002 3.8e-003 9.97e-001 1.074531132e+001 1.089172601e+001 3.5e-008 1.09 31 5.2e-005 3.3e-002 3.4e-003 9.97e-001 1.075654931e+001 1.088835909e+001 3.1e-008 1.13 32 4.6e-005 3.0e-002 3.1e-003 9.98e-001 1.076663473e+001 1.088529383e+001 2.8e-008 1.16 33 4.2e-005 2.8e-002 2.8e-003 9.98e-001 1.077568269e+001 1.088250094e+001 2.5e-008 1.19 34 3.8e-005 2.6e-002 2.5e-003 9.98e-001 1.078380083e+001 1.087995796e+001 2.3e-008 1.22 35 3.4e-005 2.4e-002 2.2e-003 9.98e-001 1.079108555e+001 1.087764408e+001 2.0e-008 1.25 36 3.0e-005 2.2e-002 2.0e-003 9.99e-001 1.079762333e+001 1.087554014e+001 1.8e-008 1.28 37 2.7e-005 2.1e-002 1.8e-003 9.99e-001 1.080349156e+001 1.087362836e+001 1.7e-008 1.31 38 2.5e-005 2.0e-002 1.6e-003 9.99e-001 1.080875955e+001 1.087189228e+001 1.5e-008 1.34 39 2.2e-005 1.8e-002 1.5e-003 9.99e-001 1.081348931e+001 1.087031672e+001 1.3e-008 1.38 40 2.0e-005 1.7e-002 1.3e-003 9.99e-001 1.081773639e+001 1.086888760e+001 1.2e-008 1.41 41 1.8e-005 1.6e-002 1.2e-003 9.99e-001 1.082155053e+001 1.086759202e+001 1.1e-008 1.44 42 1.6e-005 1.5e-002 1.1e-003 1.00e+000 1.082497628e+001 1.086641809e+001 9.8e-009 1.45 43 1.5e-005 1.5e-002 9.7e-004 1.00e+000 1.082805353e+001 1.086535484e+001 8.8e-009 1.48 44 1.3e-005 1.4e-002 8.7e-004 1.00e+000 1.083081805e+001 1.086439227e+001 7.9e-009 1.52 45 1.2e-005 1.3e-002 7.8e-004 1.00e+000 1.083330186e+001 1.086352118e+001 7.1e-009 1.55 46 1.1e-005 1.3e-002 7.1e-004 1.00e+000 1.083553368e+001 1.086273315e+001 6.4e-009 1.58 47 9.5e-006 1.2e-002 6.3e-004 1.00e+000 1.083753925e+001 1.086202049e+001 5.8e-009 1.61 48 8.6e-006 1.2e-002 5.7e-004 1.00e+000 1.083934165e+001 1.086137619e+001 5.2e-009 1.64 49 7.7e-006 1.1e-002 5.1e-004 1.00e+000 1.084096156e+001 1.086079383e+001 4.7e-009 1.67 50 7.0e-006 1.1e-002 4.6e-004 1.00e+000 1.084241755e+001 1.086026758e+001 4.2e-009 1.70 51 6.3e-006 1.1e-002 4.2e-004 1.00e+000 1.084372625e+001 1.085979211e+001 3.8e-009 1.72 52 5.6e-006 1.0e-002 3.7e-004 1.00e+000 1.084490261e+001 1.085936256e+001 3.4e-009 1.75 53 5.1e-006 9.9e-003 3.4e-004 1.00e+000 1.084596004e+001 1.085897457e+001 3.1e-009 1.78 54 4.6e-006 9.7e-003 3.0e-004 1.00e+000 1.084691059e+001 1.085862415e+001 2.8e-009 1.81 55 4.1e-006 9.4e-003 2.7e-004 1.00e+000 1.084776515e+001 1.085830775e+001 2.5e-009 1.84 56 3.7e-006 9.2e-003 2.5e-004 1.00e+000 1.084853349e+001 1.085802218e+001 2.2e-009 1.88 57 3.3e-006 9.0e-003 2.2e-004 1.00e+000 1.084922442e+001 1.085776453e+001 2.0e-009 1.89 58 3.0e-006 8.9e-003 2.0e-004 1.00e+000 1.084984583e+001 1.085753216e+001 1.8e-009 1.92 59 2.7e-006 8.7e-003 1.8e-004 1.00e+000 1.085040477e+001 1.085732266e+001 1.6e-009 1.95 60 2.4e-006 8.6e-003 1.6e-004 1.00e+000 1.085090755e+001 1.085713383e+001 1.5e-009 1.98 61 2.2e-006 8.4e-003 1.5e-004 1.00e+000 1.085135985e+001 1.085696363e+001 1.3e-009 2.02 62 2.0e-006 8.3e-003 1.3e-004 1.00e+000 1.085176677e+001 1.085681029e+001 1.2e-009 2.05 63 1.8e-006 8.2e-003 1.2e-004 1.00e+000 1.085213287e+001 1.085667215e+001 1.1e-009 2.08 64 1.6e-006 8.1e-003 1.1e-004 1.00e+000 1.085246227e+001 1.085654769e+001 9.7e-010 2.11 65 1.4e-006 8.0e-003 9.5e-005 1.00e+000 1.085275865e+001 1.085643558e+001 8.7e-010 2.14 66 1.3e-006 7.9e-003 8.6e-005 1.00e+000 1.085302532e+001 1.085633463e+001 7.8e-010 2.17 67 1.2e-006 7.9e-003 7.7e-005 1.00e+000 1.085326527e+001 1.085624370e+001 7.0e-010 2.20 68 1.0e-006 7.8e-003 6.9e-005 1.00e+000 1.085348116e+001 1.085616178e+001 6.3e-010 2.23 69 9.4e-007 7.7e-003 6.3e-005 1.00e+000 1.085367541e+001 1.085608803e+001 5.7e-010 2.27 70 8.5e-007 7.7e-003 5.6e-005 1.00e+000 1.085385018e+001 1.085602157e+001 5.1e-010 2.30 71 7.6e-007 7.6e-003 5.1e-005 1.00e+000 1.085400741e+001 1.085596169e+001 4.6e-010 2.31 72 6.9e-007 7.6e-003 4.6e-005 1.00e+000 1.085414886e+001 1.085590774e+001 4.2e-010 2.34 73 6.2e-007 7.5e-003 4.1e-005 1.00e+000 1.085427612e+001 1.085585913e+001 3.7e-010 2.38 74 5.6e-007 7.5e-003 3.7e-005 1.00e+000 1.085439059e+001 1.085581535e+001 3.4e-010 2.39 75 5.0e-007 7.5e-003 3.3e-005 1.00e+000 1.085449359e+001 1.085577588e+001 3.0e-010 2.42 76 4.5e-007 7.4e-003 3.0e-005 1.00e+000 1.085458625e+001 1.085574034e+001 2.7e-010 2.45 77 4.0e-007 7.4e-003 2.7e-005 1.00e+000 1.085466963e+001 1.085570830e+001 2.5e-010 2.47 78 3.6e-007 7.4e-003 2.4e-005 1.00e+000 1.085474464e+001 1.085567948e+001 2.2e-010 2.50 79 3.3e-007 7.3e-003 2.2e-005 1.00e+000 1.085481214e+001 1.085565352e+001 2.0e-010 2.53 80 2.9e-007 7.3e-003 2.0e-005 1.00e+000 1.085487288e+001 1.085563015e+001 1.8e-010 2.55 81 2.7e-007 7.3e-003 1.8e-005 1.00e+000 1.085492755e+001 1.085560907e+001 1.6e-010 2.58 82 2.4e-007 7.3e-003 1.6e-005 9.99e-001 1.085497674e+001 1.085559014e+001 1.4e-010 2.59 83 2.1e-007 7.2e-003 1.4e-005 1.00e+000 1.085502100e+001 1.085557307e+001 1.3e-010 2.63 84 1.9e-007 7.2e-003 1.3e-005 1.00e+000 1.085506085e+001 1.085555769e+001 1.2e-010 2.66 85 1.7e-007 7.2e-003 1.2e-005 1.00e+000 1.085509670e+001 1.085554386e+001 1.1e-010 2.67 86 1.6e-007 7.2e-003 1.0e-005 9.99e-001 1.085512896e+001 1.085553143e+001 9.5e-011 2.70 87 1.4e-007 7.2e-003 9.4e-006 1.00e+000 1.085515799e+001 1.085552021e+001 8.6e-011 2.73 88 1.3e-007 7.2e-003 8.5e-006 1.00e+000 1.085518412e+001 1.085551013e+001 7.7e-011 2.75 89 1.1e-007 7.1e-003 7.6e-006 9.97e-001 1.085520763e+001 1.085550107e+001 6.9e-011 2.78 90 1.0e-007 7.1e-003 6.8e-006 1.00e+000 1.085522879e+001 1.085549288e+001 6.2e-011 2.80 91 9.3e-008 7.1e-003 6.2e-006 9.99e-001 1.085524784e+001 1.085548552e+001 5.6e-011 2.83 92 8.3e-008 7.1e-003 5.5e-006 1.00e+000 1.085526498e+001 1.085547888e+001 5.1e-011 2.86 93 7.5e-008 7.1e-003 5.0e-006 9.98e-001 1.085528040e+001 1.085547293e+001 4.5e-011 2.89 94 6.7e-008 6.4e-003 4.5e-006 1.00e+000 1.085529436e+001 1.085546752e+001 4.1e-011 2.91 95 6.1e-008 5.7e-003 4.0e-006 1.00e+000 1.085530690e+001 1.085546265e+001 3.7e-011 2.94 96 5.5e-008 5.2e-003 3.6e-006 9.98e-001 1.085531812e+001 1.085545832e+001 3.3e-011 2.95 97 4.9e-008 4.7e-003 3.3e-006 1.00e+000 1.085532824e+001 1.085545440e+001 3.0e-011 2.98 98 4.4e-008 4.2e-003 2.9e-006 9.91e-001 1.085533732e+001 1.085545091e+001 2.7e-011 3.02 99 4.0e-008 3.8e-003 2.7e-006 1.00e+000 1.085534557e+001 1.085544772e+001 2.4e-011 3.05 100 3.6e-008 3.4e-003 2.4e-006 9.95e-001 1.085535293e+001 1.085544489e+001 2.2e-011 3.09 101 3.2e-008 3.1e-003 2.1e-006 9.98e-001 1.085535955e+001 1.085544232e+001 2.0e-011 3.14 102 2.9e-008 2.7e-003 1.9e-006 9.96e-001 1.085536551e+001 1.085544003e+001 1.8e-011 3.17 103 2.6e-008 2.5e-003 1.7e-006 1.00e+000 1.085537087e+001 1.085543794e+001 1.6e-011 3.22 104 2.4e-008 2.2e-003 1.6e-006 1.00e+000 1.085537576e+001 1.085543604e+001 1.4e-011 3.25 105 2.1e-008 2.0e-003 1.4e-006 1.01e+000 1.085538020e+001 1.085543429e+001 1.3e-011 3.30 106 1.9e-008 1.8e-003 1.3e-006 9.96e-001 1.085538410e+001 1.085543278e+001 1.2e-011 3.33 107 1.7e-008 1.6e-003 1.1e-006 9.76e-001 1.085538760e+001 1.085543145e+001 1.0e-011 3.36 108 1.5e-008 1.5e-003 1.0e-006 1.00e+000 1.085539075e+001 1.085543021e+001 9.4e-012 3.39 109 1.4e-008 1.3e-003 9.2e-007 9.90e-001 1.085539359e+001 1.085542911e+001 8.5e-012 3.42 110 1.3e-008 1.2e-003 8.3e-007 9.98e-001 1.085539615e+001 1.085542812e+001 7.6e-012 3.45 111 1.1e-008 1.1e-003 7.5e-007 1.03e+000 1.085539879e+001 1.085542706e+001 7.0e-012 3.47 112 1.0e-008 9.6e-004 6.7e-007 9.95e-001 1.085540083e+001 1.085542625e+001 6.3e-012 3.52 113 9.1e-009 8.6e-004 6.1e-007 1.02e+000 1.085540286e+001 1.085542545e+001 5.7e-012 3.55 114 8.3e-009 7.8e-004 5.5e-007 1.01e+000 1.085540456e+001 1.085542479e+001 5.2e-012 3.58 115 7.5e-009 7.0e-004 4.9e-007 9.97e-001 1.085540601e+001 1.085542423e+001 4.7e-012 3.61 116 7.0e-009 6.3e-004 4.4e-007 1.02e+000 1.085540747e+001 1.085542357e+001 4.2e-012 3.63 117 5.1e-009 3.5e-005 2.4e-008 9.81e-001 1.085541853e+001 1.085541943e+001 2.6e-013 3.66 Interior-point optimizer terminated. Time: 3.67. Optimizer terminated. Time: 4.05 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0855418531e+001 nrm: 1e+001 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.0855419426e+001 nrm: 1e+003 Viol. con: 0e+000 var: 2e-004 * End solution on dual form. * Transforming to primal solution. Solving took 4.08 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.237081912e+005 2.000000000e+000 1.0e+000 0.06 1 1.7e+003 2.2e+003 9.3e+004 -9.71e-001 -1.230453652e+005 2.561401786e+000 7.5e-001 0.09 2 8.6e+002 1.1e+003 4.7e+004 -9.61e-001 -1.206082595e+005 4.626142858e+000 3.8e-001 0.11 3 2.9e+002 3.8e+002 1.6e+004 -9.21e-001 -1.118442719e+005 1.953487976e+001 1.3e-001 0.14 4 2.9e+002 3.7e+002 1.5e+004 -7.77e-001 -1.091251155e+005 2.126885456e+003 1.3e-001 0.17 5 9.3e+001 1.2e+002 5.1e+003 -7.60e-001 -8.008726069e+004 8.100940691e+003 4.1e-002 0.19 6 3.1e+001 4.0e+001 1.7e+003 -3.28e-001 -3.957623726e+004 1.094437612e+004 1.4e-002 0.23 7 1.9e+001 2.4e+001 1.0e+003 3.82e-001 -2.670427430e+004 6.840759148e+003 8.3e-003 0.27 8 1.2e+001 1.6e+001 6.8e+002 6.24e-001 -1.901810123e+004 4.715531237e+003 5.6e-003 0.30 9 4.9e+000 6.4e+000 2.7e+002 7.53e-001 -7.817422014e+003 2.149934026e+003 2.2e-003 0.33 10 2.2e+000 2.9e+000 1.2e+002 9.27e-001 -3.379822476e+003 1.233513736e+003 1.0e-003 0.36 11 1.1e+000 1.5e+000 6.2e+001 9.85e-001 -1.695749282e+003 6.613689281e+002 5.1e-004 0.39 12 7.7e-001 1.0e+000 4.2e+001 9.89e-001 -1.172098694e+003 4.619895336e+002 3.5e-004 0.41 13 5.4e-001 7.5e-001 3.0e+001 9.67e-001 -8.363557248e+002 3.244543488e+002 2.5e-004 0.44 14 2.9e-001 4.0e-001 1.6e+001 9.98e-001 -4.275311992e+002 1.927711209e+002 1.3e-004 0.45 15 9.0e-002 1.6e-001 5.1e+000 1.00e+000 -1.362443836e+002 6.023901905e+001 4.3e-005 0.48 16 4.8e-002 1.1e-001 2.8e+000 1.01e+000 -7.216635562e+001 3.380952296e+001 2.3e-005 0.52 17 4.5e-002 1.0e-001 2.6e+000 1.02e+000 -6.714241214e+001 3.223706834e+001 2.2e-005 0.53 18 3.1e-002 7.6e-002 1.8e+000 1.02e+000 -4.263966634e+001 2.443841269e+001 1.5e-005 0.56 19 2.9e-002 7.2e-002 1.7e+000 1.02e+000 -3.985311918e+001 2.399985017e+001 1.4e-005 0.59 20 1.3e-002 6.0e-002 7.7e-001 1.02e+000 -1.149720844e+001 1.738125412e+001 6.5e-006 0.61 21 3.4e-003 8.9e-002 2.0e-001 1.02e+000 5.073455784e+000 1.246448547e+001 1.7e-006 0.64 22 1.6e-003 6.6e-002 9.6e-002 9.90e-001 7.799600299e+000 1.139722739e+001 8.4e-007 0.67 23 1.2e-003 6.2e-002 7.4e-002 9.43e-001 8.472480481e+000 1.128732931e+001 6.5e-007 0.69 24 3.1e-004 9.4e-002 2.1e-002 9.45e-001 1.012638922e+001 1.094379692e+001 2.0e-007 0.72 25 1.7e-004 8.2e-002 1.2e-002 9.56e-001 1.042443483e+001 1.088524366e+001 1.1e-007 0.73 26 1.5e-004 7.9e-002 1.0e-002 9.75e-001 1.047966713e+001 1.087280070e+001 9.5e-008 0.77 27 1.1e-004 6.3e-002 7.3e-003 9.43e-001 1.056777162e+001 1.085466218e+001 6.9e-008 0.80 28 4.6e-005 5.9e-002 3.3e-003 9.51e-001 1.070082679e+001 1.082998938e+001 3.1e-008 0.81 29 4.2e-005 5.5e-002 3.0e-003 9.97e-001 1.071489604e+001 1.083130352e+001 2.8e-008 0.84 30 3.8e-005 5.0e-002 2.7e-003 9.95e-001 1.072436765e+001 1.082914121e+001 2.5e-008 0.86 31 3.4e-005 4.6e-002 2.4e-003 9.95e-001 1.073289518e+001 1.082721996e+001 2.3e-008 0.89 32 3.0e-005 4.2e-002 2.2e-003 9.95e-001 1.074056085e+001 1.082548529e+001 2.0e-008 0.92 33 2.7e-005 3.9e-002 1.9e-003 9.96e-001 1.074744883e+001 1.082390830e+001 1.8e-008 0.94 34 2.5e-005 3.5e-002 1.7e-003 9.97e-001 1.075363238e+001 1.082246660e+001 1.7e-008 0.97 35 2.2e-005 3.2e-002 1.6e-003 9.98e-001 1.075918253e+001 1.082114857e+001 1.5e-008 1.00 36 2.0e-005 3.0e-002 1.4e-003 9.98e-001 1.076416442e+001 1.081994533e+001 1.3e-008 1.02 37 1.8e-005 2.8e-002 1.3e-003 9.99e-001 1.076863701e+001 1.081884873e+001 1.2e-008 1.05 38 1.6e-005 2.6e-002 1.1e-003 9.99e-001 1.077265300e+001 1.081785060e+001 1.1e-008 1.06 39 1.5e-005 2.4e-002 1.0e-003 9.99e-001 1.077625948e+001 1.081694293e+001 9.8e-009 1.09 40 1.3e-005 2.2e-002 9.3e-004 9.99e-001 1.077949853e+001 1.081611816e+001 8.8e-009 1.11 41 1.2e-005 2.1e-002 8.4e-004 9.99e-001 1.078240785e+001 1.081536916e+001 7.9e-009 1.14 42 1.1e-005 1.9e-002 7.5e-004 1.00e+000 1.078502121e+001 1.081468935e+001 7.1e-009 1.16 43 9.6e-006 1.8e-002 6.8e-004 1.00e+000 1.078736890e+001 1.081407261e+001 6.4e-009 1.19 44 8.6e-006 1.7e-002 6.1e-004 1.00e+000 1.078947806e+001 1.081351334e+001 5.8e-009 1.20 45 7.7e-006 1.6e-002 5.5e-004 1.00e+000 1.079137305e+001 1.081300638e+001 5.2e-009 1.24 46 7.0e-006 1.5e-002 4.9e-004 1.00e+000 1.079307570e+001 1.081254698e+001 4.7e-009 1.25 47 6.3e-006 1.4e-002 4.4e-004 1.00e+000 1.079460560e+001 1.081213080e+001 4.2e-009 1.28 48 5.6e-006 1.4e-002 4.0e-004 1.00e+000 1.079598033e+001 1.081175386e+001 3.8e-009 1.31 49 5.1e-006 1.3e-002 3.6e-004 1.00e+000 1.079721565e+001 1.081141253e+001 3.4e-009 1.33 50 4.6e-006 1.2e-002 3.2e-004 1.00e+000 1.079832572e+001 1.081110349e+001 3.1e-009 1.36 51 4.1e-006 1.2e-002 2.9e-004 1.00e+000 1.079932327e+001 1.081082373e+001 2.8e-009 1.38 52 3.7e-006 1.1e-002 2.6e-004 1.00e+000 1.080021977e+001 1.081057057e+001 2.5e-009 1.41 53 3.3e-006 1.1e-002 2.4e-004 1.00e+000 1.080102554e+001 1.081034158e+001 2.2e-009 1.42 54 3.0e-006 1.1e-002 2.1e-004 1.00e+000 1.080174988e+001 1.081013458e+001 2.0e-009 1.45 55 2.7e-006 1.0e-002 1.9e-004 1.00e+000 1.080240110e+001 1.080994756e+001 1.8e-009 1.47 56 2.4e-006 1.0e-002 1.7e-004 1.00e+000 1.080298664e+001 1.080977864e+001 1.6e-009 1.50 57 2.2e-006 9.7e-003 1.5e-004 1.00e+000 1.080351318e+001 1.080962613e+001 1.5e-009 1.53 58 2.0e-006 9.4e-003 1.4e-004 1.00e+000 1.080398670e+001 1.080948846e+001 1.3e-009 1.56 59 1.8e-006 9.2e-003 1.3e-004 1.00e+000 1.080441256e+001 1.080936424e+001 1.2e-009 1.59 60 1.6e-006 9.0e-003 1.1e-004 1.00e+000 1.080479557e+001 1.080925218e+001 1.1e-009 1.61 61 1.4e-006 8.8e-003 1.0e-004 1.00e+000 1.080514007e+001 1.080915108e+001 9.7e-010 1.64 62 1.3e-006 8.6e-003 9.1e-005 1.00e+000 1.080544994e+001 1.080905991e+001 8.7e-010 1.66 63 1.2e-006 8.5e-003 8.2e-005 1.00e+000 1.080572867e+001 1.080897769e+001 7.8e-010 1.69 64 1.0e-006 8.3e-003 7.4e-005 1.00e+000 1.080597939e+001 1.080890355e+001 7.0e-010 1.70 65 9.4e-007 8.2e-003 6.7e-005 1.00e+000 1.080620492e+001 1.080883670e+001 6.3e-010 1.74 66 8.5e-007 8.1e-003 6.0e-005 1.00e+000 1.080640778e+001 1.080877643e+001 5.7e-010 1.75 67 7.6e-007 8.0e-003 5.4e-005 1.00e+000 1.080659026e+001 1.080872206e+001 5.1e-010 1.78 68 6.9e-007 7.9e-003 4.9e-005 1.00e+000 1.080675440e+001 1.080867303e+001 4.6e-010 1.80 69 6.2e-007 7.8e-003 4.4e-005 1.00e+000 1.080690203e+001 1.080862883e+001 4.2e-010 1.83 70 5.6e-007 7.7e-003 3.9e-005 1.00e+000 1.080703483e+001 1.080858897e+001 3.7e-010 1.84 71 5.0e-007 7.6e-003 3.5e-005 1.00e+000 1.080715428e+001 1.080855302e+001 3.4e-010 1.88 72 4.5e-007 7.6e-003 3.2e-005 1.00e+000 1.080726174e+001 1.080852059e+001 3.0e-010 1.91 73 4.1e-007 7.5e-003 2.9e-005 1.00e+000 1.080735840e+001 1.080849139e+001 2.7e-010 1.92 74 3.6e-007 7.5e-003 2.6e-005 1.00e+000 1.080744538e+001 1.080846508e+001 2.5e-010 1.95 75 3.3e-007 7.4e-003 2.3e-005 1.00e+000 1.080752363e+001 1.080844136e+001 2.2e-010 1.97 76 3.0e-007 7.4e-003 2.1e-005 1.00e+000 1.080759405e+001 1.080842001e+001 2.0e-010 2.00 77 2.7e-007 7.3e-003 1.9e-005 1.00e+000 1.080765742e+001 1.080840079e+001 1.8e-010 2.02 78 2.4e-007 7.3e-003 1.7e-005 1.00e+000 1.080771445e+001 1.080838348e+001 1.6e-010 2.05 79 2.2e-007 7.2e-003 1.5e-005 1.00e+000 1.080776578e+001 1.080836789e+001 1.5e-010 2.06 80 1.9e-007 7.2e-003 1.4e-005 1.00e+000 1.080781197e+001 1.080835388e+001 1.3e-010 2.09 81 1.7e-007 7.2e-003 1.2e-005 1.00e+000 1.080785354e+001 1.080834128e+001 1.2e-010 2.11 82 1.6e-007 7.2e-003 1.1e-005 1.00e+000 1.080789096e+001 1.080832993e+001 1.1e-010 2.14 83 1.4e-007 7.1e-003 1.0e-005 1.00e+000 1.080792462e+001 1.080831978e+001 9.5e-011 2.16 84 1.3e-007 7.1e-003 9.0e-006 1.00e+000 1.080795494e+001 1.080831059e+001 8.6e-011 2.19 85 1.1e-007 7.1e-003 8.1e-006 1.00e+000 1.080798223e+001 1.080830230e+001 7.7e-011 2.22 86 1.0e-007 7.1e-003 7.3e-006 1.00e+000 1.080800679e+001 1.080829485e+001 6.9e-011 2.23 87 9.3e-008 7.0e-003 6.6e-006 9.99e-001 1.080802889e+001 1.080828817e+001 6.2e-011 2.27 88 8.3e-008 7.0e-003 5.9e-006 1.00e+000 1.080804879e+001 1.080828214e+001 5.6e-011 2.28 89 7.5e-008 7.0e-003 5.3e-006 1.00e+000 1.080806670e+001 1.080827671e+001 5.1e-011 2.31 90 6.8e-008 7.0e-003 4.8e-006 1.00e+000 1.080808283e+001 1.080827183e+001 4.6e-011 2.33 91 6.1e-008 7.0e-003 4.3e-006 1.00e+000 1.080809734e+001 1.080826742e+001 4.1e-011 2.36 92 5.5e-008 7.0e-003 3.9e-006 9.99e-001 1.080811040e+001 1.080826347e+001 3.7e-011 2.38 93 4.9e-008 6.9e-003 3.5e-006 1.00e+000 1.080812215e+001 1.080825991e+001 3.3e-011 2.41 94 4.4e-008 6.9e-003 3.1e-006 9.98e-001 1.080813274e+001 1.080825671e+001 3.0e-011 2.42 95 4.0e-008 6.9e-003 2.8e-006 1.00e+000 1.080814226e+001 1.080825382e+001 2.7e-011 2.45 96 3.6e-008 6.9e-003 2.5e-006 1.00e+000 1.080815083e+001 1.080825123e+001 2.4e-011 2.47 97 3.2e-008 6.9e-003 2.3e-006 1.00e+000 1.080815854e+001 1.080824891e+001 2.2e-011 2.52 98 2.9e-008 6.9e-003 2.1e-006 1.00e+000 1.080816548e+001 1.080824681e+001 2.0e-011 2.55 99 2.6e-008 6.2e-003 1.9e-006 1.00e+000 1.080817178e+001 1.080824490e+001 1.8e-011 2.58 100 2.4e-008 5.6e-003 1.7e-006 9.98e-001 1.080817740e+001 1.080824321e+001 1.6e-011 2.61 101 2.1e-008 5.0e-003 1.5e-006 1.01e+000 1.080818257e+001 1.080824165e+001 1.4e-011 2.63 102 1.9e-008 4.5e-003 1.4e-006 1.01e+000 1.080818723e+001 1.080824023e+001 1.3e-011 2.66 103 1.7e-008 4.1e-003 1.2e-006 1.01e+000 1.080819146e+001 1.080823894e+001 1.2e-011 2.67 104 1.5e-008 3.7e-003 1.1e-006 1.00e+000 1.080819512e+001 1.080823784e+001 1.1e-011 2.70 105 1.4e-008 3.3e-003 9.9e-007 9.95e-001 1.080819840e+001 1.080823687e+001 9.5e-012 2.73 106 1.3e-008 3.0e-003 8.9e-007 1.00e+000 1.080820135e+001 1.080823598e+001 8.5e-012 2.77 107 1.1e-008 2.7e-003 8.0e-007 1.01e+000 1.080820414e+001 1.080823513e+001 7.7e-012 2.78 108 1.0e-008 2.4e-003 7.2e-007 9.99e-001 1.080820654e+001 1.080823434e+001 6.9e-012 2.81 109 1.0e-008 2.2e-003 6.5e-007 1.02e+000 1.080820881e+001 1.080823374e+001 6.3e-012 2.84 110 1.2e-007 2.0e-003 5.9e-007 9.97e-001 1.080820900e+001 1.080823819e+001 5.5e-012 2.86 111 1.1e-007 1.8e-003 5.3e-007 1.02e+000 1.080821103e+001 1.080823755e+001 5.0e-012 2.89 112 9.9e-008 1.6e-003 4.8e-007 1.02e+000 1.080821288e+001 1.080823648e+001 4.6e-012 2.91 113 9.0e-008 1.4e-003 4.3e-007 9.97e-001 1.080821439e+001 1.080823560e+001 4.1e-012 2.94 114 8.0e-008 1.3e-003 3.8e-007 9.79e-001 1.080821575e+001 1.080823487e+001 3.7e-012 2.97 115 7.3e-008 1.2e-003 3.5e-007 1.01e+000 1.080821704e+001 1.080823409e+001 3.3e-012 2.98 116 6.6e-008 1.0e-003 3.1e-007 9.96e-001 1.080821813e+001 1.080823349e+001 3.0e-012 3.02 117 6.1e-008 9.4e-004 2.8e-007 1.06e+000 1.080821935e+001 1.080823211e+001 2.8e-012 3.03 118 4.2e-008 8.5e-004 2.5e-007 9.97e-001 1.080822022e+001 1.080823158e+001 2.5e-012 3.06 119 3.8e-008 7.6e-004 2.3e-007 1.00e+000 1.080822099e+001 1.080823120e+001 2.2e-012 3.09 120 3.4e-008 6.8e-004 2.0e-007 1.00e+000 1.080822169e+001 1.080823088e+001 2.0e-012 3.11 121 3.1e-008 6.2e-004 1.8e-007 1.00e+000 1.080822232e+001 1.080823058e+001 1.8e-012 3.14 122 2.7e-008 5.5e-004 1.7e-007 1.00e+000 1.080822289e+001 1.080823033e+001 1.6e-012 3.17 123 2.5e-008 5.0e-004 1.5e-007 1.01e+000 1.080822341e+001 1.080823008e+001 1.5e-012 3.19 124 2.2e-008 4.5e-004 1.3e-007 1.01e+000 1.080822388e+001 1.080822986e+001 1.3e-012 3.22 125 2.0e-008 4.0e-004 1.2e-007 1.01e+000 1.080822430e+001 1.080822967e+001 1.2e-012 3.25 126 1.8e-008 3.6e-004 1.1e-007 9.98e-001 1.080822467e+001 1.080822950e+001 1.1e-012 3.27 127 1.6e-008 3.3e-004 9.8e-008 9.91e-001 1.080822500e+001 1.080822935e+001 9.8e-013 3.30 Interior-point optimizer terminated. Time: 3.30. Optimizer terminated. Time: 3.81 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0808224996e+001 nrm: 1e+001 Viol. con: 3e-007 var: 0e+000 Dual. obj: 1.0808229347e+001 nrm: 1e+003 Viol. con: 0e+000 var: 3e-003 * End solution on dual form. * Transforming to primal solution. Solving took 3.86 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.03 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.237074293e+005 2.000000000e+000 1.0e+000 0.06 1 1.7e+003 2.2e+003 9.3e+004 -9.71e-001 -1.230448388e+005 2.560664385e+000 7.5e-001 0.14 2 8.7e+002 1.1e+003 4.7e+004 -9.61e-001 -1.206111207e+005 4.620440581e+000 3.8e-001 0.19 3 2.9e+002 3.8e+002 1.6e+004 -9.21e-001 -1.118405816e+005 1.950314053e+001 1.3e-001 0.23 4 2.8e+002 3.7e+002 1.5e+004 -7.77e-001 -1.090963198e+005 2.124973210e+003 1.3e-001 0.27 5 9.1e+001 1.2e+002 4.9e+003 -7.60e-001 -7.933252879e+004 8.249165606e+003 4.0e-002 0.30 6 3.0e+001 3.9e+001 1.6e+003 -3.16e-001 -3.822901007e+004 1.088312296e+004 1.3e-002 0.34 7 1.8e+001 2.3e+001 9.6e+002 4.07e-001 -2.558928100e+004 6.604921191e+003 7.8e-003 0.39 8 1.2e+001 1.6e+001 6.6e+002 6.43e-001 -1.870479127e+004 4.657560031e+003 5.4e-003 0.47 9 4.7e+000 6.1e+000 2.6e+002 7.58e-001 -7.528571976e+003 2.069247467e+003 2.1e-003 0.50 10 2.0e+000 2.7e+000 1.1e+002 9.31e-001 -3.090188935e+003 1.179257054e+003 9.2e-004 0.56 11 8.5e-001 1.1e+000 4.7e+001 9.89e-001 -1.271955454e+003 5.146407703e+002 3.9e-004 0.59 12 8.0e-001 1.0e+000 4.4e+001 9.68e-001 -1.232067172e+003 4.833079517e+002 3.7e-004 0.64 13 4.9e-001 6.3e-001 2.7e+001 9.75e-001 -7.594038429e+002 2.914614177e+002 2.2e-004 0.67 14 3.1e-001 4.2e-001 1.7e+001 1.00e+000 -4.599580329e+002 2.068099572e+002 1.4e-004 0.70 15 9.1e-002 2.0e-001 5.2e+000 9.95e-001 -1.395739501e+002 6.105210643e+001 4.4e-005 0.73 16 4.8e-002 1.2e-001 2.8e+000 1.01e+000 -7.211277762e+001 3.363273660e+001 2.3e-005 0.77 17 4.3e-002 1.1e-001 2.5e+000 1.02e+000 -6.453807430e+001 3.122424460e+001 2.1e-005 0.80 18 2.8e-002 7.9e-002 1.6e+000 1.02e+000 -3.898346426e+001 2.302876164e+001 1.4e-005 0.83 19 2.6e-002 7.2e-002 1.5e+000 1.03e+000 -3.399473801e+001 2.223676286e+001 1.3e-005 0.86 20 9.3e-003 7.6e-002 5.4e-001 1.03e+000 -4.765325932e+000 1.529259757e+001 4.6e-006 0.88 21 2.8e-003 8.2e-002 1.7e-001 1.02e+000 5.960284706e+000 1.221258139e+001 1.5e-006 0.91 22 1.3e-003 6.7e-002 7.8e-002 9.76e-001 8.477418379e+000 1.139364554e+001 6.9e-007 0.94 23 8.3e-004 6.7e-002 5.2e-002 9.46e-001 9.218249452e+000 1.119004214e+001 4.6e-007 0.97 24 2.9e-004 6.9e-002 1.9e-002 9.50e-001 1.018619173e+001 1.093003857e+001 1.8e-007 0.98 25 1.7e-004 6.7e-002 1.1e-002 9.71e-001 1.041633487e+001 1.086657858e+001 1.1e-007 1.01 26 1.6e-004 6.2e-002 1.1e-002 9.80e-001 1.044297870e+001 1.085950679e+001 9.8e-008 1.03 27 1.3e-004 5.5e-002 8.2e-003 9.76e-001 1.051734946e+001 1.084001290e+001 7.6e-008 1.06 28 6.8e-005 5.0e-002 4.5e-003 9.71e-001 1.063468064e+001 1.081215090e+001 4.2e-008 1.09 29 6.1e-005 4.3e-002 4.1e-003 9.86e-001 1.065163736e+001 1.081163816e+001 3.8e-008 1.11 30 5.5e-005 3.8e-002 3.6e-003 9.94e-001 1.066435682e+001 1.080841173e+001 3.4e-008 1.14 31 4.9e-005 3.5e-002 3.3e-003 9.94e-001 1.067605779e+001 1.080576371e+001 3.1e-008 1.16 32 4.5e-005 3.2e-002 3.0e-003 9.95e-001 1.068650528e+001 1.080328826e+001 2.7e-008 1.19 33 4.0e-005 3.0e-002 2.7e-003 9.95e-001 1.069588207e+001 1.080102734e+001 2.5e-008 1.20 34 3.6e-005 2.8e-002 2.4e-003 9.96e-001 1.070429766e+001 1.079896150e+001 2.2e-008 1.23 35 3.2e-005 2.6e-002 2.2e-003 9.96e-001 1.071185157e+001 1.079707612e+001 2.0e-008 1.26 36 2.9e-005 2.4e-002 1.9e-003 9.97e-001 1.071863237e+001 1.079535662e+001 1.8e-008 1.28 37 2.6e-005 2.2e-002 1.7e-003 9.97e-001 1.072471967e+001 1.079378961e+001 1.6e-008 1.31 38 2.4e-005 2.1e-002 1.6e-003 9.98e-001 1.073018483e+001 1.079236259e+001 1.5e-008 1.34 39 2.1e-005 1.9e-002 1.4e-003 9.98e-001 1.073509182e+001 1.079106392e+001 1.3e-008 1.38 40 1.9e-005 1.8e-002 1.3e-003 9.98e-001 1.073949803e+001 1.078988283e+001 1.2e-008 1.41 41 1.7e-005 1.7e-002 1.1e-003 9.98e-001 1.074345489e+001 1.078880931e+001 1.1e-008 1.44 42 1.6e-005 1.6e-002 1.0e-003 9.99e-001 1.074700854e+001 1.078783413e+001 9.6e-009 1.47 43 1.4e-005 1.5e-002 9.3e-004 9.99e-001 1.075020032e+001 1.078694878e+001 8.6e-009 1.50 44 1.3e-005 1.5e-002 8.4e-004 9.99e-001 1.075306734e+001 1.078614539e+001 7.8e-009 1.53 45 1.1e-005 1.4e-002 7.5e-004 9.99e-001 1.075564285e+001 1.078541672e+001 7.0e-009 1.56 46 1.0e-005 1.3e-002 6.8e-004 9.99e-001 1.075795668e+001 1.078475614e+001 6.3e-009 1.59 47 9.2e-006 1.3e-002 6.1e-004 9.99e-001 1.076003557e+001 1.078415752e+001 5.7e-009 1.63 48 8.2e-006 1.2e-002 5.5e-004 1.00e+000 1.076190353e+001 1.078361527e+001 5.1e-009 1.67 49 7.4e-006 1.2e-002 4.9e-004 1.00e+000 1.076358205e+001 1.078312426e+001 4.6e-009 1.70 50 6.7e-006 1.1e-002 4.4e-004 1.00e+000 1.076509045e+001 1.078267978e+001 4.1e-009 1.72 51 6.0e-006 1.1e-002 4.0e-004 1.00e+000 1.076644602e+001 1.078227753e+001 3.7e-009 1.75 52 5.4e-006 1.0e-002 3.6e-004 1.00e+000 1.076766430e+001 1.078191356e+001 3.4e-009 1.80 53 4.9e-006 1.0e-002 3.2e-004 1.00e+000 1.076875922e+001 1.078158430e+001 3.0e-009 1.83 54 4.4e-006 9.9e-003 2.9e-004 1.00e+000 1.076974332e+001 1.078128651e+001 2.7e-009 1.86 55 3.9e-006 9.6e-003 2.6e-004 1.00e+000 1.077062787e+001 1.078101725e+001 2.4e-009 1.89 56 3.5e-006 9.4e-003 2.4e-004 1.00e+000 1.077142304e+001 1.078077391e+001 2.2e-009 1.94 57 3.2e-006 9.2e-003 2.1e-004 1.00e+000 1.077213797e+001 1.078055410e+001 2.0e-009 1.97 58 2.9e-006 9.0e-003 1.9e-004 1.00e+000 1.077278083e+001 1.078035564e+001 1.8e-009 1.98 59 2.6e-006 8.8e-003 1.7e-004 1.00e+000 1.077335894e+001 1.078017651e+001 1.6e-009 2.02 60 2.3e-006 8.6e-003 1.6e-004 1.00e+000 1.077387886e+001 1.078001488e+001 1.4e-009 2.05 61 2.1e-006 8.5e-003 1.4e-004 1.00e+000 1.077434648e+001 1.077986906e+001 1.3e-009 2.08 62 1.9e-006 8.3e-003 1.3e-004 1.00e+000 1.077476707e+001 1.077973753e+001 1.2e-009 2.09 63 1.7e-006 8.2e-003 1.1e-004 1.00e+000 1.077514539e+001 1.077961892e+001 1.1e-009 2.13 64 1.5e-006 8.1e-003 1.0e-004 1.00e+000 1.077548568e+001 1.077951196e+001 9.5e-010 2.16 65 1.4e-006 8.0e-003 9.2e-005 1.00e+000 1.077579179e+001 1.077941553e+001 8.5e-010 2.19 66 1.2e-006 7.9e-003 8.2e-005 1.00e+000 1.077606716e+001 1.077932859e+001 7.7e-010 2.20 67 1.1e-006 7.8e-003 7.4e-005 1.00e+000 1.077631486e+001 1.077925021e+001 6.9e-010 2.23 68 1.0e-006 7.8e-003 6.7e-005 1.00e+000 1.077653769e+001 1.077917956e+001 6.2e-010 2.27 69 9.0e-007 7.7e-003 6.0e-005 1.00e+000 1.077673813e+001 1.077911586e+001 5.6e-010 2.28 70 8.1e-007 7.6e-003 5.4e-005 1.00e+000 1.077691844e+001 1.077905843e+001 5.0e-010 2.31 71 7.3e-007 7.6e-003 4.9e-005 1.00e+000 1.077708063e+001 1.077900664e+001 4.5e-010 2.34 72 6.6e-007 7.5e-003 4.4e-005 1.00e+000 1.077722652e+001 1.077895994e+001 4.1e-010 2.36 73 5.9e-007 7.5e-003 3.9e-005 1.00e+000 1.077735774e+001 1.077891784e+001 3.7e-010 2.39 74 5.3e-007 7.4e-003 3.5e-005 1.00e+000 1.077747578e+001 1.077887989e+001 3.3e-010 2.64 75 4.8e-007 7.4e-003 3.2e-005 1.00e+000 1.077758197e+001 1.077884568e+001 3.0e-010 2.67 76 4.3e-007 7.3e-003 2.9e-005 1.00e+000 1.077767749e+001 1.077881485e+001 2.7e-010 2.70 77 3.9e-007 7.3e-003 2.6e-005 1.00e+000 1.077776344e+001 1.077878707e+001 2.4e-010 2.72 78 3.5e-007 7.3e-003 2.3e-005 1.00e+000 1.077784076e+001 1.077876204e+001 2.2e-010 2.75 79 3.1e-007 7.2e-003 2.1e-005 1.00e+000 1.077791034e+001 1.077873949e+001 2.0e-010 2.77 80 2.8e-007 7.2e-003 1.9e-005 1.00e+000 1.077797295e+001 1.077871920e+001 1.8e-010 2.80 81 2.5e-007 7.2e-003 1.7e-005 1.00e+000 1.077802930e+001 1.077870089e+001 1.6e-010 2.81 82 2.3e-007 7.1e-003 1.5e-005 1.00e+000 1.077807999e+001 1.077868444e+001 1.4e-010 2.84 83 2.1e-007 7.1e-003 1.4e-005 1.00e+000 1.077812560e+001 1.077866965e+001 1.3e-010 2.88 84 1.9e-007 7.1e-003 1.2e-005 1.00e+000 1.077816666e+001 1.077865630e+001 1.2e-010 2.91 85 1.7e-007 7.1e-003 1.1e-005 1.00e+000 1.077820361e+001 1.077864428e+001 1.0e-010 2.94 86 1.5e-007 7.1e-003 1.0e-005 1.00e+000 1.077823686e+001 1.077863345e+001 9.3e-011 2.95 87 1.4e-007 7.0e-003 9.0e-006 1.00e+000 1.077826679e+001 1.077862369e+001 8.4e-011 2.98 88 1.2e-007 7.0e-003 8.1e-006 1.00e+000 1.077829373e+001 1.077861487e+001 7.6e-011 3.00 89 1.1e-007 7.0e-003 7.3e-006 1.00e+000 1.077831795e+001 1.077860703e+001 6.8e-011 3.03 90 9.9e-008 7.0e-003 6.6e-006 1.00e+000 1.077833976e+001 1.077859993e+001 6.1e-011 3.05 91 8.9e-008 7.0e-003 5.9e-006 1.00e+000 1.077835938e+001 1.077859354e+001 5.5e-011 3.08 92 8.0e-008 7.0e-003 5.3e-006 1.00e+000 1.077837705e+001 1.077858777e+001 5.0e-011 3.09 93 7.2e-008 7.0e-003 4.8e-006 1.00e+000 1.077839294e+001 1.077858258e+001 4.5e-011 3.13 94 6.5e-008 6.9e-003 4.3e-006 1.00e+000 1.077840723e+001 1.077857798e+001 4.0e-011 3.14 95 5.9e-008 6.8e-003 3.9e-006 1.00e+000 1.077842001e+001 1.077857409e+001 3.6e-011 3.17 96 5.3e-008 6.8e-003 3.5e-006 1.00e+000 1.077843160e+001 1.077857027e+001 3.3e-011 3.20 97 4.7e-008 6.2e-003 3.1e-006 1.00e+000 1.077844209e+001 1.077856681e+001 2.9e-011 3.22 98 4.3e-008 5.5e-003 2.8e-006 1.00e+000 1.077845147e+001 1.077856371e+001 2.6e-011 3.25 99 3.8e-008 5.0e-003 2.5e-006 1.00e+000 1.077845992e+001 1.077856093e+001 2.4e-011 3.27 100 3.5e-008 4.5e-003 2.3e-006 1.00e+000 1.077846752e+001 1.077855843e+001 2.1e-011 3.30 101 3.1e-008 4.0e-003 2.1e-006 1.00e+000 1.077847436e+001 1.077855617e+001 1.9e-011 3.31 102 2.8e-008 3.6e-003 1.9e-006 1.00e+000 1.077848052e+001 1.077855414e+001 1.7e-011 3.34 103 2.5e-008 3.3e-003 1.7e-006 1.00e+000 1.077848608e+001 1.077855230e+001 1.6e-011 3.36 104 2.3e-008 2.9e-003 1.5e-006 1.00e+000 1.077849106e+001 1.077855066e+001 1.4e-011 3.39 105 2.0e-008 2.7e-003 1.4e-006 1.01e+000 1.077849564e+001 1.077854914e+001 1.3e-011 3.41 106 1.8e-008 2.4e-003 1.2e-006 1.00e+000 1.077849971e+001 1.077854778e+001 1.1e-011 3.44 107 1.7e-008 2.1e-003 1.1e-006 1.01e+000 1.077850342e+001 1.077854654e+001 1.0e-011 3.45 108 1.5e-008 1.9e-003 9.9e-007 1.00e+000 1.077850671e+001 1.077854546e+001 9.3e-012 3.48 109 1.3e-008 1.7e-003 8.9e-007 9.96e-001 1.077850962e+001 1.077854450e+001 8.3e-012 3.50 110 1.2e-008 1.6e-003 8.0e-007 1.00e+000 1.077851227e+001 1.077854363e+001 7.5e-012 3.53 111 1.1e-008 1.4e-003 7.2e-007 9.98e-001 1.077851463e+001 1.077854286e+001 6.8e-012 3.56 112 9.8e-009 1.3e-003 6.5e-007 1.00e+000 1.077851678e+001 1.077854215e+001 6.1e-012 3.63 113 2.4e-008 1.1e-003 6.9e-007 1.00e+000 1.077851450e+001 1.077854152e+001 5.5e-012 3.64 114 2.2e-008 1.0e-003 6.2e-007 1.01e+000 1.077851675e+001 1.077854093e+001 5.0e-012 3.67 115 2.0e-008 9.2e-004 5.6e-007 1.01e+000 1.077851871e+001 1.077854040e+001 4.5e-012 3.69 116 1.8e-008 8.3e-004 5.0e-007 9.82e-001 1.077852042e+001 1.077853996e+001 4.0e-012 3.72 117 1.6e-008 7.5e-004 4.5e-007 9.90e-001 1.077852196e+001 1.077853955e+001 3.6e-012 3.75 118 1.6e-008 6.7e-004 4.1e-007 1.01e+000 1.077852344e+001 1.077853908e+001 3.3e-012 3.77 119 2.4e-008 6.1e-004 3.7e-007 1.01e+000 1.077852480e+001 1.077853862e+001 3.0e-012 3.80 120 2.2e-008 5.5e-004 3.3e-007 9.83e-001 1.077852591e+001 1.077853835e+001 2.7e-012 3.81 121 2.0e-008 4.9e-004 3.0e-007 9.69e-001 1.077852690e+001 1.077853811e+001 2.4e-012 3.84 122 1.8e-008 4.4e-004 2.7e-007 1.01e+000 1.077852783e+001 1.077853788e+001 2.2e-012 3.86 123 1.6e-008 4.0e-004 2.4e-007 9.99e-001 1.077852864e+001 1.077853768e+001 1.9e-012 3.89 124 1.5e-008 3.6e-004 2.2e-007 1.00e+000 1.077852937e+001 1.077853750e+001 1.8e-012 3.91 125 1.3e-008 3.2e-004 1.9e-007 1.00e+000 1.077853002e+001 1.077853733e+001 1.6e-012 3.94 126 1.2e-008 2.9e-004 1.8e-007 9.99e-001 1.077853061e+001 1.077853718e+001 1.4e-012 3.95 127 1.1e-008 2.6e-004 1.6e-007 1.00e+000 1.077853114e+001 1.077853705e+001 1.3e-012 3.98 128 9.5e-009 2.4e-004 1.4e-007 1.01e+000 1.077853162e+001 1.077853693e+001 1.2e-012 4.00 129 8.7e-009 2.1e-004 1.3e-007 1.03e+000 1.077853213e+001 1.077853676e+001 1.1e-012 4.03 130 7.9e-009 1.9e-004 1.2e-007 9.98e-001 1.077853250e+001 1.077853668e+001 9.5e-013 4.06 Interior-point optimizer terminated. Time: 4.06. Optimizer terminated. Time: 4.13 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0778532504e+001 nrm: 1e+001 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.0778536676e+001 nrm: 1e+003 Viol. con: 0e+000 var: 1e-003 * End solution on dual form. * Transforming to primal solution. Solving took 4.14 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 470 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 891 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.02 Factor - nonzeros before factor : 1.50e+004 after factor : 1.59e+005 Factor - dense dim. : 0 flops : 3.28e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.58e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.0e+003 1.2e+005 0.00e+000 -1.237062623e+005 2.000000000e+000 1.0e+000 0.06 1 1.7e+003 2.2e+003 9.3e+004 -9.71e-001 -1.230435707e+005 2.560454359e+000 7.5e-001 0.28 2 8.7e+002 1.1e+003 4.7e+004 -9.61e-001 -1.206139339e+005 4.615854169e+000 3.8e-001 0.33 3 2.9e+002 3.8e+002 1.6e+004 -9.21e-001 -1.118436962e+005 1.946401642e+001 1.3e-001 0.36 4 2.8e+002 3.7e+002 1.5e+004 -7.77e-001 -1.090677487e+005 2.124412708e+003 1.3e-001 0.39 5 8.9e+001 1.2e+002 4.8e+003 -7.59e-001 -7.855019438e+004 8.412106376e+003 4.0e-002 0.42 6 3.0e+001 3.9e+001 1.6e+003 -3.04e-001 -3.853689145e+004 1.072765368e+004 1.3e-002 0.44 7 1.8e+001 2.3e+001 9.7e+002 4.01e-001 -2.590479632e+004 6.650206758e+003 8.0e-003 0.48 8 1.3e+001 1.6e+001 6.8e+002 6.37e-001 -1.923869241e+004 4.719783138e+003 5.6e-003 0.52 9 4.9e+000 6.4e+000 2.7e+002 7.48e-001 -7.904948200e+003 2.137935851e+003 2.2e-003 0.55 10 2.2e+000 2.8e+000 1.2e+002 9.25e-001 -3.284291200e+003 1.239508354e+003 9.7e-004 0.56 11 9.6e-001 1.3e+000 5.3e+001 9.86e-001 -1.454885145e+003 5.743614734e+002 4.4e-004 0.59 12 8.0e-001 1.0e+000 4.4e+001 9.81e-001 -1.230808303e+003 4.764955729e+002 3.6e-004 0.63 13 4.3e-001 5.7e-001 2.4e+001 9.77e-001 -6.771422346e+002 2.602404835e+002 2.0e-004 0.66 14 3.4e-001 4.4e-001 1.9e+001 1.01e+000 -5.109527719e+002 2.185559011e+002 1.6e-004 0.69 15 1.3e-001 1.9e-001 7.3e+000 9.97e-001 -1.972954722e+002 8.501281775e+001 6.1e-005 0.72 16 5.4e-002 1.1e-001 3.1e+000 1.01e+000 -8.141906599e+001 3.705196586e+001 2.6e-005 0.75 17 5.2e-002 1.1e-001 3.0e+000 1.02e+000 -7.794171790e+001 3.619599876e+001 2.5e-005 0.77 18 3.6e-002 8.1e-002 2.1e+000 1.02e+000 -5.063011747e+001 2.800237404e+001 1.7e-005 0.80 19 3.5e-002 7.8e-002 2.0e+000 1.02e+000 -4.877858372e+001 2.761247032e+001 1.7e-005 0.83 20 2.0e-002 5.8e-002 1.2e+000 1.02e+000 -2.335138361e+001 2.064553066e+001 9.8e-006 0.86 21 6.3e-003 7.9e-002 3.7e-001 1.02e+000 -1.092584006e-001 1.364641025e+001 3.1e-006 0.89 22 3.2e-003 6.4e-002 1.9e-001 1.02e+000 4.905516078e+000 1.197397602e+001 1.6e-006 0.91 23 9.3e-004 9.3e-002 6.0e-002 9.81e-001 8.933228888e+000 1.119666391e+001 5.4e-007 0.94 24 5.9e-004 8.0e-002 3.8e-002 9.22e-001 9.548411185e+000 1.103145902e+001 3.5e-007 0.97 25 2.2e-004 6.8e-002 1.5e-002 9.30e-001 1.027289874e+001 1.086151210e+001 1.4e-007 1.00 26 1.1e-004 5.9e-002 7.5e-003 9.64e-001 1.050582865e+001 1.080550183e+001 7.1e-008 1.03 27 9.8e-005 5.4e-002 6.8e-003 9.78e-001 1.053198126e+001 1.080184665e+001 6.4e-008 1.05 28 8.8e-005 4.9e-002 6.1e-003 9.78e-001 1.055425173e+001 1.079745139e+001 5.8e-008 1.08 29 8.0e-005 4.5e-002 5.5e-003 9.80e-001 1.057505870e+001 1.079421570e+001 5.2e-008 1.11 30 7.2e-005 4.1e-002 4.9e-003 9.82e-001 1.059375363e+001 1.079122303e+001 4.7e-008 1.14 31 6.4e-005 3.8e-002 4.4e-003 9.83e-001 1.061055572e+001 1.078846606e+001 4.2e-008 1.16 32 5.8e-005 3.4e-002 4.0e-003 9.85e-001 1.062564636e+001 1.078592032e+001 3.8e-008 1.19 33 5.2e-005 3.2e-002 3.6e-003 9.87e-001 1.063920087e+001 1.078357470e+001 3.4e-008 1.22 34 4.7e-005 2.9e-002 3.2e-003 9.88e-001 1.065137394e+001 1.078141501e+001 3.1e-008 1.25 35 4.2e-005 2.7e-002 2.9e-003 9.89e-001 1.066230536e+001 1.077942824e+001 2.8e-008 1.28 36 3.8e-005 2.5e-002 2.6e-003 9.90e-001 1.067212123e+001 1.077760232e+001 2.5e-008 1.30 37 3.4e-005 2.3e-002 2.4e-003 9.91e-001 1.068093520e+001 1.077592598e+001 2.2e-008 1.33 38 3.1e-005 2.2e-002 2.1e-003 9.92e-001 1.068884963e+001 1.077438870e+001 2.0e-008 1.36 39 2.8e-005 2.0e-002 1.9e-003 9.93e-001 1.069595651e+001 1.077298048e+001 1.8e-008 1.39 40 2.5e-005 1.9e-002 1.7e-003 9.94e-001 1.070233851e+001 1.077169185e+001 1.6e-008 1.42 41 2.2e-005 1.8e-002 1.5e-003 9.94e-001 1.070806986e+001 1.077051385e+001 1.5e-008 1.66 42 2.0e-005 1.7e-002 1.4e-003 9.95e-001 1.071321716e+001 1.076943802e+001 1.3e-008 1.69 43 1.8e-005 1.6e-002 1.3e-003 9.96e-001 1.071784021e+001 1.076845638e+001 1.2e-008 1.72 44 1.6e-005 1.5e-002 1.1e-003 9.96e-001 1.072199265e+001 1.076756143e+001 1.1e-008 1.75 45 1.5e-005 1.4e-002 1.0e-003 9.97e-001 1.072572262e+001 1.076674615e+001 9.6e-009 1.78 46 1.3e-005 1.3e-002 9.2e-004 9.97e-001 1.072907332e+001 1.076600401e+001 8.7e-009 1.81 47 1.2e-005 1.3e-002 8.2e-004 9.97e-001 1.073208351e+001 1.076532892e+001 7.8e-009 1.84 48 1.1e-005 1.2e-002 7.4e-004 9.98e-001 1.073478798e+001 1.076471522e+001 7.0e-009 1.88 49 9.7e-006 1.2e-002 6.7e-004 9.98e-001 1.073721795e+001 1.076415768e+001 6.3e-009 1.91 50 8.7e-006 1.1e-002 6.0e-004 9.98e-001 1.073940142e+001 1.076365144e+001 5.7e-009 1.94 51 7.8e-006 1.1e-002 5.4e-004 9.98e-001 1.074136352e+001 1.076319203e+001 5.1e-009 1.97 52 7.1e-006 1.1e-002 4.9e-004 9.99e-001 1.074312680e+001 1.076277532e+001 4.6e-009 1.98 53 6.4e-006 1.0e-002 4.4e-004 9.99e-001 1.074471147e+001 1.076239750e+001 4.2e-009 2.02 54 5.7e-006 9.9e-003 3.9e-004 9.99e-001 1.074613571e+001 1.076205504e+001 3.7e-009 2.05 55 5.1e-006 9.7e-003 3.5e-004 9.99e-001 1.074741578e+001 1.076174476e+001 3.4e-009 2.08 56 4.6e-006 9.4e-003 3.2e-004 9.99e-001 1.074856630e+001 1.076146368e+001 3.0e-009 2.11 57 4.2e-006 9.2e-003 2.9e-004 9.99e-001 1.074960042e+001 1.076120912e+001 2.7e-009 2.14 58 3.7e-006 9.0e-003 2.6e-004 9.99e-001 1.075052995e+001 1.076097866e+001 2.5e-009 2.17 59 3.4e-006 8.8e-003 2.3e-004 9.99e-001 1.075136555e+001 1.076077012e+001 2.2e-009 2.20 60 3.0e-006 8.7e-003 2.1e-004 1.00e+000 1.075211683e+001 1.076058153e+001 2.0e-009 2.23 61 2.7e-006 8.5e-003 1.9e-004 1.00e+000 1.075279236e+001 1.076041108e+001 1.8e-009 2.27 62 2.5e-006 8.4e-003 1.7e-004 1.00e+000 1.075339986e+001 1.076025711e+001 1.6e-009 2.30 63 2.2e-006 8.3e-003 1.5e-004 1.00e+000 1.075394620e+001 1.076011807e+001 1.5e-009 2.31 64 2.0e-006 8.1e-003 1.4e-004 1.00e+000 1.075443758e+001 1.075999254e+001 1.3e-009 2.34 65 1.8e-006 8.0e-003 1.2e-004 1.00e+000 1.075487955e+001 1.075987925e+001 1.2e-009 2.38 66 1.6e-006 7.9e-003 1.1e-004 1.00e+000 1.075527709e+001 1.075977700e+001 1.1e-009 2.41 67 1.5e-006 7.9e-003 1.0e-004 1.00e+000 1.075563469e+001 1.075968476e+001 9.5e-010 2.44 68 1.3e-006 7.8e-003 9.0e-005 1.00e+000 1.075595635e+001 1.075960154e+001 8.6e-010 2.48 69 1.2e-006 7.7e-003 8.1e-005 1.00e+000 1.075624570e+001 1.075952649e+001 7.7e-010 2.52 70 1.1e-006 7.6e-003 7.3e-005 1.00e+000 1.075650599e+001 1.075945879e+001 6.9e-010 2.55 71 9.5e-007 7.6e-003 6.6e-005 1.00e+000 1.075674013e+001 1.075939773e+001 6.2e-010 2.58 72 8.6e-007 7.5e-003 5.9e-005 1.00e+000 1.075695075e+001 1.075934264e+001 5.6e-010 2.61 73 7.7e-007 7.5e-003 5.3e-005 1.00e+000 1.075714020e+001 1.075929296e+001 5.1e-010 2.64 74 6.9e-007 7.4e-003 4.8e-005 1.00e+000 1.075731061e+001 1.075924814e+001 4.6e-010 2.67 75 6.3e-007 7.4e-003 4.3e-005 1.00e+000 1.075746389e+001 1.075920770e+001 4.1e-010 2.72 76 5.6e-007 7.3e-003 3.9e-005 1.00e+000 1.075760176e+001 1.075917121e+001 3.7e-010 2.80 77 5.1e-007 7.3e-003 3.5e-005 1.00e+000 1.075772576e+001 1.075913829e+001 3.3e-010 2.84 78 4.6e-007 7.2e-003 3.1e-005 1.00e+000 1.075783730e+001 1.075910861e+001 3.0e-010 2.88 79 4.1e-007 7.2e-003 2.8e-005 1.00e+000 1.075793764e+001 1.075908183e+001 2.7e-010 2.91 80 3.7e-007 7.2e-003 2.6e-005 1.00e+000 1.075802790e+001 1.075905769e+001 2.4e-010 2.92 81 3.3e-007 7.1e-003 2.3e-005 1.00e+000 1.075810910e+001 1.075903593e+001 2.2e-010 2.95 82 3.0e-007 7.1e-003 2.1e-005 1.00e+000 1.075818216e+001 1.075901632e+001 2.0e-010 2.98 83 2.7e-007 7.1e-003 1.9e-005 1.00e+000 1.075824790e+001 1.075899863e+001 1.8e-010 3.02 84 2.4e-007 7.0e-003 1.7e-005 1.00e+000 1.075830706e+001 1.075898267e+001 1.6e-010 3.03 85 2.2e-007 7.0e-003 1.5e-005 1.00e+000 1.075836029e+001 1.075896832e+001 1.4e-010 3.06 86 2.0e-007 7.0e-003 1.4e-005 1.00e+000 1.075840818e+001 1.075895541e+001 1.3e-010 3.09 87 1.8e-007 7.0e-003 1.2e-005 1.00e+000 1.075845126e+001 1.075894383e+001 1.2e-010 3.13 88 1.6e-007 7.0e-003 1.1e-005 1.00e+000 1.075849004e+001 1.075893335e+001 1.0e-010 3.14 89 1.4e-007 6.9e-003 9.9e-006 1.00e+000 1.075852494e+001 1.075892393e+001 9.4e-011 3.17 90 1.3e-007 6.9e-003 8.9e-006 1.00e+000 1.075855634e+001 1.075891545e+001 8.4e-011 3.20 91 1.2e-007 6.9e-003 8.0e-006 1.00e+000 1.075858460e+001 1.075890780e+001 7.6e-011 3.23 92 1.0e-007 6.9e-003 7.2e-006 1.00e+000 1.075861003e+001 1.075890091e+001 6.8e-011 3.25 93 9.4e-008 6.9e-003 6.5e-006 1.00e+000 1.075863292e+001 1.075889471e+001 6.2e-011 3.28 94 8.4e-008 6.8e-003 5.8e-006 9.99e-001 1.075865351e+001 1.075888913e+001 5.5e-011 3.31 95 7.6e-008 6.8e-003 5.3e-006 1.00e+000 1.075867205e+001 1.075888411e+001 5.0e-011 3.34 96 6.8e-008 6.8e-003 4.7e-006 1.00e+000 1.075868873e+001 1.075887958e+001 4.5e-011 3.38 97 6.2e-008 6.8e-003 4.3e-006 1.00e+000 1.075870374e+001 1.075887550e+001 4.0e-011 3.41 98 5.5e-008 6.8e-003 3.8e-006 1.00e+000 1.075871725e+001 1.075887184e+001 3.6e-011 3.42 99 5.0e-008 6.8e-003 3.4e-006 1.00e+000 1.075872940e+001 1.075886854e+001 3.3e-011 3.45 100 4.5e-008 6.8e-003 3.1e-006 1.00e+000 1.075874034e+001 1.075886556e+001 2.9e-011 3.48 101 4.0e-008 6.8e-003 2.8e-006 1.00e+000 1.075875019e+001 1.075886289e+001 2.6e-011 3.50 102 3.6e-008 6.8e-003 2.5e-006 1.00e+000 1.075875905e+001 1.075886047e+001 2.4e-011 3.53 103 3.3e-008 6.8e-003 2.3e-006 1.00e+000 1.075876703e+001 1.075885829e+001 2.1e-011 3.56 104 3.0e-008 6.1e-003 2.0e-006 1.00e+000 1.075877426e+001 1.075885617e+001 1.9e-011 3.58 105 2.7e-008 5.5e-003 1.8e-006 9.97e-001 1.075878072e+001 1.075885442e+001 1.7e-011 3.61 106 2.4e-008 4.9e-003 1.6e-006 1.01e+000 1.075878659e+001 1.075885282e+001 1.6e-011 3.69 107 2.2e-008 4.4e-003 1.5e-006 1.00e+000 1.075879184e+001 1.075885140e+001 1.4e-011 3.72 108 1.9e-008 4.0e-003 1.3e-006 9.95e-001 1.075879654e+001 1.075885014e+001 1.3e-011 3.75 109 1.7e-008 3.6e-003 1.2e-006 1.01e+000 1.075880091e+001 1.075884894e+001 1.1e-011 3.78 110 1.6e-008 3.2e-003 1.1e-006 1.00e+000 1.075880471e+001 1.075884791e+001 1.0e-011 3.81 111 1.4e-008 2.9e-003 9.7e-007 9.98e-001 1.075880811e+001 1.075884700e+001 9.3e-012 3.84 112 1.3e-008 2.6e-003 8.8e-007 1.01e+000 1.075881121e+001 1.075884618e+001 8.4e-012 3.88 113 1.1e-008 2.4e-003 7.9e-007 9.96e-001 1.075881396e+001 1.075884544e+001 7.5e-012 3.91 114 1.1e-008 2.1e-003 7.1e-007 1.01e+000 1.075881659e+001 1.075884473e+001 6.8e-012 3.94 115 9.5e-009 1.9e-003 6.4e-007 1.01e+000 1.075881888e+001 1.075884410e+001 6.2e-012 3.97 116 8.6e-009 1.7e-003 5.7e-007 1.02e+000 1.075882104e+001 1.075884350e+001 5.6e-012 4.00 117 7.7e-009 1.5e-003 5.2e-007 1.01e+000 1.075882289e+001 1.075884300e+001 5.1e-012 4.03 118 8.9e-009 1.4e-003 4.7e-007 9.83e-001 1.075882441e+001 1.075884277e+001 4.6e-012 4.06 119 9.1e-009 1.3e-003 4.2e-007 1.01e+000 1.075882598e+001 1.075884203e+001 4.1e-012 4.09 120 8.2e-009 1.1e-003 3.8e-007 9.63e-001 1.075882725e+001 1.075884174e+001 3.7e-012 4.11 121 7.3e-009 1.0e-003 3.4e-007 9.63e-001 1.075882838e+001 1.075884147e+001 3.3e-012 4.14 122 6.7e-009 9.1e-004 3.1e-007 1.00e+000 1.075882942e+001 1.075884120e+001 3.0e-012 4.17 123 1.4e-008 8.2e-004 2.7e-007 9.91e-001 1.075883035e+001 1.075884096e+001 2.7e-012 4.20 124 1.3e-008 7.4e-004 2.5e-007 9.85e-001 1.075883120e+001 1.075884072e+001 2.4e-012 4.23 125 1.2e-008 6.7e-004 2.2e-007 1.01e+000 1.075883197e+001 1.075884052e+001 2.2e-012 4.25 126 1.0e-008 6.0e-004 2.0e-007 1.00e+000 1.075883265e+001 1.075884034e+001 2.0e-012 4.28 127 9.4e-009 5.4e-004 1.8e-007 1.00e+000 1.075883327e+001 1.075884017e+001 1.8e-012 4.30 128 8.6e-009 4.9e-004 1.6e-007 9.89e-001 1.075883381e+001 1.075884003e+001 1.6e-012 4.33 129 7.7e-009 4.4e-004 1.5e-007 1.01e+000 1.075883433e+001 1.075883989e+001 1.4e-012 4.36 130 6.9e-009 3.9e-004 1.3e-007 1.00e+000 1.075883477e+001 1.075883978e+001 1.3e-012 4.39 131 6.2e-009 3.5e-004 1.2e-007 1.00e+000 1.075883517e+001 1.075883967e+001 1.2e-012 4.42 132 5.6e-009 3.2e-004 1.1e-007 9.94e-001 1.075883553e+001 1.075883958e+001 1.1e-012 4.44 133 5.0e-009 2.9e-004 9.6e-008 1.02e+000 1.075883589e+001 1.075883946e+001 9.6e-013 4.47 Interior-point optimizer terminated. Time: 4.47. Optimizer terminated. Time: 4.80 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0758835885e+001 nrm: 1e+001 Viol. con: 9e-008 var: 0e+000 Dual. obj: 1.0758839461e+001 nrm: 1e+003 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 4.84 seconds. Solving took 9 GP solves and 64.5 seconds. Solves with these variables bounded: value near lower bound: CruiseAlt_Mission value near upper bound: TotalTime_Mission, \alpha_{max}_Mission/Aircraft/Engine/Thrust, d_{nacelle}_Mission/Aircraft/LandingGear, T_{t_{4.1_{max-Cruise}}}_Mission, M_{r_{out}}_Mission/Aircraft/HorizontalTail/WingBox, A_{tri}_Mission/Aircraft/Wing/WingNoStruct Checking for relaxed constants... GP iteration 0 has relaxed constants Cost ---- 4.422e+70 Free Variables -------------- | Mission/Aircraft/Engine/EngineConstants/Relax M_{takeoff} : 2.145 1 Minus Percent mass flow loss for de-ice, pressurization, etc. g : 2.119 Gravitational Acceleration | Mission/Aircraft/Engine/Turbine/Relax C_{p_{t2}} : 3.715 Cp Value for Combustion Products in LP Turbine | Mission/Aircraft/Fuselage/Relax l_{nose} : 1.062 Nose length n_{pass} : [ 3.25 ] Number of passengers | Mission/Aircraft/Relax f_{L_{total/wing}} : 1.927 Total lift as a percentage of wing lift | Mission/Aircraft/Wing/WingNoStruct/Relax \tan(\Lambda) : 1.09 Tangent of quarter-chord sweep angle | Mission/FlightState/Atmosphere/Relax L_{atm} : [ 1.92 1 1 1 1 ] Temperature lapse rate T_{sl} : [ 1 1 1.16 1 1 ] Temperature at sea level | Mission/Relax R_{req} : 7.084 Required Cruise Range GP iteration 1 has relaxed constants Cost ---- 8.029e+18 Free Variables -------------- | Mission/Aircraft/Engine/Turbine/Relax C_{p_{t2}} : 1.846 Cp Value for Combustion Products in LP Turbine | Mission/Aircraft/Fuselage/Relax n_{pass} : [ 1.23 ] Number of passengers | Mission/Aircraft/LandingGear/Relax h_{hold} : 1.015 Hold height | Mission/Aircraft/Relax f_{L_{total/wing}} : 2.134 Total lift as a percentage of wing lift GP iteration 2 has relaxed constants Cost ---- 2.69e+07 Free Variables -------------- f_{L_{total/wing}} : 1.307 Total lift as a percentage of wing lift WEIGHT DIFFERENCES Total Fuel Weight Percent Diff: [-12.7492181] Total Aircraft Weight Percent Diff: [-4.24230825] Engine Weight Percent Diff: -53.57894186623514 Fuselage Weight Percent Diff: -0.6046155427815524 Payload Weight Percent Diff: [-0.04003552] VT Weight Percent Diff: 25.900308240924524 HT Weight Percent Diff: -92.42489848961849 Wing Weight Percent Diff: 8.76881730682064 WING DIFFERENCES Wing Span Percent Diff: -0.029992361204155105 Wing Area Percent Diff: 31.860203070273034 HORIZONTAL TAIL DIFFERENCES HT Area Percent Diff: 43.61824373977246 VERTICAL TAIL DIFFERENCES VT Span Percent Diff: -0.9958982863006339 VT Area Percent Diff: -50.95621778867443 CRUISE SEGMENT 1 DRAG DIFFERENCES Overall Cd Percent Diff: [-13.49073948] L/D Percent Diff: [20.56827526] Nacelle Cd Percent Diff: [-34.83233882] HT Cd Percent Diff: [-79.37347803] dimensionless Fuselage Cd Percent Diff: [108.78752887] VT Cd Percent Diff: [-45.84682266] dimensionless Wing Cd percent Diff: [-13.56965511] Induced Drag Cd Percent Diff: [7.12329315] CRUISE SEGMENT 1 TSFC DIFFERENCES Initial Cruise TSFC Percent Diff: [1.71219092] FUSELAGE DIFFERENCES Weight of HB material: -32.79794977973869 Weight of VB material: 128.9395403524825 Fan Propulsive Efficiency in Cruise Segment 1 --------------------- [0.68258922] Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 74.657s OK Generating XML reports... Cloning into 'solar'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/convexengineering/gpfit.git Cloning https://github.com/convexengineering/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-oc6vjo Running command git clone -q https://github.com/convexengineering/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-oc6vjo' Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-y_b9v9\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-pplppe Running command git clone -q https://github.com/convexengineering/gassolar.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-pplppe' Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gassolar==0.0.0.0) (0.8.0.0) Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.11.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Building wheels for collected packages: gassolar Building wheel for gassolar (setup.py): started Building wheel for gassolar (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-xwmgvl\wheels\fe\11\0a\2dde16df75c51194d20248ec9e30e88fc7200e9fc4664b032e Successfully built gassolar DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\solar Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from solar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from solar==0.0.0.0) (0.8.0.0) Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from solar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from solar==0.0.0.0) (0.1) Requirement already satisfied: gpkitmodels in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gplibrary (from solar==0.0.0.0) (0.0.0.0) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.2.3) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas->solar==0.0.0.0) (1.11.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0) Building wheels for collected packages: solar Building wheel for solar (setup.py): started Building wheel for solar (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-uhoszr\wheels\49\50\23\5418ef4cb8b45317c6db9e660ccf51591236e2173227eefc5b 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 4.34 seconds. Warning: Variable [CL_Mission/Climb/AircraftDrag/WingAero_(0,), CL_Mission/Climb/AircraftDrag/WingAero_(1,), CL_Missio could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable [Re_Mission/Climb/AircraftDrag/WingAero_(0,), Re_Mission/Climb/AircraftDrag/WingAero_(1,), Re_Missio could cause inaccurate result because it is above upper bound. Solution is 1632916.9438 but bound is 600000.0000 Warning: Variable [Re_Mission/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission/Climb/AircraftDrag/TailAero.1_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1259333.2962 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 3.27 seconds. Warning: Variable [CL_Mission.1/Climb/AircraftDrag/WingAero_(0,), CL_Mission.1/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable [Re_Mission.1/Climb/AircraftDrag/WingAero_(0,), Re_Mission.1/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1036204.4216 but bound is 600000.0000 Warning: Variable [Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.1/Climb/AircraftDrag/TailAero.1_(1,), R could cause inaccurate result because it is above upper bound. Solution is 1006645.3404 but bound is 1000000.0000 Beginning signomial solve. Solving took 7 GP solves and 8.56 seconds. Warning: Variable [CL_Mission.2/Climb/AircraftDrag/WingAero_(0,), CL_Mission.2/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465 Warning: Variable [Re_Mission.2/Climb/AircraftDrag/WingAero_(0,), Re_Mission.2/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000 Warning: Variable [Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.2/Climb/AircraftDrag/TailAero.1_(1,), R 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 3.34 seconds. Warning: Variable [CL_Mission.3/Climb/AircraftDrag/WingAero_(0,), CL_Mission.3/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable [Re_Mission.3/Climb/AircraftDrag/WingAero_(0,), Re_Mission.3/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 976142.1405 but bound is 600000.0000 Warning: Variable [Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.3/Climb/AircraftDrag/TailAero.1_(1,), R could cause inaccurate result because it is above upper bound. Solution is 1042059.4013 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 3.88 seconds. Warning: Variable [CL_Mission.4/Climb/AircraftDrag/WingAero_(0,), CL_Mission.4/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable [Re_Mission.4/Climb/AircraftDrag/WingAero_(0,), Re_Mission.4/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1007400.4725 but bound is 600000.0000 Warning: Variable [Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.4/Climb/AircraftDrag/TailAero.1_(1,), R could cause inaccurate result because it is above upper bound. Solution is 1092545.5056 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 2.7 seconds. Warning: Variable [CL_Mission.5/Climb/AircraftDrag/WingAero_(0,), CL_Mission.5/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [Re_Mission.5/Climb/AircraftDrag/WingAero_(0,), Re_Mission.5/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1119121.2079 but bound is 600000.0000 Beginning signomial solve. Solving took 5 GP solves and 3.7 seconds. Warning: Variable [CL_Mission/Climb/AircraftDrag/WingAero_(0,), CL_Mission/Climb/AircraftDrag/WingAero_(1,), CL_Missio could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable [Re_Mission/Climb/AircraftDrag/WingAero_(0,), Re_Mission/Climb/AircraftDrag/WingAero_(1,), Re_Missio could cause inaccurate result because it is above upper bound. Solution is 1632916.9433 but bound is 600000.0000 Warning: Variable [Re_Mission/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission/Climb/AircraftDrag/TailAero.1_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1259333.2960 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 4.06 seconds. Warning: Variable [CL_Mission.1/Climb/AircraftDrag/WingAero_(0,), CL_Mission.1/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable [Re_Mission.1/Climb/AircraftDrag/WingAero_(0,), Re_Mission.1/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1036204.4216 but bound is 600000.0000 Warning: Variable [Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.1/Climb/AircraftDrag/TailAero.1_(1,), R could cause inaccurate result because it is above upper bound. Solution is 1006645.3404 but bound is 1000000.0000 Beginning signomial solve. Solving took 7 GP solves and 3.64 seconds. Warning: Variable [CL_Mission.2/Climb/AircraftDrag/WingAero_(0,), CL_Mission.2/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465 Warning: Variable [Re_Mission.2/Climb/AircraftDrag/WingAero_(0,), Re_Mission.2/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000 Warning: Variable [Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.2/Climb/AircraftDrag/TailAero.1_(1,), R 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 2.5 seconds. Warning: Variable [CL_Mission.3/Climb/AircraftDrag/WingAero_(0,), CL_Mission.3/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable [Re_Mission.3/Climb/AircraftDrag/WingAero_(0,), Re_Mission.3/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 976142.1405 but bound is 600000.0000 Warning: Variable [Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.3/Climb/AircraftDrag/TailAero.1_(1,), R could cause inaccurate result because it is above upper bound. Solution is 1042059.4012 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.72 seconds. Warning: Variable [CL_Mission.4/Climb/AircraftDrag/WingAero_(0,), CL_Mission.4/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable [Re_Mission.4/Climb/AircraftDrag/WingAero_(0,), Re_Mission.4/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1007400.4745 but bound is 600000.0000 Warning: Variable [Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,), Re_Mission.4/Climb/AircraftDrag/TailAero.1_(1,), R could cause inaccurate result because it is above upper bound. Solution is 1092545.5074 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.41 seconds. Warning: Variable [CL_Mission.5/Climb/AircraftDrag/WingAero_(0,), CL_Mission.5/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [Re_Mission.5/Climb/AircraftDrag/WingAero_(0,), Re_Mission.5/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 5.19 seconds. Allowing negative dual variable(s) as small as -3.3214075874087144e-11. Warning: Variable [CL_Mission/Climb/AircraftDrag/WingAero_(0,), CL_Mission/Climb/AircraftDrag/WingAero_(1,), CL_Missio could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable [Re_Mission/Climb/AircraftDrag/WingAero_(0,), Re_Mission/Climb/AircraftDrag/WingAero_(1,), Re_Missio could cause inaccurate result because it is above upper bound. Solution is 671709.7428 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.53 seconds. Allowing negative dual variable(s) as small as -1.977253352830899e-11. Warning: Variable [CL_Mission.1/Climb/AircraftDrag/WingAero_(0,), CL_Mission.1/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465 Warning: Variable [Re_Mission.1/Climb/AircraftDrag/WingAero_(0,), Re_Mission.1/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 729183.6173 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 5.47 seconds. Allowing negative dual variable(s) as small as -1.2253311760965517e-10. Warning: Variable [CL_Mission.2/Climb/AircraftDrag/WingAero_(0,), CL_Mission.2/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465 Warning: Variable [Re_Mission.2/Climb/AircraftDrag/WingAero_(0,), Re_Mission.2/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 802959.5983 but bound is 600000.0000 Using solver 'mosek' Solving for 7672 variables. Solving took 2.53 seconds. Allowing negative dual variable(s) as small as -1.8734045650769333e-11. Warning: Variable [CL_Mission.3/Climb/AircraftDrag/WingAero_(0,), CL_Mission.3/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable [Re_Mission.3/Climb/AircraftDrag/WingAero_(0,), Re_Mission.3/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 839122.5092 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 8.64 seconds. Allowing negative dual variable(s) as small as -5.074197944468045e-11. Warning: Variable [CL_Mission/Climb/AircraftDrag/WingAero_(0,), CL_Mission/Climb/AircraftDrag/WingAero_(1,), CL_Missio could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable [Re_Mission/Climb/AircraftDrag/WingAero_(0,), Re_Mission/Climb/AircraftDrag/WingAero_(1,), Re_Missio could cause inaccurate result because it is above upper bound. Solution is 671709.7556 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 5.83 seconds. Allowing negative dual variable(s) as small as -2.1240811376496762e-10. Warning: Variable [CL_Mission.1/Climb/AircraftDrag/WingAero_(0,), CL_Mission.1/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465 Warning: Variable [Re_Mission.1/Climb/AircraftDrag/WingAero_(0,), Re_Mission.1/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 729183.6268 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 9.27 seconds. Allowing negative dual variable(s) as small as -9.51577325069631e-10. Warning: Variable [CL_Mission.2/Climb/AircraftDrag/WingAero_(0,), CL_Mission.2/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465 Warning: Variable [Re_Mission.2/Climb/AircraftDrag/WingAero_(0,), Re_Mission.2/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 802959.6023 but bound is 600000.0000 Using solver 'mosek' Solving for 7672 variables. Solving took 3.89 seconds. Allowing negative dual variable(s) as small as -3.265995809134218e-10. Warning: Variable [CL_Mission.3/Climb/AircraftDrag/WingAero_(0,), CL_Mission.3/Climb/AircraftDrag/WingAero_(1,), CL_Mi could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable [Re_Mission.3/Climb/AircraftDrag/WingAero_(0,), Re_Mission.3/Climb/AircraftDrag/WingAero_(1,), Re_Mi could cause inaccurate result because it is above upper bound. Solution is 839122.5099 but bound is 600000.0000 Beginning signomial solve. Solving took 4 GP solves and 3.61 seconds. Warning: Variable [CL_Mission/Climb/AircraftDrag/WingAero_(0,), CL_Mission/Climb/AircraftDrag/WingAero_(1,), CL_Missio could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [Re_Mission/Climb/AircraftDrag/WingAero_(0,), Re_Mission/Climb/AircraftDrag/WingAero_(1,), Re_Missio could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000 Beginning signomial solve. Solving took 4 GP solves and 2.78 seconds. Warning: Variable [CL_Mission/Climb/AircraftDrag/WingAero_(0,), CL_Mission/Climb/AircraftDrag/WingAero_(1,), CL_Missio could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [Re_Mission/Climb/AircraftDrag/WingAero_(0,), Re_Mission/Climb/AircraftDrag/WingAero_(1,), Re_Missio could cause inaccurate result because it is above upper bound. Solution is 1119121.2075 but bound is 600000.0000 Running tests... ---------------------------------------------------------------------- c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ..C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) C:\Users\jenkins\workspace\gplibrary_Push_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 365.066s OK Generating XML reports... fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-yirepz Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-yirepz' Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-dnnshe\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f Successfully built gpfit DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\gplibrary Requirement already satisfied: numpy>=1.12 in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2) Building wheels for collected packages: gpkitmodels Building wheel for gpkitmodels (setup.py): started Building wheel for gpkitmodels (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-dsj0sc\wheels\b2\5f\58\f0c6c8c93850eaa6386f886b72c85b7862db5e865c9237ac25 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 0.25 seconds. Using solver 'mosek_cli' Solving for 11 variables. Solving took 0.375 seconds. Using solver 'mosek' Solving for 9 variables. Solving took 0.188 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.313 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.047 seconds. Beginning signomial solve. Solving took 16 GP solves and 1.77 seconds. Using solver 'mosek_cli' Solving for 9 variables. Solving took 0.094 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.532 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.297 seconds. Beginning signomial solve. Solving took 16 GP solves and 6.38 seconds. Using solver 'mosek' Solving for 13 variables. Solving took 0.032 seconds. Beginning signomial solve. Solving took 11 GP solves and 2.11 seconds. Warning: Variable [cl_BladeElementProp/BladeElementPerf_(0,), cl_BladeElementProp/BladeElementPerf_(1,), cl_BladeEleme could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable [Re_BladeElementProp/BladeElementPerf_(0,), Re_BladeElementProp/BladeElementPerf_(1,), Re_BladeEleme could cause inaccurate result because it is above upper bound. Solution is 1619898.0327 but bound is 700000.0000 Using solver 'mosek_cli' Solving for 13 variables. Solving took 0.859 seconds. Beginning signomial solve. Solving took 11 GP solves and 4.53 seconds. Warning: Variable [cl_BladeElementProp/BladeElementPerf_(0,), cl_BladeElementProp/BladeElementPerf_(1,), cl_BladeEleme could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable [Re_BladeElementProp/BladeElementPerf_(0,), Re_BladeElementProp/BladeElementPerf_(1,), Re_BladeEleme could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000 Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220953.3838 but bound is 1000000.0000 Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499787.9776 but bound is 1000000.0000 Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 2223878.3883 but bound is 1000000.0000 Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 2223877.9590 but bound is 1000000.0000 Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000 Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000 Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000 Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000 Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000 Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000 Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1884891.6332 but bound is 700000.0000 Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910419.6195 but bound is 700000.0000 Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000 Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000 Beginning signomial solve. Using solver 'mosek' Solving for 121 variables. Solving took 0.033 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.038 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 0.029 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.029 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.026 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.029 seconds. Solving took 6 GP solves and 0.395 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.082 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.081 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 0.109 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.427 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.2 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.702 seconds. Solving took 6 GP solves and 1.79 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 240 variables. Solving took 0.773 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.066 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 0.271 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 0.047 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.15 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.923 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.473 seconds. Solving took 7 GP solves and 3.2 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.365 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.156 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 0.402 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 0.217 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.123 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.922 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.176 seconds. Solving took 7 GP solves and 2.8 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 20 variables. Solving took 0.12 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.272 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.074 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.083 seconds. Solving took 4 GP solves and 0.561 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.231 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.1 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.09 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.125 seconds. Solving took 4 GP solves and 0.564 seconds. Running tests... ---------------------------------------------------------------------- ..c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) .............. ---------------------------------------------------------------------- Ran 16 tests in 34.762s OK Generating XML reports... Cloning into 'eVTOL'... adding test for 'aircraft_models.py' Running tests... ---------------------------------------------------------------------- .. ---------------------------------------------------------------------- Ran 2 tests in 2.498s OK Generating XML reports... he same goes for any other bugs you encounter with GPkit: send 'em our way, along with any interesting models, speculative features, comments, discussions, or clarifications you feel like sharing. Finally, we hope you find our documentation (https://gpkit.readthedocs.io/) and engineering-design models (https://github.com/convexengineering/gplibrary/) to be useful resources for your own applications. Enjoy! calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git'] attempt 1 calling ['pip', 'install', '--no-cache-dir', '--no-deps', '-e', 'gplibrary'] 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 attempt 2 attempt 3 attempt 4 attempt 5 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 236 tests in 103.266s OK (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>exit 0 INFO: Starting to record. INFO: Processing JUnit INFO: [JUnit] - 8 test report file(s) were found with the pattern '**/test_reports/*.xml, **/test_reports_nounits/*.xml' relative to 'C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek' for the testing framework 'JUnit'. INFO: Check 'Failed Tests' threshold. INFO: Check 'Skipped Tests' threshold. INFO: Setting the build status to SUCCESS INFO: Stopping recording. [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is used... [WS-CLEANUP] done Finished: SUCCESS