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Started by upstream project "gplibrary_Push_Models" build number 180 originally caused by: Started by upstream project "gpkit_Push" build number 647 originally caused by: Started by GitHub push by bqpd Running as SYSTEM [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 62fd801e15375d0c0a052852b3f9d7633674eda8 (origin/master) > C:\Program Files\Git\cmd\git config core.sparsecheckout # timeout=10 > C:\Program Files\Git\cmd\git checkout -f 62fd801e15375d0c0a052852b3f9d7633674eda8 # timeout=3 Commit message: "SimPleAC update (new model that doesn't solve on cvxopt) (#175)" > C:\Program Files\Git\cmd\git rev-list --no-walk 62fd801e15375d0c0a052852b3f9d7633674eda8 # 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\jenkins1645213905210217219.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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support Requirement already up-to-date: pip in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (19.2.1) (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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support Requirement already up-to-date: scipy in c:\anaconda2\lib\site-packages (1.2.2) Requirement already satisfied, skipping upgrade: numpy>=1.8.2 in c:\anaconda2\lib\site-packages (from scipy) (1.16.4) (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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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: 0.01 Interior-point optimizer terminated. Time: 0.01. Optimizer terminated. Time: 0.03 ************************************ 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 0.02. 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: 0.01 Interior-point optimizer terminated. Time: 0.01. 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support Obtaining file:///C:/Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit Requirement already satisfied: numpy>=1.13.3 in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.16.4) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (0.9) Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.2) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit==0.9.0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit==0.9.0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit==0.9.0.1) (2018.0.0) Installing collected packages: gpkit Running setup.py develop for gpkit Successfully installed gpkit (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2) Installing collected packages: gpkitmodels Running setup.py develop for gpkitmodels Successfully installed gpkitmodels (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_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 ([u'mosek', u'mosek_cli', u'cvxopt']) with environment var GPKITSOLVERS (mosek, mosek_cli) Found the following solvers: mosek, mosek_cli # Replacing directory env x[:] <= w GPkit is now installed with solver(s) [u'mosek', u'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 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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 0.04 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.021 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.083 seconds. Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 0.399s 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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-dpqk5m Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-dpqk5m' Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from gpfit==0.1) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=6bf79442f6f442ccf00a457d39df13d001b353a1c7cacd2485c553a9538769b8 Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-ofgf_y\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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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:\anaconda2\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) (0.9.0.1) Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_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: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Building wheels for collected packages: gassolar Building wheel for gassolar (setup.py): started Building wheel for gassolar (setup.py): finished with status 'done' Created wheel for gassolar: filename=gassolar-0.0.0.0-cp27-none-any.whl size=4895586 sha256=37f394ec9c0f1fcd7fc4cb5e30482b4c59cc5249cf3c830f5b9847c80ee277c6 Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-fs2yix\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 0.144 seconds. Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf 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 0.7 seconds. Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr 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 0.569 seconds. Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf 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 1.74 seconds. Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr 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 0.753 seconds. Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.3536 but bound is 150000.0000 Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re 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 2.12 seconds. Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103379.4303 but bound is 150000.0000 Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.0863 but bound is 150000.0000 Using solver 'mosek_cli' Solving for 1250 variables. Solving took 0.526 seconds. Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000 Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000 Beginning signomial solve. Solving took 4 GP solves and 2.83 seconds. Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000 Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re 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 31.323s 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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-hwj4pn Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-hwj4pn' 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:\anaconda2\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) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=68013632e207c18ef5750a4d9d1f91285e67bf82fb2b33943d2da92ed7b8b841 Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-je_xuq\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 -1.2546983851197124e-13. Solving took 4 GP solves and 1.95 seconds. Beginning signomial solve. Allowing negative dual variable(s) as small as -1.314435e-13. Solving took 4 GP solves and 2.59 seconds. Allowing negative dual variable(s) as small as -6.197759319648277e-13. Allowing negative dual variable(s) as small as -1.3854678038507928e-13. 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 -1.3870705257122695e-13. 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] = 25.637 optimum cruise speed, outbound [m/s] = 36.421 Beginning signomial solve. Allowing negative dual variable(s) as small as -7.171141844739116e-12. Solving took 4 GP solves and 2.29 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 1.16 seconds. Max payload weight [lbf] = 28.242 Max take off weight [lbf] = 166.638 Allowing negative dual variable(s) as small as -6.208974e-13. Allowing negative dual variable(s) as small as -1.384131e-13. 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 -1.380845e-13. 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] = 25.637 optimum cruise speed, outbound [m/s] = 36.421 Beginning signomial solve. Allowing negative dual variable(s) as small as -7.171123e-12. Solving took 4 GP solves and 2.77 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 2.19 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 34.473s 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2) Building wheels for collected packages: turbofan Building wheel for turbofan (setup.py): started Building wheel for turbofan (setup.py): finished with status 'done' Created wheel for turbofan: filename=turbofan-0.0.0.0-cp27-none-any.whl size=43301 sha256=0e5eb59d007e0284505e5016524434e91d8e4ee3c12d2c4bca5c9a3dd78c797e Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-j8hypd\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 337 variables. Solving took 0.146 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.095 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.097 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.127 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.099 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.111 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.071 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.099 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.074 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.084 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.079 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.09 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.076 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.083 seconds. Solving took 14 GP solves and 1.81 seconds. Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 2.306s OK Generating XML reports... Cloning into 'SPaircraft'... Checking out files: 10% (374/3434) Checking out files: 11% (378/3434) Checking out files: 12% (413/3434) Checking out files: 13% (447/3434) Checking out files: 14% (481/3434) Checking out files: 15% (516/3434) Checking out files: 16% (550/3434) Checking out files: 17% (584/3434) Checking out files: 18% (619/3434) Checking out files: 19% (653/3434) Checking out files: 20% (687/3434) Checking out files: 21% (722/3434) Checking out files: 22% (756/3434) Checking out files: 23% (790/3434) Checking out files: 24% (825/3434) Checking out files: 25% (859/3434) Checking out files: 25% (890/3434) Checking out files: 26% (893/3434) Checking out files: 27% (928/3434) Checking out files: 28% (962/3434) Checking out files: 29% (996/3434) Checking out files: 30% (1031/3434) Checking out files: 31% (1065/3434) Checking out files: 32% (1099/3434) Checking out files: 33% (1134/3434) Checking out files: 34% (1168/3434) Checking out files: 35% (1202/3434) Checking out files: 36% (1237/3434) Checking out files: 37% (1271/3434) Checking out files: 38% (1305/3434) Checking out files: 39% (1340/3434) Checking out files: 39% (1366/3434) Checking out files: 40% (1374/3434) Checking out files: 41% (1408/3434) Checking out files: 42% (1443/3434) Checking out files: 43% (1477/3434) Checking out files: 44% (1511/3434) Checking out files: 45% (1546/3434) Checking out files: 46% (1580/3434) Checking out files: 47% (1614/3434) Checking out files: 48% (1649/3434) Checking out files: 49% (1683/3434) Checking out files: 50% (1717/3434) Checking out files: 51% (1752/3434) Checking out files: 52% (1786/3434) Checking out files: 53% (1821/3434) Checking out files: 53% (1852/3434) Checking out files: 54% (1855/3434) Checking out files: 55% (1889/3434) Checking out files: 56% (1924/3434) Checking out files: 57% (1958/3434) Checking out files: 58% (1992/3434) Checking out files: 59% (2027/3434) Checking out files: 60% (2061/3434) Checking out files: 61% (2095/3434) Checking out files: 62% (2130/3434) Checking out files: 63% (2164/3434) Checking out files: 64% (2198/3434) Checking out files: 65% (2233/3434) Checking out files: 66% (2267/3434) Checking out files: 67% (2301/3434) Checking out files: 68% (2336/3434) Checking out files: 68% (2342/3434) Checking out files: 69% (2370/3434) Checking out files: 70% (2404/3434) Checking out files: 71% (2439/3434) Checking out files: 72% (2473/3434) Checking out files: 73% (2507/3434) Checking out files: 74% (2542/3434) Checking out files: 75% (2576/3434) Checking out files: 75% (2586/3434) Checking out files: 76% (2610/3434) Checking out files: 77% (2645/3434) Checking out files: 78% (2679/3434) Checking out files: 79% (2713/3434) Checking out files: 80% (2748/3434) Checking out files: 81% (2782/3434) Checking out files: 82% (2816/3434) Checking out files: 83% (2851/3434) Checking out files: 84% (2885/3434) Checking out files: 85% (2919/3434) Checking out files: 86% (2954/3434) Checking out files: 86% (2972/3434) Checking out files: 87% (2988/3434) Checking out files: 88% (3022/3434) Checking out files: 89% (3057/3434) Checking out files: 90% (3091/3434) Checking out files: 90% (3124/3434) Checking out files: 91% (3125/3434) Checking out files: 92% (3160/3434) Checking out files: 93% (3194/3434) Checking out files: 94% (3228/3434) Checking out files: 95% (3263/3434) Checking out files: 95% (3269/3434) Checking out files: 96% (3297/3434) Checking out files: 97% (3331/3434) Checking out files: 98% (3366/3434) Checking out files: 99% (3400/3434) Checking out files: 100% (3434/3434) Checking out files: 100% (3434/3434), done. DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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-qyttim Running command git clone -q https://github.com/hoburg/turbofan.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-qyttim' 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:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2) Building wheels for collected packages: turbofan Building wheel for turbofan (setup.py): started Building wheel for turbofan (setup.py): finished with status 'done' Created wheel for turbofan: filename=turbofan-0.0.0.0-cp27-none-any.whl size=43301 sha256=5d37c2acf1331e73c00d97183b4836037e299097f8b551596f167080d5c2112c Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-aka6a2\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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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) (0.9.0.1) Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan->SPaircraft==0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0) Building wheels for collected packages: SPaircraft Building wheel for SPaircraft (setup.py): started Building wheel for SPaircraft (setup.py): finished with status 'done' Created wheel for SPaircraft: filename=SPaircraft-0.0.0-cp27-none-any.whl size=1856 sha256=ab0ea9e96990b20cdd0bdeb397006da480228295587514c334c4613b46370909 Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-l6sow3\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 1773 variables. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.05 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 883 Optimizer - Cones : 0 Optimizer - Scalar variables : 3483 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.06 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.243632976e+005 2.000000000e+000 1.0e+000 0.11 1 1.6e+003 2.6e+003 8.7e+004 -9.71e-001 -1.235295150e+005 2.722726037e+000 7.0e-001 0.14 2 8.3e+002 1.3e+003 4.5e+004 -9.58e-001 -1.210279301e+005 5.020882229e+000 3.7e-001 0.17 3 2.9e+002 4.7e+002 1.6e+004 -9.17e-001 -1.122570201e+005 2.137040315e+001 1.3e-001 0.20 4 2.9e+002 4.7e+002 1.6e+004 -7.71e-001 -1.100302297e+005 1.958841387e+003 1.3e-001 0.22 5 1.2e+002 1.8e+002 6.3e+003 -7.61e-001 -8.729185926e+004 6.528108954e+003 5.1e-002 0.25 6 3.9e+001 6.3e+001 2.2e+003 -4.30e-001 -4.799514683e+004 1.079097743e+004 1.8e-002 0.28 7 2.2e+001 3.5e+001 1.2e+003 2.22e-001 -3.090456024e+004 7.272412917e+003 9.7e-003 0.30 8 9.8e+000 1.6e+001 5.3e+002 5.36e-001 -1.473504917e+004 4.392155403e+003 4.3e-003 0.33 9 5.3e+000 8.5e+000 2.9e+002 8.19e-001 -8.069311025e+003 2.746210138e+003 2.4e-003 0.36 10 1.3e+000 2.1e+000 7.4e+001 9.19e-001 -1.869761582e+003 9.370540380e+002 6.0e-004 0.39 11 6.8e-001 1.1e+000 3.8e+001 9.98e-001 -7.500964773e+002 6.856130193e+002 3.1e-004 0.41 12 5.0e-001 7.9e-001 2.8e+001 9.97e-001 -4.803510067e+002 5.693193564e+002 2.3e-004 0.44 13 3.7e-001 8.3e-001 2.0e+001 9.79e-001 -2.993416326e+002 4.889398153e+002 1.7e-004 0.45 14 1.8e-001 4.1e-001 1.0e+001 9.96e-001 -1.320570940e+001 3.729228459e+002 8.3e-005 0.48 15 5.7e-002 1.6e-001 3.3e+000 9.94e-001 1.670027071e+002 2.938970448e+002 2.8e-005 0.52 16 3.4e-002 1.4e-001 2.0e+000 1.00e+000 2.026369079e+002 2.785635739e+002 1.7e-005 0.55 17 5.9e-003 1.7e-001 3.7e-001 1.00e+000 2.467018516e+002 2.607629249e+002 3.2e-006 0.56 18 1.6e-003 1.3e-001 1.0e-001 1.01e+000 2.538406883e+002 2.578385062e+002 9.3e-007 0.59 19 6.0e-004 1.0e-001 3.8e-002 1.00e+000 2.556861725e+002 2.571488387e+002 3.4e-007 0.63 20 2.9e-004 8.1e-002 1.9e-002 1.00e+000 2.562304957e+002 2.569467692e+002 1.7e-007 0.64 21 2.6e-004 7.3e-002 1.7e-002 1.00e+000 2.562836768e+002 2.569283231e+002 1.5e-007 0.67 22 2.4e-004 6.7e-002 1.5e-002 1.00e+000 2.563302412e+002 2.569103829e+002 1.4e-007 0.70 23 2.1e-004 6.1e-002 1.4e-002 1.00e+000 2.563722952e+002 2.568943977e+002 1.2e-007 0.72 24 1.9e-004 5.6e-002 1.2e-002 1.00e+000 2.564100974e+002 2.568799688e+002 1.1e-007 0.75 25 1.7e-004 5.1e-002 1.1e-002 1.00e+000 2.564440953e+002 2.568669627e+002 1.0e-007 0.78 26 1.5e-004 4.6e-002 1.0e-002 1.00e+000 2.564746700e+002 2.568552371e+002 9.0e-008 0.80 27 1.4e-004 4.3e-002 9.0e-003 1.00e+000 2.565021679e+002 2.568446674e+002 8.1e-008 0.83 28 1.3e-004 3.9e-002 8.1e-003 1.00e+000 2.565268999e+002 2.568351407e+002 7.3e-008 0.86 29 1.1e-004 3.6e-002 7.3e-003 1.00e+000 2.565491454e+002 2.568265553e+002 6.6e-008 0.88 30 1.0e-004 3.3e-002 6.6e-003 1.00e+000 2.565691557e+002 2.568188192e+002 5.9e-008 0.91 31 9.1e-005 3.1e-002 5.9e-003 1.00e+000 2.565871561e+002 2.568118491e+002 5.3e-008 0.94 32 8.2e-005 2.8e-002 5.3e-003 1.00e+000 2.566033494e+002 2.568055698e+002 4.8e-008 0.95 33 7.4e-005 2.6e-002 4.8e-003 1.00e+000 2.566179176e+002 2.567999134e+002 4.3e-008 0.98 34 6.7e-005 2.4e-002 4.3e-003 1.00e+000 2.566310241e+002 2.567948185e+002 3.9e-008 1.00 35 6.0e-005 2.3e-002 3.9e-003 1.00e+000 2.566428160e+002 2.567902295e+002 3.5e-008 1.03 36 5.4e-005 2.1e-002 3.5e-003 1.00e+000 2.566534254e+002 2.567860966e+002 3.1e-008 1.05 37 4.9e-005 2.0e-002 3.1e-003 1.00e+000 2.566629711e+002 2.567823745e+002 2.8e-008 1.08 38 4.4e-005 1.9e-002 2.8e-003 1.00e+000 2.566715600e+002 2.567790226e+002 2.5e-008 1.09 39 3.9e-005 1.8e-002 2.5e-003 1.00e+000 2.566792882e+002 2.567760041e+002 2.3e-008 1.13 40 3.5e-005 1.7e-002 2.3e-003 1.00e+000 2.566862420e+002 2.567732861e+002 2.1e-008 1.14 41 3.2e-005 1.6e-002 2.1e-003 1.00e+000 2.566924991e+002 2.567708387e+002 1.9e-008 1.17 42 2.9e-005 1.5e-002 1.9e-003 1.00e+000 2.566981294e+002 2.567686351e+002 1.7e-008 1.19 43 2.6e-005 1.4e-002 1.7e-003 1.00e+000 2.567031958e+002 2.567666509e+002 1.5e-008 1.20 44 2.3e-005 1.4e-002 1.5e-003 1.00e+000 2.567077548e+002 2.567648645e+002 1.4e-008 1.23 45 2.1e-005 1.3e-002 1.4e-003 1.00e+000 2.567118573e+002 2.567632561e+002 1.2e-008 1.25 46 1.9e-005 1.2e-002 1.2e-003 1.00e+000 2.567155490e+002 2.567618080e+002 1.1e-008 1.28 47 1.7e-005 1.2e-002 1.1e-003 1.00e+000 2.567188712e+002 2.567605044e+002 9.9e-009 1.30 48 1.5e-005 1.2e-002 9.8e-004 1.00e+000 2.567218608e+002 2.567593308e+002 8.9e-009 1.31 49 1.4e-005 1.1e-002 8.9e-004 1.00e+000 2.567245511e+002 2.567582742e+002 8.0e-009 1.34 50 1.2e-005 1.1e-002 8.0e-004 1.00e+000 2.567269722e+002 2.567573231e+002 7.2e-009 1.36 51 1.1e-005 1.0e-002 7.2e-004 1.00e+000 2.567291510e+002 2.567564669e+002 6.5e-009 1.39 52 1.0e-005 1.0e-002 6.5e-004 1.00e+000 2.567311117e+002 2.567556961e+002 5.8e-009 1.41 53 9.0e-006 9.9e-003 5.8e-004 1.00e+000 2.567328762e+002 2.567550023e+002 5.2e-009 1.44 54 8.1e-006 9.7e-003 5.2e-004 1.00e+000 2.567344642e+002 2.567543778e+002 4.7e-009 1.45 55 7.3e-006 9.5e-003 4.7e-004 1.00e+000 2.567358933e+002 2.567538156e+002 4.2e-009 1.47 56 6.6e-006 9.3e-003 4.2e-004 1.00e+000 2.567371795e+002 2.567533095e+002 3.8e-009 1.50 57 5.9e-006 9.2e-003 3.8e-004 1.00e+000 2.567383369e+002 2.567528540e+002 3.4e-009 1.51 58 5.3e-006 9.0e-003 3.4e-004 1.00e+000 2.567393786e+002 2.567524440e+002 3.1e-009 1.55 59 4.8e-006 8.9e-003 3.1e-004 1.00e+000 2.567403160e+002 2.567520750e+002 2.8e-009 1.56 60 4.3e-006 8.7e-003 2.8e-004 1.00e+000 2.567411596e+002 2.567517428e+002 2.5e-009 1.58 61 3.9e-006 8.6e-003 2.5e-004 1.00e+000 2.567419189e+002 2.567514437e+002 2.3e-009 1.61 62 3.5e-006 8.5e-003 2.3e-004 1.00e+000 2.567426022e+002 2.567511746e+002 2.0e-009 1.63 63 9.8e-007 2.4e-003 6.3e-005 1.00e+000 2.567470219e+002 2.567494308e+002 5.7e-010 1.67 64 8.8e-007 2.2e-003 5.7e-005 1.00e+000 2.567471959e+002 2.567493640e+002 5.1e-010 1.69 65 1.9e-007 4.6e-004 1.2e-005 1.00e+000 2.567484181e+002 2.567488813e+002 1.1e-010 1.70 66 1.7e-007 4.1e-004 1.1e-005 1.00e+000 2.567484514e+002 2.567488684e+002 9.9e-011 1.73 67 1.5e-007 3.7e-004 9.9e-006 1.00e+000 2.567484812e+002 2.567488565e+002 8.9e-011 1.75 68 1.4e-007 3.3e-004 8.9e-006 9.99e-001 2.567485081e+002 2.567488459e+002 8.0e-011 1.78 69 3.2e-008 7.8e-005 2.1e-006 1.00e+000 2.567486938e+002 2.567487724e+002 1.9e-011 1.81 70 4.7e-008 7.0e-005 1.9e-006 1.06e+000 2.567487007e+002 2.567487703e+002 1.7e-011 1.83 71 2.7e-008 2.6e-005 6.9e-007 1.01e+000 2.567487317e+002 2.567487577e+002 6.5e-012 1.86 Interior-point optimizer terminated. Time: 1.86. Optimizer terminated. Time: 1.88 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 2.5674873166e+002 nrm: 4e+001 Viol. con: 7e-007 var: 0e+000 Dual. obj: 2.5674875765e+002 nrm: 8e+002 Viol. con: 0e+000 var: 2e-004 * End solution on dual form. * Transforming to primal solution. Solving took 1.91 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.05 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 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 : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.240462656e+005 2.000000000e+000 1.0e+000 0.11 1 1.6e+003 2.6e+003 8.8e+004 -9.71e-001 -1.232282186e+005 2.711056448e+000 7.1e-001 0.14 2 7.9e+002 1.3e+003 4.3e+004 -9.58e-001 -1.204189610e+005 5.276756399e+000 3.5e-001 0.16 3 3.0e+002 4.7e+002 1.6e+004 -9.12e-001 -1.120238640e+005 2.203994904e+001 1.3e-001 0.19 4 3.0e+002 4.7e+002 1.6e+004 -7.71e-001 -1.098733266e+005 1.896810345e+003 1.3e-001 0.22 5 1.3e+002 2.0e+002 6.8e+003 -7.62e-001 -8.940798644e+004 6.076988775e+003 5.5e-002 0.25 6 4.1e+001 6.5e+001 2.2e+003 -4.66e-001 -4.884245490e+004 1.100159501e+004 1.8e-002 0.28 7 2.4e+001 3.8e+001 1.3e+003 2.06e-001 -3.310994938e+004 7.428422119e+003 1.1e-002 0.30 8 9.2e+000 1.5e+001 5.0e+002 4.99e-001 -1.404551559e+004 4.006478404e+003 4.1e-003 0.31 9 6.2e+000 9.9e+000 3.4e+002 8.29e-001 -9.472729450e+003 2.930087106e+003 2.8e-003 0.33 10 2.1e+000 3.3e+000 1.1e+002 9.00e-001 -3.062141533e+003 1.207024944e+003 9.3e-004 0.34 11 1.4e+000 2.2e+000 7.6e+001 9.79e-001 -1.948802145e+003 9.402065323e+002 6.2e-004 0.36 12 7.9e-001 1.3e+000 4.3e+001 9.79e-001 -1.037331750e+003 6.259799216e+002 3.6e-004 0.39 13 3.7e-001 6.2e-001 2.0e+001 9.90e-001 -3.863321936e+002 3.895412130e+002 1.7e-004 0.41 14 1.7e-001 3.1e-001 9.3e+000 1.00e+000 -8.042206672e+001 2.741877533e+002 7.7e-005 0.42 15 5.1e-002 3.7e-001 2.9e+000 1.00e+000 9.113583242e+001 2.018365689e+002 2.4e-005 0.44 16 1.6e-002 1.6e-001 9.4e-001 1.01e+000 1.440235592e+002 1.797610260e+002 8.1e-006 0.45 17 5.2e-003 1.1e-001 3.2e-001 1.01e+000 1.612657409e+002 1.732240167e+002 2.7e-006 0.48 18 2.5e-003 8.5e-002 1.5e-001 1.00e+000 1.657988255e+002 1.715230390e+002 1.3e-006 0.50 19 8.0e-004 9.3e-002 5.1e-002 9.83e-001 1.685734198e+002 1.705122317e+002 4.5e-007 0.52 20 4.5e-004 7.4e-002 2.9e-002 9.73e-001 1.691893705e+002 1.702846763e+002 2.6e-007 0.53 21 1.8e-004 7.8e-002 1.2e-002 9.75e-001 1.696691256e+002 1.701160888e+002 1.0e-007 0.55 22 7.7e-005 7.6e-002 5.2e-003 9.94e-001 1.698468700e+002 1.700436343e+002 4.5e-008 0.58 23 4.0e-005 6.5e-002 2.7e-003 9.92e-001 1.699123314e+002 1.700163957e+002 2.4e-008 0.59 24 3.7e-005 5.9e-002 2.5e-003 1.00e+000 1.699197232e+002 1.700141020e+002 2.2e-008 0.61 25 3.3e-005 5.4e-002 2.2e-003 1.00e+000 1.699263885e+002 1.700113366e+002 2.0e-008 0.63 26 3.0e-005 4.9e-002 2.0e-003 1.00e+000 1.699323915e+002 1.700088395e+002 1.8e-008 0.66 27 2.7e-005 4.5e-002 1.8e-003 1.00e+000 1.699377841e+002 1.700065783e+002 1.6e-008 0.67 28 2.4e-005 4.1e-002 1.6e-003 1.00e+000 1.699426265e+002 1.700045350e+002 1.4e-008 0.70 29 2.2e-005 3.8e-002 1.5e-003 1.00e+000 1.699469774e+002 1.700026896e+002 1.3e-008 0.73 30 2.0e-005 3.5e-002 1.3e-003 1.00e+000 1.699508865e+002 1.700010231e+002 1.2e-008 0.75 31 1.8e-005 3.2e-002 1.2e-003 1.00e+000 1.699543992e+002 1.699995185e+002 1.0e-008 0.78 32 1.6e-005 3.0e-002 1.1e-003 1.00e+000 1.699575559e+002 1.699981603e+002 9.4e-009 0.81 33 1.4e-005 2.8e-002 9.6e-004 1.00e+000 1.699603931e+002 1.699969346e+002 8.5e-009 0.83 34 1.3e-005 2.6e-002 8.7e-004 1.00e+000 1.699629435e+002 1.699958288e+002 7.6e-009 0.86 35 1.2e-005 2.4e-002 7.8e-004 1.00e+000 1.699652364e+002 1.699948315e+002 6.9e-009 0.89 36 1.0e-005 2.2e-002 7.0e-004 1.00e+000 1.699672979e+002 1.699939321e+002 6.2e-009 0.92 37 9.3e-006 2.1e-002 6.3e-004 1.00e+000 1.699691516e+002 1.699931213e+002 5.6e-009 0.95 38 8.4e-006 2.0e-002 5.7e-004 1.00e+000 1.699708186e+002 1.699923903e+002 5.0e-009 0.97 39 7.6e-006 1.8e-002 5.1e-004 1.00e+000 1.699723176e+002 1.699917315e+002 4.5e-009 1.00 40 6.8e-006 1.7e-002 4.6e-004 1.00e+000 1.699736658e+002 1.699911377e+002 4.0e-009 1.03 41 6.1e-006 1.6e-002 4.1e-004 1.00e+000 1.699748784e+002 1.699906025e+002 3.6e-009 1.05 42 5.5e-006 1.5e-002 3.7e-004 1.00e+000 1.699759690e+002 1.699901203e+002 3.3e-009 1.08 43 5.0e-006 1.5e-002 3.4e-004 1.00e+000 1.699769500e+002 1.699896858e+002 3.0e-009 1.09 44 4.5e-006 1.4e-002 3.0e-004 1.00e+000 1.699778324e+002 1.699892944e+002 2.7e-009 1.13 45 4.0e-006 1.3e-002 2.7e-004 1.00e+000 1.699786261e+002 1.699889417e+002 2.4e-009 1.14 46 3.6e-006 1.3e-002 2.4e-004 1.00e+000 1.699793401e+002 1.699886240e+002 2.2e-009 1.17 47 3.3e-006 1.2e-002 2.2e-004 1.00e+000 1.699799825e+002 1.699883378e+002 1.9e-009 1.19 48 2.9e-006 1.2e-002 2.0e-004 1.00e+000 1.699805604e+002 1.699880800e+002 1.7e-009 1.22 49 2.6e-006 1.1e-002 1.8e-004 1.00e+000 1.699810802e+002 1.699878479e+002 1.6e-009 1.25 50 2.4e-006 1.1e-002 1.6e-004 1.00e+000 1.699815480e+002 1.699876388e+002 1.4e-009 1.26 51 2.1e-006 1.1e-002 1.4e-004 1.00e+000 1.699819688e+002 1.699874504e+002 1.3e-009 1.30 52 1.9e-006 1.0e-002 1.3e-004 1.00e+000 1.699823474e+002 1.699872808e+002 1.1e-009 1.31 53 1.7e-006 1.0e-002 1.2e-004 1.00e+000 1.699826880e+002 1.699871281e+002 1.0e-009 1.34 54 1.6e-006 9.9e-003 1.1e-004 1.00e+000 1.699829945e+002 1.699869905e+002 9.3e-010 1.36 55 1.4e-006 9.7e-003 9.5e-005 1.00e+000 1.699832703e+002 1.699868667e+002 8.3e-010 1.39 56 1.3e-006 9.5e-003 8.5e-005 1.00e+000 1.699835184e+002 1.699867552e+002 7.5e-010 1.41 57 1.1e-006 9.3e-003 7.7e-005 1.00e+000 1.699837417e+002 1.699866548e+002 6.8e-010 1.44 58 1.0e-006 9.1e-003 6.9e-005 1.00e+000 1.699839426e+002 1.699865644e+002 6.1e-010 1.45 59 9.2e-007 9.0e-003 6.2e-005 1.00e+000 1.699841234e+002 1.699864830e+002 5.5e-010 1.48 60 8.3e-007 8.9e-003 5.6e-005 1.00e+000 1.699842861e+002 1.699864097e+002 4.9e-010 1.50 61 7.4e-007 8.7e-003 5.0e-005 1.00e+000 1.699844325e+002 1.699863437e+002 4.4e-010 1.53 62 6.7e-007 8.6e-003 4.5e-005 1.00e+000 1.699845642e+002 1.699862843e+002 4.0e-010 1.55 63 6.0e-007 8.5e-003 4.1e-005 1.00e+000 1.699846827e+002 1.699862308e+002 3.6e-010 1.58 64 5.4e-007 8.4e-003 3.7e-005 1.00e+000 1.699847894e+002 1.699861827e+002 3.2e-010 1.59 65 4.9e-007 8.3e-003 3.3e-005 1.00e+000 1.699848854e+002 1.699861394e+002 2.9e-010 1.63 66 4.4e-007 8.3e-003 3.0e-005 1.00e+000 1.699849718e+002 1.699861004e+002 2.6e-010 1.64 67 4.0e-007 8.2e-003 2.7e-005 1.00e+000 1.699850495e+002 1.699860652e+002 2.4e-010 1.67 68 3.6e-007 8.1e-003 2.4e-005 1.00e+000 1.699851195e+002 1.699860336e+002 2.1e-010 1.69 69 3.2e-007 8.1e-003 2.2e-005 1.00e+000 1.699851825e+002 1.699860052e+002 1.9e-010 1.70 70 2.9e-007 8.0e-003 2.0e-005 1.00e+000 1.699852391e+002 1.699859796e+002 1.7e-010 1.73 71 2.6e-007 8.0e-003 1.8e-005 1.00e+000 1.699852901e+002 1.699859565e+002 1.5e-010 1.75 72 2.3e-007 7.9e-003 1.6e-005 1.00e+000 1.699853360e+002 1.699859358e+002 1.4e-010 1.78 73 2.1e-007 7.9e-003 1.4e-005 1.00e+000 1.699853773e+002 1.699859171e+002 1.3e-010 1.80 74 1.9e-007 7.8e-003 1.3e-005 9.99e-001 1.699854145e+002 1.699859003e+002 1.1e-010 1.81 75 1.7e-007 7.8e-003 1.2e-005 1.00e+000 1.699854480e+002 1.699858852e+002 1.0e-010 1.84 76 1.5e-007 7.8e-003 1.0e-005 1.00e+000 1.699854780e+002 1.699858716e+002 9.1e-011 1.86 77 1.4e-007 7.7e-003 9.3e-006 1.00e+000 1.699855052e+002 1.699858593e+002 8.2e-011 1.89 78 1.2e-007 7.7e-003 8.4e-006 9.99e-001 1.699855295e+002 1.699858483e+002 7.4e-011 1.91 79 1.1e-007 7.7e-003 7.6e-006 9.96e-001 1.699855515e+002 1.699858384e+002 6.7e-011 1.92 80 1.0e-007 7.7e-003 6.8e-006 1.00e+000 1.699855712e+002 1.699858294e+002 6.0e-011 1.95 81 9.1e-008 7.6e-003 6.1e-006 1.00e+000 1.699855890e+002 1.699858214e+002 5.4e-011 1.98 82 8.1e-008 7.6e-003 5.5e-006 9.98e-001 1.699856050e+002 1.699858142e+002 4.9e-011 2.00 83 7.3e-008 6.8e-003 5.0e-006 1.01e+000 1.699856200e+002 1.699858073e+002 4.4e-011 2.03 84 6.6e-008 6.2e-003 4.5e-006 9.95e-001 1.699856329e+002 1.699858015e+002 3.9e-011 2.05 85 5.9e-008 5.5e-003 4.0e-006 1.00e+000 1.699856445e+002 1.699857961e+002 3.6e-011 2.08 86 5.4e-008 5.0e-003 3.6e-006 9.73e-001 1.699856550e+002 1.699857914e+002 3.2e-011 2.09 87 4.9e-008 4.5e-003 3.3e-006 1.01e+000 1.699856648e+002 1.699857868e+002 2.9e-011 2.13 88 4.4e-008 4.0e-003 2.9e-006 9.98e-001 1.699856733e+002 1.699857830e+002 2.6e-011 2.14 89 4.1e-008 3.6e-003 2.6e-006 9.93e-001 1.699856809e+002 1.699857795e+002 2.3e-011 2.17 90 3.6e-008 3.3e-003 2.4e-006 1.05e+000 1.699856890e+002 1.699857759e+002 2.2e-011 2.19 91 3.2e-008 2.9e-003 2.1e-006 9.48e-001 1.699856950e+002 1.699857732e+002 1.9e-011 2.22 92 3.5e-008 2.7e-003 1.9e-006 9.80e-001 1.699857005e+002 1.699857704e+002 1.7e-011 2.23 93 3.6e-008 2.4e-003 1.7e-006 9.93e-001 1.699857054e+002 1.699857680e+002 1.6e-011 2.27 94 3.0e-008 2.1e-003 1.6e-006 1.09e+000 1.699857114e+002 1.699857654e+002 1.5e-011 2.28 95 3.0e-008 1.9e-003 1.4e-006 1.06e+000 1.699857161e+002 1.699857632e+002 1.4e-011 2.31 96 3.7e-008 1.7e-003 1.3e-006 9.99e-001 1.699857195e+002 1.699857615e+002 1.2e-011 2.33 97 7.0e-008 1.6e-003 1.1e-006 1.41e+000 1.699857226e+002 1.699857598e+002 1.1e-011 2.36 98 1.3e-007 1.4e-003 1.0e-006 9.97e-001 1.699857262e+002 1.699857559e+002 9.6e-012 2.38 99 8.6e-008 4.9e-004 3.6e-007 6.91e-001 1.699857408e+002 1.699857505e+002 2.8e-012 2.39 100 1.7e-007 4.4e-004 4.4e-007 1.00e+000 1.699857384e+002 1.699857503e+002 2.5e-012 2.42 101 1.5e-007 4.4e-004 4.4e-007 8.90e-001 1.699857381e+002 1.699857505e+002 2.5e-012 2.44 102 1.5e-007 4.4e-004 4.4e-007 1.00e+000 1.699857381e+002 1.699857505e+002 2.5e-012 2.47 Interior-point optimizer terminated. Time: 2.47. Optimizer terminated. Time: 2.48 solsta = 8, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : NEAR_OPTIMAL Primal. obj: 1.6998573812e+002 nrm: 4e+001 Viol. con: 2e-006 var: 0e+000 Dual. obj: 1.6998575047e+002 nrm: 8e+002 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 2.51 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 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 : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 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 : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.241255584e+005 2.000000000e+000 1.0e+000 0.06 1 1.7e+003 2.7e+003 9.0e+004 -9.71e-001 -1.233918433e+005 2.617775044e+000 7.3e-001 0.09 2 8.4e+002 1.3e+003 4.6e+004 -9.59e-001 -1.208857810e+005 4.792838867e+000 3.7e-001 0.13 3 2.9e+002 4.7e+002 1.6e+004 -9.18e-001 -1.121601097e+005 2.020486225e+001 1.3e-001 0.16 4 2.9e+002 4.7e+002 1.6e+004 -7.73e-001 -1.098277313e+005 2.059385055e+003 1.3e-001 0.17 5 1.3e+002 2.0e+002 6.8e+003 -7.63e-001 -8.962955986e+004 6.127435009e+003 5.6e-002 0.20 6 4.4e+001 7.0e+001 2.4e+003 -4.69e-001 -5.166937183e+004 1.070849799e+004 1.9e-002 0.22 7 2.8e+001 4.4e+001 1.5e+003 1.62e-001 -3.727445777e+004 7.635453747e+003 1.2e-002 0.25 8 1.3e+001 2.1e+001 7.2e+002 4.34e-001 -2.001267533e+004 4.763992094e+003 5.9e-003 0.27 9 5.1e+000 8.2e+000 2.8e+002 7.33e-001 -7.914443372e+003 2.431540415e+003 2.3e-003 0.30 10 2.7e+000 4.3e+000 1.5e+002 9.23e-001 -4.023273087e+003 1.580187571e+003 1.2e-003 0.31 11 1.1e+000 1.8e+000 6.1e+001 9.74e-001 -1.551656896e+003 7.426019426e+002 5.0e-004 0.34 12 8.8e-001 1.4e+000 4.8e+001 9.85e-001 -1.198549286e+003 6.448305961e+002 4.0e-004 0.36 13 6.9e-001 1.2e+000 3.8e+001 9.67e-001 -9.295983624e+002 5.430288592e+002 3.1e-004 0.39 14 3.4e-001 5.7e-001 1.9e+001 9.90e-001 -3.494631642e+002 3.670240167e+002 1.5e-004 0.41 15 1.8e-001 3.0e-001 9.8e+000 9.97e-001 -1.152210956e+002 2.601420172e+002 8.1e-005 0.44 16 8.2e-002 1.6e-001 4.6e+000 1.00e+000 2.515843883e+001 2.025314738e+002 3.9e-005 0.45 17 7.8e-002 1.6e-001 4.4e+000 1.02e+000 3.997737602e+001 2.075807159e+002 3.7e-005 0.48 18 3.3e-002 9.1e-002 1.9e+000 1.01e+000 1.113489104e+002 1.837209262e+002 1.6e-005 0.50 19 9.4e-003 1.7e-001 5.4e-001 1.02e+000 1.522227840e+002 1.727334531e+002 4.5e-006 0.53 20 4.4e-003 1.9e-001 2.6e-001 1.00e+000 1.597228023e+002 1.694493218e+002 2.2e-006 0.55 21 2.8e-003 1.5e-001 1.7e-001 1.00e+000 1.625175431e+002 1.687345498e+002 1.4e-006 0.58 22 1.1e-003 1.2e-001 6.4e-002 1.00e+000 1.654254592e+002 1.678309950e+002 5.4e-007 0.59 23 4.2e-004 1.0e-001 2.5e-002 1.01e+000 1.665015499e+002 1.674439768e+002 2.1e-007 0.63 24 1.5e-004 1.0e-001 9.1e-003 1.01e+000 1.669320433e+002 1.672704164e+002 7.8e-008 0.64 25 1.3e-004 9.5e-002 8.2e-003 1.01e+000 1.669592679e+002 1.672637083e+002 7.0e-008 0.67 26 1.2e-004 8.6e-002 7.4e-003 1.01e+000 1.669804280e+002 1.672543144e+002 6.3e-008 0.70 27 1.1e-004 7.8e-002 6.6e-003 1.01e+000 1.669996493e+002 1.672460569e+002 5.7e-008 0.73 28 9.7e-005 7.1e-002 6.0e-003 1.01e+000 1.670168220e+002 1.672385123e+002 5.1e-008 0.77 29 8.7e-005 6.5e-002 5.4e-003 1.01e+000 1.670322296e+002 1.672316880e+002 4.6e-008 0.80 30 7.8e-005 5.9e-002 4.8e-003 1.01e+000 1.670460500e+002 1.672255096e+002 4.2e-008 0.83 31 7.1e-005 5.4e-002 4.4e-003 1.01e+000 1.670584508e+002 1.672199201e+002 3.7e-008 0.84 32 6.3e-005 5.0e-002 3.9e-003 1.01e+000 1.670695792e+002 1.672148658e+002 3.4e-008 0.88 33 5.7e-005 4.5e-002 3.5e-003 1.01e+000 1.670795666e+002 1.672102930e+002 3.0e-008 0.91 34 5.1e-005 4.2e-002 3.2e-003 1.01e+000 1.670885322e+002 1.672061631e+002 2.7e-008 0.94 35 4.6e-005 3.8e-002 2.9e-003 1.01e+000 1.670965801e+002 1.672024288e+002 2.5e-008 0.95 36 4.2e-005 3.5e-002 2.6e-003 1.00e+000 1.671038063e+002 1.671990537e+002 2.2e-008 0.97 37 3.7e-005 3.2e-002 2.3e-003 1.00e+000 1.671102955e+002 1.671960053e+002 2.0e-008 1.00 38 3.4e-005 3.0e-002 2.1e-003 1.00e+000 1.671161232e+002 1.671932512e+002 1.8e-008 1.02 39 3.0e-005 2.8e-002 1.9e-003 1.00e+000 1.671213578e+002 1.671907645e+002 1.6e-008 1.03 40 2.7e-005 2.6e-002 1.7e-003 1.00e+000 1.671260600e+002 1.671885187e+002 1.5e-008 1.06 41 2.5e-005 2.4e-002 1.5e-003 1.00e+000 1.671302845e+002 1.671864925e+002 1.3e-008 1.08 42 2.2e-005 2.2e-002 1.4e-003 1.00e+000 1.671340801e+002 1.671846624e+002 1.2e-008 1.11 43 2.0e-005 2.1e-002 1.2e-003 1.00e+000 1.671374910e+002 1.671830115e+002 1.1e-008 1.13 44 1.8e-005 2.0e-002 1.1e-003 1.00e+000 1.671405563e+002 1.671815205e+002 9.5e-009 1.16 45 1.6e-005 1.9e-002 1.0e-003 1.00e+000 1.671433114e+002 1.671801773e+002 8.6e-009 1.17 46 1.5e-005 1.7e-002 9.0e-004 1.00e+000 1.671457875e+002 1.671789662e+002 7.7e-009 1.20 47 1.3e-005 1.7e-002 8.1e-004 1.00e+000 1.671480133e+002 1.671778732e+002 7.0e-009 1.22 48 1.2e-005 1.6e-002 7.3e-004 1.00e+000 1.671500146e+002 1.671768867e+002 6.3e-009 1.23 49 1.1e-005 1.5e-002 6.6e-004 1.00e+000 1.671518141e+002 1.671759972e+002 5.6e-009 1.27 50 9.5e-006 1.4e-002 5.9e-004 1.00e+000 1.671534321e+002 1.671751956e+002 5.1e-009 1.28 51 8.6e-006 1.4e-002 5.3e-004 1.00e+000 1.671548869e+002 1.671744731e+002 4.6e-009 1.31 52 7.7e-006 1.3e-002 4.8e-004 1.00e+000 1.671561950e+002 1.671738232e+002 4.1e-009 1.33 53 6.9e-006 1.3e-002 4.3e-004 1.00e+000 1.671573715e+002 1.671732366e+002 3.7e-009 1.34 54 6.3e-006 1.2e-002 3.9e-004 1.00e+000 1.671584296e+002 1.671727087e+002 3.3e-009 1.38 55 5.6e-006 1.2e-002 3.5e-004 1.00e+000 1.671593816e+002 1.671722312e+002 3.0e-009 1.41 56 5.1e-006 1.1e-002 3.1e-004 1.00e+000 1.671602378e+002 1.671718018e+002 2.7e-009 1.44 57 1.7e-006 3.7e-003 1.0e-004 1.00e+000 1.671653857e+002 1.671691937e+002 8.9e-010 1.47 58 9.7e-007 2.2e-003 6.1e-005 1.01e+000 1.671664274e+002 1.671686605e+002 5.2e-010 1.50 59 8.8e-007 2.0e-003 5.5e-005 9.84e-001 1.671665820e+002 1.671685928e+002 4.7e-010 1.55 60 7.9e-007 1.8e-003 4.9e-005 1.01e+000 1.671667161e+002 1.671685232e+002 4.2e-010 1.58 61 7.1e-007 1.6e-003 4.4e-005 1.01e+000 1.671668413e+002 1.671684588e+002 3.8e-010 1.63 62 6.4e-007 1.4e-003 4.0e-005 1.00e+000 1.671669485e+002 1.671684042e+002 3.4e-010 1.66 63 5.8e-007 1.3e-003 3.6e-005 1.01e+000 1.671670466e+002 1.671683538e+002 3.1e-010 1.70 64 5.2e-007 1.2e-003 3.2e-005 1.00e+000 1.671671332e+002 1.671683097e+002 2.8e-010 1.73 65 4.7e-007 1.0e-003 2.9e-005 1.01e+000 1.671672128e+002 1.671682686e+002 2.5e-010 1.77 66 4.2e-007 9.4e-004 2.6e-005 9.98e-001 1.671672827e+002 1.671682331e+002 2.3e-010 1.80 67 3.8e-007 8.5e-004 2.3e-005 9.73e-001 1.671673453e+002 1.671682016e+002 2.0e-010 1.83 68 3.4e-007 7.6e-004 2.1e-005 1.02e+000 1.671674069e+002 1.671681694e+002 1.8e-010 1.88 69 3.1e-007 6.8e-004 1.9e-005 1.04e+000 1.671674652e+002 1.671681385e+002 1.7e-010 1.91 70 2.8e-007 6.2e-004 1.7e-005 1.03e+000 1.671675161e+002 1.671681115e+002 1.5e-010 1.94 71 2.5e-007 5.5e-004 1.5e-005 1.02e+000 1.671675581e+002 1.671680898e+002 1.4e-010 1.98 72 2.2e-007 5.0e-004 1.4e-005 1.01e+000 1.671675947e+002 1.671680711e+002 1.3e-010 2.02 73 2.0e-007 4.5e-004 1.2e-005 1.00e+000 1.671676262e+002 1.671680551e+002 1.1e-010 2.05 74 1.8e-007 4.0e-004 1.1e-005 9.60e-001 1.671676545e+002 1.671680411e+002 1.0e-010 2.08 75 1.6e-007 3.6e-004 1.0e-005 1.00e+000 1.671676801e+002 1.671680279e+002 9.2e-011 2.11 76 1.5e-007 3.3e-004 9.1e-006 1.22e+000 1.671677038e+002 1.671680142e+002 8.3e-011 2.16 77 1.3e-007 2.9e-004 8.2e-006 9.95e-001 1.671677244e+002 1.671680035e+002 7.5e-011 2.19 78 1.2e-007 2.7e-004 7.4e-006 1.01e+000 1.671677438e+002 1.671679939e+002 6.7e-011 2.22 79 1.1e-007 2.4e-004 6.6e-006 8.87e-001 1.671677601e+002 1.671679865e+002 6.1e-011 2.25 80 9.6e-008 2.1e-004 6.0e-006 1.06e+000 1.671677795e+002 1.671679760e+002 5.6e-011 2.28 81 8.7e-008 1.9e-004 5.4e-006 1.13e+000 1.671678002e+002 1.671679646e+002 5.4e-011 2.31 82 7.9e-008 1.7e-004 4.8e-006 1.04e+000 1.671678133e+002 1.671679579e+002 5.0e-011 2.34 83 7.1e-008 1.6e-004 4.4e-006 9.39e-001 1.671678229e+002 1.671679534e+002 4.5e-011 2.38 84 6.3e-008 1.4e-004 3.9e-006 7.74e-001 1.671678314e+002 1.671679501e+002 4.0e-011 2.41 85 5.7e-008 1.3e-004 3.5e-006 8.54e-001 1.671678391e+002 1.671679467e+002 3.6e-011 2.44 86 5.2e-008 1.1e-004 3.2e-006 1.18e+000 1.671678522e+002 1.671679389e+002 3.6e-011 2.45 87 4.7e-008 1.0e-004 2.9e-006 8.89e-001 1.671678579e+002 1.671679363e+002 3.2e-011 2.48 88 4.4e-008 9.3e-005 2.6e-006 1.15e+000 1.671678666e+002 1.671679318e+002 3.1e-011 2.52 89 4.0e-008 8.3e-005 2.3e-006 6.90e-001 1.671678708e+002 1.671679302e+002 2.8e-011 2.55 90 4.0e-008 7.5e-005 2.1e-006 9.41e-001 1.671678747e+002 1.671679284e+002 2.5e-011 2.58 91 3.6e-008 6.7e-005 1.9e-006 8.10e-001 1.671678782e+002 1.671679268e+002 2.3e-011 2.61 92 3.0e-008 6.1e-005 1.7e-006 6.52e-001 1.671678813e+002 1.671679258e+002 2.0e-011 2.64 93 3.6e-008 5.5e-005 1.5e-006 1.15e+000 1.671678863e+002 1.671679226e+002 2.0e-011 2.67 94 3.4e-008 4.9e-005 1.4e-006 1.09e+000 1.671678897e+002 1.671679205e+002 1.9e-011 2.70 95 3.2e-008 4.4e-005 1.2e-006 5.36e-001 1.671678917e+002 1.671679200e+002 1.7e-011 2.75 96 7.5e-008 4.0e-005 1.1e-006 4.59e+000 1.671678945e+002 1.671679157e+002 1.4e-011 2.80 97 7.5e-008 3.6e-005 1.0e-006 4.68e+000 1.671678972e+002 1.671679135e+002 1.2e-011 2.83 Interior-point optimizer terminated. Time: 2.83. Optimizer terminated. Time: 2.84 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6716789720e+002 nrm: 2e+001 Viol. con: 1e-006 var: 0e+000 Dual. obj: 1.6716791353e+002 nrm: 9e+002 Viol. con: 0e+000 var: 1e-004 * End solution on dual form. * Transforming to primal solution. Solving took 2.87 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 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 : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 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 : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.240684267e+005 2.000000000e+000 1.0e+000 0.05 1 1.7e+003 2.7e+003 9.1e+004 -9.71e-001 -1.233469161e+005 2.600997262e+000 7.3e-001 0.08 2 8.7e+002 1.4e+003 4.7e+004 -9.60e-001 -1.209708156e+005 4.624584994e+000 3.8e-001 0.11 3 2.9e+002 4.7e+002 1.6e+004 -9.21e-001 -1.120970010e+005 1.996088355e+001 1.3e-001 0.14 4 2.9e+002 4.6e+002 1.6e+004 -7.74e-001 -1.097419621e+005 2.083260121e+003 1.3e-001 0.17 5 1.2e+002 1.9e+002 6.6e+003 -7.64e-001 -8.877253274e+004 6.300328646e+003 5.4e-002 0.20 6 3.9e+001 6.3e+001 2.1e+003 -4.57e-001 -4.750532453e+004 1.132724147e+004 1.7e-002 0.25 7 2.4e+001 3.9e+001 1.3e+003 2.34e-001 -3.373376781e+004 7.594548197e+003 1.1e-002 0.27 8 1.2e+001 1.9e+001 6.3e+002 4.98e-001 -1.775139145e+004 4.449749373e+003 5.2e-003 0.30 9 4.2e+000 6.7e+000 2.3e+002 7.74e-001 -6.500441884e+003 2.130705075e+003 1.9e-003 0.33 10 2.3e+000 3.7e+000 1.3e+002 9.44e-001 -3.436946383e+003 1.398865087e+003 1.1e-003 0.34 11 1.1e+000 1.8e+000 6.1e+001 9.83e-001 -1.555737698e+003 7.560744781e+002 5.0e-004 0.38 12 8.2e-001 1.3e+000 4.5e+001 9.86e-001 -1.114542675e+003 6.044179885e+002 3.7e-004 0.41 13 6.0e-001 9.8e-001 3.3e+001 9.66e-001 -7.980011490e+002 4.834118213e+002 2.7e-004 0.44 14 3.2e-001 5.3e-001 1.8e+001 9.96e-001 -3.323467864e+002 3.542344769e+002 1.5e-004 0.45 15 1.1e-001 2.1e-001 6.2e+000 9.93e-001 -2.403444305e+001 2.152017940e+002 5.2e-005 0.48 16 8.6e-002 1.6e-001 4.9e+000 1.02e+000 2.458437032e+001 2.098954748e+002 4.0e-005 0.52 17 7.5e-002 1.4e-001 4.2e+000 1.02e+000 4.249756300e+001 2.037531778e+002 3.5e-005 0.53 18 2.7e-002 8.2e-002 1.5e+000 1.02e+000 1.222152232e+002 1.799746684e+002 1.3e-005 0.56 19 8.1e-003 1.8e-001 4.7e-001 1.01e+000 1.539531228e+002 1.715588370e+002 3.9e-006 0.59 20 2.9e-003 1.6e-001 1.7e-001 1.00e+000 1.619992614e+002 1.683428507e+002 1.4e-006 0.61 21 1.0e-003 1.3e-001 6.2e-002 1.01e+000 1.650255874e+002 1.673539377e+002 5.2e-007 0.64 22 5.7e-004 9.1e-002 3.4e-002 9.91e-001 1.657861482e+002 1.670674124e+002 2.9e-007 0.67 23 2.0e-004 9.5e-002 1.3e-002 9.96e-001 1.663687719e+002 1.668389268e+002 1.1e-007 0.69 24 1.8e-004 9.2e-002 1.1e-002 1.01e+000 1.664058382e+002 1.668282101e+002 9.7e-008 0.72 25 8.0e-005 8.3e-002 5.0e-003 1.01e+000 1.665687440e+002 1.667552293e+002 4.3e-008 0.75 26 7.2e-005 7.5e-002 4.5e-003 1.01e+000 1.665826881e+002 1.667505474e+002 3.9e-008 0.77 27 6.5e-005 6.9e-002 4.1e-003 1.01e+000 1.665941871e+002 1.667452177e+002 3.5e-008 0.80 28 5.9e-005 6.2e-002 3.7e-003 1.01e+000 1.666046410e+002 1.667405412e+002 3.2e-008 0.83 29 5.3e-005 5.7e-002 3.3e-003 1.01e+000 1.666140107e+002 1.667362972e+002 2.8e-008 0.84 30 4.7e-005 5.2e-002 3.0e-003 1.01e+000 1.666224290e+002 1.667324677e+002 2.6e-008 0.88 31 4.3e-005 4.8e-002 2.7e-003 1.00e+000 1.666299903e+002 1.667290094e+002 2.3e-008 0.91 32 3.8e-005 4.4e-002 2.4e-003 1.00e+000 1.666367827e+002 1.667258872e+002 2.1e-008 0.92 33 3.5e-005 4.0e-002 2.2e-003 1.00e+000 1.666428848e+002 1.667230684e+002 1.9e-008 0.94 34 3.1e-005 3.7e-002 1.9e-003 1.00e+000 1.666483670e+002 1.667205238e+002 1.7e-008 0.97 35 2.8e-005 3.4e-002 1.8e-003 1.00e+000 1.666532927e+002 1.667182269e+002 1.5e-008 0.98 36 2.5e-005 3.1e-002 1.6e-003 1.00e+000 1.666577186e+002 1.667161539e+002 1.4e-008 1.01 37 2.3e-005 2.9e-002 1.4e-003 1.00e+000 1.666616956e+002 1.667142829e+002 1.2e-008 1.03 38 2.0e-005 2.7e-002 1.3e-003 1.00e+000 1.666652696e+002 1.667125945e+002 1.1e-008 1.06 39 1.8e-005 2.5e-002 1.2e-003 1.00e+000 1.666684815e+002 1.667110710e+002 9.9e-009 1.08 40 1.7e-005 2.3e-002 1.0e-003 1.00e+000 1.666713683e+002 1.667096965e+002 8.9e-009 1.11 41 1.5e-005 2.2e-002 9.3e-004 1.00e+000 1.666739630e+002 1.667084565e+002 8.0e-009 1.13 42 1.3e-005 2.1e-002 8.4e-004 1.00e+000 1.666762953e+002 1.667073380e+002 7.2e-009 1.16 43 1.2e-005 1.9e-002 7.6e-004 1.00e+000 1.666783920e+002 1.667063292e+002 6.5e-009 1.17 44 1.1e-005 1.8e-002 6.8e-004 1.00e+000 1.666802768e+002 1.667054193e+002 5.9e-009 1.20 45 9.8e-006 1.7e-002 6.1e-004 1.00e+000 1.666819713e+002 1.667045989e+002 5.3e-009 1.22 46 8.8e-006 1.6e-002 5.5e-004 1.00e+000 1.666834948e+002 1.667038591e+002 4.7e-009 1.25 47 7.9e-006 1.5e-002 5.0e-004 1.00e+000 1.666848647e+002 1.667031920e+002 4.3e-009 1.26 48 7.1e-006 1.5e-002 4.5e-004 1.00e+000 1.666860964e+002 1.667025906e+002 3.8e-009 1.28 49 6.4e-006 1.4e-002 4.0e-004 1.00e+000 1.666872039e+002 1.667020484e+002 3.5e-009 1.31 50 5.8e-006 1.3e-002 3.6e-004 1.00e+000 1.666881998e+002 1.667015597e+002 3.1e-009 1.33 51 5.2e-006 1.3e-002 3.3e-004 1.00e+000 1.666890953e+002 1.667011190e+002 2.8e-009 1.36 52 4.7e-006 1.2e-002 2.9e-004 1.00e+000 1.666899006e+002 1.667007218e+002 2.5e-009 1.38 53 4.2e-006 1.2e-002 2.6e-004 1.00e+000 1.666906247e+002 1.667003637e+002 2.3e-009 1.39 54 3.8e-006 1.2e-002 2.4e-004 1.00e+000 1.666912758e+002 1.667000408e+002 2.0e-009 1.42 55 3.4e-006 1.1e-002 2.1e-004 1.00e+000 1.666918612e+002 1.666997497e+002 1.8e-009 1.44 56 3.1e-006 1.1e-002 1.9e-004 1.00e+000 1.666923877e+002 1.666994872e+002 1.7e-009 1.47 57 2.8e-006 1.1e-002 1.7e-004 1.00e+000 1.666928610e+002 1.666992506e+002 1.5e-009 1.51 58 2.5e-006 1.0e-002 1.6e-004 1.00e+000 1.666932867e+002 1.666990374e+002 1.3e-009 1.53 59 2.2e-006 1.0e-002 1.4e-004 1.00e+000 1.666936696e+002 1.666988452e+002 1.2e-009 1.56 60 2.0e-006 1.0e-002 1.3e-004 1.00e+000 1.666940139e+002 1.666986719e+002 1.1e-009 1.58 61 1.8e-006 9.8e-003 1.1e-004 1.00e+000 1.666943236e+002 1.666985158e+002 9.8e-010 1.61 62 1.6e-006 9.6e-003 1.0e-004 1.00e+000 1.666946022e+002 1.666983752e+002 8.8e-010 1.63 63 1.5e-006 9.5e-003 9.2e-005 1.00e+000 1.666948528e+002 1.666982484e+002 7.9e-010 1.64 64 1.3e-006 9.4e-003 8.3e-005 1.00e+000 1.666950781e+002 1.666981342e+002 7.1e-010 1.67 65 1.2e-006 9.2e-003 7.4e-005 1.00e+000 1.666952808e+002 1.666980313e+002 6.4e-010 1.69 66 1.1e-006 9.1e-003 6.7e-005 1.00e+000 1.666954631e+002 1.666979385e+002 5.8e-010 1.70 67 9.6e-007 9.0e-003 6.0e-005 1.00e+000 1.666956270e+002 1.666978549e+002 5.2e-010 1.73 68 8.7e-007 8.9e-003 5.4e-005 1.00e+000 1.666957744e+002 1.666977795e+002 4.7e-010 1.75 69 7.8e-007 8.8e-003 4.9e-005 1.00e+000 1.666959070e+002 1.666977116e+002 4.2e-010 1.78 70 7.0e-007 8.8e-003 4.4e-005 1.00e+000 1.666960262e+002 1.666976503e+002 3.8e-010 1.80 71 6.3e-007 8.7e-003 4.0e-005 1.00e+000 1.666961334e+002 1.666975951e+002 3.4e-010 1.83 72 5.7e-007 8.6e-003 3.6e-005 1.00e+000 1.666962298e+002 1.666975453e+002 3.1e-010 1.84 73 5.1e-007 8.6e-003 3.2e-005 1.00e+000 1.666963164e+002 1.666975004e+002 2.8e-010 1.86 74 4.6e-007 8.5e-003 2.9e-005 1.00e+000 1.666963943e+002 1.666974599e+002 2.5e-010 1.89 75 4.1e-007 8.5e-003 2.6e-005 1.00e+000 1.666964644e+002 1.666974234e+002 2.2e-010 1.91 76 3.7e-007 8.4e-003 2.3e-005 1.00e+000 1.666965274e+002 1.666973905e+002 2.0e-010 1.94 77 3.4e-007 8.4e-003 2.1e-005 1.00e+000 1.666965841e+002 1.666973609e+002 1.8e-010 1.95 78 3.0e-007 8.3e-003 1.9e-005 1.00e+000 1.666966350e+002 1.666973341e+002 1.6e-010 1.98 79 2.7e-007 8.3e-003 1.7e-005 1.00e+000 1.666966808e+002 1.666973101e+002 1.5e-010 2.02 80 2.4e-007 8.2e-003 1.5e-005 1.00e+000 1.666967220e+002 1.666972884e+002 1.3e-010 2.03 81 2.2e-007 8.2e-003 1.4e-005 1.00e+000 1.666967591e+002 1.666972688e+002 1.2e-010 2.06 82 2.0e-007 8.2e-003 1.2e-005 1.00e+000 1.666967925e+002 1.666972512e+002 1.1e-010 2.08 83 1.8e-007 8.1e-003 1.1e-005 1.00e+000 1.666968225e+002 1.666972354e+002 9.6e-011 2.09 84 1.6e-007 8.1e-003 1.0e-005 1.00e+000 1.666968495e+002 1.666972211e+002 8.7e-011 2.11 85 1.4e-007 8.1e-003 9.1e-006 1.00e+000 1.666968738e+002 1.666972082e+002 7.8e-011 2.13 86 1.3e-007 8.1e-003 8.1e-006 1.00e+000 1.666968957e+002 1.666971966e+002 7.0e-011 2.16 87 1.2e-007 8.0e-003 7.3e-006 9.99e-001 1.666969153e+002 1.666971862e+002 6.3e-011 2.17 88 1.1e-007 8.0e-003 6.6e-006 1.00e+000 1.666969330e+002 1.666971768e+002 5.7e-011 2.19 89 9.5e-008 8.0e-003 5.9e-006 9.99e-001 1.666969490e+002 1.666971683e+002 5.1e-011 2.20 90 8.5e-008 8.0e-003 5.3e-006 1.00e+000 1.666969633e+002 1.666971607e+002 4.6e-011 2.22 91 7.7e-008 7.9e-003 4.8e-006 9.98e-001 1.666969762e+002 1.666971539e+002 4.1e-011 2.23 92 6.9e-008 7.9e-003 4.3e-006 1.00e+000 1.666969878e+002 1.666971477e+002 3.7e-011 2.27 93 6.2e-008 7.9e-003 3.9e-006 9.98e-001 1.666969983e+002 1.666971421e+002 3.4e-011 2.28 94 5.6e-008 7.9e-003 3.5e-006 1.00e+000 1.666970077e+002 1.666971371e+002 3.0e-011 2.30 95 5.0e-008 7.9e-003 3.2e-006 1.00e+000 1.666970161e+002 1.666971326e+002 2.7e-011 2.31 96 4.5e-008 7.8e-003 2.8e-006 9.99e-001 1.666970237e+002 1.666971286e+002 2.5e-011 2.34 97 4.1e-008 7.8e-003 2.6e-006 9.99e-001 1.666970306e+002 1.666971250e+002 2.2e-011 2.38 98 3.7e-008 7.8e-003 2.3e-006 9.99e-001 1.666970367e+002 1.666971217e+002 2.0e-011 2.39 99 3.3e-008 7.8e-003 2.1e-006 9.99e-001 1.666970423e+002 1.666971188e+002 1.8e-011 2.42 100 3.0e-008 7.8e-003 1.9e-006 1.00e+000 1.666970473e+002 1.666971161e+002 1.6e-011 2.44 101 2.7e-008 7.7e-003 1.7e-006 1.00e+000 1.666970518e+002 1.666971138e+002 1.4e-011 2.47 102 2.4e-008 7.7e-003 1.5e-006 1.00e+000 1.666970558e+002 1.666971116e+002 1.3e-011 2.50 103 2.2e-008 7.7e-003 1.4e-006 9.94e-001 1.666970594e+002 1.666971097e+002 1.2e-011 2.52 104 2.0e-008 6.9e-003 1.2e-006 1.01e+000 1.666970628e+002 1.666971079e+002 1.1e-011 2.55 105 1.8e-008 6.2e-003 1.1e-006 9.92e-001 1.666970658e+002 1.666971063e+002 9.5e-012 2.56 106 1.6e-008 5.6e-003 9.9e-007 1.01e+000 1.666970685e+002 1.666971049e+002 8.6e-012 2.59 107 1.4e-008 5.0e-003 8.9e-007 9.98e-001 1.666970709e+002 1.666971036e+002 7.8e-012 2.63 108 1.3e-008 4.5e-003 8.0e-007 9.95e-001 1.666970730e+002 1.666971025e+002 7.0e-012 2.64 109 1.2e-008 4.1e-003 7.2e-007 1.01e+000 1.666970750e+002 1.666971014e+002 6.3e-012 2.67 110 1.0e-008 3.7e-003 6.5e-007 1.01e+000 1.666970768e+002 1.666971004e+002 5.7e-012 2.70 111 9.4e-009 3.3e-003 5.8e-007 9.99e-001 1.666970783e+002 1.666970996e+002 5.1e-012 2.73 112 1.2e-008 3.0e-003 5.3e-007 9.56e-001 1.666970797e+002 1.666970990e+002 4.6e-012 2.77 113 1.1e-008 2.7e-003 4.7e-007 1.00e+000 1.666970809e+002 1.666970985e+002 4.2e-012 2.78 114 9.8e-009 2.4e-003 4.3e-007 9.84e-001 1.666970820e+002 1.666970979e+002 3.7e-012 2.81 115 7.1e-009 2.2e-003 3.8e-007 9.97e-001 1.666970830e+002 1.666970974e+002 3.4e-012 2.83 116 6.4e-009 1.9e-003 3.5e-007 1.00e+000 1.666970839e+002 1.666970969e+002 3.0e-012 2.86 117 2.9e-008 1.8e-003 3.1e-007 1.06e+000 1.666970851e+002 1.666970956e+002 2.8e-012 2.88 118 4.5e-009 1.9e-004 3.3e-008 9.80e-001 1.666970914e+002 1.666970925e+002 2.9e-013 2.91 Interior-point optimizer terminated. Time: 2.91. Optimizer terminated. Time: 2.92 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6669709143e+002 nrm: 2e+001 Viol. con: 8e-008 var: 0e+000 Dual. obj: 1.6669709254e+002 nrm: 9e+002 Viol. con: 0e+000 var: 1e-003 * End solution on dual form. * Transforming to primal solution. Solving took 2.95 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.05 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 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 : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.240963523e+005 2.000000000e+000 1.0e+000 0.11 1 1.7e+003 2.7e+003 9.1e+004 -9.71e-001 -1.233818973e+005 2.593009051e+000 7.3e-001 0.14 2 8.7e+002 1.4e+003 4.7e+004 -9.60e-001 -1.210097566e+005 4.608561700e+000 3.8e-001 0.16 3 2.9e+002 4.7e+002 1.6e+004 -9.21e-001 -1.120818904e+005 1.987828643e+001 1.3e-001 0.19 4 2.9e+002 4.6e+002 1.6e+004 -7.73e-001 -1.097579318e+005 2.052120728e+003 1.3e-001 0.22 5 1.2e+002 1.9e+002 6.6e+003 -7.63e-001 -8.855435682e+004 6.345149550e+003 5.3e-002 0.25 6 4.2e+001 6.7e+001 2.3e+003 -4.54e-001 -5.030576539e+004 1.101019842e+004 1.9e-002 0.28 7 2.5e+001 4.0e+001 1.4e+003 1.84e-001 -3.465125593e+004 7.562102805e+003 1.1e-002 0.30 8 1.3e+001 2.1e+001 7.1e+002 4.82e-001 -1.970355835e+004 4.733333543e+003 5.8e-003 0.33 9 4.9e+000 7.8e+000 2.7e+002 7.42e-001 -7.581312009e+003 2.320528651e+003 2.2e-003 0.36 10 2.3e+000 3.7e+000 1.3e+002 9.30e-001 -3.385489336e+003 1.389721605e+003 1.0e-003 0.38 11 1.5e+000 2.4e+000 8.4e+001 9.82e-001 -2.185786000e+003 9.720528495e+002 6.9e-004 0.41 12 8.6e-001 1.4e+000 4.7e+001 9.88e-001 -1.162920561e+003 6.259504737e+002 3.9e-004 0.42 13 7.6e-001 1.2e+000 4.2e+001 9.55e-001 -1.035324635e+003 5.680541681e+002 3.4e-004 0.45 14 3.7e-001 6.3e-001 2.1e+001 9.87e-001 -4.162642822e+002 3.800926986e+002 1.7e-004 0.47 15 1.8e-001 3.2e-001 1.0e+001 9.99e-001 -1.294864222e+002 2.588188577e+002 8.4e-005 0.50 16 9.4e-002 1.9e-001 5.3e+000 1.01e+000 4.788862201e+000 2.076420125e+002 4.4e-005 0.52 17 8.9e-002 1.8e-001 5.0e+000 1.01e+000 1.861104164e+001 2.087977381e+002 4.1e-005 0.55 18 6.0e-002 1.2e-001 3.4e+000 1.01e+000 6.712267964e+001 1.947618897e+002 2.8e-005 0.58 19 2.9e-002 8.0e-002 1.6e+000 1.01e+000 1.196182431e+002 1.804712961e+002 1.3e-005 0.59 20 8.0e-003 1.9e-001 4.6e-001 1.01e+000 1.540891527e+002 1.713841534e+002 3.8e-006 0.63 21 2.7e-003 1.9e-001 1.6e-001 1.00e+000 1.622162864e+002 1.680897610e+002 1.3e-006 0.64 22 1.5e-003 1.2e-001 8.6e-002 1.00e+000 1.642252001e+002 1.674622340e+002 7.2e-007 0.67 23 4.8e-004 1.1e-001 2.9e-002 1.01e+000 1.658020982e+002 1.668934038e+002 2.5e-007 0.69 24 1.9e-004 9.7e-002 1.2e-002 1.01e+000 1.662699388e+002 1.667085685e+002 1.0e-007 0.72 25 1.7e-004 8.9e-002 1.1e-002 1.01e+000 1.663039993e+002 1.666987293e+002 9.1e-008 0.73 26 1.6e-004 8.0e-002 9.5e-003 1.01e+000 1.663318331e+002 1.666869494e+002 8.2e-008 0.77 27 1.4e-004 7.3e-002 8.6e-003 1.01e+000 1.663569961e+002 1.666764940e+002 7.4e-008 0.80 28 1.3e-004 6.7e-002 7.7e-003 1.01e+000 1.663795213e+002 1.666669804e+002 6.6e-008 0.83 29 1.1e-004 6.1e-002 7.0e-003 1.01e+000 1.663997357e+002 1.666583755e+002 6.0e-008 0.84 30 1.0e-004 5.5e-002 6.3e-003 1.01e+000 1.664178699e+002 1.666505854e+002 5.4e-008 0.88 31 9.2e-005 5.1e-002 5.6e-003 1.01e+000 1.664341403e+002 1.666435349e+002 4.8e-008 0.89 32 8.3e-005 4.6e-002 5.1e-003 1.01e+000 1.664487394e+002 1.666371542e+002 4.4e-008 0.92 33 7.4e-005 4.3e-002 4.6e-003 1.01e+000 1.664618401e+002 1.666313806e+002 3.9e-008 0.94 34 6.7e-005 3.9e-002 4.1e-003 1.01e+000 1.664735974e+002 1.666261571e+002 3.5e-008 0.97 35 6.0e-005 3.6e-002 3.7e-003 1.01e+000 1.664841501e+002 1.666214322e+002 3.2e-008 0.98 36 5.4e-005 3.3e-002 3.3e-003 1.00e+000 1.664936225e+002 1.666171589e+002 2.9e-008 1.02 37 4.9e-005 3.1e-002 3.0e-003 1.00e+000 1.665021262e+002 1.666132949e+002 2.6e-008 1.03 38 4.4e-005 2.8e-002 2.7e-003 1.00e+000 1.665097610e+002 1.666098014e+002 2.3e-008 1.06 39 3.9e-005 2.6e-002 2.4e-003 1.00e+000 1.665166164e+002 1.666066437e+002 2.1e-008 1.08 40 3.6e-005 2.4e-002 2.2e-003 1.00e+000 1.665227725e+002 1.666037898e+002 1.9e-008 1.11 41 3.2e-005 2.3e-002 2.0e-003 1.00e+000 1.665283012e+002 1.666012110e+002 1.7e-008 1.14 42 2.9e-005 2.1e-002 1.8e-003 1.00e+000 1.665332670e+002 1.665988812e+002 1.5e-008 1.19 43 2.6e-005 2.0e-002 1.6e-003 1.00e+000 1.665377277e+002 1.665967768e+002 1.4e-008 1.22 44 2.3e-005 1.9e-002 1.4e-003 1.00e+000 1.665417351e+002 1.665948763e+002 1.2e-008 1.25 45 2.1e-005 1.8e-002 1.3e-003 1.00e+000 1.665453356e+002 1.665931604e+002 1.1e-008 1.30 46 1.9e-005 1.7e-002 1.2e-003 1.00e+000 1.665485709e+002 1.665916115e+002 1.0e-008 1.33 47 1.7e-005 1.6e-002 1.0e-003 1.00e+000 1.665514785e+002 1.665902137e+002 9.0e-009 1.38 48 1.5e-005 1.5e-002 9.4e-004 1.00e+000 1.665540919e+002 1.665889525e+002 8.1e-009 1.41 49 1.4e-005 1.4e-002 8.5e-004 1.00e+000 1.665564410e+002 1.665878148e+002 7.3e-009 1.44 50 1.2e-005 1.4e-002 7.6e-004 1.00e+000 1.665585530e+002 1.665867888e+002 6.6e-009 1.49 51 1.1e-005 1.3e-002 6.9e-004 1.00e+000 1.665604519e+002 1.665858636e+002 5.9e-009 1.52 52 1.0e-005 1.3e-002 6.2e-004 1.00e+000 1.665621594e+002 1.665850296e+002 5.3e-009 1.55 53 9.0e-006 1.2e-002 5.6e-004 1.00e+000 1.665636949e+002 1.665842779e+002 4.8e-009 1.58 54 8.1e-006 1.2e-002 5.0e-004 1.00e+000 1.665650759e+002 1.665836004e+002 4.3e-009 1.61 55 7.3e-006 1.1e-002 4.5e-004 1.00e+000 1.665663180e+002 1.665829900e+002 3.9e-009 1.63 56 6.6e-006 1.1e-002 4.1e-004 1.00e+000 1.665674352e+002 1.665824399e+002 3.5e-009 1.66 57 5.9e-006 1.1e-002 3.6e-004 1.00e+000 1.665684401e+002 1.665819443e+002 3.1e-009 1.69 58 5.3e-006 1.1e-002 3.3e-004 1.00e+000 1.665693440e+002 1.665814978e+002 2.8e-009 1.72 59 4.8e-006 1.0e-002 3.0e-004 1.00e+000 1.665701571e+002 1.665810955e+002 2.5e-009 1.75 60 4.3e-006 1.0e-002 2.7e-004 1.00e+000 1.665708884e+002 1.665807330e+002 2.3e-009 1.80 61 3.9e-006 9.9e-003 2.4e-004 1.00e+000 1.665715463e+002 1.665804064e+002 2.1e-009 1.83 62 3.5e-006 9.8e-003 2.2e-004 1.00e+000 1.665721379e+002 1.665801121e+002 1.9e-009 1.86 63 3.1e-006 9.6e-003 1.9e-004 1.00e+000 1.665726701e+002 1.665798468e+002 1.7e-009 1.89 64 2.8e-006 9.5e-003 1.7e-004 1.00e+000 1.665731487e+002 1.665796078e+002 1.5e-009 1.92 65 2.6e-006 9.3e-003 1.6e-004 1.00e+000 1.665735791e+002 1.665793924e+002 1.4e-009 1.95 66 2.3e-006 9.2e-003 1.4e-004 1.00e+000 1.665739664e+002 1.665791983e+002 1.2e-009 1.99 67 2.1e-006 9.1e-003 1.3e-004 1.00e+000 1.665743147e+002 1.665790235e+002 1.1e-009 2.02 68 1.9e-006 9.0e-003 1.1e-004 1.00e+000 1.665746281e+002 1.665788660e+002 9.9e-010 2.05 69 1.7e-006 8.9e-003 1.0e-004 1.00e+000 1.665749099e+002 1.665787241e+002 8.9e-010 2.08 70 1.5e-006 8.9e-003 9.3e-005 1.00e+000 1.665751635e+002 1.665785963e+002 8.0e-010 2.11 71 1.4e-006 8.8e-003 8.3e-005 1.00e+000 1.665753916e+002 1.665784811e+002 7.2e-010 2.14 72 1.2e-006 8.7e-003 7.5e-005 1.00e+000 1.665755968e+002 1.665783773e+002 6.5e-010 2.16 73 1.1e-006 8.7e-003 6.8e-005 1.00e+000 1.665757813e+002 1.665782839e+002 5.8e-010 2.19 74 9.9e-007 8.6e-003 6.1e-005 1.00e+000 1.665759474e+002 1.665781996e+002 5.2e-010 2.22 75 8.9e-007 8.6e-003 5.5e-005 1.00e+000 1.665760967e+002 1.665781237e+002 4.7e-010 2.25 76 8.0e-007 8.5e-003 4.9e-005 1.00e+000 1.665762310e+002 1.665780553e+002 4.2e-010 2.28 77 7.2e-007 8.5e-003 4.4e-005 1.00e+000 1.665763518e+002 1.665779937e+002 3.8e-010 2.30 78 6.5e-007 8.4e-003 4.0e-005 1.00e+000 1.665764604e+002 1.665779381e+002 3.4e-010 2.33 79 5.8e-007 8.4e-003 3.6e-005 1.00e+000 1.665765581e+002 1.665778881e+002 3.1e-010 2.36 80 5.3e-007 8.4e-003 3.2e-005 1.00e+000 1.665766460e+002 1.665778429e+002 2.8e-010 2.39 81 4.7e-007 8.3e-003 2.9e-005 1.00e+000 1.665767250e+002 1.665778022e+002 2.5e-010 2.42 82 4.3e-007 8.3e-003 2.6e-005 1.00e+000 1.665767960e+002 1.665777655e+002 2.3e-010 2.45 83 3.8e-007 8.3e-003 2.4e-005 1.00e+000 1.665768599e+002 1.665777325e+002 2.0e-010 2.48 84 3.4e-007 8.2e-003 2.1e-005 1.00e+000 1.665769173e+002 1.665777027e+002 1.8e-010 2.53 85 3.1e-007 8.2e-003 1.9e-005 1.00e+000 1.665769690e+002 1.665776758e+002 1.6e-010 2.55 86 2.8e-007 8.2e-003 1.7e-005 1.00e+000 1.665770155e+002 1.665776516e+002 1.5e-010 2.58 87 2.5e-007 8.2e-003 1.5e-005 1.00e+000 1.665770573e+002 1.665776298e+002 1.3e-010 2.61 88 2.3e-007 8.1e-003 1.4e-005 1.00e+000 1.665770949e+002 1.665776102e+002 1.2e-010 2.64 89 2.0e-007 8.1e-003 1.3e-005 1.00e+000 1.665771287e+002 1.665775925e+002 1.1e-010 2.67 90 1.8e-007 8.1e-003 1.1e-005 1.00e+000 1.665771591e+002 1.665775765e+002 9.7e-011 2.70 91 1.6e-007 8.1e-003 1.0e-005 1.00e+000 1.665771865e+002 1.665775622e+002 8.7e-011 2.73 92 1.5e-007 8.0e-003 9.1e-006 1.00e+000 1.665772111e+002 1.665775492e+002 7.9e-011 2.77 93 1.3e-007 8.0e-003 8.2e-006 1.00e+000 1.665772333e+002 1.665775376e+002 7.1e-011 2.81 94 1.2e-007 8.0e-003 7.4e-006 1.00e+000 1.665772533e+002 1.665775271e+002 6.4e-011 2.84 95 1.1e-007 8.0e-003 6.7e-006 1.00e+000 1.665772712e+002 1.665775177e+002 5.7e-011 2.88 96 9.7e-008 8.0e-003 6.0e-006 1.00e+000 1.665772874e+002 1.665775092e+002 5.2e-011 2.91 97 8.8e-008 7.9e-003 5.4e-006 9.99e-001 1.665773019e+002 1.665775015e+002 4.6e-011 2.95 98 7.9e-008 7.9e-003 4.9e-006 1.00e+000 1.665773150e+002 1.665774946e+002 4.2e-011 2.98 99 7.1e-008 7.9e-003 4.4e-006 1.00e+000 1.665773267e+002 1.665774884e+002 3.8e-011 3.02 100 6.4e-008 7.9e-003 3.9e-006 1.00e+000 1.665773373e+002 1.665774829e+002 3.4e-011 3.05 101 5.7e-008 7.9e-003 3.5e-006 1.00e+000 1.665773469e+002 1.665774779e+002 3.0e-011 3.08 102 5.2e-008 7.9e-003 3.2e-006 1.00e+000 1.665773555e+002 1.665774733e+002 2.7e-011 3.11 103 4.7e-008 7.8e-003 2.9e-006 1.00e+000 1.665773632e+002 1.665774693e+002 2.5e-011 3.14 104 4.2e-008 7.8e-003 2.6e-006 1.00e+000 1.665773701e+002 1.665774656e+002 2.2e-011 3.17 105 3.8e-008 7.8e-003 2.3e-006 1.00e+000 1.665773764e+002 1.665774623e+002 2.0e-011 3.19 106 3.4e-008 7.8e-003 2.1e-006 1.00e+000 1.665773820e+002 1.665774593e+002 1.8e-011 3.22 107 3.1e-008 7.8e-003 1.9e-006 1.00e+000 1.665773871e+002 1.665774567e+002 1.6e-011 3.27 108 2.7e-008 7.8e-003 1.7e-006 1.00e+000 1.665773916e+002 1.665774543e+002 1.5e-011 3.28 109 2.5e-008 7.8e-003 1.5e-006 1.00e+000 1.665773957e+002 1.665774521e+002 1.3e-011 3.31 110 2.2e-008 7.7e-003 1.4e-006 1.00e+000 1.665773994e+002 1.665774502e+002 1.2e-011 3.33 111 2.0e-008 7.7e-003 1.2e-006 1.00e+000 1.665774028e+002 1.665774484e+002 1.1e-011 3.36 112 1.8e-008 7.7e-003 1.1e-006 1.00e+000 1.665774057e+002 1.665774468e+002 9.6e-012 3.38 113 1.6e-008 7.7e-003 1.0e-006 1.00e+000 1.665774084e+002 1.665774454e+002 8.6e-012 3.42 114 1.5e-008 7.7e-003 9.0e-007 9.97e-001 1.665774109e+002 1.665774442e+002 7.8e-012 3.44 115 1.3e-008 7.7e-003 8.1e-007 9.99e-001 1.665774130e+002 1.665774430e+002 7.0e-012 3.47 116 1.2e-008 6.9e-003 7.3e-007 1.00e+000 1.665774150e+002 1.665774420e+002 6.3e-012 3.48 117 1.1e-008 6.2e-003 6.6e-007 1.00e+000 1.665774168e+002 1.665774410e+002 5.7e-012 3.53 118 9.6e-009 5.6e-003 5.9e-007 1.00e+000 1.665774184e+002 1.665774402e+002 5.1e-012 3.56 119 8.6e-009 5.0e-003 5.3e-007 9.99e-001 1.665774198e+002 1.665774395e+002 4.6e-012 3.59 120 7.8e-009 4.5e-003 4.8e-007 9.93e-001 1.665774211e+002 1.665774388e+002 4.1e-012 3.64 121 7.0e-009 4.1e-003 4.3e-007 1.01e+000 1.665774223e+002 1.665774382e+002 3.7e-012 3.67 122 1.0e-008 3.7e-003 3.9e-007 3.45e-001 1.665774231e+002 1.665774384e+002 3.4e-012 3.70 123 9.1e-009 3.3e-003 3.5e-007 1.00e+000 1.665774241e+002 1.665774378e+002 3.0e-012 3.73 124 8.2e-009 3.0e-003 3.1e-007 9.88e-001 1.665774249e+002 1.665774373e+002 2.7e-012 3.77 125 7.3e-009 2.7e-003 2.8e-007 1.00e+000 1.665774257e+002 1.665774369e+002 2.5e-012 3.80 126 6.6e-009 2.4e-003 2.5e-007 1.01e+000 1.665774264e+002 1.665774364e+002 2.2e-012 3.83 127 5.9e-009 2.2e-003 2.3e-007 1.01e+000 1.665774271e+002 1.665774360e+002 2.0e-012 3.88 128 5.4e-009 1.9e-003 2.1e-007 9.75e-001 1.665774276e+002 1.665774357e+002 1.8e-012 3.91 129 4.9e-009 1.8e-003 1.9e-007 9.78e-001 1.665774281e+002 1.665774354e+002 1.6e-012 3.94 130 4.4e-009 1.6e-003 1.7e-007 1.04e+000 1.665774287e+002 1.665774351e+002 1.5e-012 3.98 131 6.0e-010 1.6e-004 1.7e-008 1.00e+000 1.665774322e+002 1.665774329e+002 1.6e-013 4.02 Interior-point optimizer terminated. Time: 4.02. Optimizer terminated. Time: 4.03 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6657743223e+002 nrm: 2e+001 Viol. con: 1e-008 var: 0e+000 Dual. obj: 1.6657743290e+002 nrm: 9e+002 Viol. con: 0e+000 var: 1e-003 * End solution on dual form. * Transforming to primal solution. Solving took 4.06 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 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 : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 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 : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.240927080e+005 2.000000000e+000 1.0e+000 0.09 1 1.7e+003 2.7e+003 9.1e+004 -9.71e-001 -1.233784155e+005 2.590599910e+000 7.3e-001 0.14 2 8.7e+002 1.4e+003 4.7e+004 -9.60e-001 -1.210108395e+005 4.597153457e+000 3.8e-001 0.17 3 2.9e+002 4.6e+002 1.6e+004 -9.21e-001 -1.120310126e+005 1.992406377e+001 1.3e-001 0.20 4 2.9e+002 4.6e+002 1.6e+004 -7.72e-001 -1.097283633e+005 2.038624399e+003 1.3e-001 0.23 5 1.2e+002 1.9e+002 6.5e+003 -7.63e-001 -8.841015684e+004 6.344472169e+003 5.3e-002 0.28 6 3.4e+001 5.4e+001 1.8e+003 -4.51e-001 -4.212602357e+004 1.196854791e+004 1.5e-002 0.31 7 2.1e+001 3.3e+001 1.1e+003 3.32e-001 -2.932195040e+004 7.592695438e+003 9.3e-003 0.36 8 1.0e+001 1.6e+001 5.6e+002 5.78e-001 -1.566110676e+004 4.182404951e+003 4.6e-003 0.41 9 3.8e+000 6.0e+000 2.1e+002 8.10e-001 -5.810038779e+003 1.923257671e+003 1.7e-003 0.45 10 2.1e+000 3.3e+000 1.1e+002 9.52e-001 -3.068265311e+003 1.238847010e+003 9.3e-004 0.50 11 8.9e-001 1.4e+000 4.9e+001 9.86e-001 -1.220182954e+003 6.552055064e+002 4.1e-004 0.55 12 8.4e-001 1.3e+000 4.6e+001 9.69e-001 -1.161296316e+003 6.180434409e+002 3.8e-004 0.58 13 5.3e-001 8.4e-001 2.9e+001 9.74e-001 -6.930100109e+002 4.417255495e+002 2.4e-004 0.63 14 3.4e-001 5.5e-001 1.9e+001 1.00e+000 -3.734857855e+002 3.603586280e+002 1.6e-004 0.66 15 1.3e-001 2.2e-001 7.1e+000 9.97e-001 -4.899625209e+001 2.251388874e+002 6.0e-005 0.70 16 7.9e-002 1.4e-001 4.5e+000 1.01e+000 3.149304973e+001 2.012644472e+002 3.7e-005 0.73 17 7.3e-002 1.3e-001 4.1e+000 1.02e+000 4.211921259e+001 1.987265242e+002 3.4e-005 0.78 18 3.2e-002 8.4e-002 1.8e+000 1.02e+000 1.130337548e+002 1.818318989e+002 1.5e-005 0.81 19 9.4e-003 1.8e-001 5.4e-001 1.01e+000 1.517363828e+002 1.719874165e+002 4.5e-006 0.84 20 2.7e-003 1.9e-001 1.6e-001 1.01e+000 1.620923483e+002 1.680059374e+002 1.3e-006 0.89 21 1.5e-003 1.2e-001 9.1e-002 1.00e+000 1.640237334e+002 1.674344276e+002 7.7e-007 0.92 22 4.9e-004 1.1e-001 3.0e-002 1.01e+000 1.657219055e+002 1.668370664e+002 2.6e-007 0.97 23 1.7e-004 1.1e-001 1.1e-002 1.01e+000 1.662418891e+002 1.666337621e+002 9.2e-008 1.00 24 1.5e-004 9.9e-002 9.5e-003 1.01e+000 1.662716763e+002 1.666241888e+002 8.3e-008 1.03 25 1.4e-004 9.0e-002 8.6e-003 1.01e+000 1.662964575e+002 1.666135810e+002 7.4e-008 1.08 26 1.2e-004 8.2e-002 7.7e-003 1.01e+000 1.663189125e+002 1.666042072e+002 6.7e-008 1.11 27 1.1e-004 7.4e-002 6.9e-003 1.01e+000 1.663390320e+002 1.665957018e+002 6.0e-008 1.14 28 1.0e-004 6.8e-002 6.2e-003 1.01e+000 1.663570832e+002 1.665880064e+002 5.4e-008 1.19 29 9.0e-005 6.2e-002 5.6e-003 1.01e+000 1.663732756e+002 1.665810408e+002 4.9e-008 1.22 30 8.1e-005 5.6e-002 5.1e-003 1.01e+000 1.663878018e+002 1.665747361e+002 4.4e-008 1.27 31 7.3e-005 5.1e-002 4.6e-003 1.01e+000 1.664008341e+002 1.665690302e+002 4.0e-008 1.30 32 6.5e-005 4.7e-002 4.1e-003 1.01e+000 1.664125271e+002 1.665638670e+002 3.6e-008 1.34 33 5.9e-005 4.3e-002 3.7e-003 1.01e+000 1.664230196e+002 1.665591955e+002 3.2e-008 1.38 34 5.3e-005 4.0e-002 3.3e-003 1.01e+000 1.664324360e+002 1.665549698e+002 2.9e-008 1.41 35 4.8e-005 3.6e-002 3.0e-003 1.01e+000 1.664408877e+002 1.665511481e+002 2.6e-008 1.45 36 4.3e-005 3.4e-002 2.7e-003 1.01e+000 1.664484743e+002 1.665476925e+002 2.3e-008 1.48 37 3.9e-005 3.1e-002 2.4e-003 1.00e+000 1.664552854e+002 1.665445686e+002 2.1e-008 1.52 38 3.5e-005 2.9e-002 2.2e-003 1.00e+000 1.664614008e+002 1.665417451e+002 1.9e-008 1.55 39 3.1e-005 2.7e-002 2.0e-003 1.00e+000 1.664668923e+002 1.665391936e+002 1.7e-008 1.58 40 2.8e-005 2.5e-002 1.8e-003 1.00e+000 1.664718241e+002 1.665368884e+002 1.5e-008 1.61 41 2.5e-005 2.3e-002 1.6e-003 1.00e+000 1.664762537e+002 1.665348061e+002 1.4e-008 1.66 42 2.3e-005 2.2e-002 1.4e-003 1.00e+000 1.664802327e+002 1.665329255e+002 1.2e-008 1.69 43 2.1e-005 2.0e-002 1.3e-003 1.00e+000 1.664838073e+002 1.665312273e+002 1.1e-008 1.72 44 1.8e-005 1.9e-002 1.2e-003 1.00e+000 1.664870189e+002 1.665296941e+002 1.0e-008 1.77 45 1.7e-005 1.8e-002 1.0e-003 1.00e+000 1.664899047e+002 1.665283102e+002 9.1e-009 1.80 46 1.5e-005 1.7e-002 9.4e-004 1.00e+000 1.664924980e+002 1.665270612e+002 8.2e-009 1.84 47 1.3e-005 1.6e-002 8.5e-004 1.00e+000 1.664948288e+002 1.665259343e+002 7.3e-009 1.88 48 1.2e-005 1.5e-002 7.6e-004 1.00e+000 1.664969237e+002 1.665249176e+002 6.6e-009 1.91 49 1.1e-005 1.5e-002 6.8e-004 1.00e+000 1.664988069e+002 1.665240006e+002 5.9e-009 1.95 50 9.8e-006 1.4e-002 6.2e-004 1.00e+000 1.665004999e+002 1.665231736e+002 5.4e-009 1.98 51 8.8e-006 1.3e-002 5.5e-004 1.00e+000 1.665020222e+002 1.665224280e+002 4.8e-009 2.02 52 8.0e-006 1.3e-002 5.0e-004 1.00e+000 1.665033910e+002 1.665217559e+002 4.3e-009 2.05 53 7.2e-006 1.2e-002 4.5e-004 1.00e+000 1.665046219e+002 1.665211501e+002 3.9e-009 2.08 54 6.4e-006 1.2e-002 4.0e-004 1.00e+000 1.665057290e+002 1.665206042e+002 3.5e-009 2.11 55 5.8e-006 1.2e-002 3.6e-004 1.00e+000 1.665067248e+002 1.665201123e+002 3.2e-009 2.14 56 5.2e-006 1.1e-002 3.3e-004 1.00e+000 1.665076205e+002 1.665196691e+002 2.8e-009 2.19 57 4.7e-006 1.1e-002 2.9e-004 1.00e+000 1.665084262e+002 1.665192699e+002 2.6e-009 2.22 58 4.2e-006 1.1e-002 2.7e-004 1.00e+000 1.665091510e+002 1.665189103e+002 2.3e-009 2.25 59 3.8e-006 1.0e-002 2.4e-004 1.00e+000 1.665098031e+002 1.665185864e+002 2.1e-009 2.28 60 3.4e-006 1.0e-002 2.1e-004 1.00e+000 1.665103896e+002 1.665182947e+002 1.9e-009 2.30 61 3.1e-006 9.9e-003 1.9e-004 1.00e+000 1.665109173e+002 1.665180318e+002 1.7e-009 2.33 62 2.8e-006 9.7e-003 1.7e-004 1.00e+000 1.665113921e+002 1.665177951e+002 1.5e-009 2.38 63 2.5e-006 9.6e-003 1.6e-004 1.00e+000 1.665118192e+002 1.665175819e+002 1.4e-009 2.41 64 2.2e-006 9.4e-003 1.4e-004 1.00e+000 1.665122035e+002 1.665173900e+002 1.2e-009 2.44 65 2.0e-006 9.3e-003 1.3e-004 1.00e+000 1.665125494e+002 1.665172172e+002 1.1e-009 2.47 66 1.8e-006 9.2e-003 1.1e-004 1.00e+000 1.665128606e+002 1.665170617e+002 9.9e-010 2.50 67 1.6e-006 9.0e-003 1.0e-004 1.00e+000 1.665131407e+002 1.665169217e+002 8.9e-010 2.53 68 1.5e-006 8.9e-003 9.3e-005 1.00e+000 1.665133927e+002 1.665167957e+002 8.0e-010 2.56 69 1.3e-006 8.8e-003 8.3e-005 1.00e+000 1.665136196e+002 1.665166822e+002 7.2e-010 2.59 70 1.2e-006 8.8e-003 7.5e-005 1.00e+000 1.665138237e+002 1.665165801e+002 6.5e-010 2.63 71 1.1e-006 8.7e-003 6.7e-005 1.00e+000 1.665140074e+002 1.665164882e+002 5.9e-010 2.66 72 9.7e-007 8.6e-003 6.1e-005 1.00e+000 1.665141727e+002 1.665164054e+002 5.3e-010 2.69 73 8.7e-007 8.5e-003 5.5e-005 1.00e+000 1.665143214e+002 1.665163309e+002 4.7e-010 2.72 74 7.8e-007 8.5e-003 4.9e-005 1.00e+000 1.665144553e+002 1.665162638e+002 4.3e-010 2.75 75 7.1e-007 8.4e-003 4.4e-005 1.00e+000 1.665145757e+002 1.665162034e+002 3.8e-010 2.80 76 6.4e-007 8.4e-003 4.0e-005 1.00e+000 1.665146841e+002 1.665161490e+002 3.5e-010 2.83 77 5.7e-007 8.3e-003 3.6e-005 1.00e+000 1.665147816e+002 1.665161000e+002 3.1e-010 2.88 78 5.1e-007 8.3e-003 3.2e-005 1.00e+000 1.665148692e+002 1.665160558e+002 2.8e-010 2.91 79 4.6e-007 8.2e-003 2.9e-005 1.00e+000 1.665149481e+002 1.665160161e+002 2.5e-010 2.95 80 4.2e-007 8.2e-003 2.6e-005 1.00e+000 1.665150191e+002 1.665159802e+002 2.3e-010 2.98 81 3.8e-007 8.2e-003 2.4e-005 1.00e+000 1.665150829e+002 1.665159480e+002 2.0e-010 3.02 82 3.4e-007 8.1e-003 2.1e-005 1.00e+000 1.665151403e+002 1.665159189e+002 1.8e-010 3.05 83 3.0e-007 8.1e-003 1.9e-005 1.00e+000 1.665151920e+002 1.665158927e+002 1.7e-010 3.06 84 2.7e-007 8.1e-003 1.7e-005 1.00e+000 1.665152384e+002 1.665158691e+002 1.5e-010 3.09 85 2.5e-007 8.0e-003 1.5e-005 1.00e+000 1.665152802e+002 1.665158478e+002 1.3e-010 3.13 86 2.2e-007 8.0e-003 1.4e-005 1.00e+000 1.665153179e+002 1.665158287e+002 1.2e-010 3.14 87 2.0e-007 8.0e-003 1.3e-005 1.00e+000 1.665153517e+002 1.665158114e+002 1.1e-010 3.17 88 1.8e-007 8.0e-003 1.1e-005 9.99e-001 1.665153821e+002 1.665157959e+002 9.8e-011 3.19 89 1.6e-007 8.0e-003 1.0e-005 1.00e+000 1.665154095e+002 1.665157819e+002 8.8e-011 3.20 90 1.5e-007 7.9e-003 9.1e-006 1.00e+000 1.665154342e+002 1.665157694e+002 7.9e-011 3.23 91 1.3e-007 7.9e-003 8.2e-006 1.00e+000 1.665154564e+002 1.665157580e+002 7.1e-011 3.25 92 1.2e-007 7.9e-003 7.4e-006 9.99e-001 1.665154763e+002 1.665157478e+002 6.4e-011 3.28 93 1.1e-007 7.9e-003 6.6e-006 9.99e-001 1.665154943e+002 1.665157386e+002 5.8e-011 3.30 94 9.5e-008 7.9e-003 6.0e-006 1.00e+000 1.665155105e+002 1.665157303e+002 5.2e-011 3.33 95 8.6e-008 7.9e-003 5.4e-006 1.00e+000 1.665155250e+002 1.665157229e+002 4.7e-011 3.34 96 1.3e-007 7.8e-003 5.3e-006 1.00e+000 1.665155231e+002 1.665157309e+002 4.6e-011 3.38 97 1.2e-007 7.0e-003 4.8e-006 1.00e+000 1.665155366e+002 1.665157225e+002 4.2e-011 3.41 98 1.0e-007 6.3e-003 4.3e-006 1.00e+000 1.665155485e+002 1.665157158e+002 3.7e-011 3.42 99 9.4e-008 5.7e-003 3.9e-006 9.98e-001 1.665155592e+002 1.665157098e+002 3.4e-011 3.45 100 8.5e-008 5.1e-003 3.5e-006 9.98e-001 1.665155689e+002 1.665157045e+002 3.0e-011 3.47 101 7.6e-008 4.6e-003 3.2e-006 1.00e+000 1.665155776e+002 1.665156996e+002 2.7e-011 3.48 102 6.5e-008 4.1e-003 2.8e-006 1.01e+000 1.665155861e+002 1.665156928e+002 2.5e-011 3.52 103 5.9e-008 3.7e-003 2.6e-006 1.00e+000 1.665155931e+002 1.665156891e+002 2.2e-011 3.53 104 5.3e-008 3.4e-003 2.3e-006 1.00e+000 1.665155994e+002 1.665156858e+002 2.0e-011 3.56 105 4.8e-008 3.0e-003 2.1e-006 1.00e+000 1.665156050e+002 1.665156828e+002 1.8e-011 3.58 106 4.3e-008 2.7e-003 1.9e-006 1.01e+000 1.665156103e+002 1.665156799e+002 1.6e-011 3.59 107 3.5e-008 2.4e-003 1.7e-006 1.01e+000 1.665156156e+002 1.665156751e+002 1.5e-011 3.63 108 3.2e-008 2.2e-003 1.5e-006 1.01e+000 1.665156197e+002 1.665156731e+002 1.3e-011 3.64 109 2.9e-008 2.0e-003 1.4e-006 1.01e+000 1.665156234e+002 1.665156713e+002 1.2e-011 3.67 110 2.6e-008 1.8e-003 1.2e-006 1.00e+000 1.665156266e+002 1.665156698e+002 1.1e-011 3.69 111 2.3e-008 1.6e-003 1.1e-006 1.00e+000 1.665156296e+002 1.665156684e+002 9.5e-012 3.72 112 2.1e-008 1.4e-003 9.9e-007 1.02e+000 1.665156325e+002 1.665156669e+002 8.7e-012 3.73 113 1.8e-008 1.3e-003 8.9e-007 1.00e+000 1.665156348e+002 1.665156658e+002 7.8e-012 3.77 114 1.7e-008 1.2e-003 8.0e-007 1.01e+000 1.665156370e+002 1.665156648e+002 7.0e-012 3.78 115 1.5e-008 1.1e-003 7.2e-007 9.98e-001 1.665156389e+002 1.665156639e+002 6.3e-012 3.81 116 1.3e-008 9.5e-004 6.5e-007 9.61e-001 1.665156406e+002 1.665156630e+002 5.7e-012 3.83 117 1.3e-008 8.5e-004 5.8e-007 1.00e+000 1.665156422e+002 1.665156623e+002 5.1e-012 3.86 118 1.2e-008 7.7e-004 5.2e-007 9.96e-001 1.665156436e+002 1.665156617e+002 4.6e-012 3.88 119 1.3e-008 6.9e-004 4.7e-007 1.02e+000 1.665156449e+002 1.665156611e+002 4.2e-012 3.89 120 1.0e-008 6.2e-004 4.2e-007 9.95e-001 1.665156460e+002 1.665156605e+002 3.8e-012 3.92 121 3.0e-008 5.6e-004 3.8e-007 1.01e+000 1.665156470e+002 1.665156599e+002 3.4e-012 3.94 122 1.4e-007 5.6e-004 3.8e-007 8.45e-001 1.665156476e+002 1.665156587e+002 3.3e-012 3.97 123 1.2e-007 5.0e-004 2.8e-007 1.00e+000 1.665156503e+002 1.665156584e+002 3.0e-012 3.98 124 1.1e-007 4.5e-004 2.5e-007 9.86e-001 1.665156508e+002 1.665156582e+002 2.7e-012 4.02 125 9.8e-008 4.1e-004 2.3e-007 1.00e+000 1.665156512e+002 1.665156579e+002 2.4e-012 4.05 126 8.9e-008 3.7e-004 2.1e-007 9.98e-001 1.665156517e+002 1.665156577e+002 2.2e-012 4.06 127 7.9e-008 3.3e-004 1.8e-007 1.00e+000 1.665156521e+002 1.665156575e+002 1.9e-012 4.09 128 7.1e-008 3.0e-004 1.6e-007 1.00e+000 1.665156525e+002 1.665156573e+002 1.8e-012 4.13 129 6.4e-008 2.7e-004 1.5e-007 1.02e+000 1.665156529e+002 1.665156572e+002 1.6e-012 4.14 130 5.9e-008 2.4e-004 1.2e-007 1.00e+000 1.665156534e+002 1.665156571e+002 1.4e-012 4.17 131 5.3e-008 2.2e-004 1.1e-007 1.00e+000 1.665156536e+002 1.665156569e+002 1.3e-012 4.19 132 4.6e-008 1.9e-004 1.0e-007 9.91e-001 1.665156539e+002 1.665156568e+002 1.2e-012 4.22 133 4.1e-008 1.7e-004 8.8e-008 1.00e+000 1.665156541e+002 1.665156567e+002 1.0e-012 4.23 134 3.7e-008 1.6e-004 8.1e-008 1.00e+000 1.665156543e+002 1.665156566e+002 9.4e-013 4.25 Interior-point optimizer terminated. Time: 4.27. Optimizer terminated. Time: 4.38 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6651565426e+002 nrm: 2e+001 Viol. con: 6e-007 var: 0e+000 Dual. obj: 1.6651565664e+002 nrm: 1e+003 Viol. con: 0e+000 var: 9e-004 * End solution on dual form. * Transforming to primal solution. Solving took 4.4 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.01 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 : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.50e+004 after factor : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.240895022e+005 2.000000000e+000 1.0e+000 0.09 1 1.7e+003 2.7e+003 9.1e+004 -9.71e-001 -1.233757992e+005 2.589416567e+000 7.4e-001 0.13 2 8.7e+002 1.4e+003 4.7e+004 -9.60e-001 -1.210098444e+005 4.592414544e+000 3.8e-001 0.16 3 2.9e+002 4.6e+002 1.6e+004 -9.21e-001 -1.119954217e+005 1.994840873e+001 1.3e-001 0.17 4 2.9e+002 4.6e+002 1.6e+004 -7.72e-001 -1.097049975e+005 2.031064200e+003 1.3e-001 0.20 5 1.2e+002 1.9e+002 6.5e+003 -7.62e-001 -8.837615636e+004 6.325536986e+003 5.3e-002 0.22 6 2.8e+001 4.5e+001 1.5e+003 -4.51e-001 -3.576725029e+004 1.270376327e+004 1.3e-002 0.25 7 1.9e+001 3.0e+001 1.0e+003 4.50e-001 -2.625495124e+004 7.668045194e+003 8.3e-003 0.28 8 9.9e+000 1.6e+001 5.4e+002 6.33e-001 -1.509053501e+004 4.328290819e+003 4.4e-003 0.30 9 3.8e+000 6.1e+000 2.1e+002 8.19e-001 -5.923522878e+003 1.943067108e+003 1.7e-003 0.33 10 2.1e+000 3.3e+000 1.1e+002 9.51e-001 -3.052683112e+003 1.219964191e+003 9.3e-004 0.36 11 8.5e-001 1.3e+000 4.7e+001 9.87e-001 -1.147890953e+003 6.328658025e+002 3.9e-004 0.38 12 8.2e-001 1.3e+000 4.5e+001 9.57e-001 -1.131040090e+003 6.091232165e+002 3.7e-004 0.41 13 5.2e-001 8.3e-001 2.9e+001 9.70e-001 -6.785519980e+002 4.372031789e+002 2.4e-004 0.42 14 3.4e-001 5.5e-001 1.9e+001 1.00e+000 -3.678620665e+002 3.583663789e+002 1.6e-004 0.45 15 1.1e-001 2.0e-001 6.4e+000 9.98e-001 -2.787386171e+001 2.169678825e+002 5.3e-005 0.47 16 8.5e-002 1.6e-001 4.8e+000 1.02e+000 2.181363289e+001 2.059832545e+002 4.0e-005 0.50 17 6.6e-002 1.2e-001 3.7e+000 1.02e+000 5.679476958e+001 1.984452124e+002 3.1e-005 0.52 18 2.3e-002 7.9e-002 1.3e+000 1.02e+000 1.283079614e+002 1.782199266e+002 1.1e-005 0.53 19 7.3e-003 1.8e-001 4.2e-001 1.02e+000 1.550265346e+002 1.708649761e+002 3.5e-006 0.56 20 3.2e-003 2.0e-001 1.9e-001 1.01e+000 1.612048199e+002 1.681752353e+002 1.6e-006 0.58 21 1.8e-003 1.3e-001 1.1e-001 1.01e+000 1.635043276e+002 1.674995444e+002 9.0e-007 0.61 22 5.4e-004 1.3e-001 3.3e-002 1.00e+000 1.656071436e+002 1.668296821e+002 2.8e-007 0.63 23 3.5e-004 1.1e-001 2.2e-002 9.97e-001 1.659104473e+002 1.667061747e+002 1.8e-007 0.66 24 2.1e-004 7.7e-002 1.3e-002 9.85e-001 1.661446568e+002 1.666122541e+002 1.1e-007 0.67 25 1.8e-004 6.7e-002 1.1e-002 1.00e+000 1.661895115e+002 1.665984987e+002 9.4e-008 0.69 26 1.6e-004 6.1e-002 9.9e-003 1.01e+000 1.662194456e+002 1.665873120e+002 8.5e-008 0.72 27 1.5e-004 5.5e-002 8.9e-003 1.01e+000 1.662450441e+002 1.665760048e+002 7.7e-008 0.73 28 1.3e-004 5.1e-002 8.0e-003 1.01e+000 1.662682360e+002 1.665660325e+002 6.9e-008 0.77 29 1.2e-004 4.6e-002 7.2e-003 1.01e+000 1.662890089e+002 1.665569705e+002 6.2e-008 0.78 30 1.1e-004 4.3e-002 6.5e-003 1.01e+000 1.663076526e+002 1.665487733e+002 5.6e-008 0.81 31 9.5e-005 3.9e-002 5.9e-003 1.01e+000 1.663243805e+002 1.665413530e+002 5.0e-008 0.83 32 8.6e-005 3.6e-002 5.3e-003 1.01e+000 1.663393912e+002 1.665346371e+002 4.5e-008 0.84 33 7.7e-005 3.3e-002 4.8e-003 1.00e+000 1.663528613e+002 1.665285590e+002 4.1e-008 0.88 34 7.0e-005 3.1e-002 4.3e-003 1.00e+000 1.663649496e+002 1.665230584e+002 3.7e-008 0.89 35 6.3e-005 2.8e-002 3.9e-003 1.00e+000 1.663757987e+002 1.665180812e+002 3.3e-008 0.91 36 5.6e-005 2.6e-002 3.5e-003 1.00e+000 1.663855363e+002 1.665135782e+002 3.0e-008 0.94 37 5.1e-005 2.4e-002 3.1e-003 1.00e+000 1.663942772e+002 1.665095050e+002 2.7e-008 0.95 38 4.6e-005 2.3e-002 2.8e-003 1.00e+000 1.664021241e+002 1.665058211e+002 2.4e-008 0.98 39 4.1e-005 2.1e-002 2.5e-003 1.00e+000 1.664091692e+002 1.665024902e+002 2.2e-008 1.00 40 3.7e-005 2.0e-002 2.3e-003 1.00e+000 1.664154950e+002 1.664994788e+002 2.0e-008 1.02 41 3.3e-005 1.9e-002 2.0e-003 1.00e+000 1.664211754e+002 1.664967568e+002 1.8e-008 1.05 42 3.0e-005 1.8e-002 1.8e-003 1.00e+000 1.664262769e+002 1.664942969e+002 1.6e-008 1.06 43 2.7e-005 1.7e-002 1.7e-003 1.00e+000 1.664308587e+002 1.664920743e+002 1.4e-008 1.09 44 2.4e-005 1.6e-002 1.5e-003 1.00e+000 1.664349742e+002 1.664900662e+002 1.3e-008 1.11 45 2.2e-005 1.5e-002 1.3e-003 1.00e+000 1.664386712e+002 1.664882525e+002 1.2e-008 1.14 46 2.0e-005 1.4e-002 1.2e-003 1.00e+000 1.664419925e+002 1.664866144e+002 1.0e-008 1.16 47 1.8e-005 1.4e-002 1.1e-003 1.00e+000 1.664449765e+002 1.664851353e+002 9.4e-009 1.17 48 1.6e-005 1.3e-002 9.8e-004 1.00e+000 1.664476576e+002 1.664837999e+002 8.4e-009 1.20 49 1.4e-005 1.3e-002 8.8e-004 1.00e+000 1.664500670e+002 1.664825945e+002 7.6e-009 1.22 50 1.3e-005 1.2e-002 7.9e-004 1.00e+000 1.664522322e+002 1.664815066e+002 6.8e-009 1.23 51 1.2e-005 1.2e-002 7.1e-004 1.00e+000 1.664541782e+002 1.664805249e+002 6.1e-009 1.27 52 1.0e-005 1.2e-002 6.4e-004 1.00e+000 1.664559273e+002 1.664796391e+002 5.5e-009 1.28 53 9.4e-006 1.1e-002 5.8e-004 1.00e+000 1.664574996e+002 1.664788402e+002 5.0e-009 1.30 54 8.4e-006 1.1e-002 5.2e-004 1.00e+000 1.664589131e+002 1.664781195e+002 4.5e-009 1.33 55 7.6e-006 1.1e-002 4.7e-004 1.00e+000 1.664601839e+002 1.664774696e+002 4.0e-009 1.34 56 6.8e-006 1.0e-002 4.2e-004 1.00e+000 1.664613265e+002 1.664768837e+002 3.6e-009 1.36 57 6.2e-006 1.0e-002 3.8e-004 1.00e+000 1.664623539e+002 1.664763554e+002 3.3e-009 1.39 58 5.5e-006 1.0e-002 3.4e-004 1.00e+000 1.664632777e+002 1.664758791e+002 2.9e-009 1.41 59 5.0e-006 9.8e-003 3.1e-004 1.00e+000 1.664641085e+002 1.664754498e+002 2.6e-009 1.42 60 4.5e-006 9.7e-003 2.8e-004 1.00e+000 1.664648556e+002 1.664750628e+002 2.4e-009 1.45 61 4.0e-006 9.5e-003 2.5e-004 1.00e+000 1.664655274e+002 1.664747139e+002 2.1e-009 1.47 62 3.6e-006 9.4e-003 2.2e-004 1.00e+000 1.664661316e+002 1.664743995e+002 1.9e-009 1.50 63 3.3e-006 9.3e-003 2.0e-004 1.00e+000 1.664666749e+002 1.664741161e+002 1.7e-009 1.52 64 2.9e-006 9.1e-003 1.8e-004 1.00e+000 1.664671635e+002 1.664738606e+002 1.6e-009 1.55 65 2.7e-006 9.0e-003 1.6e-004 1.00e+000 1.664676029e+002 1.664736304e+002 1.4e-009 1.56 66 2.4e-006 9.0e-003 1.5e-004 1.00e+000 1.664679982e+002 1.664734230e+002 1.3e-009 1.58 67 2.1e-006 8.9e-003 1.3e-004 1.00e+000 1.664683538e+002 1.664732361e+002 1.1e-009 1.61 68 1.9e-006 8.8e-003 1.2e-004 1.00e+000 1.664686737e+002 1.664730678e+002 1.0e-009 1.63 69 1.7e-006 8.7e-003 1.1e-004 1.00e+000 1.664689615e+002 1.664729163e+002 9.2e-010 1.66 70 1.6e-006 8.6e-003 9.7e-005 1.00e+000 1.664692204e+002 1.664727797e+002 8.3e-010 1.67 71 1.4e-006 8.6e-003 8.7e-005 1.00e+000 1.664694534e+002 1.664726568e+002 7.5e-010 1.70 72 1.3e-006 8.5e-003 7.8e-005 1.00e+000 1.664696630e+002 1.664725461e+002 6.7e-010 1.72 73 1.1e-006 8.5e-003 7.0e-005 1.00e+000 1.664698516e+002 1.664724464e+002 6.1e-010 1.73 74 1.0e-006 8.4e-003 6.3e-005 1.00e+000 1.664700213e+002 1.664723566e+002 5.4e-010 1.77 75 9.2e-007 8.4e-003 5.7e-005 1.00e+000 1.664701740e+002 1.664722758e+002 4.9e-010 1.78 76 8.3e-007 8.3e-003 5.1e-005 1.00e+000 1.664703113e+002 1.664722030e+002 4.4e-010 1.81 77 7.5e-007 8.3e-003 4.6e-005 1.00e+000 1.664704349e+002 1.664721374e+002 4.0e-010 1.83 78 6.7e-007 8.2e-003 4.2e-005 1.00e+000 1.664705461e+002 1.664720784e+002 3.6e-010 1.84 79 6.1e-007 8.2e-003 3.7e-005 1.00e+000 1.664706461e+002 1.664720252e+002 3.2e-010 1.88 80 5.5e-007 8.2e-003 3.4e-005 1.00e+000 1.664707361e+002 1.664719773e+002 2.9e-010 1.89 81 4.9e-007 8.1e-003 3.0e-005 1.00e+000 1.664708171e+002 1.664719341e+002 2.6e-010 1.92 82 4.4e-007 8.1e-003 2.7e-005 1.00e+000 1.664708899e+002 1.664718953e+002 2.3e-010 1.94 83 4.0e-007 8.1e-003 2.5e-005 1.00e+000 1.664709554e+002 1.664718603e+002 2.1e-010 1.95 84 3.6e-007 8.1e-003 2.2e-005 1.00e+000 1.664710144e+002 1.664718287e+002 1.9e-010 1.98 85 3.2e-007 8.0e-003 2.0e-005 1.00e+000 1.664710674e+002 1.664718003e+002 1.7e-010 2.00 86 2.9e-007 8.0e-003 1.8e-005 1.00e+000 1.664711151e+002 1.664717747e+002 1.5e-010 2.03 87 2.6e-007 8.0e-003 1.6e-005 1.00e+000 1.664711580e+002 1.664717517e+002 1.4e-010 2.05 88 2.3e-007 8.0e-003 1.5e-005 1.00e+000 1.664711966e+002 1.664717309e+002 1.2e-010 2.06 89 2.1e-007 8.0e-003 1.3e-005 1.00e+000 1.664712313e+002 1.664717123e+002 1.1e-010 2.09 90 1.9e-007 7.9e-003 1.2e-005 1.00e+000 1.664712626e+002 1.664716955e+002 1.0e-010 2.11 91 1.7e-007 7.9e-003 1.1e-005 1.00e+000 1.664712907e+002 1.664716803e+002 9.1e-011 2.13 92 1.5e-007 7.9e-003 9.5e-006 1.00e+000 1.664713160e+002 1.664716668e+002 8.2e-011 2.16 93 1.4e-007 7.9e-003 8.6e-006 1.00e+000 1.664713388e+002 1.664716545e+002 7.4e-011 2.17 94 1.2e-007 7.9e-003 7.7e-006 1.00e+000 1.664713593e+002 1.664716435e+002 6.6e-011 2.19 95 1.1e-007 7.8e-003 6.9e-006 1.00e+000 1.664713778e+002 1.664716335e+002 6.0e-011 2.22 96 1.0e-007 7.8e-003 6.2e-006 1.00e+000 1.664713944e+002 1.664716246e+002 5.4e-011 2.23 97 9.1e-008 7.8e-003 5.6e-006 1.00e+000 1.664714093e+002 1.664716165e+002 4.8e-011 2.27 98 8.2e-008 7.8e-003 5.1e-006 1.00e+000 1.664714228e+002 1.664716093e+002 4.3e-011 2.28 99 7.4e-008 7.8e-003 4.6e-006 1.00e+000 1.664714349e+002 1.664716027e+002 3.9e-011 2.30 100 6.7e-008 7.0e-003 4.1e-006 1.00e+000 1.664714458e+002 1.664715968e+002 3.5e-011 2.33 101 6.0e-008 6.3e-003 3.7e-006 1.00e+000 1.664714556e+002 1.664715915e+002 3.2e-011 2.34 102 5.4e-008 5.7e-003 3.3e-006 9.94e-001 1.664714645e+002 1.664715867e+002 2.9e-011 2.39 103 7.9e-008 5.7e-003 3.0e-006 9.87e-001 1.664714701e+002 1.664715913e+002 2.6e-011 2.41 104 7.4e-008 5.1e-003 2.7e-006 1.00e+000 1.664714775e+002 1.664715865e+002 2.3e-011 2.44 105 6.8e-008 4.6e-003 2.4e-006 1.00e+000 1.664714842e+002 1.664715819e+002 2.1e-011 2.45 106 6.1e-008 4.1e-003 2.2e-006 1.03e+000 1.664714908e+002 1.664715776e+002 1.9e-011 2.48 107 5.4e-008 3.7e-003 2.0e-006 9.96e-001 1.664714962e+002 1.664715740e+002 1.7e-011 2.50 108 5.0e-008 3.3e-003 1.8e-006 1.00e+000 1.664715009e+002 1.664715713e+002 1.5e-011 2.53 109 4.6e-008 3.0e-003 1.6e-006 9.80e-001 1.664715052e+002 1.664715686e+002 1.4e-011 2.55 110 4.0e-008 2.7e-003 1.4e-006 1.03e+000 1.664715095e+002 1.664715659e+002 1.3e-011 2.58 111 3.6e-008 2.4e-003 1.3e-006 1.00e+000 1.664715129e+002 1.664715635e+002 1.1e-011 2.59 112 3.2e-008 2.2e-003 1.2e-006 9.90e-001 1.664715160e+002 1.664715615e+002 1.0e-011 2.63 113 3.0e-008 2.0e-003 1.0e-006 9.80e-001 1.664715188e+002 1.664715597e+002 9.2e-012 2.64 114 2.6e-008 1.8e-003 9.4e-007 9.64e-001 1.664715213e+002 1.664715582e+002 8.3e-012 2.67 115 2.3e-008 1.6e-003 8.4e-007 1.02e+000 1.664715237e+002 1.664715568e+002 7.5e-012 2.69 116 2.1e-008 1.4e-003 7.6e-007 9.95e-001 1.664715257e+002 1.664715555e+002 6.8e-012 2.72 117 1.8e-008 1.3e-003 6.8e-007 9.12e-001 1.664715275e+002 1.664715542e+002 6.1e-012 2.73 118 1.7e-008 1.2e-003 6.2e-007 9.68e-001 1.664715291e+002 1.664715532e+002 5.5e-012 2.75 119 1.4e-008 1.0e-003 5.5e-007 1.02e+000 1.664715308e+002 1.664715520e+002 5.0e-012 2.78 120 1.5e-008 9.4e-004 5.0e-007 9.94e-001 1.664715321e+002 1.664715512e+002 4.5e-012 2.80 121 1.1e-008 8.5e-004 4.5e-007 9.55e-001 1.664715333e+002 1.664715503e+002 4.0e-012 2.83 122 9.5e-009 7.6e-004 4.0e-007 1.04e+000 1.664715345e+002 1.664715497e+002 3.7e-012 2.84 123 8.6e-009 6.9e-004 3.6e-007 9.69e-001 1.664715354e+002 1.664715489e+002 3.3e-012 2.86 124 7.9e-009 6.2e-004 3.3e-007 1.22e+000 1.664715363e+002 1.664715482e+002 3.0e-012 2.89 125 8.2e-009 5.9e-004 3.1e-007 9.37e-001 1.664715367e+002 1.664715479e+002 2.8e-012 2.91 126 1.1e-008 5.4e-004 2.4e-007 1.00e+000 1.664715390e+002 1.664715476e+002 2.6e-012 2.94 127 1.1e-008 5.3e-004 2.3e-007 2.48e-001 1.664715391e+002 1.664715478e+002 2.6e-012 2.97 128 9.9e-009 5.2e-004 2.3e-007 9.94e-001 1.664715391e+002 1.664715476e+002 2.5e-012 2.98 129 1.2e-008 4.7e-004 1.9e-007 1.00e+000 1.664715402e+002 1.664715473e+002 2.3e-012 3.02 130 1.9e-008 4.4e-004 1.8e-007 9.00e-001 1.664715405e+002 1.664715478e+002 2.1e-012 3.03 131 1.7e-008 4.0e-004 1.6e-007 9.98e-001 1.664715408e+002 1.664715472e+002 1.9e-012 3.08 132 1.9e-008 3.6e-004 1.4e-007 9.98e-001 1.664715411e+002 1.664715469e+002 1.7e-012 3.11 133 1.6e-008 3.2e-004 1.3e-007 1.06e+000 1.664715415e+002 1.664715467e+002 1.6e-012 3.14 134 1.5e-008 2.9e-004 1.2e-007 1.01e+000 1.664715417e+002 1.664715464e+002 1.4e-012 3.17 135 1.3e-008 2.6e-004 1.1e-007 9.99e-001 1.664715419e+002 1.664715461e+002 1.3e-012 3.20 136 1.2e-008 2.3e-004 9.5e-008 1.02e+000 1.664715421e+002 1.664715459e+002 1.2e-012 3.23 137 1.0e-008 2.1e-004 8.5e-008 9.70e-001 1.664715424e+002 1.664715459e+002 1.1e-012 3.27 138 9.5e-009 1.9e-004 7.7e-008 9.73e-001 1.664715425e+002 1.664715457e+002 9.5e-013 3.30 Interior-point optimizer terminated. Time: 3.31. Optimizer terminated. Time: 3.33 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6647154250e+002 nrm: 2e+001 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.6647154571e+002 nrm: 1e+003 Viol. con: 0e+000 var: 1e-003 * End solution on dual form. * Transforming to primal solution. Solving took 3.34 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (313) of matrix 'A'. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.05 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.06 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.50e+004 after factor : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.240890660e+005 2.000000000e+000 1.0e+000 0.11 1 1.7e+003 2.7e+003 9.1e+004 -9.71e-001 -1.233755490e+005 2.589054164e+000 7.4e-001 0.16 2 8.7e+002 1.4e+003 4.7e+004 -9.60e-001 -1.210082761e+005 4.592228650e+000 3.8e-001 0.20 3 2.9e+002 4.6e+002 1.6e+004 -9.21e-001 -1.119730941e+005 1.996577740e+001 1.3e-001 0.23 4 2.9e+002 4.6e+002 1.6e+004 -7.72e-001 -1.096886777e+005 2.027442408e+003 1.3e-001 0.28 5 1.2e+002 1.9e+002 6.5e+003 -7.62e-001 -8.833908481e+004 6.316939430e+003 5.3e-002 0.31 6 2.6e+001 4.2e+001 1.4e+003 -4.51e-001 -3.333432314e+004 1.296936669e+004 1.2e-002 0.36 7 1.8e+001 2.8e+001 9.6e+002 4.96e-001 -2.478702579e+004 7.515897520e+003 7.8e-003 0.39 8 1.0e+001 1.6e+001 5.4e+002 6.59e-001 -1.510563670e+004 4.440819716e+003 4.5e-003 0.42 9 4.0e+000 6.3e+000 2.2e+002 8.19e-001 -6.157741647e+003 2.007115961e+003 1.8e-003 0.45 10 2.1e+000 3.3e+000 1.1e+002 9.48e-001 -3.104717508e+003 1.229687297e+003 9.4e-004 0.48 11 8.8e-001 1.4e+000 4.9e+001 9.86e-001 -1.200006230e+003 6.537906187e+002 4.0e-004 0.52 12 8.4e-001 1.3e+000 4.6e+001 9.64e-001 -1.162677788e+003 6.224958815e+002 3.8e-004 0.55 13 5.3e-001 8.5e-001 3.0e+001 9.70e-001 -7.043218215e+002 4.457925126e+002 2.4e-004 0.59 14 3.6e-001 5.8e-001 2.0e+001 1.00e+000 -3.968527065e+002 3.710145027e+002 1.6e-004 0.63 15 1.1e-001 2.1e-001 6.4e+000 9.96e-001 -3.010054162e+001 2.181958902e+002 5.4e-005 0.66 16 8.5e-002 1.6e-001 4.8e+000 1.02e+000 2.156077901e+001 2.056313183e+002 4.0e-005 0.70 17 5.2e-002 9.8e-002 2.9e+000 1.02e+000 8.075223722e+001 1.922906211e+002 2.5e-005 0.73 18 1.4e-002 1.1e-001 8.3e-001 1.02e+000 1.432737857e+002 1.743307134e+002 6.9e-006 0.77 19 9.3e-003 8.2e-002 5.3e-001 1.01e+000 1.512019834e+002 1.711523032e+002 4.4e-006 0.81 20 2.1e-003 1.7e-001 1.3e-001 1.01e+000 1.630452454e+002 1.678275252e+002 1.1e-006 0.84 21 1.4e-003 1.2e-001 8.3e-002 9.94e-001 1.642487954e+002 1.673339384e+002 6.9e-007 0.88 22 5.6e-004 1.0e-001 3.4e-002 9.99e-001 1.655470292e+002 1.668323592e+002 2.9e-007 0.92 23 2.8e-004 8.1e-002 1.7e-002 1.01e+000 1.659966254e+002 1.666409301e+002 1.5e-007 0.95 24 1.4e-004 7.1e-002 9.0e-003 1.01e+000 1.662132121e+002 1.665466104e+002 7.6e-008 0.98 25 1.3e-004 6.5e-002 8.1e-003 1.01e+000 1.662389817e+002 1.665392739e+002 6.8e-008 1.03 26 1.2e-004 5.9e-002 7.3e-003 1.01e+000 1.662592792e+002 1.665294230e+002 6.2e-008 1.08 27 1.0e-004 5.4e-002 6.5e-003 1.01e+000 1.662780839e+002 1.665211489e+002 5.5e-008 1.11 28 9.4e-005 5.0e-002 5.9e-003 1.01e+000 1.662948825e+002 1.665135818e+002 5.0e-008 1.16 29 8.4e-005 4.6e-002 5.3e-003 1.01e+000 1.663099672e+002 1.665067490e+002 4.5e-008 1.19 30 7.6e-005 4.2e-002 4.8e-003 1.01e+000 1.663234996e+002 1.665005640e+002 4.0e-008 1.22 31 6.8e-005 3.8e-002 4.3e-003 1.01e+000 1.663356432e+002 1.664949692e+002 3.6e-008 1.25 32 6.1e-005 3.5e-002 3.9e-003 1.01e+000 1.663465411e+002 1.664899085e+002 3.3e-008 1.28 33 5.5e-005 3.3e-002 3.5e-003 1.01e+000 1.663563222e+002 1.664853318e+002 3.0e-008 1.31 34 5.0e-005 3.0e-002 3.1e-003 1.00e+000 1.663651020e+002 1.664811936e+002 2.7e-008 1.34 35 4.5e-005 2.8e-002 2.8e-003 1.00e+000 1.663729839e+002 1.664774527e+002 2.4e-008 1.38 36 4.0e-005 2.6e-002 2.5e-003 1.00e+000 1.663800607e+002 1.664740715e+002 2.2e-008 1.41 37 3.6e-005 2.4e-002 2.3e-003 1.00e+000 1.663864152e+002 1.664710162e+002 1.9e-008 1.44 38 3.3e-005 2.3e-002 2.1e-003 1.00e+000 1.663921219e+002 1.664682558e+002 1.7e-008 1.48 39 2.9e-005 2.1e-002 1.8e-003 1.00e+000 1.663972472e+002 1.664657622e+002 1.6e-008 1.51 40 2.6e-005 2.0e-002 1.7e-003 1.00e+000 1.664018508e+002 1.664635100e+002 1.4e-008 1.56 41 2.4e-005 1.9e-002 1.5e-003 1.00e+000 1.664059862e+002 1.664614761e+002 1.3e-008 1.61 42 2.1e-005 1.8e-002 1.3e-003 1.00e+000 1.664097013e+002 1.664596396e+002 1.1e-008 1.64 43 1.9e-005 1.7e-002 1.2e-003 1.00e+000 1.664130391e+002 1.664579815e+002 1.0e-008 1.67 44 1.7e-005 1.6e-002 1.1e-003 1.00e+000 1.664160380e+002 1.664564846e+002 9.3e-009 1.70 45 1.6e-005 1.5e-002 9.8e-004 1.00e+000 1.664187327e+002 1.664551335e+002 8.4e-009 1.73 46 1.4e-005 1.4e-002 8.8e-004 1.00e+000 1.664211542e+002 1.664539141e+002 7.5e-009 1.76 47 1.3e-005 1.4e-002 8.0e-004 1.00e+000 1.664233304e+002 1.664528137e+002 6.8e-009 1.80 48 1.1e-005 1.3e-002 7.2e-004 1.00e+000 1.664252863e+002 1.664518208e+002 6.1e-009 1.83 49 1.0e-005 1.3e-002 6.4e-004 1.00e+000 1.664270443e+002 1.664509250e+002 5.5e-009 1.86 50 9.2e-006 1.2e-002 5.8e-004 1.00e+000 1.664286245e+002 1.664501169e+002 4.9e-009 1.89 51 8.3e-006 1.2e-002 5.2e-004 1.00e+000 1.664300450e+002 1.664493881e+002 4.4e-009 1.92 52 7.5e-006 1.1e-002 4.7e-004 1.00e+000 1.664313221e+002 1.664487308e+002 4.0e-009 1.95 53 6.7e-006 1.1e-002 4.2e-004 1.00e+000 1.664324703e+002 1.664481381e+002 3.6e-009 1.98 54 6.0e-006 1.1e-002 3.8e-004 1.00e+000 1.664335026e+002 1.664476037e+002 3.2e-009 2.02 55 5.4e-006 1.0e-002 3.4e-004 1.00e+000 1.664344309e+002 1.664471219e+002 2.9e-009 2.05 56 4.9e-006 1.0e-002 3.1e-004 1.00e+000 1.664352656e+002 1.664466876e+002 2.6e-009 2.08 57 4.4e-006 1.0e-002 2.8e-004 1.00e+000 1.664360162e+002 1.664462961e+002 2.4e-009 2.11 58 4.0e-006 9.8e-003 2.5e-004 1.00e+000 1.664366912e+002 1.664459431e+002 2.1e-009 2.14 59 3.6e-006 9.6e-003 2.2e-004 1.00e+000 1.664372981e+002 1.664456250e+002 1.9e-009 2.17 60 3.2e-006 9.5e-003 2.0e-004 1.00e+000 1.664378440e+002 1.664453382e+002 1.7e-009 2.20 61 2.9e-006 9.3e-003 1.8e-004 1.00e+000 1.664383349e+002 1.664450798e+002 1.5e-009 2.23 62 2.6e-006 9.2e-003 1.6e-004 1.00e+000 1.664387764e+002 1.664448469e+002 1.4e-009 2.27 63 2.3e-006 9.1e-003 1.5e-004 1.00e+000 1.664391735e+002 1.664446371e+002 1.3e-009 2.30 64 2.1e-006 9.0e-003 1.3e-004 1.00e+000 1.664395308e+002 1.664444481e+002 1.1e-009 2.34 65 1.9e-006 8.9e-003 1.2e-004 1.00e+000 1.664398523e+002 1.664442778e+002 1.0e-009 2.38 66 1.7e-006 8.8e-003 1.1e-004 1.00e+000 1.664401414e+002 1.664441245e+002 9.2e-010 2.42 67 1.5e-006 8.7e-003 9.7e-005 1.00e+000 1.664404016e+002 1.664439864e+002 8.2e-010 2.45 68 1.4e-006 8.6e-003 8.7e-005 1.00e+000 1.664406357e+002 1.664438621e+002 7.4e-010 2.48 69 1.2e-006 8.5e-003 7.8e-005 1.00e+000 1.664408463e+002 1.664437501e+002 6.7e-010 2.53 70 1.1e-006 8.5e-003 7.1e-005 1.00e+000 1.664410358e+002 1.664436492e+002 6.0e-010 2.56 71 1.0e-006 8.4e-003 6.4e-005 1.00e+000 1.664412063e+002 1.664435584e+002 5.4e-010 2.59 72 9.1e-007 8.3e-003 5.7e-005 1.00e+000 1.664413596e+002 1.664434766e+002 4.9e-010 2.63 73 8.2e-007 8.3e-003 5.1e-005 1.00e+000 1.664414976e+002 1.664434029e+002 4.4e-010 2.67 74 7.4e-007 8.2e-003 4.6e-005 1.00e+000 1.664416218e+002 1.664433366e+002 3.9e-010 2.70 75 6.6e-007 8.2e-003 4.2e-005 1.00e+000 1.664417335e+002 1.664432768e+002 3.5e-010 2.73 76 6.0e-007 8.1e-003 3.8e-005 1.00e+000 1.664418339e+002 1.664432229e+002 3.2e-010 2.77 77 5.4e-007 8.1e-003 3.4e-005 1.00e+000 1.664419243e+002 1.664431744e+002 2.9e-010 2.78 78 4.8e-007 8.1e-003 3.0e-005 1.00e+000 1.664420056e+002 1.664431307e+002 2.6e-010 2.81 79 4.3e-007 8.0e-003 2.7e-005 1.00e+000 1.664420788e+002 1.664430914e+002 2.3e-010 2.84 80 3.9e-007 8.0e-003 2.5e-005 1.00e+000 1.664421446e+002 1.664430559e+002 2.1e-010 2.86 81 3.5e-007 8.0e-003 2.2e-005 1.00e+000 1.664422037e+002 1.664430240e+002 1.9e-010 2.89 82 3.2e-007 7.9e-003 2.0e-005 1.00e+000 1.664422570e+002 1.664429952e+002 1.7e-010 2.92 83 2.8e-007 7.9e-003 1.8e-005 1.00e+000 1.664423049e+002 1.664429693e+002 1.5e-010 2.95 84 2.6e-007 7.9e-003 1.6e-005 1.00e+000 1.664423480e+002 1.664429460e+002 1.4e-010 2.97 85 2.3e-007 7.9e-003 1.5e-005 1.00e+000 1.664423868e+002 1.664429250e+002 1.2e-010 3.00 86 2.1e-007 7.8e-003 1.3e-005 1.00e+000 1.664424217e+002 1.664429061e+002 1.1e-010 3.03 87 1.9e-007 7.8e-003 1.2e-005 1.00e+000 1.664424532e+002 1.664428891e+002 1.0e-010 3.06 88 1.7e-007 7.8e-003 1.1e-005 1.00e+000 1.664424815e+002 1.664428738e+002 9.0e-011 3.09 89 1.5e-007 7.8e-003 9.5e-006 1.00e+000 1.664425069e+002 1.664428600e+002 8.1e-011 3.13 90 1.4e-007 7.8e-003 8.6e-006 1.00e+000 1.664425298e+002 1.664428476e+002 7.3e-011 3.16 91 1.2e-007 7.8e-003 7.7e-006 1.00e+000 1.664425504e+002 1.664428364e+002 6.6e-011 3.19 92 1.1e-007 7.7e-003 7.0e-006 1.00e+000 1.664425690e+002 1.664428264e+002 5.9e-011 3.22 93 9.9e-008 7.7e-003 6.3e-006 1.00e+000 1.664425857e+002 1.664428173e+002 5.3e-011 3.27 94 8.9e-008 7.7e-003 5.6e-006 1.00e+000 1.664426007e+002 1.664428092e+002 4.8e-011 3.30 95 8.0e-008 7.7e-003 5.1e-006 1.00e+000 1.664426142e+002 1.664428018e+002 4.3e-011 3.33 96 7.2e-008 7.7e-003 4.6e-006 1.00e+000 1.664426264e+002 1.664427952e+002 3.9e-011 3.36 97 6.5e-008 7.7e-003 4.1e-006 1.00e+000 1.664426374e+002 1.664427893e+002 3.5e-011 3.39 98 5.9e-008 7.7e-003 3.7e-006 1.00e+000 1.664426472e+002 1.664427840e+002 3.1e-011 3.42 99 5.3e-008 7.7e-003 3.3e-006 1.00e+000 1.664426561e+002 1.664427792e+002 2.8e-011 3.45 100 4.7e-008 7.7e-003 3.0e-006 9.99e-001 1.664426641e+002 1.664427749e+002 2.5e-011 3.50 101 4.3e-008 7.6e-003 2.7e-006 1.00e+000 1.664426713e+002 1.664427710e+002 2.3e-011 3.53 102 3.8e-008 7.6e-003 2.4e-006 1.00e+000 1.664426778e+002 1.664427675e+002 2.1e-011 3.56 103 3.5e-008 6.9e-003 2.2e-006 1.00e+000 1.664426836e+002 1.664427643e+002 1.9e-011 3.59 104 3.1e-008 6.2e-003 2.0e-006 9.99e-001 1.664426888e+002 1.664427615e+002 1.7e-011 3.63 105 2.8e-008 5.6e-003 1.8e-006 1.00e+000 1.664426936e+002 1.664427589e+002 1.5e-011 3.66 106 2.5e-008 5.0e-003 1.6e-006 9.95e-001 1.664426978e+002 1.664427566e+002 1.4e-011 3.69 107 2.3e-008 4.5e-003 1.4e-006 1.00e+000 1.664427017e+002 1.664427545e+002 1.2e-011 3.72 108 2.0e-008 4.1e-003 1.3e-006 9.98e-001 1.664427051e+002 1.664427527e+002 1.1e-011 3.75 109 1.8e-008 3.6e-003 1.2e-006 9.96e-001 1.664427082e+002 1.664427510e+002 9.9e-012 3.78 110 1.7e-008 3.3e-003 1.0e-006 1.01e+000 1.664427110e+002 1.664427495e+002 8.9e-012 3.81 111 1.5e-008 3.0e-003 9.4e-007 1.00e+000 1.664427135e+002 1.664427481e+002 8.0e-012 3.84 112 1.3e-008 2.7e-003 8.5e-007 9.98e-001 1.664427158e+002 1.664427469e+002 7.2e-012 3.89 113 1.2e-008 2.4e-003 7.6e-007 9.93e-001 1.664427178e+002 1.664427458e+002 6.5e-012 3.92 114 1.1e-008 2.2e-003 6.8e-007 1.01e+000 1.664427197e+002 1.664427448e+002 5.9e-012 3.95 115 9.8e-009 1.9e-003 6.2e-007 1.01e+000 1.664427213e+002 1.664427439e+002 5.3e-012 3.98 116 8.8e-009 1.7e-003 5.5e-007 9.88e-001 1.664427228e+002 1.664427431e+002 4.8e-012 4.03 117 7.9e-009 1.6e-003 5.0e-007 1.00e+000 1.664427241e+002 1.664427424e+002 4.3e-012 4.06 118 7.2e-009 1.4e-003 4.5e-007 9.92e-001 1.664427253e+002 1.664427418e+002 3.9e-012 4.09 119 6.5e-009 1.3e-003 4.0e-007 1.00e+000 1.664427264e+002 1.664427412e+002 3.5e-012 4.13 120 5.8e-009 1.1e-003 3.6e-007 9.70e-001 1.664427274e+002 1.664427407e+002 3.1e-012 4.16 121 5.4e-009 1.0e-003 3.3e-007 1.00e+000 1.664427282e+002 1.664427402e+002 2.8e-012 4.19 122 4.8e-009 9.3e-004 2.9e-007 1.01e+000 1.664427290e+002 1.664427398e+002 2.6e-012 4.23 123 4.4e-009 8.3e-004 2.7e-007 9.97e-001 1.664427297e+002 1.664427394e+002 2.3e-012 4.26 124 3.9e-009 7.5e-004 2.4e-007 9.98e-001 1.664427303e+002 1.664427391e+002 2.1e-012 4.30 125 3.6e-009 6.8e-004 2.1e-007 1.01e+000 1.664427309e+002 1.664427387e+002 1.9e-012 4.33 126 3.9e-009 6.1e-004 1.9e-007 9.33e-001 1.664427314e+002 1.664427387e+002 1.7e-012 4.36 127 3.7e-009 5.5e-004 1.7e-007 1.04e+000 1.664427319e+002 1.664427385e+002 1.6e-012 4.39 128 3.4e-009 5.0e-004 1.6e-007 1.00e+000 1.664427323e+002 1.664427382e+002 1.4e-012 4.42 129 3.0e-009 4.5e-004 1.4e-007 1.00e+000 1.664427327e+002 1.664427380e+002 1.3e-012 4.45 130 2.7e-009 4.0e-004 1.3e-007 1.01e+000 1.664427330e+002 1.664427378e+002 1.1e-012 4.48 131 2.4e-009 3.6e-004 1.1e-007 1.00e+000 1.664427333e+002 1.664427376e+002 1.0e-012 4.51 132 2.2e-009 3.3e-004 1.0e-007 1.00e+000 1.664427336e+002 1.664427375e+002 9.3e-013 4.56 Interior-point optimizer terminated. Time: 4.56. Optimizer terminated. Time: 4.58 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6644273358e+002 nrm: 2e+001 Viol. con: 5e-008 var: 0e+000 Dual. obj: 1.6644273745e+002 nrm: 1e+003 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 4.62 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (313) of matrix 'A'. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 6 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.05 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 884 Optimizer - Cones : 0 Optimizer - Scalar variables : 3485 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.06 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.50e+004 after factor : 1.57e+005 Factor - dense dim. : 0 flops : 3.21e+007 Factor - GP saved nzs : 3.38e+004 GP saved flops : 9.46e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.6e+003 1.2e+005 0.00e+000 -1.240880770e+005 2.000000000e+000 1.0e+000 0.11 1 1.7e+003 2.7e+003 9.1e+004 -9.71e-001 -1.233744707e+005 2.589112558e+000 7.4e-001 0.17 2 8.7e+002 1.4e+003 4.7e+004 -9.60e-001 -1.210059942e+005 4.592868257e+000 3.8e-001 0.20 3 2.9e+002 4.6e+002 1.6e+004 -9.21e-001 -1.119556164e+005 1.997648880e+001 1.3e-001 0.23 4 2.9e+002 4.6e+002 1.6e+004 -7.71e-001 -1.096746915e+005 2.025479774e+003 1.3e-001 0.27 5 1.2e+002 1.9e+002 6.5e+003 -7.62e-001 -8.827756191e+004 6.319412006e+003 5.3e-002 0.30 6 2.6e+001 4.1e+001 1.4e+003 -4.50e-001 -3.282455391e+004 1.300362943e+004 1.2e-002 0.33 7 1.7e+001 2.7e+001 9.4e+002 5.06e-001 -2.436620243e+004 7.408565201e+003 7.7e-003 0.36 8 1.0e+001 1.6e+001 5.4e+002 6.66e-001 -1.510308353e+004 4.453579903e+003 4.5e-003 0.39 9 4.0e+000 6.4e+000 2.2e+002 8.19e-001 -6.203785271e+003 2.019834559e+003 1.8e-003 0.42 10 2.1e+000 3.3e+000 1.1e+002 9.46e-001 -3.109662157e+003 1.233172358e+003 9.4e-004 0.45 11 8.8e-001 1.4e+000 4.9e+001 9.86e-001 -1.207758487e+003 6.535806434e+002 4.0e-004 0.48 12 8.4e-001 1.3e+000 4.7e+001 9.63e-001 -1.172826143e+003 6.229631761e+002 3.8e-004 0.52 13 5.3e-001 8.5e-001 3.0e+001 9.69e-001 -7.079344594e+002 4.452551851e+002 2.5e-004 0.56 14 3.6e-001 5.9e-001 2.0e+001 1.00e+000 -4.031217669e+002 3.734531052e+002 1.7e-004 0.61 15 1.1e-001 2.1e-001 6.4e+000 9.95e-001 -2.958283409e+001 2.181048654e+002 5.4e-005 0.64 16 8.4e-002 1.6e-001 4.7e+000 1.02e+000 2.264613328e+001 2.049898968e+002 4.0e-005 0.67 17 5.0e-002 9.4e-002 2.8e+000 1.02e+000 8.385604168e+001 1.914381357e+002 2.4e-005 0.70 18 1.3e-002 1.7e-001 7.2e-001 1.02e+000 1.463966866e+002 1.735336794e+002 6.0e-006 0.75 19 4.3e-003 1.8e-001 2.5e-001 1.01e+000 1.595035902e+002 1.688542050e+002 2.1e-006 0.78 20 1.9e-003 1.0e-001 1.1e-001 1.01e+000 1.633244864e+002 1.675556295e+002 9.5e-007 0.81 21 8.0e-004 9.1e-002 4.8e-002 1.01e+000 1.651312618e+002 1.669232927e+002 4.1e-007 0.84 22 2.8e-004 1.0e-001 1.8e-002 1.01e+000 1.659706597e+002 1.666221709e+002 1.5e-007 0.88 23 1.1e-004 9.8e-002 6.6e-003 1.01e+000 1.662545727e+002 1.664997861e+002 5.7e-008 0.91 24 9.5e-005 8.9e-002 6.0e-003 1.01e+000 1.662733341e+002 1.664940182e+002 5.2e-008 0.94 25 8.6e-005 8.1e-002 5.4e-003 1.01e+000 1.662886060e+002 1.664871333e+002 4.6e-008 0.97 26 7.7e-005 7.4e-002 4.8e-003 1.01e+000 1.663024547e+002 1.664810605e+002 4.2e-008 1.02 27 6.9e-005 6.7e-002 4.4e-003 1.01e+000 1.663148509e+002 1.664755381e+002 3.8e-008 1.05 28 6.2e-005 6.1e-002 3.9e-003 1.01e+000 1.663259774e+002 1.664705478e+002 3.4e-008 1.08 29 5.6e-005 5.6e-002 3.5e-003 1.01e+000 1.663359605e+002 1.664660341e+002 3.1e-008 1.11 30 5.1e-005 5.1e-002 3.2e-003 1.01e+000 1.663449197e+002 1.664619530e+002 2.7e-008 1.16 31 4.5e-005 4.7e-002 2.9e-003 1.01e+000 1.663529610e+002 1.664582639e+002 2.5e-008 1.19 32 4.1e-005 4.3e-002 2.6e-003 1.01e+000 1.663601794e+002 1.664549297e+002 2.2e-008 1.22 33 3.7e-005 3.9e-002 2.3e-003 1.01e+000 1.663666600e+002 1.664519170e+002 2.0e-008 1.27 34 3.3e-005 3.6e-002 2.1e-003 1.01e+000 1.663724790e+002 1.664491952e+002 1.8e-008 1.30 35 3.0e-005 3.3e-002 1.9e-003 1.01e+000 1.663777044e+002 1.664467368e+002 1.6e-008 1.31 36 2.7e-005 3.1e-002 1.7e-003 1.00e+000 1.663823975e+002 1.664445166e+002 1.5e-008 1.34 37 2.4e-005 2.9e-002 1.5e-003 1.00e+000 1.663866128e+002 1.664425118e+002 1.3e-008 1.36 38 2.2e-005 2.7e-002 1.4e-003 1.00e+000 1.663903993e+002 1.664407017e+002 1.2e-008 1.39 39 2.0e-005 2.5e-002 1.2e-003 1.00e+000 1.663938009e+002 1.664390677e+002 1.1e-008 1.41 40 1.8e-005 2.3e-002 1.1e-003 1.00e+000 1.663968571e+002 1.664375928e+002 9.6e-009 1.44 41 1.6e-005 2.1e-002 1.0e-003 1.00e+000 1.663996032e+002 1.664362617e+002 8.6e-009 1.45 42 1.4e-005 2.0e-002 9.0e-004 1.00e+000 1.664020707e+002 1.664350605e+002 7.8e-009 1.47 43 1.3e-005 1.9e-002 8.1e-004 1.00e+000 1.664042882e+002 1.664339767e+002 7.0e-009 1.50 44 1.2e-005 1.8e-002 7.3e-004 1.00e+000 1.664062812e+002 1.664329990e+002 6.3e-009 1.52 45 1.0e-005 1.7e-002 6.5e-004 1.00e+000 1.664080725e+002 1.664321170e+002 5.7e-009 1.55 46 9.4e-006 1.6e-002 5.9e-004 1.00e+000 1.664096826e+002 1.664313215e+002 5.1e-009 1.56 47 8.4e-006 1.5e-002 5.3e-004 1.00e+000 1.664111301e+002 1.664306041e+002 4.6e-009 1.59 48 7.6e-006 1.4e-002 4.8e-004 1.00e+000 1.664124313e+002 1.664299572e+002 4.1e-009 1.61 49 6.8e-006 1.4e-002 4.3e-004 1.00e+000 1.664136013e+002 1.664293740e+002 3.7e-009 1.63 50 6.1e-006 1.3e-002 3.9e-004 1.00e+000 1.664146532e+002 1.664288482e+002 3.3e-009 1.66 51 5.5e-006 1.3e-002 3.5e-004 1.00e+000 1.664155991e+002 1.664283742e+002 3.0e-009 1.67 52 5.0e-006 1.2e-002 3.1e-004 1.00e+000 1.664164496e+002 1.664279469e+002 2.7e-009 1.69 53 4.5e-006 1.2e-002 2.8e-004 1.00e+000 1.664172145e+002 1.664275618e+002 2.4e-009 1.72 54 4.0e-006 1.1e-002 2.5e-004 1.00e+000 1.664179022e+002 1.664272147e+002 2.2e-009 1.74 55 3.6e-006 1.1e-002 2.3e-004 1.00e+000 1.664185207e+002 1.664269017e+002 2.0e-009 1.77 56 3.3e-006 1.1e-002 2.1e-004 1.00e+000 1.664190769e+002 1.664266197e+002 1.8e-009 1.78 57 2.9e-006 1.1e-002 1.8e-004 1.00e+000 1.664195770e+002 1.664263655e+002 1.6e-009 1.80 58 2.6e-006 1.0e-002 1.7e-004 1.00e+000 1.664200269e+002 1.664261364e+002 1.4e-009 1.83 59 2.4e-006 1.0e-002 1.5e-004 1.00e+000 1.664204315e+002 1.664259301e+002 1.3e-009 1.84 60 2.1e-006 9.9e-003 1.3e-004 1.00e+000 1.664207955e+002 1.664257442e+002 1.2e-009 1.88 61 1.9e-006 9.7e-003 1.2e-004 1.00e+000 1.664211230e+002 1.664255768e+002 1.1e-009 1.89 62 1.7e-006 9.5e-003 1.1e-004 1.00e+000 1.664214176e+002 1.664254259e+002 9.5e-010 1.92 63 1.6e-006 9.4e-003 9.8e-005 1.00e+000 1.664216826e+002 1.664252901e+002 8.5e-010 1.95 64 1.4e-006 9.2e-003 8.8e-005 1.00e+000 1.664219210e+002 1.664251678e+002 7.7e-010 1.97 65 1.3e-006 9.1e-003 8.0e-005 1.00e+000 1.664221355e+002 1.664250576e+002 6.9e-010 1.99 66 1.1e-006 9.0e-003 7.2e-005 1.00e+000 1.664223285e+002 1.664249584e+002 6.2e-010 2.00 67 1.0e-006 8.9e-003 6.4e-005 1.00e+000 1.664225021e+002 1.664248690e+002 5.6e-010 2.03 68 9.2e-007 8.8e-003 5.8e-005 1.00e+000 1.664226583e+002 1.664247886e+002 5.0e-010 2.05 69 8.3e-007 8.7e-003 5.2e-005 1.00e+000 1.664227989e+002 1.664247161e+002 4.5e-010 2.06 70 7.5e-007 8.6e-003 4.7e-005 1.00e+000 1.664229253e+002 1.664246508e+002 4.1e-010 2.09 71 6.7e-007 8.5e-003 4.2e-005 1.00e+000 1.664230390e+002 1.664245920e+002 3.7e-010 2.11 72 6.0e-007 8.5e-003 3.8e-005 1.00e+000 1.664231413e+002 1.664245390e+002 3.3e-010 2.13 73 5.4e-007 8.4e-003 3.4e-005 1.00e+000 1.664232334e+002 1.664244912e+002 3.0e-010 2.14 74 4.9e-007 8.3e-003 3.1e-005 1.00e+000 1.664233161e+002 1.664244482e+002 2.7e-010 2.16 75 4.4e-007 8.3e-003 2.8e-005 1.00e+000 1.664233906e+002 1.664244095e+002 2.4e-010 2.17 76 4.0e-007 8.2e-003 2.5e-005 1.00e+000 1.664234576e+002 1.664243746e+002 2.2e-010 2.19 77 3.6e-007 8.2e-003 2.2e-005 1.00e+000 1.664235178e+002 1.664243431e+002 1.9e-010 2.22 78 3.2e-007 8.1e-003 2.0e-005 1.00e+000 1.664235720e+002 1.664243148e+002 1.8e-010 2.23 79 2.9e-007 8.1e-003 1.8e-005 1.00e+000 1.664236208e+002 1.664242893e+002 1.6e-010 2.25 80 2.6e-007 8.1e-003 1.6e-005 1.00e+000 1.664236646e+002 1.664242663e+002 1.4e-010 2.27 81 2.3e-007 8.0e-003 1.5e-005 1.00e+000 1.664237041e+002 1.664242456e+002 1.3e-010 2.28 82 2.1e-007 8.0e-003 1.3e-005 1.00e+000 1.664237396e+002 1.664242270e+002 1.2e-010 2.30 83 1.9e-007 8.0e-003 1.2e-005 1.00e+000 1.664237716e+002 1.664242102e+002 1.0e-010 2.33 84 1.7e-007 7.9e-003 1.1e-005 1.00e+000 1.664238003e+002 1.664241951e+002 9.3e-011 2.34 85 1.5e-007 7.9e-003 9.7e-006 1.00e+000 1.664238262e+002 1.664241815e+002 8.4e-011 2.36 86 1.4e-007 7.9e-003 8.7e-006 1.00e+000 1.664238495e+002 1.664241693e+002 7.5e-011 2.38 87 1.2e-007 7.9e-003 7.8e-006 1.00e+000 1.664238705e+002 1.664241582e+002 6.8e-011 2.39 88 1.1e-007 7.9e-003 7.1e-006 1.00e+000 1.664238893e+002 1.664241483e+002 6.1e-011 2.41 89 1.0e-007 7.8e-003 6.4e-006 1.00e+000 1.664239063e+002 1.664241394e+002 5.5e-011 2.42 90 9.1e-008 7.8e-003 5.7e-006 1.00e+000 1.664239216e+002 1.664241314e+002 5.0e-011 2.45 91 8.2e-008 7.8e-003 5.1e-006 1.00e+000 1.664239353e+002 1.664241241e+002 4.5e-011 2.47 92 7.4e-008 7.8e-003 4.6e-006 1.00e+000 1.664239477e+002 1.664241176e+002 4.0e-011 2.48 93 6.6e-008 7.8e-003 4.2e-006 1.00e+000 1.664239588e+002 1.664241117e+002 3.6e-011 2.50 94 6.0e-008 7.8e-003 3.8e-006 1.00e+000 1.664239688e+002 1.664241065e+002 3.3e-011 2.52 95 5.4e-008 7.7e-003 3.4e-006 1.00e+000 1.664239778e+002 1.664241020e+002 2.9e-011 2.53 96 4.8e-008 7.6e-003 3.0e-006 9.97e-001 1.664239859e+002 1.664240977e+002 2.6e-011 2.55 97 4.3e-008 6.9e-003 2.7e-006 1.00e+000 1.664239932e+002 1.664240938e+002 2.4e-011 2.58 98 3.9e-008 6.2e-003 2.5e-006 9.98e-001 1.664239998e+002 1.664240903e+002 2.1e-011 2.59 99 3.5e-008 5.6e-003 2.2e-006 1.00e+000 1.664240057e+002 1.664240872e+002 1.9e-011 2.61 100 3.2e-008 5.0e-003 2.0e-006 1.00e+000 1.664240110e+002 1.664240844e+002 1.7e-011 2.63 101 3.0e-008 5.0e-003 1.8e-006 9.85e-001 1.664240157e+002 1.664240824e+002 1.6e-011 2.64 102 2.7e-008 4.5e-003 1.6e-006 9.99e-001 1.664240200e+002 1.664240800e+002 1.4e-011 2.66 103 2.4e-008 4.0e-003 1.5e-006 9.99e-001 1.664240239e+002 1.664240779e+002 1.3e-011 2.69 104 2.2e-008 3.6e-003 1.3e-006 1.00e+000 1.664240274e+002 1.664240759e+002 1.1e-011 2.70 105 1.9e-008 3.3e-003 1.2e-006 1.01e+000 1.664240306e+002 1.664240742e+002 1.0e-011 2.72 106 1.8e-008 2.9e-003 1.1e-006 9.96e-001 1.664240335e+002 1.664240727e+002 9.2e-012 2.75 107 1.6e-008 2.6e-003 9.5e-007 1.01e+000 1.664240361e+002 1.664240713e+002 8.3e-012 2.77 108 1.4e-008 2.4e-003 8.6e-007 1.01e+000 1.664240385e+002 1.664240700e+002 7.5e-012 2.78 109 1.3e-008 2.1e-003 7.7e-007 1.01e+000 1.664240405e+002 1.664240689e+002 6.8e-012 2.81 110 1.2e-008 1.9e-003 6.9e-007 1.00e+000 1.664240424e+002 1.664240679e+002 6.1e-012 2.83 111 1.1e-008 1.7e-003 6.3e-007 1.00e+000 1.664240440e+002 1.664240670e+002 5.5e-012 2.86 112 9.7e-009 1.6e-003 5.6e-007 1.00e+000 1.664240455e+002 1.664240662e+002 5.0e-012 2.88 113 8.7e-009 1.4e-003 5.1e-007 9.79e-001 1.664240469e+002 1.664240655e+002 4.5e-012 2.89 114 8.2e-009 1.3e-003 4.6e-007 1.02e+000 1.664240482e+002 1.664240648e+002 4.1e-012 2.92 115 7.6e-009 1.1e-003 4.1e-007 9.98e-001 1.664240492e+002 1.664240642e+002 3.6e-012 2.94 116 6.8e-009 1.0e-003 3.7e-007 1.00e+000 1.664240502e+002 1.664240636e+002 3.3e-012 2.97 117 6.1e-009 9.2e-004 3.3e-007 9.98e-001 1.664240511e+002 1.664240631e+002 3.0e-012 2.98 118 5.6e-009 8.3e-004 3.0e-007 1.00e+000 1.664240519e+002 1.664240627e+002 2.7e-012 3.00 119 1.9e-008 7.5e-004 2.7e-007 1.06e+000 1.664240529e+002 1.664240619e+002 2.5e-012 3.03 120 1.7e-008 6.7e-004 2.4e-007 1.02e+000 1.664240535e+002 1.664240615e+002 2.2e-012 3.05 121 1.6e-008 6.1e-004 2.2e-007 9.78e-001 1.664240541e+002 1.664240613e+002 2.0e-012 3.06 122 1.4e-008 5.4e-004 2.0e-007 1.03e+000 1.664240546e+002 1.664240610e+002 1.8e-012 3.08 123 1.2e-008 4.9e-004 1.8e-007 1.01e+000 1.664240550e+002 1.664240608e+002 1.6e-012 3.11 124 1.1e-008 4.4e-004 1.6e-007 9.91e-001 1.664240554e+002 1.664240607e+002 1.5e-012 3.13 125 9.8e-009 4.0e-004 1.4e-007 9.97e-001 1.664240558e+002 1.664240605e+002 1.3e-012 3.14 126 8.9e-009 3.6e-004 1.3e-007 9.89e-001 1.664240561e+002 1.664240603e+002 1.2e-012 3.16 127 7.6e-009 3.2e-004 1.2e-007 1.01e+000 1.664240564e+002 1.664240602e+002 1.1e-012 3.17 128 6.9e-009 2.9e-004 1.0e-007 9.94e-001 1.664240566e+002 1.664240601e+002 9.8e-013 3.20 Interior-point optimizer terminated. Time: 3.20. Optimizer terminated. Time: 3.36 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6642405662e+002 nrm: 2e+001 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.6642406006e+002 nrm: 1e+003 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 3.38 seconds. Solving took 9 GP solves and 41.9 seconds. Solves with these variables bounded: value near lower bound: Mission.CruiseAlt value near upper bound: Mission.Aircraft.HorizontalTail.WingBox.M_{r_{out}}, Mission.Aircraft.Engine.Thrust.\alpha_{max}, Mission.Aircraft.Wing.WingNoStruct.A_{tri}, Mission.TotalTime, Mission.Aircraft.LandingGear.d_{nacelle}, Mission.T_{t_{4.1_{max-Cruise}}} Checking for relaxed constants... Solution check warning: Primal solution computed cost did not match solver-returned cost: 3.195718508984129e+111 vs 3.19563666696e+111 GP iteration 0 has relaxed constants Cost ---- 3.196e+111 Free Variables -------------- | Mission.Aircraft.Engine.Turbine.Relax C_{p_{t2}} : 2.517 Cp Value for Combustion Products in LP Turbine | Mission.Aircraft.Fuselage.Relax l_{nose} : 1.039 Nose length n_{pass} : [ 2.86 ] Number of passengers | Mission.Aircraft.Relax f_{L_{total/wing}} : 1.637 Total lift as a percentage of wing lift | Mission.Aircraft.Wing.WingNoStruct.Relax \tan(\Lambda) : 1.141 Tangent of quarter-chord sweep angle | Mission.FlightState.Atmosphere.Relax L_{atm} : [ 1.76 1 1 1 1 ] Temperature lapse rate T_{sl} : [ 1 1 1.24 1 1 ] Temperature at sea level | Mission.Relax R_{req} : 2.528 Required Cruise Range GP iteration 1 has relaxed constants Cost ---- 6.666e+73 Free Variables -------------- | Mission.Aircraft.LandingGear.Relax h_{hold} : 1 Hold height WEIGHT DIFFERENCES Total Fuel Weight Percent Diff: [-92.83316715] Total Aircraft Weight Percent Diff: [-21.66909538] Engine Weight Percent Diff: -57.337989825794125 Fuselage Weight Percent Diff: -0.8913983125228799 Payload Weight Percent Diff: [-0.04003553] VT Weight Percent Diff: -9.158155738022614 HT Weight Percent Diff: -93.46338232534214 Wing Weight Percent Diff: 8.051410321613147 WING DIFFERENCES Wing Span Percent Diff: -0.029997728453754757 Wing Area Percent Diff: 32.64775943170825 HORIZONTAL TAIL DIFFERENCES HT Area Percent Diff: 39.78078056274024 VERTICAL TAIL DIFFERENCES VT Span Percent Diff: -11.201407696064093 VT Area Percent Diff: -60.54611793638685 CRUISE SEGMENT 1 DRAG DIFFERENCES Overall Cd Percent Diff: [-19.0435105] L/D Percent Diff: [24.11834867] Nacelle Cd Percent Diff: [-94.5001562] HT Cd Percent Diff: [-81.04980029] dimensionless Fuselage Cd Percent Diff: [108.78752887] VT Cd Percent Diff: [-58.08576198] dimensionless Wing Cd percent Diff: [-14.57513864] Induced Drag Cd Percent Diff: [-0.01501961] CRUISE SEGMENT 1 TSFC DIFFERENCES Initial Cruise TSFC Percent Diff: [-90.38118425] FUSELAGE DIFFERENCES Weight of HB material: -39.915742713901565 Weight of VB material: 86.36854403891174 Fan Propulsive Efficiency in Cruise Segment 1 --------------------- [0.7058531] Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 49.905s 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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-cpqwha Running command git clone -q https://github.com/convexengineering/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-cpqwha' 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:\anaconda2\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) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=c8233f7d4ebdeff6e39192e2b33a9696720d00ae358f297ff7be354e8f377545 Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-ca3ufj\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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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-5ghpfa Running command git clone -q https://github.com/convexengineering/gassolar.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-5ghpfa' 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:\anaconda2\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) (0.9.0.1) Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_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: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.11.0) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gassolar==0.0.0.0) (2018.0.0) Building wheels for collected packages: gassolar Building wheel for gassolar (setup.py): started Building wheel for gassolar (setup.py): finished with status 'done' Created wheel for gassolar: filename=gassolar-0.0.0.0-cp27-none-any.whl size=4895586 sha256=422a8921b111ef28c61701898809bd5459b9c49113404cb681a8da36e32e9750 Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-odypea\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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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:\anaconda2\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) (0.9.0.1) Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (from solar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in c:\users\jenkins\workspace\gplibrary_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: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->solar==0.0.0.0) (1.11.0) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2017.3) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas->solar==0.0.0.0) (2.6.1) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->solar==0.0.0.0) (2018.0.0) Building wheels for collected packages: solar Building wheel for solar (setup.py): started Building wheel for solar (setup.py): finished with status 'done' Created wheel for solar: filename=solar-0.0.0.0-cp27-none-any.whl size=14965 sha256=923c230daaaaac2ecbcb7ca814ff85b6c9c52e19b8d84d9612e11421d263975e Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-cjegnd\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' N=1 Beginning signomial solve. Solving took 5 GP solves and 2.11 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632916.9433 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259333.2959 but bound is 1000000.0000 N=3 Beginning signomial solve. Solving took 5 GP solves and 2.45 seconds. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036204.4448 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006645.3572 but bound is 1000000.0000 N=5 Beginning signomial solve. Solving took 5 GP solves and 2.35 seconds. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 989673.4665 but bound is 600000.0000 Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1019678.5408 but bound is 1000000.0000 N=7 Beginning signomial solve. Solving took 5 GP solves and 2 seconds. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976142.1475 but bound is 600000.0000 Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.4123 but bound is 1000000.0000 N=9 Beginning signomial solve. Solving took 5 GP solves and 2.55 seconds. Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007400.4781 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092545.5147 but bound is 1000000.0000 N=0 Beginning signomial solve. Solving took 4 GP solves and 1.39 seconds. Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119121.2077 but bound is 600000.0000 N=1 Beginning signomial solve. Solving took 5 GP solves and 2.97 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000 N=3 Beginning signomial solve. Solving took 5 GP solves and 2.81 seconds. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036209.6021 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006641.3990 but bound is 1000000.0000 N=5 Beginning signomial solve. cpe: Command '[u'mskexpopt', u'c:\\users\\jenkins\\appdata\\local\\temp\\tmpr7x6mf\\gpkit_mosek', u'-sol', u'c:\\users\\jenkins\\appdata\\local\\temp\\tmpr7x6mf\\gpkit_mosek.sol']' returned non-zero exit status 10006 N=7 Beginning signomial solve. cpe: Command '[u'mskexpopt', u'c:\\users\\jenkins\\appdata\\local\\temp\\tmpszopej\\gpkit_mosek', u'-sol', u'c:\\users\\jenkins\\appdata\\local\\temp\\tmpszopej\\gpkit_mosek.sol']' returned non-zero exit status 10006 N=9 Beginning signomial solve. Solving took 5 GP solves and 4.32 seconds. Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000 N=0 Beginning signomial solve. Solving took 4 GP solves and 1.95 seconds. Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 6.57 seconds. Using solver 'mosek' Solving for 14852 variables. Solving took 5.56 seconds. Allowing negative dual variable(s) as small as -1.3315848400150147e-09. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 671709.7503 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.82 seconds. Allowing negative dual variable(s) as small as -4.34940241792539e-11. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 729183.6240 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.99 seconds. Allowing negative dual variable(s) as small as -7.460691941964173e-11. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 802959.5992 but bound is 600000.0000 Using solver 'mosek' Solving for 7672 variables. Solving took 4.12 seconds. Allowing negative dual variable(s) as small as -1.0974675047084341e-11. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.5070 but bound is 600000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.93 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] 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 1.8 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119121.2079 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 220.510s 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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-sfewj9 Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-sfewj9' 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:\anaconda2\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) (0.9.0.1) Requirement already satisfied: pint>=0.8.1 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->gpfit==0.1) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->gpfit==0.1) (2018.0.0) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-cp27-none-any.whl size=25430 sha256=8dde552d2e803639fac9f54c1b8b7862622d5fb7c1148dbce756ed4f30a09fea Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-6lm1h1\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. More details about Python 2 support in pip, can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support 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:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2) Building wheels for collected packages: gpkitmodels Building wheel for gpkitmodels (setup.py): started Building wheel for gpkitmodels (setup.py): finished with status 'done' Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-cp27-none-any.whl size=66226 sha256=3719e95361f9959d3a1396ee69d9bab2eba6b9f82acd42c1f36f8dcaea5fd272 Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-mlprq4\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 0.038 seconds. Using solver 'mosek_cli' Solving for 11 variables. Solving took 0.785 seconds. Using solver 'mosek' Solving for 9 variables. Solving took 0.026 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.052 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.155 seconds. Beginning signomial solve. Solving took 16 GP solves and 3.39 seconds. Using solver 'mosek_cli' Solving for 9 variables. Solving took 0.075 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.111 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.118 seconds. Beginning signomial solve. Solving took 16 GP solves and 2.86 seconds. Using solver 'mosek' Solving for 13 variables. Solving took 0.034 seconds. Beginning signomial solve. Solving took 11 GP solves and 1.71 seconds. Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619898.2090 but bound is 700000.0000 Using solver 'mosek_cli' Solving for 13 variables. Solving took 0.072 seconds. Beginning signomial solve. Solving took 11 GP solves and 1.93 seconds. Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000 Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3838 but bound is 1000000.0000 Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.9776 but bound is 1000000.0000 Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223878.3883 but bound is 1000000.0000 Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223877.9590 but bound is 1000000.0000 Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000 Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000 Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000 Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000 Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000 Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000 Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884891.6332 but bound is 700000.0000 Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.6195 but bound is 700000.0000 Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000 Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000 SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+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. SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+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. SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (3.4e+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. SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+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. SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+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. SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (3.4e+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. SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+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. SP is not converging! Last GP iteration had a higher cost (4.3e+03) than the previous one (4.3e+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. Beginning signomial solve. Using solver 'mosek' Solving for 20 variables. Solving took 0.025 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.078 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.188 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.187 seconds. Solving took 4 GP solves and 0.486 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.569 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.113 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.103 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.107 seconds. Solving took 4 GP solves and 0.911 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 25.514s OK Generating XML reports... Cloning into 'eVTOL'... Checking out files: 97% (94/96) Checking out files: 98% (95/96) Checking out files: 100% (96/96) Checking out files: 100% (96/96), done. adding test for 'aircraft_models.py' Running tests... ---------------------------------------------------------------------- .. ---------------------------------------------------------------------- Ran 2 tests in 1.277s OK Generating XML reports... hese errors. The 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(<type 'str'>, {}) calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git'] attempt 1 SETTINGS defaultdict(<type 'str'>, {'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(<type 'str'>, {'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(<type 'str'>, {'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(<type 'str'>, {'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(<type 'str'>, {'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(<type 'str'>, {'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(<type 'str'>, {}) ---------------------------------------------------------------------- Ran 240 tests in 43.677s 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