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Started by upstream project "gplibrary_Push_Models" build number 176 originally caused by: Started by upstream project "gpkit_Push" build number 644 originally caused by: Started by GitHub push by bqpd 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 33d3b1f3cc79228af969bf35c025c1e4518c5e84 (origin/master) > C:\Program Files\Git\cmd\git config core.sparsecheckout # timeout=10 > C:\Program Files\Git\cmd\git checkout -f 33d3b1f3cc79228af969bf35c025c1e4518c5e84 # timeout=3 Commit message: "update summing_constraintset for VarKey lineages" > C:\Program Files\Git\cmd\git rev-list --no-walk 33d3b1f3cc79228af969bf35c025c1e4518c5e84 # 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\jenkins6717685271337225084.bat C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>echo C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM turn on the anaconda console C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>call activate.bat || exit /b 666 (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Create a virtualenv to install everything into (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>SET VENV=C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>virtualenv --system-site-packages C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit || exit /b 666 New python executable in C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts\python.exe Installing setuptools, pip, wheel...done. (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>call C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts\activate.bat || exit /b 666 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>set PATH=C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts;C:\Anaconda2;C:\Anaconda2\Library\mingw-w64\bin;C:\Anaconda2\Library\usr\bin;C:\Anaconda2\Library\bin;C:\Anaconda2\Scripts;C:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM set PATH=C:\mingw-w64\x86_64-7.3.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\mingw-w64\x86_64-6.4.0-posix-seh-rt_v5-rev0\mingw64\bin;C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\Scripts;C:\Anaconda2;C:\Anaconda2\Library\mingw-w64\bin;C:\Anaconda2\Library\usr\bin;C:\Anaconda2\Library\bin;C:\Anaconda2\Scripts;C:\Anaconda2\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>gcc --version gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 6.4.0 Copyright (C) 2017 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Update pip (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -m pip install --upgrade pip DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already up-to-date: pip in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (19.1.1) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Install dependencies (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade xmlrunner DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already up-to-date: xmlrunner in c:\anaconda2\lib\site-packages (1.7.7) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade pint DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already up-to-date: pint in c:\anaconda2\lib\site-packages (0.9) Requirement already satisfied, skipping upgrade: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint) (1.0.2) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade numpy DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already up-to-date: numpy in c:\anaconda2\lib\site-packages (1.16.4) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade scipy DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. 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. Requirement already up-to-date: ctypesgen in c:\anaconda2\lib\site-packages (0.post125) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade pandas DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already up-to-date: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied, skipping upgrade: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied, skipping upgrade: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied, skipping upgrade: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied, skipping upgrade: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install --upgrade matplotlib DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already up-to-date: matplotlib in c:\anaconda2\lib\site-packages (2.2.4) Requirement already satisfied, skipping upgrade: backports.functools-lru-cache in c:\anaconda2\lib\site-packages (from matplotlib) (1.4) Requirement already satisfied, skipping upgrade: six>=1.10 in c:\anaconda2\lib\site-packages (from matplotlib) (1.11.0) Requirement already satisfied, skipping upgrade: pytz in c:\anaconda2\lib\site-packages (from matplotlib) (2017.3) Requirement already satisfied, skipping upgrade: cycler>=0.10 in c:\anaconda2\lib\site-packages (from matplotlib) (0.10.0) Requirement already satisfied, skipping upgrade: kiwisolver>=1.0.1 in c:\anaconda2\lib\site-packages (from matplotlib) (1.0.1) Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in c:\anaconda2\lib\site-packages (from matplotlib) (2.6.1) Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\anaconda2\lib\site-packages (from matplotlib) (2.2.0) Requirement already satisfied, skipping upgrade: numpy>=1.7.1 in c:\anaconda2\lib\site-packages (from matplotlib) (1.16.4) Requirement already satisfied, skipping upgrade: setuptools in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from kiwisolver>=1.0.1->matplotlib) (41.0.1) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == mosek msktestlic || exit /b 666 Problem Name : Objective sense : min Type : LO (linear optimization problem) Constraints : 1 Cones : 0 Scalar variables : 5000 Matrix variables : 0 Integer variables : 0 Optimizer started. Mosek license manager: License path: C:\Users\jenkins\mosek\mosek.lic Mosek license manager: Checkout license feature 'PTS' from flexlm. Mosek license manager: Checkout time 0.02. r: 0 status: 0 Interior-point optimizer started. Presolve started. Eliminator started. Freed constraints in eliminator : 0 Eliminator terminated. Eliminator - tries : 1 time : 0.00 Lin. dep. - tries : 0 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.00 Interior-point optimizer terminated. Time: 0.00. Optimizer terminated. Time: 0.09 ************************************ A license was checked out correctly. ************************************ (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>SET GPKITBUILD=C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\build_gpkit (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>gcc --version || exit /b 666 gcc (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 6.4.0 Copyright (C) 2017 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == mosek ( msktestlic || exit /b 666 python -c "__import__('mosek').Env()" || exit /b 666 set GPKITSOLVERS=mosek, mosek_cli ) Problem Name : Objective sense : min Type : LO (linear optimization problem) Constraints : 1 Cones : 0 Scalar variables : 5000 Matrix variables : 0 Integer variables : 0 Optimizer started. Mosek license manager: License path: C:\Users\jenkins\mosek\mosek.lic Mosek license manager: Checkout license feature 'PTS' from flexlm. Mosek license manager: Checkout time 0.00. r: 0 status: 0 Interior-point optimizer started. Presolve started. Eliminator started. Freed constraints in eliminator : 0 Eliminator terminated. Eliminator - tries : 1 time : 0.00 Lin. dep. - tries : 0 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Interior-point optimizer terminated. Time: 0.01. Optimizer terminated. Time: 0.13 ************************************ A license was checked out correctly. ************************************ (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>if mosek == cvxopt ( pip install --upgrade cvxopt || exit /b 666 set GPKITSOLVERS=cvxopt ) (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import scipy; print scipy.__version__" || exit /b 666 1.2.2 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import numpy; print numpy.__version__" || exit /b 666 1.16.4 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>python -c "import pint; print pint.__version__" || exit /b 666 0.9 (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>REM Install gpkit to run the documentation examples (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>git clone --depth 1 https://github.com/convexengineering/gpkit.git || exit /b 666 Cloning into 'gpkit'... (venv2_gpkit) (base) C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek>pip install -e C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\gpkit || exit /b 666 DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Obtaining file:///C:/Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit Requirement already satisfied: numpy>=1.12.1 in c:\anaconda2\lib\site-packages (from gpkit==0.9.0.1) (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. 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 (['mosek', 'mosek_cli', 'cvxopt']) with environment var GPKITSOLVERS (mosek, mosek_cli) Found the following solvers: mosek, mosek_cli # Replacing directory env GPkit is now installed with solver(s) ['mosek', 'mosek_cli'] To incorporate new solvers at a later date, run `gpkit.build()`. If any tests didn't pass, please post the output above (starting from "Found no installed solvers, beginning a build.") to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new so we can prevent others from having these errors. TCloning into 'gplibrary'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Obtaining file:///C:/Users/jenkins/workspace/gplibrary_Push_Models/mosek/gplibrary Installing collected packages: gpkitmodels Found existing installation: gpkitmodels 0.0.0.0 Uninstalling gpkitmodels-0.0.0.0: Successfully uninstalled gpkitmodels-0.0.0.0 Running setup.py develop for gpkitmodels Successfully installed gpkitmodels Cloning into 'shopping'... adding test for 'test.py' Using solver 'mosek' Solving for 25 variables. Solving took 0.03 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.021 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.09 seconds. Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 0.376s OK Generating XML reports... Cloning into 'gassolar'... 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DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-vpzkot Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-vpzkot' 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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-eohprz\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f Successfully built gpfit Installing collected packages: gpfit Successfully installed gpfit-0.1 DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\gassolar Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from gassolar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-pgxsrj\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 0.176 seconds. Warning: Variable [gpkit.Monomial(P_{shaft-max}_Mission/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total} 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 1.5 seconds. Warning: Variable [gpkit.Monomial(P_{shaft-max}_Mission.1/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{tota 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 0.245 seconds. Warning: Variable [gpkit.Monomial(P_{shaft-max}_Mission/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total} 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 1.63 seconds. Warning: Variable [gpkit.Monomial(P_{shaft-max}_Mission.1/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{tota 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 0.412 seconds. Warning: Variable Re_Mission/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.3538 but bound is 150000.0000 Warning: Variable Re_Mission/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.3827 but bound is 150000.0000 Beginning signomial solve. Solving took 4 GP solves and 3.09 seconds. Warning: Variable Re_Mission.1/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103379.4232 but bound is 150000.0000 Warning: Variable Re_Mission.1/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.0840 but bound is 150000.0000 Using solver 'mosek_cli' Solving for 1250 variables. Solving took 0.479 seconds. Warning: Variable Re_Mission/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000 Warning: Variable Re_Mission/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000 Beginning signomial solve. Solving took 4 GP solves and 3.22 seconds. Warning: Variable Re_Mission.1/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000 Warning: Variable Re_Mission.1/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000 Running tests... ---------------------------------------------------------------------- c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ..C:\Users\jenkins\workspace\gplibrary_Push_Models\mosek\venv2_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) .. ---------------------------------------------------------------------- Ran 4 tests in 32.848s OK Generating XML reports... Cloning into 'jho'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-2jplar Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-2jplar' 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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-dyjzbg\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 -1.278469517751457e-13. Solving took 4 GP solves and 3.09 seconds. Beginning signomial solve. Allowing negative dual variable(s) as small as -1.27605e-13. Solving took 4 GP solves and 2.94 seconds. Allowing negative dual variable(s) as small as -2.9392027006691634e-13. Allowing negative dual variable(s) as small as -1.196142767083061e-12. MTOW [lbs] = 141.77 Zero fuel weight [lbs] = 53.80 Wing span [ft] = 24.00 Aicraft length [ft] = 12.90 Aspect ratio = 25.60 mean aerodynamic chord [ft] = 0.9722 root chord [ft] = 1.250 speed for best rate of climb [m/s]: Vy = 21.829 speed at top of climb [m/s] = 26.626 design loiter speed [m/s] = 25.071 rotation speed at 55 lbs [m/s] = 18.185 rotation speed at 150 lbs [m/s] = 28.236 Allowing negative dual variable(s) as small as -1.1967426832501515e-12. optimum loiter speed for min power, start of loiter [m/s] = 25.356 optimum loiter speed for min power, end of loiter [m/s] = 25.000 optimum cruise speed, inbound [m/s] = 36.421 optimum cruise speed, outbound [m/s] = 25.637 Beginning signomial solve. Allowing negative dual variable(s) as small as -7.1713073676163295e-12. Solving took 4 GP solves and 2.46 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 1.57 seconds. Max payload weight [lbf] = 28.242 Max take off weight [lbf] = 166.638 Allowing negative dual variable(s) as small as -2.910458e-13. Allowing negative dual variable(s) as small as -1.196572e-12. MTOW [lbs] = 141.77 Zero fuel weight [lbs] = 53.80 Wing span [ft] = 24.00 Aicraft length [ft] = 12.90 Aspect ratio = 25.60 mean aerodynamic chord [ft] = 0.9722 root chord [ft] = 1.250 speed for best rate of climb [m/s]: Vy = 21.829 speed at top of climb [m/s] = 26.626 design loiter speed [m/s] = 25.071 rotation speed at 55 lbs [m/s] = 18.185 rotation speed at 150 lbs [m/s] = 28.236 Allowing negative dual variable(s) as small as -1.196133e-12. optimum loiter speed for min power, start of loiter [m/s] = 25.356 optimum loiter speed for min power, end of loiter [m/s] = 25.000 optimum cruise speed, inbound [m/s] = 36.421 optimum cruise speed, outbound [m/s] = 25.637 Beginning signomial solve. Allowing negative dual variable(s) as small as -7.171173e-12. Solving took 4 GP solves and 2.56 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 2.43 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 42.737s OK Generating XML reports... Cloning into 'turbofan'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\turbofan Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan==0.0.0.0) (1.0.2) Building wheels for collected packages: turbofan Building wheel for turbofan (setup.py): started Building wheel for turbofan (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-ea0iqf\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 0.149 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.129 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.084 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.102 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.337 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.384 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.249 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.077 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.125 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.127 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.125 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.134 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.132 seconds. Using solver 'mosek' Solving for 337 variables. Solving took 0.132 seconds. Solving took 14 GP solves and 3.26 seconds. Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 3.907s OK Generating XML reports... Cloning into 'SPaircraft'... 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DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/hoburg/turbofan.git Cloning https://github.com/hoburg/turbofan.git to c:\users\jenkins\appdata\local\temp\pip-req-build-tzusks Running command git clone -q https://github.com/hoburg/turbofan.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-tzusks' 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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-qwhknw\wheels\49\e6\3a\5de0d21c0f148404ea8d883f76e050c82d4e9a0e6f59ce69a5 Successfully built turbofan DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\spaircraft Requirement already satisfied: turbofan in c:\users\jenkins\workspace\gplibrary_push_models\mosek\venv2_gpkit\lib\site-packages (from SPaircraft==0.0.0) (0.0.0.0) Requirement already satisfied: gpkit in c:\users\jenkins\workspace\gplibrary_push_models\mosek\gpkit (from SPaircraft==0.0.0) (0.9.0.1) Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from turbofan->SPaircraft==0.0.0) (0.9) Requirement already satisfied: ad in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.3) Requirement already satisfied: six in c:\anaconda2\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.11.0) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->turbofan->SPaircraft==0.0.0) (1.0.2) Requirement already satisfied: mkl in c:\anaconda2\lib\site-packages (from cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0) Requirement already satisfied: intel-openmp==2018.0.0 in c:\anaconda2\lib\site-packages (from mkl->cvxopt>=1.1.8->gpkit->SPaircraft==0.0.0) (2018.0.0) Building wheels for collected packages: SPaircraft Building wheel for SPaircraft (setup.py): started Building wheel for SPaircraft (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-gtums1\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 : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.03 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 881 Optimizer - Cones : 0 Optimizer - Scalar variables : 3478 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.18e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.233032920e+005 2.000000000e+000 1.0e+000 0.09 1 1.6e+003 2.2e+003 8.6e+004 -9.71e-001 -1.224709417e+005 2.764230747e+000 7.0e-001 0.11 2 8.4e+002 1.2e+003 4.6e+004 -9.58e-001 -1.200714363e+005 5.009522817e+000 3.7e-001 0.14 3 2.9e+002 4.0e+002 1.6e+004 -9.18e-001 -1.112872896e+005 2.124931215e+001 1.3e-001 0.16 4 2.9e+002 4.0e+002 1.6e+004 -7.71e-001 -1.090369557e+005 1.976947731e+003 1.3e-001 0.17 5 1.2e+002 1.6e+002 6.3e+003 -7.60e-001 -8.648022220e+004 6.541684011e+003 5.1e-002 0.19 6 4.0e+001 5.4e+001 2.1e+003 -4.30e-001 -4.765207683e+004 1.080051874e+004 1.8e-002 0.20 7 2.2e+001 3.0e+001 1.2e+003 2.19e-001 -3.067060595e+004 7.299786119e+003 9.8e-003 0.23 8 9.9e+000 1.4e+001 5.4e+002 5.34e-001 -1.472517626e+004 4.455731561e+003 4.4e-003 0.25 9 5.4e+000 7.4e+000 2.9e+002 8.16e-001 -8.053712267e+003 2.787781756e+003 2.4e-003 0.27 10 1.2e+000 1.6e+000 6.3e+001 9.17e-001 -1.508438394e+003 8.981622637e+002 5.2e-004 0.28 11 6.1e-001 8.4e-001 3.4e+001 1.00e+000 -6.339912656e+002 6.531810032e+002 2.8e-004 0.31 12 4.9e-001 6.8e-001 2.7e+001 9.93e-001 -4.533336171e+002 5.830940449e+002 2.3e-004 0.34 13 3.3e-001 6.0e-001 1.8e+001 9.79e-001 -2.239662852e+002 4.876999101e+002 1.5e-004 0.38 14 1.4e-001 2.7e-001 7.8e+000 9.96e-001 7.295769968e+001 3.717040707e+002 6.5e-005 0.41 15 4.2e-002 1.4e-001 2.4e+000 9.95e-001 2.142009253e+002 3.074298643e+002 2.1e-005 0.42 16 2.3e-002 1.2e-001 1.3e+000 1.00e+000 2.435809758e+002 2.940760240e+002 1.1e-005 0.45 17 2.3e-003 2.3e-001 1.5e-001 1.00e+000 2.751052051e+002 2.808986195e+002 1.4e-006 0.47 18 8.1e-004 1.4e-001 5.4e-002 1.00e+000 2.777857244e+002 2.798763647e+002 5.0e-007 0.48 19 4.1e-004 9.5e-002 2.8e-002 1.00e+000 2.785375368e+002 2.795993200e+002 2.6e-007 0.52 20 1.8e-004 8.1e-002 1.2e-002 1.00e+000 2.789800727e+002 2.794484838e+002 1.1e-007 0.53 21 1.6e-004 7.4e-002 1.1e-002 1.00e+000 2.790164464e+002 2.794381036e+002 1.0e-007 0.56 22 1.5e-004 6.7e-002 9.9e-003 1.00e+000 2.790478821e+002 2.794273462e+002 9.2e-008 0.58 23 1.3e-004 6.1e-002 8.9e-003 1.00e+000 2.790760797e+002 2.794175811e+002 8.3e-008 0.61 24 1.2e-004 5.6e-002 8.0e-003 1.00e+000 2.791014606e+002 2.794087983e+002 7.4e-008 0.63 25 1.1e-004 5.1e-002 7.2e-003 1.00e+000 2.791243014e+002 2.794008941e+002 6.7e-008 0.66 26 9.6e-005 4.7e-002 6.5e-003 1.00e+000 2.791448574e+002 2.793937815e+002 6.0e-008 0.67 27 8.7e-005 4.3e-002 5.8e-003 1.00e+000 2.791633574e+002 2.793873815e+002 5.4e-008 0.72 28 7.8e-005 3.9e-002 5.3e-003 1.00e+000 2.791800072e+002 2.793816226e+002 4.9e-008 0.73 29 7.0e-005 3.6e-002 4.7e-003 1.00e+000 2.791949920e+002 2.793764406e+002 4.4e-008 0.77 30 6.3e-005 3.3e-002 4.3e-003 1.00e+000 2.792084781e+002 2.793717776e+002 4.0e-008 0.78 31 5.7e-005 3.1e-002 3.8e-003 1.00e+000 2.792206154e+002 2.793675816e+002 3.6e-008 0.81 32 5.1e-005 2.8e-002 3.4e-003 1.00e+000 2.792315388e+002 2.793638055e+002 3.2e-008 0.83 33 4.6e-005 2.6e-002 3.1e-003 1.00e+000 2.792413695e+002 2.793604072e+002 2.9e-008 0.86 34 4.1e-005 2.4e-002 2.8e-003 1.00e+000 2.792502168e+002 2.793573489e+002 2.6e-008 0.88 35 3.7e-005 2.3e-002 2.5e-003 1.00e+000 2.792581790e+002 2.793545964e+002 2.3e-008 0.89 36 3.4e-005 2.1e-002 2.3e-003 1.00e+000 2.792653446e+002 2.793521191e+002 2.1e-008 0.92 37 3.0e-005 2.0e-002 2.0e-003 1.00e+000 2.792717933e+002 2.793498894e+002 1.9e-008 0.94 38 2.7e-005 1.9e-002 1.8e-003 1.00e+000 2.792775967e+002 2.793478824e+002 1.7e-008 0.95 39 2.4e-005 1.7e-002 1.7e-003 1.00e+000 2.792828193e+002 2.793460758e+002 1.5e-008 0.98 40 2.2e-005 1.7e-002 1.5e-003 1.00e+000 2.792875193e+002 2.793444497e+002 1.4e-008 1.00 41 2.0e-005 1.6e-002 1.3e-003 1.00e+000 2.792917489e+002 2.793429858e+002 1.2e-008 1.02 42 1.8e-005 1.5e-002 1.2e-003 1.00e+000 2.792955551e+002 2.793416680e+002 1.1e-008 1.05 43 1.6e-005 1.4e-002 1.1e-003 1.00e+000 2.792989802e+002 2.793404816e+002 1.0e-008 1.06 44 1.4e-005 1.3e-002 9.7e-004 1.00e+000 2.793020624e+002 2.793394134e+002 9.1e-009 1.08 45 1.3e-005 1.3e-002 8.8e-004 1.00e+000 2.793048360e+002 2.793384518e+002 8.2e-009 1.09 46 1.2e-005 1.2e-002 7.9e-004 1.00e+000 2.793073318e+002 2.793375859e+002 7.3e-009 1.11 47 1.1e-005 1.2e-002 7.1e-004 1.00e+000 2.793095777e+002 2.793368062e+002 6.6e-009 1.13 48 9.5e-006 1.1e-002 6.4e-004 1.00e+000 2.793115985e+002 2.793361041e+002 5.9e-009 1.16 49 8.5e-006 1.1e-002 5.8e-004 1.00e+000 2.793134169e+002 2.793354719e+002 5.3e-009 1.17 50 7.7e-006 1.1e-002 5.2e-004 1.00e+000 2.793150532e+002 2.793349026e+002 4.8e-009 1.19 51 6.9e-006 1.0e-002 4.7e-004 1.00e+000 2.793165254e+002 2.793343899e+002 4.3e-009 1.22 52 6.2e-006 1.0e-002 4.2e-004 1.00e+000 2.793178502e+002 2.793339282e+002 3.9e-009 1.25 53 5.6e-006 9.9e-003 3.8e-004 1.00e+000 2.793190422e+002 2.793335124e+002 3.5e-009 1.28 54 5.0e-006 9.6e-003 3.4e-004 1.00e+000 2.793201147e+002 2.793331379e+002 3.2e-009 1.31 55 4.5e-006 9.4e-003 3.1e-004 1.00e+000 2.793210798e+002 2.793328007e+002 2.8e-009 1.33 56 4.1e-006 9.2e-003 2.8e-004 1.00e+000 2.793219482e+002 2.793324969e+002 2.6e-009 1.36 57 3.7e-006 9.1e-003 2.5e-004 1.00e+000 2.793227296e+002 2.793322234e+002 2.3e-009 1.39 58 3.3e-006 8.9e-003 2.2e-004 1.00e+000 2.793234327e+002 2.793319772e+002 2.1e-009 1.41 59 3.0e-006 8.8e-003 2.0e-004 1.00e+000 2.793240654e+002 2.793317554e+002 1.9e-009 1.44 60 2.7e-006 8.7e-003 1.8e-004 1.00e+000 2.793246347e+002 2.793315557e+002 1.7e-009 1.47 61 2.4e-006 8.6e-003 1.6e-004 1.00e+000 2.793251469e+002 2.793313759e+002 1.5e-009 1.52 62 2.2e-006 8.5e-003 1.5e-004 1.00e+000 2.793256079e+002 2.793312140e+002 1.4e-009 1.55 63 2.0e-006 8.4e-003 1.3e-004 1.00e+000 2.793260227e+002 2.793310682e+002 1.2e-009 1.59 64 1.8e-006 8.3e-003 1.2e-004 1.00e+000 2.793263960e+002 2.793309369e+002 1.1e-009 1.63 65 1.9e-007 8.7e-004 1.3e-005 1.00e+000 2.793293973e+002 2.793298785e+002 1.2e-010 1.67 66 1.0e-008 4.8e-005 7.0e-007 1.00e+000 2.793297328e+002 2.793297598e+002 6.5e-012 1.70 67 5.6e-010 2.6e-006 3.9e-008 1.00e+000 2.793297516e+002 2.793297531e+002 3.6e-013 1.73 Interior-point optimizer terminated. Time: 1.73. Optimizer terminated. Time: 1.75 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 2.7932975158e+002 nrm: 4e+001 Viol. con: 9e-009 var: 0e+000 Dual. obj: 2.7932975307e+002 nrm: 8e+002 Viol. con: 0e+000 var: 2e-005 * End solution on dual form. * Transforming to primal solution. Solving took 1.8 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.03 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.06 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.06 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.231873372e+005 2.000000000e+000 1.0e+000 0.11 1 1.6e+003 2.2e+003 8.7e+004 -9.71e-001 -1.223638951e+005 2.766912882e+000 7.0e-001 0.16 2 8.0e+002 1.1e+003 4.3e+004 -9.58e-001 -1.196740915e+005 5.301551389e+000 3.5e-001 0.19 3 2.9e+002 4.0e+002 1.6e+004 -9.13e-001 -1.111516746e+005 2.218931584e+001 1.3e-001 0.23 4 2.9e+002 4.0e+002 1.6e+004 -7.70e-001 -1.092035519e+005 1.717394225e+003 1.3e-001 0.27 5 1.2e+002 1.7e+002 6.5e+003 -7.61e-001 -8.772944669e+004 6.306505913e+003 5.4e-002 0.30 6 4.0e+001 5.5e+001 2.2e+003 -4.50e-001 -4.778021835e+004 1.098814932e+004 1.8e-002 0.33 7 2.0e+001 2.8e+001 1.1e+003 2.17e-001 -2.853397246e+004 6.665071126e+003 8.9e-003 0.36 8 8.9e+000 1.2e+001 4.8e+002 5.73e-001 -1.337608992e+004 3.919288173e+003 3.9e-003 0.41 9 4.3e+000 5.9e+000 2.3e+002 8.40e-001 -6.465163901e+003 2.294862946e+003 1.9e-003 0.44 10 2.7e+000 3.6e+000 1.4e+002 9.44e-001 -3.879168212e+003 1.552840243e+003 1.2e-003 0.47 11 1.5e+000 2.0e+000 7.9e+001 9.70e-001 -1.992674752e+003 9.981566185e+002 6.5e-004 0.48 12 1.1e+000 1.5e+000 5.7e+001 9.72e-001 -1.408483286e+003 7.888205476e+002 4.7e-004 0.52 13 3.8e-001 5.9e-001 2.1e+001 9.89e-001 -3.990700558e+002 4.037993160e+002 1.7e-004 0.55 14 2.4e-001 3.8e-001 1.3e+001 1.00e+000 -1.584620581e+002 3.408742264e+002 1.1e-004 0.58 15 6.1e-002 1.7e-001 3.5e+000 1.00e+000 9.811294478e+001 2.310151219e+002 2.9e-005 0.59 16 3.5e-002 1.2e-001 2.0e+000 1.01e+000 1.363975839e+002 2.135795478e+002 1.7e-005 0.63 17 1.6e-002 9.7e-002 9.1e-001 1.01e+000 1.664643592e+002 2.011248489e+002 7.8e-006 0.66 18 2.9e-003 1.6e-001 1.8e-001 1.01e+000 1.863163230e+002 1.930691839e+002 1.6e-006 0.70 19 1.3e-003 1.1e-001 7.8e-002 1.01e+000 1.890536907e+002 1.920005595e+002 6.9e-007 0.73 20 4.9e-004 9.4e-002 3.1e-002 1.01e+000 1.903307553e+002 1.914874147e+002 2.7e-007 0.77 21 1.8e-004 9.3e-002 1.1e-002 1.00e+000 1.908514530e+002 1.912779210e+002 1.0e-007 0.81 22 8.2e-005 8.0e-002 5.2e-003 1.00e+000 1.910154969e+002 1.912107649e+002 4.7e-008 0.84 23 7.4e-005 7.3e-002 4.7e-003 1.00e+000 1.910304127e+002 1.912061696e+002 4.2e-008 0.88 24 6.7e-005 6.6e-002 4.2e-003 1.00e+000 1.910427415e+002 1.912009113e+002 3.8e-008 0.92 25 6.0e-005 6.0e-002 3.8e-003 1.00e+000 1.910539001e+002 1.911962454e+002 3.4e-008 0.95 26 5.4e-005 5.5e-002 3.4e-003 1.00e+000 1.910639300e+002 1.911920346e+002 3.1e-008 0.98 27 4.9e-005 5.0e-002 3.1e-003 1.00e+000 1.910729517e+002 1.911882406e+002 2.7e-008 1.03 28 4.4e-005 4.6e-002 2.7e-003 1.00e+000 1.910810662e+002 1.911848221e+002 2.5e-008 1.06 29 3.9e-005 4.2e-002 2.5e-003 1.00e+000 1.910883654e+002 1.911817422e+002 2.2e-008 1.09 30 3.5e-005 3.9e-002 2.2e-003 1.00e+000 1.910949313e+002 1.911789677e+002 2.0e-008 1.13 31 3.2e-005 3.6e-002 2.0e-003 1.00e+000 1.911008380e+002 1.911764686e+002 1.8e-008 1.17 32 2.9e-005 3.3e-002 1.8e-003 1.00e+000 1.911061519e+002 1.911742176e+002 1.6e-008 1.20 33 2.6e-005 3.0e-002 1.6e-003 1.00e+000 1.911109327e+002 1.911721903e+002 1.5e-008 1.23 34 2.3e-005 2.8e-002 1.5e-003 1.00e+000 1.911152340e+002 1.911703647e+002 1.3e-008 1.26 35 2.1e-005 2.6e-002 1.3e-003 1.00e+000 1.911191040e+002 1.911687206e+002 1.2e-008 1.30 36 1.9e-005 2.4e-002 1.2e-003 1.00e+000 1.911225860e+002 1.911672402e+002 1.1e-008 1.33 37 1.7e-005 2.3e-002 1.1e-003 1.00e+000 1.911257190e+002 1.911659072e+002 9.6e-009 1.36 38 1.5e-005 2.1e-002 9.6e-004 1.00e+000 1.911285381e+002 1.911647070e+002 8.6e-009 1.39 39 1.4e-005 2.0e-002 8.6e-004 1.00e+000 1.911310746e+002 1.911636263e+002 7.8e-009 1.42 40 1.2e-005 1.9e-002 7.8e-004 1.00e+000 1.911333570e+002 1.911626532e+002 7.0e-009 1.45 41 1.1e-005 1.7e-002 7.0e-004 1.00e+000 1.911354108e+002 1.911617771e+002 6.3e-009 1.48 42 1.0e-005 1.6e-002 6.3e-004 1.00e+000 1.911372588e+002 1.911609883e+002 5.7e-009 1.51 43 9.0e-006 1.6e-002 5.7e-004 1.00e+000 1.911389217e+002 1.911602781e+002 5.1e-009 1.55 44 8.1e-006 1.5e-002 5.1e-004 1.00e+000 1.911404180e+002 1.911596387e+002 4.6e-009 1.59 45 7.3e-006 1.4e-002 4.6e-004 1.00e+000 1.911417645e+002 1.911590630e+002 4.1e-009 1.63 46 6.6e-006 1.3e-002 4.1e-004 1.00e+000 1.911429761e+002 1.911585447e+002 3.7e-009 1.66 47 5.9e-006 1.3e-002 3.7e-004 1.00e+000 1.911440664e+002 1.911580781e+002 3.3e-009 1.69 48 5.3e-006 1.2e-002 3.3e-004 1.00e+000 1.911450474e+002 1.911576579e+002 3.0e-009 1.72 49 4.8e-006 1.2e-002 3.0e-004 1.00e+000 1.911459303e+002 1.911572797e+002 2.7e-009 1.75 50 4.3e-006 1.1e-002 2.7e-004 1.00e+000 1.911467247e+002 1.911569391e+002 2.4e-009 1.78 51 3.9e-006 1.1e-002 2.4e-004 1.00e+000 1.911474395e+002 1.911566326e+002 2.2e-009 1.81 52 3.5e-006 1.1e-002 2.2e-004 1.00e+000 1.911480828e+002 1.911563565e+002 2.0e-009 1.84 53 3.1e-006 1.0e-002 2.0e-004 1.00e+000 1.911486617e+002 1.911561080e+002 1.8e-009 1.89 54 2.8e-006 1.0e-002 1.8e-004 1.00e+000 1.911491826e+002 1.911558843e+002 1.6e-009 1.92 55 2.5e-006 9.9e-003 1.6e-004 1.00e+000 1.911496514e+002 1.911556829e+002 1.4e-009 1.95 56 2.3e-006 9.6e-003 1.4e-004 1.00e+000 1.911500732e+002 1.911555016e+002 1.3e-009 1.98 57 2.1e-006 9.4e-003 1.3e-004 1.00e+000 1.911504528e+002 1.911553383e+002 1.2e-009 2.02 58 1.9e-006 9.2e-003 1.2e-004 1.00e+000 1.911507944e+002 1.911551914e+002 1.0e-009 2.03 59 1.7e-006 9.1e-003 1.0e-004 1.00e+000 1.911511018e+002 1.911550591e+002 9.4e-010 2.06 60 1.5e-006 8.9e-003 9.4e-005 1.00e+000 1.911513784e+002 1.911549400e+002 8.5e-010 2.09 61 1.3e-006 8.8e-003 8.5e-005 1.00e+000 1.911516273e+002 1.911548328e+002 7.7e-010 2.13 62 1.2e-006 8.7e-003 7.6e-005 1.00e+000 1.911518513e+002 1.911547362e+002 6.9e-010 2.14 63 1.1e-006 8.5e-003 6.9e-005 1.00e+000 1.911520529e+002 1.911546493e+002 6.2e-010 2.17 64 9.8e-007 8.4e-003 6.2e-005 1.00e+000 1.911522343e+002 1.911545711e+002 5.6e-010 2.19 65 8.9e-007 8.3e-003 5.6e-005 1.00e+000 1.911523976e+002 1.911545007e+002 5.0e-010 2.22 66 8.0e-007 8.3e-003 5.0e-005 1.00e+000 1.911525445e+002 1.911544373e+002 4.5e-010 2.23 67 7.2e-007 8.2e-003 4.5e-005 1.00e+000 1.911526767e+002 1.911543802e+002 4.1e-010 2.27 68 6.5e-007 8.1e-003 4.1e-005 1.00e+000 1.911527956e+002 1.911543288e+002 3.7e-010 2.30 69 5.8e-007 8.0e-003 3.7e-005 1.00e+000 1.911529027e+002 1.911542826e+002 3.3e-010 2.31 70 5.2e-007 8.0e-003 3.3e-005 1.00e+000 1.911529990e+002 1.911542409e+002 3.0e-010 2.34 71 4.7e-007 7.9e-003 3.0e-005 1.00e+000 1.911530857e+002 1.911542035e+002 2.7e-010 2.36 72 4.2e-007 7.9e-003 2.7e-005 1.00e+000 1.911531637e+002 1.911541697e+002 2.4e-010 2.39 73 3.8e-007 7.8e-003 2.4e-005 1.00e+000 1.911532340e+002 1.911541393e+002 2.2e-010 2.41 74 3.4e-007 7.8e-003 2.2e-005 1.00e+000 1.911532971e+002 1.911541120e+002 1.9e-010 2.44 75 3.1e-007 7.7e-003 1.9e-005 1.00e+000 1.911533540e+002 1.911540874e+002 1.8e-010 2.47 76 2.8e-007 7.7e-003 1.8e-005 1.00e+000 1.911534052e+002 1.911540652e+002 1.6e-010 2.48 77 2.5e-007 7.7e-003 1.6e-005 1.00e+000 1.911534512e+002 1.911540453e+002 1.4e-010 2.52 78 2.3e-007 7.6e-003 1.4e-005 1.00e+000 1.911534926e+002 1.911540273e+002 1.3e-010 2.53 79 2.0e-007 7.6e-003 1.3e-005 1.00e+000 1.911535299e+002 1.911540112e+002 1.1e-010 2.56 80 1.8e-007 7.6e-003 1.1e-005 1.00e+000 1.911535635e+002 1.911539966e+002 1.0e-010 2.59 81 1.6e-007 7.5e-003 1.0e-005 9.99e-001 1.911535937e+002 1.911539836e+002 9.3e-011 2.64 82 1.5e-007 7.5e-003 9.3e-006 1.00e+000 1.911536209e+002 1.911539718e+002 8.4e-011 2.66 83 1.3e-007 7.5e-003 8.4e-006 1.00e+000 1.911536454e+002 1.911539611e+002 7.5e-011 2.69 84 1.2e-007 7.5e-003 7.5e-006 1.00e+000 1.911536674e+002 1.911539516e+002 6.8e-011 2.73 85 1.1e-007 6.7e-003 6.8e-006 1.01e+000 1.911536876e+002 1.911539428e+002 6.1e-011 2.77 86 9.7e-008 6.1e-003 6.1e-006 9.99e-001 1.911537054e+002 1.911539349e+002 5.5e-011 2.81 87 8.7e-008 5.4e-003 5.5e-006 9.88e-001 1.911537214e+002 1.911539279e+002 5.0e-011 2.84 88 7.9e-008 4.9e-003 4.9e-006 1.01e+000 1.911537362e+002 1.911539212e+002 4.5e-011 2.88 89 7.2e-008 4.4e-003 4.4e-006 1.01e+000 1.911537498e+002 1.911539152e+002 4.0e-011 2.91 90 6.5e-008 4.0e-003 4.0e-006 9.81e-001 1.911537614e+002 1.911539102e+002 3.6e-011 2.94 91 6.0e-008 3.6e-003 3.6e-006 9.95e-001 1.911537718e+002 1.911539056e+002 3.3e-011 2.98 92 5.3e-008 3.2e-003 3.2e-006 9.94e-001 1.911537811e+002 1.911539016e+002 2.9e-011 3.02 93 4.8e-008 2.9e-003 2.9e-006 1.02e+000 1.911537902e+002 1.911538977e+002 2.7e-011 3.05 94 8.4e-008 8.2e-004 8.3e-007 9.42e-001 1.911538431e+002 1.911538724e+002 6.8e-012 3.08 95 7.0e-008 7.4e-004 6.4e-007 1.00e+000 1.911538490e+002 1.911538717e+002 6.1e-012 3.11 96 1.3e-007 2.2e-004 1.9e-007 5.96e-001 1.911538597e+002 1.911538657e+002 1.1e-012 3.14 97 1.5e-007 2.2e-004 2.2e-007 1.00e+000 1.911538589e+002 1.911538657e+002 1.1e-012 3.17 98 1.5e-007 2.2e-004 2.2e-007 1.00e+000 1.911538589e+002 1.911538657e+002 1.1e-012 3.20 Interior-point optimizer terminated. Time: 3.20. Optimizer terminated. Time: 3.22 solsta = 8, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : NEAR_OPTIMAL Primal. obj: 1.9115385891e+002 nrm: 5e+001 Viol. con: 2e-006 var: 0e+000 Dual. obj: 1.9115386567e+002 nrm: 8e+002 Viol. con: 0e+000 var: 1e-003 * End solution on dual form. * Transforming to primal solution. Solving took 3.26 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.03 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.233104083e+005 2.000000000e+000 1.0e+000 0.08 1 1.6e+003 2.3e+003 8.9e+004 -9.71e-001 -1.225520057e+005 2.679732802e+000 7.2e-001 0.13 2 8.4e+002 1.1e+003 4.5e+004 -9.59e-001 -1.200445625e+005 4.945308913e+000 3.7e-001 0.16 3 2.9e+002 4.0e+002 1.6e+004 -9.17e-001 -1.113087278e+005 2.072829193e+001 1.3e-001 0.19 4 2.9e+002 4.0e+002 1.6e+004 -7.71e-001 -1.091098158e+005 1.937287435e+003 1.3e-001 0.22 5 1.3e+002 1.7e+002 6.8e+003 -7.61e-001 -8.906898784e+004 6.018066209e+003 5.6e-002 0.25 6 4.2e+001 5.8e+001 2.3e+003 -4.68e-001 -4.999723110e+004 1.075231400e+004 1.9e-002 0.28 7 2.5e+001 3.4e+001 1.3e+003 1.82e-001 -3.413599055e+004 7.322553555e+003 1.1e-002 0.31 8 1.1e+001 1.5e+001 6.1e+002 4.80e-001 -1.697189076e+004 4.486753813e+003 5.0e-003 0.34 9 6.1e+000 8.4e+000 3.3e+002 7.75e-001 -9.220305538e+003 2.998172506e+003 2.7e-003 0.38 10 2.2e+000 3.0e+000 1.2e+002 9.06e-001 -3.203800315e+003 1.286568795e+003 9.8e-004 0.41 11 9.9e-001 1.4e+000 5.4e+001 9.83e-001 -1.333591284e+003 7.164235516e+002 4.5e-004 0.44 12 8.1e-001 1.1e+000 4.4e+001 9.83e-001 -1.075685384e+003 6.210920879e+002 3.7e-004 0.47 13 5.5e-001 8.3e-001 3.0e+001 9.67e-001 -6.940754616e+002 4.765002435e+002 2.5e-004 0.52 14 2.3e-001 3.5e-001 1.3e+001 9.97e-001 -2.037570785e+002 2.916858942e+002 1.1e-004 0.55 15 1.5e-001 2.4e-001 8.6e+000 1.00e+000 -8.042835003e+001 2.491341820e+002 7.1e-005 0.58 16 6.7e-002 1.3e-001 3.7e+000 1.00e+000 5.191445737e+001 1.952228522e+002 3.1e-005 0.63 17 6.2e-002 1.2e-001 3.5e+000 1.02e+000 6.519975296e+001 1.996742653e+002 3.0e-005 0.66 18 1.9e-002 1.0e-001 1.1e+000 1.01e+000 1.352513561e+002 1.773816937e+002 9.3e-006 0.69 19 6.2e-003 1.8e-001 3.6e-001 1.02e+000 1.577999798e+002 1.714229969e+002 3.0e-006 0.72 20 2.7e-003 1.8e-001 1.6e-001 1.00e+000 1.629856172e+002 1.690317130e+002 1.4e-006 0.75 21 1.5e-003 1.4e-001 9.3e-002 1.00e+000 1.649831930e+002 1.684490102e+002 7.8e-007 0.78 22 6.2e-004 1.4e-001 3.8e-002 1.00e+000 1.665012116e+002 1.679077567e+002 3.2e-007 0.81 23 1.5e-004 1.4e-001 9.6e-003 1.00e+000 1.672479152e+002 1.676052764e+002 8.4e-008 0.84 24 4.2e-005 1.3e-001 2.7e-003 1.01e+000 1.674263634e+002 1.675283144e+002 2.4e-008 0.86 25 1.4e-005 1.1e-001 9.5e-004 1.00e+000 1.674730298e+002 1.675084068e+002 8.5e-009 0.89 26 4.4e-006 1.1e-001 2.9e-004 1.00e+000 1.674900281e+002 1.675008597e+002 2.6e-009 0.92 27 1.7e-006 9.4e-002 1.1e-004 1.00e+000 1.674946492e+002 1.674987961e+002 1.0e-009 0.95 28 6.7e-007 8.6e-002 4.5e-005 1.00e+000 1.674963631e+002 1.674980117e+002 4.0e-010 0.98 29 6.0e-007 7.9e-002 4.0e-005 1.00e+000 1.674964769e+002 1.674979606e+002 3.6e-010 1.02 30 5.4e-007 7.2e-002 3.6e-005 1.00e+000 1.674965782e+002 1.674979133e+002 3.2e-010 1.05 31 4.9e-007 6.5e-002 3.2e-005 1.00e+000 1.674966692e+002 1.674978708e+002 2.9e-010 1.08 32 4.4e-007 5.9e-002 2.9e-005 9.98e-001 1.674967510e+002 1.674978326e+002 2.6e-010 1.11 33 3.9e-007 5.4e-002 2.6e-005 1.00e+000 1.674968249e+002 1.674977978e+002 2.4e-010 1.13 34 3.5e-007 4.9e-002 2.4e-005 1.00e+000 1.674968912e+002 1.674977667e+002 2.1e-010 1.16 35 3.2e-007 4.5e-002 2.1e-005 1.00e+000 1.674969507e+002 1.674977387e+002 1.9e-010 1.19 36 2.9e-007 4.1e-002 1.9e-005 1.00e+000 1.674970043e+002 1.674977135e+002 1.7e-010 1.20 37 2.6e-007 3.8e-002 1.7e-005 9.99e-001 1.674970525e+002 1.674976908e+002 1.5e-010 1.23 38 2.3e-007 3.5e-002 1.6e-005 1.00e+000 1.674970959e+002 1.674976704e+002 1.4e-010 1.25 39 2.1e-007 3.2e-002 1.4e-005 1.00e+000 1.674971350e+002 1.674976520e+002 1.3e-010 1.27 40 1.9e-007 3.0e-002 1.3e-005 1.00e+000 1.674971701e+002 1.674976354e+002 1.1e-010 1.30 41 1.7e-007 2.7e-002 1.1e-005 1.00e+000 1.674972017e+002 1.674976205e+002 1.0e-010 1.31 42 1.5e-007 2.5e-002 1.0e-005 9.94e-001 1.674972302e+002 1.674976071e+002 9.1e-011 1.33 43 1.4e-007 2.4e-002 9.2e-006 9.94e-001 1.674972557e+002 1.674975951e+002 8.2e-011 1.36 44 1.2e-007 2.2e-002 8.3e-006 1.01e+000 1.674972800e+002 1.674975835e+002 7.5e-011 1.38 45 1.1e-007 2.1e-002 7.4e-006 9.99e-001 1.674973006e+002 1.674975737e+002 6.7e-011 1.41 46 1.0e-007 1.9e-002 6.7e-006 1.01e+000 1.674973199e+002 1.674975645e+002 6.1e-011 1.42 47 9.0e-008 1.8e-002 6.0e-006 9.91e-001 1.674973364e+002 1.674975568e+002 5.5e-011 1.44 48 8.1e-008 1.7e-002 5.4e-006 9.96e-001 1.674973514e+002 1.674975497e+002 4.9e-011 1.45 49 7.3e-008 1.6e-002 4.9e-006 9.87e-001 1.674973648e+002 1.674975434e+002 4.4e-011 1.48 50 6.6e-008 1.5e-002 4.4e-006 9.94e-001 1.674973770e+002 1.674975377e+002 4.0e-011 1.50 51 5.9e-008 1.5e-002 3.9e-006 9.86e-001 1.674973878e+002 1.674975326e+002 3.6e-011 1.52 52 5.3e-008 1.4e-002 3.6e-006 1.01e+000 1.674973979e+002 1.674975278e+002 3.2e-011 1.55 53 4.8e-008 1.3e-002 3.2e-006 1.01e+000 1.674974068e+002 1.674975235e+002 2.9e-011 1.56 54 4.3e-008 1.3e-002 2.9e-006 9.92e-001 1.674974147e+002 1.674975198e+002 2.6e-011 1.59 55 3.9e-008 1.1e-002 2.6e-006 1.05e+000 1.674974235e+002 1.674975155e+002 2.4e-011 1.61 56 3.5e-008 1.1e-002 2.3e-006 1.02e+000 1.674974302e+002 1.674975122e+002 2.2e-011 1.64 57 3.1e-008 1.1e-002 2.1e-006 1.01e+000 1.674974361e+002 1.674975094e+002 2.0e-011 1.66 58 2.8e-008 1.1e-002 1.9e-006 9.81e-001 1.674974411e+002 1.674975071e+002 1.8e-011 1.67 59 2.5e-008 1.0e-002 1.7e-006 1.00e+000 1.674974456e+002 1.674975050e+002 1.6e-011 1.70 60 2.3e-008 1.0e-002 1.5e-006 9.69e-001 1.674974496e+002 1.674975032e+002 1.4e-011 1.72 61 2.1e-008 9.0e-003 1.4e-006 1.03e+000 1.674974536e+002 1.674975012e+002 1.3e-011 1.73 62 1.9e-008 8.1e-003 1.2e-006 1.03e+000 1.674974572e+002 1.674974995e+002 1.2e-011 1.77 63 1.7e-008 7.3e-003 1.1e-006 1.02e+000 1.674974604e+002 1.674974980e+002 1.1e-011 1.78 64 1.5e-008 6.6e-003 1.0e-006 1.03e+000 1.674974633e+002 1.674974966e+002 1.0e-011 1.80 65 4.4e-009 7.1e-004 1.1e-007 1.01e+000 1.674974835e+002 1.674974871e+002 1.1e-012 1.83 66 9.8e-010 3.9e-005 6.0e-009 9.98e-001 1.674974858e+002 1.674974860e+002 6.2e-014 1.84 Interior-point optimizer terminated. Time: 1.84. Optimizer terminated. Time: 2.28 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6749748581e+002 nrm: 2e+001 Viol. con: 2e-008 var: 0e+000 Dual. obj: 1.6749748601e+002 nrm: 9e+002 Viol. con: 0e+000 var: 2e-004 * End solution on dual form. * Transforming to primal solution. Solving took 2.31 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (313) of matrix 'A'. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.03 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230151357e+005 2.000000000e+000 1.0e+000 0.06 1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.222908579e+005 2.632059160e+000 7.3e-001 0.09 2 8.7e+002 1.2e+003 4.7e+004 -9.59e-001 -1.199596501e+005 4.666475563e+000 3.8e-001 0.11 3 2.9e+002 4.0e+002 1.6e+004 -9.21e-001 -1.110709051e+005 1.987657956e+001 1.3e-001 0.13 4 2.9e+002 4.0e+002 1.6e+004 -7.72e-001 -1.087642665e+005 2.036689785e+003 1.3e-001 0.16 5 1.3e+002 1.7e+002 6.8e+003 -7.62e-001 -8.906422130e+004 5.971183191e+003 5.6e-002 0.17 6 4.2e+001 5.7e+001 2.3e+003 -4.73e-001 -4.920430965e+004 1.111369106e+004 1.9e-002 0.19 7 2.4e+001 3.3e+001 1.3e+003 1.94e-001 -3.349818810e+004 7.411241645e+003 1.1e-002 0.20 8 1.3e+001 1.8e+001 7.1e+002 4.95e-001 -1.969389076e+004 4.787938585e+003 5.8e-003 0.22 9 5.5e+000 7.6e+000 3.0e+002 7.36e-001 -8.517230786e+003 2.514062351e+003 2.5e-003 0.23 10 2.7e+000 3.6e+000 1.4e+002 9.14e-001 -3.903687117e+003 1.521979101e+003 1.2e-003 0.25 11 1.1e+000 1.5e+000 5.9e+001 9.77e-001 -1.505210470e+003 7.328331309e+002 4.9e-004 0.27 12 8.6e-001 1.2e+000 4.7e+001 9.86e-001 -1.158371934e+003 6.275185112e+002 3.9e-004 0.28 13 6.7e-001 9.8e-001 3.7e+001 9.67e-001 -8.901508652e+002 5.250606627e+002 3.0e-004 0.30 14 3.2e-001 4.7e-001 1.8e+001 9.93e-001 -3.292499832e+002 3.540940351e+002 1.5e-004 0.31 15 1.5e-001 2.3e-001 8.4e+000 9.97e-001 -7.948946779e+001 2.418027600e+002 7.0e-005 0.34 16 8.6e-002 1.4e-001 4.8e+000 1.01e+000 1.957661480e+001 2.032103760e+002 4.0e-005 0.36 17 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.383003022e+001 2.027101959e+002 3.9e-005 0.38 18 6.9e-002 1.2e-001 3.8e+000 1.02e+000 5.217423877e+001 1.985751693e+002 3.2e-005 0.39 19 2.2e-002 8.7e-002 1.2e+000 1.02e+000 1.315386296e+002 1.779816852e+002 1.0e-005 0.41 20 6.9e-003 1.7e-001 3.9e-001 1.01e+000 1.561695374e+002 1.708354820e+002 3.3e-006 0.42 21 2.6e-003 1.6e-001 1.5e-001 1.00e+000 1.626494447e+002 1.681680360e+002 1.2e-006 0.44 22 1.6e-003 1.1e-001 9.4e-002 1.01e+000 1.641728339e+002 1.676798094e+002 7.9e-007 0.45 23 7.5e-004 8.3e-002 4.4e-002 1.00e+000 1.655652378e+002 1.671958698e+002 3.7e-007 0.47 24 3.0e-004 8.7e-002 1.8e-002 1.01e+000 1.662578496e+002 1.669290377e+002 1.5e-007 0.48 25 2.7e-004 8.0e-002 1.6e-002 1.01e+000 1.663096339e+002 1.669135076e+002 1.4e-007 0.50 26 2.5e-004 7.2e-002 1.5e-002 1.01e+000 1.663521301e+002 1.668954600e+002 1.2e-007 0.52 27 2.2e-004 6.6e-002 1.3e-002 1.01e+000 1.663906733e+002 1.668795473e+002 1.1e-007 0.53 28 2.0e-004 6.0e-002 1.2e-002 1.01e+000 1.664251406e+002 1.668650264e+002 1.0e-007 0.55 29 1.8e-004 5.5e-002 1.1e-002 1.01e+000 1.664560504e+002 1.668518651e+002 9.1e-008 0.56 30 1.6e-004 5.0e-002 9.6e-003 1.01e+000 1.664837605e+002 1.668399261e+002 8.2e-008 0.59 31 1.5e-004 4.6e-002 8.6e-003 1.01e+000 1.665086086e+002 1.668291026e+002 7.4e-008 0.61 32 1.3e-004 4.2e-002 7.8e-003 1.01e+000 1.665308935e+002 1.668192932e+002 6.6e-008 0.63 33 1.2e-004 3.9e-002 7.0e-003 1.00e+000 1.665508832e+002 1.668104072e+002 6.0e-008 0.66 34 1.1e-004 3.6e-002 6.3e-003 1.00e+000 1.665688170e+002 1.668023595e+002 5.4e-008 0.67 35 9.5e-005 3.3e-002 5.7e-003 1.00e+000 1.665849089e+002 1.667950740e+002 4.8e-008 0.70 36 8.6e-005 3.0e-002 5.1e-003 1.00e+000 1.665993501e+002 1.667884803e+002 4.4e-008 0.72 37 7.7e-005 2.8e-002 4.6e-003 1.00e+000 1.666123117e+002 1.667825139e+002 3.9e-008 0.75 38 6.9e-005 2.6e-002 4.1e-003 1.00e+000 1.666239467e+002 1.667771173e+002 3.5e-008 0.78 39 6.3e-005 2.4e-002 3.7e-003 1.00e+000 1.666343918e+002 1.667722353e+002 3.2e-008 0.80 40 5.6e-005 2.3e-002 3.3e-003 1.00e+000 1.666437705e+002 1.667678219e+002 2.9e-008 0.81 41 5.1e-005 2.1e-002 3.0e-003 1.00e+000 1.666521919e+002 1.667638316e+002 2.6e-008 0.84 42 4.6e-005 2.0e-002 2.7e-003 1.00e+000 1.666597547e+002 1.667602247e+002 2.3e-008 0.86 43 4.1e-005 1.9e-002 2.4e-003 1.00e+000 1.666665472e+002 1.667569658e+002 2.1e-008 0.88 44 3.7e-005 1.7e-002 2.2e-003 1.00e+000 1.666726481e+002 1.667540217e+002 1.9e-008 0.89 45 3.3e-005 1.7e-002 2.0e-003 1.00e+000 1.666781285e+002 1.667513624e+002 1.7e-008 0.91 46 3.0e-005 1.6e-002 1.8e-003 1.00e+000 1.666830517e+002 1.667489613e+002 1.5e-008 0.92 47 2.7e-005 1.5e-002 1.6e-003 1.00e+000 1.666874746e+002 1.667467920e+002 1.4e-008 0.94 48 2.4e-005 1.4e-002 1.4e-003 1.00e+000 1.666914489e+002 1.667448339e+002 1.2e-008 0.97 49 2.2e-005 1.4e-002 1.3e-003 1.00e+000 1.666950200e+002 1.667430660e+002 1.1e-008 0.98 50 2.0e-005 1.3e-002 1.2e-003 1.00e+000 1.666982293e+002 1.667414694e+002 1.0e-008 1.00 51 1.8e-005 1.3e-002 1.0e-003 1.00e+000 1.667011136e+002 1.667400294e+002 9.0e-009 1.01 52 1.6e-005 1.2e-002 9.4e-004 1.00e+000 1.667037058e+002 1.667387300e+002 8.1e-009 1.03 53 1.4e-005 1.2e-002 8.5e-004 1.00e+000 1.667060358e+002 1.667375577e+002 7.3e-009 1.05 54 1.3e-005 1.1e-002 7.6e-004 1.00e+000 1.667081303e+002 1.667364998e+002 6.6e-009 1.06 55 1.2e-005 1.1e-002 6.9e-004 1.00e+000 1.667100133e+002 1.667355455e+002 5.9e-009 1.09 56 1.0e-005 1.1e-002 6.2e-004 1.00e+000 1.667117061e+002 1.667346853e+002 5.3e-009 1.11 57 9.4e-006 1.0e-002 5.6e-004 1.00e+000 1.667132280e+002 1.667339098e+002 4.8e-009 1.13 58 8.4e-006 1.0e-002 5.0e-004 1.00e+000 1.667145965e+002 1.667332098e+002 4.3e-009 1.16 59 7.6e-006 1.0e-002 4.5e-004 1.00e+000 1.667158271e+002 1.667325794e+002 3.9e-009 1.19 60 6.8e-006 9.8e-003 4.1e-004 1.00e+000 1.667169335e+002 1.667320114e+002 3.5e-009 1.22 61 6.2e-006 9.7e-003 3.7e-004 1.00e+000 1.667179286e+002 1.667314990e+002 3.1e-009 1.25 62 5.5e-006 9.5e-003 3.3e-004 1.00e+000 1.667188235e+002 1.667310373e+002 2.8e-009 1.26 63 5.0e-006 9.3e-003 3.0e-004 1.00e+000 1.667196283e+002 1.667306212e+002 2.5e-009 1.30 64 4.5e-006 9.2e-003 2.7e-004 1.00e+000 1.667203522e+002 1.667302461e+002 2.3e-009 1.31 65 4.0e-006 9.1e-003 2.4e-004 9.99e-001 1.667210032e+002 1.667299083e+002 2.1e-009 1.33 66 3.6e-006 9.0e-003 2.2e-004 1.00e+000 1.667215887e+002 1.667296033e+002 1.9e-009 1.36 67 3.3e-006 8.9e-003 1.9e-004 1.00e+000 1.667221154e+002 1.667293288e+002 1.7e-009 1.38 68 2.9e-006 8.8e-003 1.8e-004 9.99e-001 1.667225890e+002 1.667290814e+002 1.5e-009 1.39 69 2.7e-006 8.7e-003 1.6e-004 1.00e+000 1.667230150e+002 1.667288577e+002 1.3e-009 1.42 70 2.4e-006 8.6e-003 1.4e-004 9.99e-001 1.667233981e+002 1.667286570e+002 1.2e-009 1.44 71 2.1e-006 8.5e-003 1.3e-004 1.00e+000 1.667237427e+002 1.667284759e+002 1.1e-009 1.47 72 1.9e-006 8.5e-003 1.1e-004 9.99e-001 1.667240527e+002 1.667283129e+002 9.8e-010 1.48 73 1.7e-006 8.4e-003 1.0e-004 1.00e+000 1.667243317e+002 1.667281656e+002 8.9e-010 1.51 74 1.6e-006 8.4e-003 9.3e-005 1.00e+000 1.667245827e+002 1.667280330e+002 8.0e-010 1.53 75 1.4e-006 8.3e-003 8.4e-005 1.01e+000 1.667248086e+002 1.667279130e+002 7.2e-010 1.55 76 1.3e-006 8.3e-003 7.5e-005 1.00e+000 1.667250117e+002 1.667278058e+002 6.5e-010 1.58 77 1.1e-006 8.2e-003 6.8e-005 1.00e+000 1.667251944e+002 1.667277092e+002 5.8e-010 1.59 78 1.0e-006 8.2e-003 6.1e-005 1.00e+000 1.667253589e+002 1.667276219e+002 5.2e-010 1.61 79 9.2e-007 8.1e-003 5.5e-005 9.95e-001 1.667255067e+002 1.667275440e+002 4.7e-010 1.64 80 8.3e-007 8.1e-003 4.9e-005 9.91e-001 1.667256396e+002 1.667274741e+002 4.2e-010 1.66 81 7.5e-007 8.1e-003 4.4e-005 1.00e+000 1.667257594e+002 1.667274101e+002 3.8e-010 1.69 82 6.7e-007 8.0e-003 4.0e-005 1.00e+000 1.667258671e+002 1.667273526e+002 3.4e-010 1.70 83 6.1e-007 8.0e-003 3.6e-005 1.00e+000 1.667259640e+002 1.667273010e+002 3.1e-010 1.72 84 5.5e-007 7.2e-003 3.2e-005 1.01e+000 1.667260529e+002 1.667272532e+002 2.8e-010 1.75 85 4.9e-007 6.5e-003 2.9e-005 1.00e+000 1.667261312e+002 1.667272113e+002 2.5e-010 1.76 86 4.4e-007 5.8e-003 2.6e-005 9.88e-001 1.667262015e+002 1.667271742e+002 2.3e-010 1.78 87 4.0e-007 5.2e-003 2.4e-005 9.86e-001 1.667262647e+002 1.667271407e+002 2.0e-010 1.81 88 3.6e-007 4.7e-003 2.1e-005 9.97e-001 1.667263216e+002 1.667271101e+002 1.8e-010 1.83 89 3.2e-007 4.2e-003 1.9e-005 1.01e+000 1.667263742e+002 1.667270814e+002 1.7e-010 1.84 90 2.9e-007 3.8e-003 1.7e-005 1.01e+000 1.667264214e+002 1.667270558e+002 1.5e-010 1.88 91 2.6e-007 3.4e-003 1.6e-005 9.93e-001 1.667264625e+002 1.667270339e+002 1.3e-010 1.89 92 2.3e-007 3.1e-003 1.4e-005 9.64e-001 1.667264994e+002 1.667270146e+002 1.2e-010 1.92 93 2.1e-007 2.8e-003 1.3e-005 9.84e-001 1.667265327e+002 1.667269967e+002 1.1e-010 1.94 94 1.9e-007 2.5e-003 1.1e-005 1.00e+000 1.667265627e+002 1.667269804e+002 9.8e-011 1.97 95 1.7e-007 2.3e-003 1.0e-005 1.00e+000 1.667265901e+002 1.667269654e+002 8.8e-011 1.98 96 1.5e-007 2.0e-003 9.2e-006 1.01e+000 1.667266157e+002 1.667269512e+002 8.0e-011 2.02 97 1.4e-007 1.8e-003 8.2e-006 1.00e+000 1.667266374e+002 1.667269394e+002 7.2e-011 2.03 98 1.2e-007 1.6e-003 7.4e-006 1.01e+000 1.667266578e+002 1.667269281e+002 6.5e-011 2.05 99 1.1e-007 1.5e-003 6.7e-006 1.01e+000 1.667266762e+002 1.667269180e+002 5.9e-011 2.06 100 1.0e-007 1.3e-003 6.0e-006 1.03e+000 1.667266943e+002 1.667269079e+002 5.4e-011 2.09 101 9.1e-008 1.2e-003 5.4e-006 1.01e+000 1.667267084e+002 1.667269001e+002 4.8e-011 2.11 102 8.2e-008 1.1e-003 4.9e-006 9.71e-001 1.667267208e+002 1.667268937e+002 4.4e-011 2.13 103 7.4e-008 9.7e-004 4.4e-006 1.02e+000 1.667267329e+002 1.667268870e+002 4.0e-011 2.14 104 6.7e-008 8.7e-004 3.9e-006 1.02e+000 1.667267435e+002 1.667268811e+002 3.6e-011 2.16 105 6.0e-008 7.9e-004 3.5e-006 1.02e+000 1.667267533e+002 1.667268757e+002 3.3e-011 2.17 106 5.4e-008 7.1e-004 3.2e-006 1.03e+000 1.667267622e+002 1.667268707e+002 3.0e-011 2.19 107 4.9e-008 6.4e-004 2.9e-006 1.02e+000 1.667267697e+002 1.667268666e+002 2.7e-011 2.20 108 4.4e-008 5.7e-004 2.6e-006 1.03e+000 1.667267768e+002 1.667268627e+002 2.5e-011 2.22 109 3.9e-008 5.2e-004 2.3e-006 9.94e-001 1.667267823e+002 1.667268598e+002 2.2e-011 2.23 110 3.5e-008 4.6e-004 2.1e-006 1.02e+000 1.667267878e+002 1.667268568e+002 2.0e-011 2.25 111 3.2e-008 4.2e-004 1.9e-006 1.03e+000 1.667267929e+002 1.667268539e+002 1.8e-011 2.28 112 2.9e-008 3.8e-004 1.7e-006 1.01e+000 1.667267971e+002 1.667268517e+002 1.7e-011 2.30 113 2.6e-008 3.4e-004 1.5e-006 1.04e+000 1.667268013e+002 1.667268493e+002 1.5e-011 2.31 114 2.3e-008 3.1e-004 1.4e-006 9.92e-001 1.667268044e+002 1.667268477e+002 1.4e-011 2.33 115 2.1e-008 2.7e-004 1.2e-006 1.01e+000 1.667268073e+002 1.667268462e+002 1.2e-011 2.34 116 1.9e-008 2.5e-004 1.1e-006 1.00e+000 1.667268099e+002 1.667268448e+002 1.1e-011 2.38 117 1.7e-008 2.2e-004 1.0e-006 1.01e+000 1.667268123e+002 1.667268435e+002 1.0e-011 2.39 118 1.5e-008 2.0e-004 9.0e-007 9.63e-001 1.667268143e+002 1.667268424e+002 9.1e-012 2.41 119 1.8e-008 1.8e-004 8.1e-007 9.33e-001 1.667268160e+002 1.667268420e+002 8.2e-012 2.44 120 1.6e-008 1.6e-004 7.3e-007 9.73e-001 1.667268178e+002 1.667268405e+002 7.3e-012 2.45 121 1.4e-008 1.5e-004 6.6e-007 9.99e-001 1.667268193e+002 1.667268397e+002 6.6e-012 2.48 122 1.3e-008 1.3e-004 5.9e-007 1.05e+000 1.667268209e+002 1.667268388e+002 6.1e-012 2.52 123 1.1e-008 1.2e-004 5.3e-007 1.02e+000 1.667268222e+002 1.667268381e+002 5.5e-012 2.55 124 1.0e-008 1.1e-004 4.8e-007 1.07e+000 1.667268236e+002 1.667268373e+002 5.2e-012 2.58 125 9.3e-009 9.6e-005 4.3e-007 1.12e+000 1.667268250e+002 1.667268365e+002 4.9e-012 2.59 126 2.3e-009 5.9e-006 2.7e-008 1.00e+000 1.667268321e+002 1.667268328e+002 2.8e-013 2.63 Interior-point optimizer terminated. Time: 2.63. Optimizer terminated. Time: 2.64 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6672683213e+002 nrm: 2e+001 Viol. con: 5e-008 var: 0e+000 Dual. obj: 1.6672683284e+002 nrm: 9e+002 Viol. con: 0e+000 var: 3e-005 * End solution on dual form. * Transforming to primal solution. Solving took 2.67 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.03 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.06 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.06 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230367077e+005 2.000000000e+000 1.0e+000 0.11 1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223178245e+005 2.624116329e+000 7.3e-001 0.16 2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200102043e+005 4.620830089e+000 3.9e-001 0.19 3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110426095e+005 1.990769685e+001 1.3e-001 0.22 4 2.9e+002 4.0e+002 1.6e+004 -7.72e-001 -1.087589053e+005 2.019883848e+003 1.3e-001 0.25 5 1.2e+002 1.7e+002 6.6e+003 -7.62e-001 -8.824001519e+004 6.154688732e+003 5.4e-002 0.27 6 3.7e+001 5.1e+001 2.0e+003 -4.61e-001 -4.476235256e+004 1.167082806e+004 1.6e-002 0.30 7 2.2e+001 3.0e+001 1.2e+003 2.75e-001 -3.063607440e+004 7.473367165e+003 9.9e-003 0.33 8 1.1e+001 1.5e+001 5.9e+002 5.48e-001 -1.642594618e+004 4.293622528e+003 4.8e-003 0.34 9 3.9e+000 5.4e+000 2.1e+002 7.94e-001 -5.962379139e+003 1.972684345e+003 1.8e-003 0.38 10 2.1e+000 2.9e+000 1.2e+002 9.52e-001 -3.110615958e+003 1.278430968e+003 9.6e-004 0.41 11 9.0e-001 1.2e+000 4.9e+001 9.86e-001 -1.222392987e+003 6.476292997e+002 4.1e-004 0.42 12 7.9e-001 1.1e+000 4.3e+001 9.75e-001 -1.085373118e+003 5.843568401e+002 3.6e-004 0.45 13 5.8e-001 8.0e-001 3.2e+001 9.84e-001 -7.317342998e+002 4.858880883e+002 2.6e-004 0.47 14 1.7e-001 2.6e-001 9.7e+000 9.93e-001 -1.240075546e+002 2.492062621e+002 8.2e-005 0.50 15 9.7e-002 1.6e-001 5.5e+000 1.01e+000 -1.670394789e+000 2.075175004e+002 4.6e-005 0.53 16 9.7e-002 1.6e-001 5.4e+000 1.02e+000 7.196316164e-003 2.077275940e+002 4.6e-005 0.55 17 8.8e-002 1.4e-001 5.0e+000 1.02e+000 1.851044246e+001 2.082011923e+002 4.2e-005 0.58 18 5.6e-002 9.6e-002 3.2e+000 1.02e+000 7.256499456e+001 1.929698708e+002 2.7e-005 0.61 19 2.2e-002 8.1e-002 1.3e+000 1.02e+000 1.299712452e+002 1.777057812e+002 1.1e-005 0.64 20 5.9e-003 2.4e-001 3.4e-001 1.01e+000 1.574382744e+002 1.702171643e+002 2.9e-006 0.66 21 3.6e-003 2.2e-001 2.1e-001 1.00e+000 1.608912353e+002 1.687377840e+002 1.8e-006 0.69 22 1.4e-003 1.2e-001 8.4e-002 1.00e+000 1.643431210e+002 1.674866987e+002 7.1e-007 0.72 23 7.3e-004 8.2e-002 4.3e-002 1.01e+000 1.654497052e+002 1.670537091e+002 3.7e-007 0.73 24 2.7e-004 9.0e-002 1.6e-002 1.01e+000 1.661591367e+002 1.667688209e+002 1.4e-007 0.77 25 2.4e-004 8.3e-002 1.5e-002 1.01e+000 1.662066043e+002 1.667552365e+002 1.3e-007 0.80 26 2.2e-004 7.5e-002 1.3e-002 1.01e+000 1.662450618e+002 1.667386300e+002 1.1e-007 0.81 27 2.0e-004 6.8e-002 1.2e-002 1.01e+000 1.662799813e+002 1.667240345e+002 1.0e-007 0.84 28 1.8e-004 6.2e-002 1.1e-002 1.01e+000 1.663112072e+002 1.667107233e+002 9.3e-008 0.88 29 1.6e-004 5.7e-002 9.7e-003 1.01e+000 1.663392214e+002 1.666986779e+002 8.3e-008 0.89 30 1.4e-004 5.2e-002 8.7e-003 1.01e+000 1.663643448e+002 1.666877670e+002 7.5e-008 0.92 31 1.3e-004 4.8e-002 7.9e-003 1.01e+000 1.663868795e+002 1.666778872e+002 6.8e-008 0.94 32 1.2e-004 4.4e-002 7.1e-003 1.01e+000 1.664070935e+002 1.666689415e+002 6.1e-008 0.97 33 1.1e-004 4.0e-002 6.4e-003 1.01e+000 1.664252278e+002 1.666608430e+002 5.5e-008 0.98 34 9.5e-005 3.7e-002 5.7e-003 1.01e+000 1.664414980e+002 1.666535127e+002 4.9e-008 1.02 35 8.5e-005 3.4e-002 5.2e-003 1.01e+000 1.664560975e+002 1.666468791e+002 4.4e-008 1.03 36 7.7e-005 3.2e-002 4.6e-003 1.01e+000 1.664691991e+002 1.666408770e+002 4.0e-008 1.06 37 6.9e-005 2.9e-002 4.2e-003 1.00e+000 1.664809580e+002 1.666354474e+002 3.6e-008 1.08 38 6.2e-005 2.7e-002 3.8e-003 1.00e+000 1.664915127e+002 1.666305366e+002 3.2e-008 1.11 39 5.6e-005 2.5e-002 3.4e-003 1.00e+000 1.665009877e+002 1.666260958e+002 2.9e-008 1.13 40 5.0e-005 2.4e-002 3.0e-003 1.00e+000 1.665094941e+002 1.666220808e+002 2.6e-008 1.16 41 4.5e-005 2.2e-002 2.7e-003 1.00e+000 1.665171318e+002 1.666184513e+002 2.4e-008 1.17 42 4.1e-005 2.1e-002 2.5e-003 1.00e+000 1.665239902e+002 1.666151709e+002 2.1e-008 1.20 43 3.7e-005 1.9e-002 2.2e-003 1.00e+000 1.665301493e+002 1.666122065e+002 1.9e-008 1.24 44 3.3e-005 1.8e-002 2.0e-003 1.00e+000 1.665356810e+002 1.666095282e+002 1.7e-008 1.25 45 3.0e-005 1.7e-002 1.8e-003 1.00e+000 1.665406497e+002 1.666071088e+002 1.5e-008 1.28 46 2.7e-005 1.6e-002 1.6e-003 1.00e+000 1.665451130e+002 1.666049236e+002 1.4e-008 1.30 47 2.4e-005 1.6e-002 1.5e-003 1.00e+000 1.665491229e+002 1.666029503e+002 1.3e-008 1.33 48 2.2e-005 1.5e-002 1.3e-003 1.00e+000 1.665527256e+002 1.666011686e+002 1.1e-008 1.36 49 2.0e-005 1.4e-002 1.2e-003 1.00e+000 1.665559628e+002 1.665995603e+002 1.0e-008 1.38 50 1.8e-005 1.4e-002 1.1e-003 1.00e+000 1.665588720e+002 1.665981088e+002 9.1e-009 1.41 51 1.6e-005 1.3e-002 9.6e-004 1.00e+000 1.665614866e+002 1.665967991e+002 8.2e-009 1.42 52 1.4e-005 1.3e-002 8.6e-004 1.00e+000 1.665638368e+002 1.665956174e+002 7.4e-009 1.45 53 1.3e-005 1.2e-002 7.8e-004 1.00e+000 1.665659494e+002 1.665945516e+002 6.7e-009 1.49 54 1.2e-005 1.2e-002 7.0e-004 1.00e+000 1.665678487e+002 1.665935903e+002 6.0e-009 1.50 55 1.0e-005 1.1e-002 6.3e-004 1.00e+000 1.665695563e+002 1.665927236e+002 5.4e-009 1.53 56 9.3e-006 1.1e-002 5.7e-004 1.00e+000 1.665710918e+002 1.665919423e+002 4.9e-009 1.55 57 8.4e-006 1.1e-002 5.1e-004 1.00e+000 1.665724727e+002 1.665912380e+002 4.4e-009 1.58 58 7.6e-006 1.1e-002 4.6e-004 1.00e+000 1.665737145e+002 1.665906032e+002 3.9e-009 1.59 59 6.8e-006 1.0e-002 4.1e-004 1.00e+000 1.665748313e+002 1.665900312e+002 3.5e-009 1.63 60 6.1e-006 1.0e-002 3.7e-004 1.00e+000 1.665758359e+002 1.665895157e+002 3.2e-009 1.64 61 5.5e-006 9.9e-003 3.3e-004 1.00e+000 1.665767394e+002 1.665890513e+002 2.9e-009 1.67 62 5.0e-006 9.8e-003 3.0e-004 1.00e+000 1.665775521e+002 1.665886329e+002 2.6e-009 1.69 63 4.5e-006 9.6e-003 2.7e-004 1.00e+000 1.665782831e+002 1.665882558e+002 2.3e-009 1.72 64 4.0e-006 9.5e-003 2.4e-004 1.00e+000 1.665789406e+002 1.665879161e+002 2.1e-009 1.75 65 3.6e-006 9.3e-003 2.2e-004 1.00e+000 1.665795320e+002 1.665876100e+002 1.9e-009 1.77 66 3.3e-006 9.2e-003 2.0e-004 1.00e+000 1.665800639e+002 1.665873341e+002 1.7e-009 1.78 67 2.9e-006 9.1e-003 1.8e-004 1.00e+000 1.665805423e+002 1.665870856e+002 1.5e-009 1.81 68 2.6e-006 9.0e-003 1.6e-004 1.00e+000 1.665809726e+002 1.665868615e+002 1.4e-009 1.83 69 2.4e-006 8.9e-003 1.4e-004 1.00e+000 1.665813596e+002 1.665866597e+002 1.2e-009 1.86 70 2.1e-006 8.9e-003 1.3e-004 1.00e+000 1.665817077e+002 1.665864779e+002 1.1e-009 1.88 71 1.9e-006 8.8e-003 1.2e-004 1.00e+000 1.665820209e+002 1.665863141e+002 1.0e-009 1.91 72 1.7e-006 8.7e-003 1.0e-004 1.00e+000 1.665823027e+002 1.665861665e+002 9.0e-010 1.92 73 1.6e-006 8.7e-003 9.4e-005 1.00e+000 1.665825562e+002 1.665860337e+002 8.1e-010 1.95 74 1.4e-006 8.6e-003 8.5e-005 1.00e+000 1.665827842e+002 1.665859140e+002 7.3e-010 1.97 75 1.3e-006 8.6e-003 7.6e-005 1.00e+000 1.665829893e+002 1.665858062e+002 6.6e-010 2.00 76 1.1e-006 8.5e-003 6.9e-005 1.00e+000 1.665831739e+002 1.665857090e+002 5.9e-010 2.02 77 1.0e-006 8.5e-003 6.2e-005 1.00e+000 1.665833399e+002 1.665856216e+002 5.3e-010 2.05 78 9.2e-007 8.4e-003 5.6e-005 1.00e+000 1.665834892e+002 1.665855427e+002 4.8e-010 2.06 79 8.3e-007 8.4e-003 5.0e-005 1.00e+000 1.665836236e+002 1.665854717e+002 4.3e-010 2.09 80 7.4e-007 8.4e-003 4.5e-005 1.00e+000 1.665837444e+002 1.665854078e+002 3.9e-010 2.11 81 6.7e-007 8.3e-003 4.1e-005 1.00e+000 1.665838531e+002 1.665853501e+002 3.5e-010 2.14 82 6.0e-007 8.3e-003 3.7e-005 1.00e+000 1.665839509e+002 1.665852982e+002 3.1e-010 2.16 83 5.4e-007 8.3e-003 3.3e-005 1.00e+000 1.665840388e+002 1.665852514e+002 2.8e-010 2.17 84 4.9e-007 8.3e-003 3.0e-005 1.00e+000 1.665841178e+002 1.665852091e+002 2.5e-010 2.20 85 4.4e-007 8.2e-003 2.7e-005 1.00e+000 1.665841889e+002 1.665851711e+002 2.3e-010 2.22 86 4.0e-007 8.2e-003 2.4e-005 1.00e+000 1.665842528e+002 1.665851368e+002 2.1e-010 2.25 87 3.6e-007 8.2e-003 2.2e-005 1.00e+000 1.665843103e+002 1.665851059e+002 1.9e-010 2.27 88 3.2e-007 8.2e-003 1.9e-005 1.00e+000 1.665843620e+002 1.665850780e+002 1.7e-010 2.30 89 2.9e-007 8.2e-003 1.7e-005 1.00e+000 1.665844085e+002 1.665850529e+002 1.5e-010 2.31 90 2.6e-007 8.1e-003 1.6e-005 1.00e+000 1.665844503e+002 1.665850303e+002 1.4e-010 2.34 91 2.3e-007 8.1e-003 1.4e-005 1.00e+000 1.665844879e+002 1.665850099e+002 1.2e-010 2.36 92 2.1e-007 8.1e-003 1.3e-005 9.99e-001 1.665845218e+002 1.665849916e+002 1.1e-010 2.39 93 1.9e-007 8.1e-003 1.1e-005 1.00e+000 1.665845522e+002 1.665849750e+002 9.9e-011 2.41 94 1.7e-007 8.1e-003 1.0e-005 1.00e+000 1.665845796e+002 1.665849601e+002 8.9e-011 2.44 95 1.5e-007 8.1e-003 9.3e-006 9.97e-001 1.665846042e+002 1.665849467e+002 8.0e-011 2.45 96 1.4e-007 8.0e-003 8.4e-006 9.99e-001 1.665846263e+002 1.665849346e+002 7.2e-011 2.48 97 1.2e-007 8.0e-003 7.5e-006 9.97e-001 1.665846463e+002 1.665849238e+002 6.5e-011 2.50 98 1.1e-007 8.0e-003 6.8e-006 9.98e-001 1.665846642e+002 1.665849140e+002 5.8e-011 2.52 99 1.0e-007 8.0e-003 6.1e-006 9.98e-001 1.665846803e+002 1.665849052e+002 5.3e-011 2.55 100 9.1e-008 8.0e-003 5.5e-006 9.99e-001 1.665846948e+002 1.665848972e+002 4.7e-011 2.56 101 8.1e-008 8.0e-003 4.9e-006 1.00e+000 1.665847079e+002 1.665848900e+002 4.3e-011 2.59 102 7.3e-008 7.2e-003 4.4e-006 1.01e+000 1.665847198e+002 1.665848834e+002 3.8e-011 2.61 103 6.6e-008 6.4e-003 4.0e-006 9.99e-001 1.665847304e+002 1.665848776e+002 3.4e-011 2.64 104 5.9e-008 5.8e-003 3.6e-006 1.00e+000 1.665847399e+002 1.665848724e+002 3.1e-011 2.67 105 5.3e-008 5.2e-003 3.2e-006 1.00e+000 1.665847484e+002 1.665848677e+002 2.8e-011 2.69 106 4.8e-008 4.7e-003 2.9e-006 1.00e+000 1.665847561e+002 1.665848634e+002 2.5e-011 2.72 107 4.3e-008 4.2e-003 2.6e-006 1.01e+000 1.665847632e+002 1.665848595e+002 2.3e-011 2.73 108 3.9e-008 3.8e-003 2.4e-006 1.02e+000 1.665847698e+002 1.665848558e+002 2.1e-011 2.77 109 3.5e-008 3.4e-003 2.1e-006 1.02e+000 1.665847756e+002 1.665848526e+002 1.9e-011 2.78 110 3.2e-008 3.1e-003 1.9e-006 1.00e+000 1.665847806e+002 1.665848498e+002 1.7e-011 2.81 111 2.8e-008 2.8e-003 1.7e-006 1.00e+000 1.665847851e+002 1.665848474e+002 1.5e-011 2.83 112 2.6e-008 2.5e-003 1.6e-006 1.03e+000 1.665847896e+002 1.665848448e+002 1.4e-011 2.84 113 2.3e-008 2.2e-003 1.4e-006 9.72e-001 1.665847931e+002 1.665848430e+002 1.2e-011 2.88 114 2.1e-008 2.0e-003 1.3e-006 1.06e+000 1.665847972e+002 1.665848407e+002 1.1e-011 2.89 115 1.9e-008 1.8e-003 1.1e-006 1.03e+000 1.665848003e+002 1.665848390e+002 1.0e-011 2.91 116 1.7e-008 1.6e-003 1.0e-006 1.03e+000 1.665848030e+002 1.665848375e+002 9.5e-012 2.94 117 1.5e-008 1.5e-003 9.2e-007 9.88e-001 1.665848052e+002 1.665848363e+002 8.5e-012 2.95 118 1.4e-008 1.3e-003 8.2e-007 1.02e+000 1.665848074e+002 1.665848351e+002 7.8e-012 2.98 119 1.3e-008 1.2e-003 7.4e-007 9.59e-001 1.665848092e+002 1.665848341e+002 7.0e-012 3.00 120 1.1e-008 1.1e-003 6.7e-007 1.02e+000 1.665848109e+002 1.665848332e+002 6.3e-012 3.02 121 1.0e-008 9.7e-004 6.0e-007 9.36e-001 1.665848123e+002 1.665848324e+002 5.7e-012 3.05 122 9.5e-009 8.7e-004 5.4e-007 9.75e-001 1.665848136e+002 1.665848317e+002 5.1e-012 3.08 123 8.5e-009 7.8e-004 4.9e-007 1.04e+000 1.665848150e+002 1.665848309e+002 4.7e-012 3.09 124 7.8e-009 7.1e-004 4.4e-007 1.04e+000 1.665848162e+002 1.665848302e+002 4.3e-012 3.13 125 7.1e-009 6.4e-004 3.9e-007 9.42e-001 1.665848171e+002 1.665848298e+002 3.9e-012 3.16 126 6.5e-009 5.7e-004 3.5e-007 8.53e-001 1.665848179e+002 1.665848293e+002 3.5e-012 3.17 127 6.1e-009 5.1e-004 3.2e-007 8.73e-001 1.665848186e+002 1.665848290e+002 3.1e-012 3.20 128 4.7e-008 1.1e-005 7.1e-009 6.35e-001 1.665848270e+002 1.665848273e+002 7.2e-013 3.22 Interior-point optimizer terminated. Time: 3.22. Optimizer terminated. Time: 3.23 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6658482696e+002 nrm: 2e+001 Viol. con: 1e-006 var: 0e+000 Dual. obj: 1.6658482730e+002 nrm: 9e+002 Viol. con: 0e+000 var: 1e-004 * End solution on dual form. * Transforming to primal solution. Solving took 3.27 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.05 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.08 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230611883e+005 2.000000000e+000 1.0e+000 0.13 1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223441368e+005 2.620938770e+000 7.3e-001 0.16 2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200465430e+005 4.604944448e+000 3.9e-001 0.19 3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.111151792e+005 1.975171456e+001 1.3e-001 0.22 4 2.9e+002 4.0e+002 1.6e+004 -7.74e-001 -1.087861086e+005 2.021709687e+003 1.3e-001 0.25 5 1.2e+002 1.6e+002 6.2e+003 -7.62e-001 -8.653094645e+004 6.546394528e+003 5.1e-002 0.28 6 3.2e+001 4.3e+001 1.7e+003 -4.34e-001 -3.914874376e+004 1.208995988e+004 1.4e-002 0.30 7 2.0e+001 2.7e+001 1.1e+003 3.80e-001 -2.753461593e+004 7.574461627e+003 8.8e-003 0.33 8 1.0e+001 1.4e+001 5.5e+002 6.05e-001 -1.530362373e+004 4.262309506e+003 4.5e-003 0.34 9 3.8e+000 5.2e+000 2.0e+002 8.13e-001 -5.768043243e+003 1.912415434e+003 1.7e-003 0.38 10 2.0e+000 2.8e+000 1.1e+002 9.53e-001 -2.976314981e+003 1.211909119e+003 9.2e-004 0.39 11 8.2e-001 1.1e+000 4.5e+001 9.88e-001 -1.098342222e+003 6.155141667e+002 3.8e-004 0.42 12 8.0e-001 1.1e+000 4.4e+001 9.52e-001 -1.086372104e+003 5.941291459e+002 3.6e-004 0.45 13 5.0e-001 7.0e-001 2.8e+001 9.73e-001 -6.382153473e+002 4.269018396e+002 2.3e-004 0.47 14 3.0e-001 4.3e-001 1.7e+001 1.00e+000 -3.113024754e+002 3.356690248e+002 1.4e-004 0.50 15 1.0e-001 1.7e-001 5.9e+000 1.00e+000 -1.402899109e+001 2.118105934e+002 5.0e-005 0.53 16 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.609889079e+001 2.065518354e+002 4.0e-005 0.56 17 5.2e-002 1.0e-001 3.0e+000 1.02e+000 8.007612338e+001 1.917336886e+002 2.5e-005 0.59 18 1.3e-002 1.4e-001 7.4e-001 1.02e+000 1.458565089e+002 1.737470408e+002 6.2e-006 0.63 19 4.4e-003 1.6e-001 2.5e-001 1.00e+000 1.595364168e+002 1.690542442e+002 2.1e-006 0.66 20 2.7e-003 1.9e-001 1.6e-001 1.01e+000 1.622642879e+002 1.680632649e+002 1.3e-006 0.69 21 8.8e-004 1.2e-001 5.3e-002 1.01e+000 1.651190233e+002 1.670865935e+002 4.5e-007 0.72 22 4.3e-004 8.9e-002 2.6e-002 1.01e+000 1.658317288e+002 1.668023822e+002 2.2e-007 0.73 23 1.7e-004 8.9e-002 1.0e-002 1.01e+000 1.662460375e+002 1.666329425e+002 9.0e-008 0.77 24 1.5e-004 8.2e-002 9.4e-003 1.01e+000 1.662760952e+002 1.666242726e+002 8.1e-008 0.80 25 1.4e-004 7.5e-002 8.5e-003 1.01e+000 1.663001629e+002 1.666133987e+002 7.3e-008 0.83 26 1.2e-004 6.8e-002 7.6e-003 1.01e+000 1.663220670e+002 1.666038929e+002 6.6e-008 0.86 27 1.1e-004 6.2e-002 6.8e-003 1.01e+000 1.663416661e+002 1.665952380e+002 5.9e-008 0.89 28 1.0e-004 5.7e-002 6.2e-003 1.01e+000 1.663592579e+002 1.665874146e+002 5.3e-008 0.92 29 9.0e-005 5.2e-002 5.5e-003 1.01e+000 1.663750393e+002 1.665803328e+002 4.8e-008 0.95 30 8.1e-005 4.7e-002 5.0e-003 1.01e+000 1.663891992e+002 1.665739246e+002 4.3e-008 0.98 31 7.3e-005 4.3e-002 4.5e-003 1.01e+000 1.664019051e+002 1.665681263e+002 3.9e-008 1.02 32 6.6e-005 4.0e-002 4.0e-003 1.01e+000 1.664133076e+002 1.665628809e+002 3.5e-008 1.03 33 5.9e-005 3.7e-002 3.6e-003 1.01e+000 1.664235415e+002 1.665581365e+002 3.1e-008 1.06 34 5.3e-005 3.4e-002 3.3e-003 1.00e+000 1.664327275e+002 1.665538460e+002 2.8e-008 1.09 35 4.8e-005 3.1e-002 3.0e-003 1.00e+000 1.664409738e+002 1.665499667e+002 2.6e-008 1.13 36 4.3e-005 2.9e-002 2.7e-003 1.00e+000 1.664483773e+002 1.665464598e+002 2.3e-008 1.14 37 3.9e-005 2.7e-002 2.4e-003 1.00e+000 1.664550249e+002 1.665432901e+002 2.1e-008 1.17 38 3.5e-005 2.5e-002 2.2e-003 1.00e+000 1.664609943e+002 1.665404257e+002 1.9e-008 1.19 39 3.2e-005 2.3e-002 1.9e-003 1.00e+000 1.664663553e+002 1.665378377e+002 1.7e-008 1.22 40 2.8e-005 2.2e-002 1.7e-003 1.00e+000 1.664711703e+002 1.665354998e+002 1.5e-008 1.25 41 2.6e-005 2.0e-002 1.6e-003 1.00e+000 1.664754954e+002 1.665333882e+002 1.4e-008 1.28 42 2.3e-005 1.9e-002 1.4e-003 1.00e+000 1.664793808e+002 1.665314813e+002 1.2e-008 1.30 43 2.1e-005 1.8e-002 1.3e-003 1.00e+000 1.664828716e+002 1.665297597e+002 1.1e-008 1.33 44 1.9e-005 1.7e-002 1.1e-003 1.00e+000 1.664860083e+002 1.665282057e+002 9.9e-009 1.36 45 1.7e-005 1.6e-002 1.0e-003 1.00e+000 1.664888270e+002 1.665268032e+002 8.9e-009 1.39 46 1.5e-005 1.5e-002 9.3e-004 1.00e+000 1.664913603e+002 1.665255378e+002 8.0e-009 1.42 47 1.4e-005 1.5e-002 8.3e-004 1.00e+000 1.664936374e+002 1.665243962e+002 7.2e-009 1.45 48 1.2e-005 1.4e-002 7.5e-004 1.00e+000 1.664956844e+002 1.665233666e+002 6.5e-009 1.49 49 1.1e-005 1.3e-002 6.8e-004 1.00e+000 1.664975247e+002 1.665224381e+002 5.8e-009 1.52 50 9.9e-006 1.3e-002 6.1e-004 1.00e+000 1.664991793e+002 1.665216011e+002 5.3e-009 1.55 51 8.9e-006 1.2e-002 5.5e-004 1.00e+000 1.665006672e+002 1.665208465e+002 4.7e-009 1.58 52 8.0e-006 1.2e-002 4.9e-004 1.00e+000 1.665020053e+002 1.665201664e+002 4.3e-009 1.61 53 7.2e-006 1.2e-002 4.4e-004 1.00e+000 1.665032086e+002 1.665195535e+002 3.8e-009 1.66 54 6.5e-006 1.1e-002 4.0e-004 1.00e+000 1.665042909e+002 1.665190012e+002 3.5e-009 1.69 55 5.8e-006 1.1e-002 3.6e-004 1.00e+000 1.665052643e+002 1.665185035e+002 3.1e-009 1.72 56 5.3e-006 1.1e-002 3.2e-004 1.00e+000 1.665061399e+002 1.665180551e+002 2.8e-009 1.75 57 4.7e-006 1.0e-002 2.9e-004 1.00e+000 1.665069275e+002 1.665176511e+002 2.5e-009 1.80 58 4.3e-006 1.0e-002 2.6e-004 1.00e+000 1.665076358e+002 1.665172871e+002 2.3e-009 1.83 59 3.8e-006 1.0e-002 2.4e-004 1.00e+000 1.665082729e+002 1.665169591e+002 2.0e-009 1.86 60 3.4e-006 9.8e-003 2.1e-004 1.00e+000 1.665088460e+002 1.665166635e+002 1.8e-009 1.89 61 3.1e-006 9.7e-003 1.9e-004 1.00e+000 1.665093614e+002 1.665163972e+002 1.7e-009 1.92 62 2.8e-006 9.5e-003 1.7e-004 1.00e+000 1.665098250e+002 1.665161572e+002 1.5e-009 1.95 63 2.5e-006 9.4e-003 1.5e-004 1.00e+000 1.665102420e+002 1.665159410e+002 1.3e-009 1.97 64 2.3e-006 9.2e-003 1.4e-004 1.00e+000 1.665106171e+002 1.665157463e+002 1.2e-009 2.00 65 2.0e-006 9.1e-003 1.3e-004 1.00e+000 1.665109546e+002 1.665155709e+002 1.1e-009 2.05 66 1.8e-006 9.0e-003 1.1e-004 1.00e+000 1.665112583e+002 1.665154130e+002 9.8e-010 2.08 67 1.6e-006 8.9e-003 1.0e-004 1.00e+000 1.665115315e+002 1.665152708e+002 8.8e-010 2.11 68 1.5e-006 8.8e-003 9.1e-005 1.00e+000 1.665117773e+002 1.665151427e+002 7.9e-010 2.14 69 1.3e-006 8.8e-003 8.2e-005 1.00e+000 1.665119985e+002 1.665150273e+002 7.1e-010 2.17 70 1.2e-006 8.7e-003 7.4e-005 1.00e+000 1.665121975e+002 1.665149235e+002 6.4e-010 2.20 71 1.1e-006 8.6e-003 6.7e-005 1.00e+000 1.665123766e+002 1.665148300e+002 5.8e-010 2.25 72 9.7e-007 8.6e-003 6.0e-005 1.00e+000 1.665125377e+002 1.665147457e+002 5.2e-010 2.28 73 8.8e-007 8.5e-003 5.4e-005 1.00e+000 1.665126826e+002 1.665146699e+002 4.7e-010 2.33 74 7.9e-007 8.5e-003 4.9e-005 1.00e+000 1.665128130e+002 1.665146016e+002 4.2e-010 2.36 75 7.1e-007 8.4e-003 4.4e-005 1.00e+000 1.665129303e+002 1.665145400e+002 3.8e-010 2.38 76 6.4e-007 8.4e-003 3.9e-005 1.00e+000 1.665130358e+002 1.665144846e+002 3.4e-010 2.41 77 5.7e-007 8.3e-003 3.5e-005 1.00e+000 1.665131308e+002 1.665144346e+002 3.1e-010 2.42 78 5.2e-007 8.3e-003 3.2e-005 1.00e+000 1.665132161e+002 1.665143896e+002 2.8e-010 2.45 79 4.7e-007 8.3e-003 2.9e-005 1.00e+000 1.665132929e+002 1.665143491e+002 2.5e-010 2.47 80 4.2e-007 8.2e-003 2.6e-005 1.00e+000 1.665133620e+002 1.665143125e+002 2.2e-010 2.50 81 3.8e-007 8.2e-003 2.3e-005 1.00e+000 1.665134241e+002 1.665142796e+002 2.0e-010 2.52 82 3.4e-007 8.2e-003 2.1e-005 1.00e+000 1.665134799e+002 1.665142499e+002 1.8e-010 2.55 83 3.1e-007 8.1e-003 1.9e-005 1.00e+000 1.665135302e+002 1.665142232e+002 1.6e-010 2.56 84 2.7e-007 8.1e-003 1.7e-005 1.00e+000 1.665135754e+002 1.665141991e+002 1.5e-010 2.59 85 2.5e-007 8.1e-003 1.5e-005 1.00e+000 1.665136160e+002 1.665141774e+002 1.3e-010 2.61 86 2.2e-007 8.1e-003 1.4e-005 1.00e+000 1.665136526e+002 1.665141578e+002 1.2e-010 2.64 87 2.0e-007 8.1e-003 1.2e-005 1.00e+000 1.665136855e+002 1.665141402e+002 1.1e-010 2.66 88 1.8e-007 8.0e-003 1.1e-005 1.00e+000 1.665137151e+002 1.665141244e+002 9.6e-011 2.67 89 1.6e-007 8.0e-003 1.0e-005 1.00e+000 1.665137418e+002 1.665141101e+002 8.7e-011 2.70 90 1.5e-007 8.0e-003 9.0e-006 1.00e+000 1.665137657e+002 1.665140972e+002 7.8e-011 2.72 91 1.3e-007 8.0e-003 8.1e-006 1.00e+000 1.665137873e+002 1.665140856e+002 7.0e-011 2.73 92 1.2e-007 8.0e-003 7.3e-006 9.99e-001 1.665138067e+002 1.665140752e+002 6.3e-011 2.77 93 1.1e-007 7.9e-003 6.6e-006 9.99e-001 1.665138242e+002 1.665140658e+002 5.7e-011 2.78 94 9.6e-008 7.9e-003 5.9e-006 1.00e+000 1.665138399e+002 1.665140574e+002 5.1e-011 2.80 95 8.6e-008 7.9e-003 5.3e-006 9.99e-001 1.665138540e+002 1.665140498e+002 4.6e-011 2.83 96 7.8e-008 7.9e-003 4.8e-006 9.94e-001 1.665138667e+002 1.665140430e+002 4.1e-011 2.84 97 7.0e-008 7.9e-003 4.3e-006 9.97e-001 1.665138782e+002 1.665140368e+002 3.7e-011 2.86 98 6.3e-008 7.9e-003 3.9e-006 9.98e-001 1.665138885e+002 1.665140313e+002 3.4e-011 2.89 99 5.7e-008 7.1e-003 3.5e-006 1.00e+000 1.665138977e+002 1.665140262e+002 3.0e-011 2.91 100 5.1e-008 6.4e-003 3.1e-006 1.00e+000 1.665139061e+002 1.665140217e+002 2.7e-011 2.92 101 4.6e-008 5.7e-003 2.8e-006 1.00e+000 1.665139136e+002 1.665140177e+002 2.4e-011 2.95 102 4.1e-008 5.2e-003 2.5e-006 9.92e-001 1.665139203e+002 1.665140140e+002 2.2e-011 2.97 103 3.7e-008 4.6e-003 2.3e-006 9.93e-001 1.665139264e+002 1.665140108e+002 2.0e-011 3.00 104 3.4e-008 4.2e-003 2.1e-006 1.02e+000 1.665139322e+002 1.665140076e+002 1.8e-011 3.02 105 3.0e-008 3.8e-003 1.9e-006 9.88e-001 1.665139371e+002 1.665140050e+002 1.6e-011 3.05 106 2.7e-008 3.4e-003 1.7e-006 1.01e+000 1.665139415e+002 1.665140026e+002 1.5e-011 3.08 107 2.5e-008 3.0e-003 1.5e-006 1.01e+000 1.665139455e+002 1.665140004e+002 1.3e-011 3.09 108 2.2e-008 2.7e-003 1.4e-006 9.88e-001 1.665139491e+002 1.665139985e+002 1.2e-011 3.13 109 2.0e-008 2.5e-003 1.2e-006 9.91e-001 1.665139523e+002 1.665139967e+002 1.1e-011 3.14 110 1.8e-008 2.2e-003 1.1e-006 9.95e-001 1.665139551e+002 1.665139952e+002 9.5e-012 3.16 111 1.6e-008 2.0e-003 9.8e-007 1.02e+000 1.665139579e+002 1.665139937e+002 8.6e-012 3.19 112 1.4e-008 1.8e-003 8.9e-007 9.79e-001 1.665139602e+002 1.665139924e+002 7.8e-012 3.20 113 1.4e-008 1.6e-003 8.0e-007 1.01e+000 1.665139623e+002 1.665139913e+002 7.0e-012 3.23 114 1.4e-008 1.5e-003 7.2e-007 9.54e-001 1.665139641e+002 1.665139906e+002 6.3e-012 3.25 115 1.3e-008 1.3e-003 6.5e-007 1.02e+000 1.665139660e+002 1.665139896e+002 5.7e-012 3.28 116 1.4e-008 1.2e-003 5.8e-007 9.65e-001 1.665139674e+002 1.665139892e+002 5.2e-012 3.31 117 1.3e-008 1.1e-003 5.2e-007 9.76e-001 1.665139687e+002 1.665139884e+002 4.7e-012 3.34 118 1.2e-008 9.6e-004 4.7e-007 9.27e-001 1.665139700e+002 1.665139877e+002 4.2e-012 3.36 119 1.1e-008 8.6e-004 4.2e-007 1.00e+000 1.665139711e+002 1.665139871e+002 3.8e-012 3.38 120 1.0e-008 7.7e-004 3.8e-007 8.57e-001 1.665139721e+002 1.665139865e+002 3.4e-012 3.41 121 1.2e-008 7.0e-004 3.4e-007 1.04e+000 1.665139732e+002 1.665139858e+002 3.1e-012 3.42 122 1.0e-008 6.3e-004 3.1e-007 8.69e-001 1.665139739e+002 1.665139853e+002 2.8e-012 3.45 123 1.0e-008 5.6e-004 2.8e-007 1.08e+000 1.665139749e+002 1.665139847e+002 2.6e-012 3.47 124 8.9e-009 5.1e-004 2.5e-007 1.24e+000 1.665139755e+002 1.665139844e+002 2.4e-012 3.50 125 1.2e-008 4.6e-004 2.3e-007 7.69e-001 1.665139760e+002 1.665139843e+002 2.1e-012 3.52 126 1.8e-008 4.5e-004 2.2e-007 8.09e-001 1.665139760e+002 1.665139849e+002 2.1e-012 3.53 127 1.4e-008 4.0e-004 2.0e-007 1.05e+000 1.665139766e+002 1.665139844e+002 1.9e-012 3.56 128 1.4e-008 3.6e-004 1.8e-007 1.56e+000 1.665139771e+002 1.665139842e+002 1.7e-012 3.58 129 1.3e-008 3.3e-004 1.6e-007 1.01e+000 1.665139775e+002 1.665139839e+002 1.6e-012 3.61 130 1.2e-008 2.9e-004 1.4e-007 9.16e-001 1.665139778e+002 1.665139838e+002 1.4e-012 3.63 131 1.1e-008 2.6e-004 1.3e-007 1.06e+000 1.665139782e+002 1.665139834e+002 1.3e-012 3.66 132 9.5e-009 2.4e-004 1.2e-007 9.94e-001 1.665139785e+002 1.665139831e+002 1.2e-012 3.67 133 8.4e-009 2.1e-004 1.1e-007 1.03e+000 1.665139788e+002 1.665139829e+002 1.1e-012 3.70 134 7.7e-009 1.9e-004 9.5e-008 9.19e-001 1.665139791e+002 1.665139827e+002 9.6e-013 3.72 Interior-point optimizer terminated. Time: 3.73. Optimizer terminated. Time: 3.83 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6651397905e+002 nrm: 2e+001 Viol. con: 1e-007 var: 0e+000 Dual. obj: 1.6651398274e+002 nrm: 1e+003 Viol. con: 0e+000 var: 1e-003 * End solution on dual form. * Transforming to primal solution. Solving took 3.85 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.03 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.09 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.06 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230573764e+005 2.000000000e+000 1.0e+000 0.13 1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223407958e+005 2.619868184e+000 7.3e-001 0.16 2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200445154e+005 4.599773780e+000 3.9e-001 0.17 3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110866238e+005 1.974629989e+001 1.3e-001 0.20 4 2.9e+002 3.9e+002 1.6e+004 -7.73e-001 -1.087570921e+005 2.019677783e+003 1.3e-001 0.23 5 1.1e+002 1.6e+002 6.2e+003 -7.62e-001 -8.628524441e+004 6.572653024e+003 5.1e-002 0.25 6 2.9e+001 3.9e+001 1.5e+003 -4.31e-001 -3.583298824e+004 1.241186686e+004 1.3e-002 0.28 7 1.8e+001 2.5e+001 9.9e+002 4.42e-001 -2.572314742e+004 7.437291905e+003 8.2e-003 0.31 8 1.0e+001 1.4e+001 5.5e+002 6.38e-001 -1.538659497e+004 4.402580120e+003 4.6e-003 0.33 9 3.9e+000 5.4e+000 2.1e+002 8.12e-001 -6.037704471e+003 1.965888394e+003 1.8e-003 0.36 10 2.0e+000 2.8e+000 1.1e+002 9.49e-001 -2.981467780e+003 1.206054438e+003 9.1e-004 0.38 11 8.3e-001 1.1e+000 4.5e+001 9.88e-001 -1.104640624e+003 6.251239157e+002 3.8e-004 0.41 12 8.1e-001 1.1e+000 4.4e+001 9.51e-001 -1.096186380e+003 6.036485219e+002 3.7e-004 0.42 13 5.1e-001 7.0e-001 2.8e+001 9.71e-001 -6.485807108e+002 4.328161347e+002 2.3e-004 0.45 14 3.1e-001 4.4e-001 1.7e+001 1.00e+000 -3.267036478e+002 3.428384660e+002 1.5e-004 0.48 15 1.0e-001 1.7e-001 5.9e+000 1.00e+000 -1.399403091e+001 2.122214926e+002 5.0e-005 0.50 16 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.558826989e+001 2.066948269e+002 4.0e-005 0.53 17 5.1e-002 1.0e-001 2.9e+000 1.02e+000 8.246613522e+001 1.911943087e+002 2.4e-005 0.55 18 1.3e-002 1.6e-001 7.2e-001 1.02e+000 1.466224946e+002 1.735083967e+002 6.0e-006 0.58 19 4.1e-003 1.9e-001 2.4e-001 1.00e+000 1.598621645e+002 1.688786603e+002 2.0e-006 0.59 20 2.1e-003 2.2e-001 1.2e-001 1.01e+000 1.631455040e+002 1.676933889e+002 1.0e-006 0.63 21 6.1e-004 1.5e-001 3.7e-002 1.01e+000 1.655067152e+002 1.668797985e+002 3.2e-007 0.64 22 3.6e-004 1.1e-001 2.2e-002 1.00e+000 1.659042672e+002 1.667133408e+002 1.9e-007 0.67 23 2.3e-004 8.1e-002 1.4e-002 9.87e-001 1.661102869e+002 1.666294321e+002 1.2e-007 0.69 24 1.9e-004 6.7e-002 1.2e-002 9.98e-001 1.661771753e+002 1.666074803e+002 1.0e-007 0.70 25 1.7e-004 6.2e-002 1.0e-002 1.01e+000 1.662075877e+002 1.665945995e+002 9.0e-008 0.73 26 1.5e-004 5.6e-002 9.4e-003 1.01e+000 1.662345412e+002 1.665827222e+002 8.1e-008 0.75 27 1.4e-004 5.2e-002 8.5e-003 1.00e+000 1.662588841e+002 1.665722043e+002 7.3e-008 0.77 28 1.2e-004 4.7e-002 7.6e-003 1.00e+000 1.662807059e+002 1.665626584e+002 6.6e-008 0.80 29 1.1e-004 4.3e-002 6.9e-003 1.00e+000 1.663002943e+002 1.665540249e+002 5.9e-008 0.81 30 1.0e-004 4.0e-002 6.2e-003 1.00e+000 1.663178753e+002 1.665462126e+002 5.3e-008 0.84 31 9.0e-005 3.6e-002 5.6e-003 1.00e+000 1.663336561e+002 1.665391445e+002 4.8e-008 0.86 32 8.1e-005 3.3e-002 5.0e-003 1.00e+000 1.663478218e+002 1.665327500e+002 4.3e-008 0.88 33 7.3e-005 3.1e-002 4.5e-003 1.00e+000 1.663605384e+002 1.665269654e+002 3.9e-008 0.91 34 6.6e-005 2.9e-002 4.0e-003 1.00e+000 1.663719550e+002 1.665217331e+002 3.5e-008 0.92 35 5.9e-005 2.6e-002 3.6e-003 1.00e+000 1.663822054e+002 1.665170012e+002 3.1e-008 0.94 36 5.3e-005 2.5e-002 3.3e-003 1.00e+000 1.663914096e+002 1.665127226e+002 2.8e-008 0.97 37 4.8e-005 2.3e-002 3.0e-003 1.00e+000 1.663996752e+002 1.665088545e+002 2.6e-008 0.98 38 4.3e-005 2.1e-002 2.7e-003 1.00e+000 1.664070986e+002 1.665053584e+002 2.3e-008 1.01 39 3.9e-005 2.0e-002 2.4e-003 1.00e+000 1.664137663e+002 1.665021989e+002 2.1e-008 1.03 40 3.5e-005 1.9e-002 2.2e-003 1.00e+000 1.664197557e+002 1.664993443e+002 1.9e-008 1.06 41 3.1e-005 1.8e-002 1.9e-003 1.00e+000 1.664251362e+002 1.664967654e+002 1.7e-008 1.08 42 2.8e-005 1.7e-002 1.7e-003 1.00e+000 1.664299700e+002 1.664944361e+002 1.5e-008 1.09 43 2.5e-005 1.6e-002 1.6e-003 1.00e+000 1.664343131e+002 1.664923324e+002 1.4e-008 1.11 44 2.3e-005 1.5e-002 1.4e-003 1.00e+000 1.664382155e+002 1.664904328e+002 1.2e-008 1.13 45 2.1e-005 1.4e-002 1.3e-003 1.00e+000 1.664417221e+002 1.664887177e+002 1.1e-008 1.14 46 1.9e-005 1.4e-002 1.1e-003 1.00e+000 1.664448733e+002 1.664871694e+002 9.9e-009 1.17 47 1.7e-005 1.3e-002 1.0e-003 1.00e+000 1.664477052e+002 1.664857718e+002 8.9e-009 1.19 48 1.5e-005 1.3e-002 9.3e-004 1.00e+000 1.664502504e+002 1.664845105e+002 8.0e-009 1.20 49 1.4e-005 1.2e-002 8.3e-004 1.00e+000 1.664525381e+002 1.664833723e+002 7.2e-009 1.22 50 1.2e-005 1.2e-002 7.5e-004 1.00e+000 1.664545944e+002 1.664823454e+002 6.5e-009 1.23 51 1.1e-005 1.1e-002 6.8e-004 1.00e+000 1.664564430e+002 1.664814191e+002 5.8e-009 1.25 52 9.8e-006 1.1e-002 6.1e-004 1.00e+000 1.664581049e+002 1.664805835e+002 5.3e-009 1.28 53 8.9e-006 1.1e-002 5.5e-004 1.00e+000 1.664595991e+002 1.664798300e+002 4.7e-009 1.30 54 8.0e-006 1.1e-002 4.9e-004 1.00e+000 1.664609425e+002 1.664791505e+002 4.3e-009 1.31 55 7.2e-006 1.0e-002 4.4e-004 1.00e+000 1.664621505e+002 1.664785379e+002 3.8e-009 1.34 56 6.5e-006 1.0e-002 4.0e-004 1.00e+000 1.664632369e+002 1.664779856e+002 3.5e-009 1.36 57 5.8e-006 9.9e-003 3.6e-004 1.00e+000 1.664642138e+002 1.664774878e+002 3.1e-009 1.38 58 5.2e-006 9.8e-003 3.2e-004 1.00e+000 1.664650924e+002 1.664770391e+002 2.8e-009 1.39 59 4.7e-006 9.6e-003 2.9e-004 1.00e+000 1.664658826e+002 1.664766347e+002 2.5e-009 1.42 60 4.2e-006 9.5e-003 2.6e-004 1.00e+000 1.664665933e+002 1.664762703e+002 2.3e-009 1.44 61 3.8e-006 9.3e-003 2.4e-004 1.00e+000 1.664672325e+002 1.664759419e+002 2.0e-009 1.45 62 3.4e-006 9.2e-003 2.1e-004 1.00e+000 1.664678073e+002 1.664756458e+002 1.8e-009 1.48 63 3.1e-006 9.1e-003 1.9e-004 1.00e+000 1.664683243e+002 1.664753791e+002 1.7e-009 1.51 64 2.8e-006 9.0e-003 1.7e-004 1.00e+000 1.664687894e+002 1.664751387e+002 1.5e-009 1.55 65 2.5e-006 8.9e-003 1.5e-004 1.00e+000 1.664692077e+002 1.664749221e+002 1.3e-009 1.58 66 2.3e-006 8.8e-003 1.4e-004 1.00e+000 1.664695840e+002 1.664747271e+002 1.2e-009 1.61 67 2.0e-006 8.7e-003 1.3e-004 1.00e+000 1.664699226e+002 1.664745514e+002 1.1e-009 1.64 68 1.8e-006 8.7e-003 1.1e-004 1.00e+000 1.664702272e+002 1.664743931e+002 9.8e-010 1.67 69 1.6e-006 8.6e-003 1.0e-004 1.00e+000 1.664705013e+002 1.664742507e+002 8.8e-010 1.70 70 1.5e-006 8.5e-003 9.1e-005 1.00e+000 1.664707478e+002 1.664741223e+002 7.9e-010 1.75 71 1.3e-006 8.5e-003 8.2e-005 1.00e+000 1.664709697e+002 1.664740068e+002 7.1e-010 1.76 72 1.2e-006 8.4e-003 7.4e-005 1.00e+000 1.664711694e+002 1.664739027e+002 6.4e-010 1.80 73 1.1e-006 8.4e-003 6.7e-005 1.00e+000 1.664713490e+002 1.664738090e+002 5.8e-010 1.84 74 9.7e-007 8.3e-003 6.0e-005 1.00e+000 1.664715106e+002 1.664737247e+002 5.2e-010 1.88 75 8.7e-007 8.3e-003 5.4e-005 1.00e+000 1.664716560e+002 1.664736487e+002 4.7e-010 1.91 76 7.9e-007 8.2e-003 4.9e-005 1.00e+000 1.664717868e+002 1.664735802e+002 4.2e-010 1.94 77 7.1e-007 8.2e-003 4.4e-005 1.00e+000 1.664719045e+002 1.664735186e+002 3.8e-010 1.97 78 6.4e-007 8.2e-003 3.9e-005 1.00e+000 1.664720104e+002 1.664734631e+002 3.4e-010 2.00 79 5.7e-007 8.1e-003 3.5e-005 1.00e+000 1.664721056e+002 1.664734130e+002 3.1e-010 2.03 80 5.2e-007 8.1e-003 3.2e-005 1.00e+000 1.664721913e+002 1.664733680e+002 2.8e-010 2.06 81 4.6e-007 8.1e-003 2.9e-005 1.00e+000 1.664722683e+002 1.664733274e+002 2.5e-010 2.09 82 4.2e-007 8.0e-003 2.6e-005 1.00e+000 1.664723376e+002 1.664732908e+002 2.2e-010 2.13 83 3.8e-007 8.0e-003 2.3e-005 1.00e+000 1.664724000e+002 1.664732578e+002 2.0e-010 2.16 84 3.4e-007 8.0e-003 2.1e-005 1.00e+000 1.664724560e+002 1.664732281e+002 1.8e-010 2.17 85 3.0e-007 8.0e-003 1.9e-005 1.00e+000 1.664725065e+002 1.664732014e+002 1.6e-010 2.20 86 2.7e-007 7.9e-003 1.7e-005 1.00e+000 1.664725519e+002 1.664731773e+002 1.5e-010 2.23 87 2.5e-007 7.9e-003 1.5e-005 1.00e+000 1.664725927e+002 1.664731556e+002 1.3e-010 2.25 88 2.2e-007 7.9e-003 1.4e-005 1.00e+000 1.664726295e+002 1.664731360e+002 1.2e-010 2.28 89 2.0e-007 7.9e-003 1.2e-005 1.00e+000 1.664726625e+002 1.664731185e+002 1.1e-010 2.31 90 1.8e-007 7.9e-003 1.1e-005 1.00e+000 1.664726923e+002 1.664731026e+002 9.6e-011 2.34 91 1.6e-007 7.8e-003 1.0e-005 1.00e+000 1.664727190e+002 1.664730884e+002 8.7e-011 2.38 92 1.5e-007 7.8e-003 9.0e-006 1.00e+000 1.664727431e+002 1.664730755e+002 7.8e-011 2.41 93 1.3e-007 7.8e-003 8.1e-006 1.00e+000 1.664727648e+002 1.664730640e+002 7.0e-011 2.44 94 1.2e-007 7.8e-003 7.3e-006 1.00e+000 1.664727843e+002 1.664730536e+002 6.3e-011 2.47 95 1.1e-007 7.8e-003 6.6e-006 1.00e+000 1.664728019e+002 1.664730442e+002 5.7e-011 2.50 96 9.5e-008 7.8e-003 5.9e-006 1.00e+000 1.664728177e+002 1.664730358e+002 5.1e-011 2.52 97 8.6e-008 7.8e-003 5.3e-006 1.00e+000 1.664728319e+002 1.664730282e+002 4.6e-011 2.55 98 7.7e-008 7.7e-003 4.8e-006 1.00e+000 1.664728447e+002 1.664730213e+002 4.1e-011 2.56 99 7.0e-008 7.7e-003 4.3e-006 1.00e+000 1.664728562e+002 1.664730152e+002 3.7e-011 2.59 100 6.3e-008 7.7e-003 3.9e-006 1.00e+000 1.664728666e+002 1.664730097e+002 3.4e-011 2.63 101 5.6e-008 7.7e-003 3.5e-006 9.99e-001 1.664728759e+002 1.664730047e+002 3.0e-011 2.66 102 5.1e-008 7.7e-003 3.1e-006 1.00e+000 1.664728843e+002 1.664730002e+002 2.7e-011 2.69 103 4.6e-008 7.7e-003 2.8e-006 1.00e+000 1.664728918e+002 1.664729962e+002 2.4e-011 2.70 104 4.1e-008 7.7e-003 2.5e-006 1.00e+000 1.664728986e+002 1.664729925e+002 2.2e-011 2.73 105 3.7e-008 7.7e-003 2.3e-006 1.00e+000 1.664729047e+002 1.664729892e+002 2.0e-011 2.77 106 3.3e-008 7.7e-003 2.1e-006 9.99e-001 1.664729102e+002 1.664729863e+002 1.8e-011 2.78 107 3.0e-008 7.7e-003 1.9e-006 1.00e+000 1.664729152e+002 1.664729837e+002 1.6e-011 2.81 108 2.7e-008 7.6e-003 1.7e-006 1.00e+000 1.664729197e+002 1.664729813e+002 1.4e-011 2.83 109 2.4e-008 7.6e-003 1.5e-006 1.00e+000 1.664729237e+002 1.664729791e+002 1.3e-011 2.86 110 2.2e-008 7.6e-003 1.4e-006 1.00e+000 1.664729273e+002 1.664729772e+002 1.2e-011 2.88 111 2.0e-008 7.6e-003 1.2e-006 9.99e-001 1.664729305e+002 1.664729754e+002 1.1e-011 2.91 112 1.8e-008 7.6e-003 1.1e-006 9.98e-001 1.664729335e+002 1.664729739e+002 9.5e-012 2.94 113 1.6e-008 6.8e-003 9.9e-007 1.01e+000 1.664729361e+002 1.664729724e+002 8.5e-012 2.95 114 1.4e-008 6.2e-003 8.9e-007 1.00e+000 1.664729385e+002 1.664729712e+002 7.7e-012 2.98 115 1.3e-008 5.5e-003 8.0e-007 1.00e+000 1.664729407e+002 1.664729700e+002 6.9e-012 3.00 116 1.2e-008 5.0e-003 7.2e-007 1.01e+000 1.664729426e+002 1.664729690e+002 6.2e-012 3.03 117 1.0e-008 4.5e-003 6.5e-007 1.01e+000 1.664729444e+002 1.664729680e+002 5.6e-012 3.05 118 9.4e-009 4.0e-003 5.8e-007 1.01e+000 1.664729460e+002 1.664729672e+002 5.1e-012 3.08 119 8.5e-009 3.6e-003 5.2e-007 9.87e-001 1.664729474e+002 1.664729664e+002 4.6e-012 3.09 120 7.6e-009 3.3e-003 4.7e-007 1.01e+000 1.664729486e+002 1.664729657e+002 4.1e-012 3.13 121 1.7e-007 3.2e-003 4.7e-007 9.97e-001 1.664729482e+002 1.664729672e+002 4.0e-012 3.14 122 1.3e-007 2.9e-003 4.2e-007 1.00e+000 1.664729494e+002 1.664729667e+002 3.6e-012 3.17 123 1.1e-007 2.6e-003 3.8e-007 1.01e+000 1.664729505e+002 1.664729654e+002 3.3e-012 3.19 124 1.0e-007 2.4e-003 3.4e-007 8.26e-001 1.664729512e+002 1.664729664e+002 2.9e-012 3.22 125 9.1e-008 2.1e-003 3.1e-007 1.01e+000 1.664729521e+002 1.664729657e+002 2.7e-012 3.23 126 8.1e-008 1.9e-003 2.8e-007 1.00e+000 1.664729528e+002 1.664729651e+002 2.4e-012 3.27 127 7.8e-008 1.7e-003 2.5e-007 1.00e+000 1.664729535e+002 1.664729647e+002 2.2e-012 3.28 128 6.9e-008 1.5e-003 2.2e-007 9.76e-001 1.664729542e+002 1.664729642e+002 1.9e-012 3.31 129 6.2e-008 1.4e-003 2.0e-007 9.64e-001 1.664729547e+002 1.664729638e+002 1.7e-012 3.33 130 5.6e-008 1.3e-003 1.8e-007 1.04e+000 1.664729553e+002 1.664729633e+002 1.6e-012 3.36 131 5.0e-008 1.1e-003 1.6e-007 1.01e+000 1.664729558e+002 1.664729630e+002 1.4e-012 3.38 132 4.5e-008 1.0e-003 1.5e-007 1.00e+000 1.664729562e+002 1.664729627e+002 1.3e-012 3.41 133 4.1e-008 9.1e-004 1.3e-007 9.79e-001 1.664729565e+002 1.664729624e+002 1.2e-012 3.42 134 3.7e-008 8.2e-004 1.2e-007 1.01e+000 1.664729569e+002 1.664729621e+002 1.1e-012 3.45 135 3.3e-008 7.4e-004 1.1e-007 9.76e-001 1.664729572e+002 1.664729619e+002 9.5e-013 3.47 Interior-point optimizer terminated. Time: 3.48. Optimizer terminated. Time: 3.50 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6647295717e+002 nrm: 2e+001 Viol. con: 7e-007 var: 0e+000 Dual. obj: 1.6647296188e+002 nrm: 1e+003 Viol. con: 0e+000 var: 6e-003 * End solution on dual form. * Transforming to primal solution. Solving took 3.53 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.02 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.05 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.03 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230568264e+005 2.000000000e+000 1.0e+000 0.06 1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223406222e+005 2.619260937e+000 7.3e-001 0.11 2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200441379e+005 4.598229087e+000 3.9e-001 0.14 3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110658688e+005 1.975346924e+001 1.3e-001 0.19 4 2.9e+002 3.9e+002 1.6e+004 -7.73e-001 -1.087406704e+005 2.016142783e+003 1.3e-001 0.22 5 1.1e+002 1.6e+002 6.1e+003 -7.62e-001 -8.615770255e+004 6.585574601e+003 5.0e-002 0.25 6 2.7e+001 3.7e+001 1.5e+003 -4.29e-001 -3.436175323e+004 1.253925343e+004 1.2e-002 0.28 7 1.8e+001 2.4e+001 9.5e+002 4.70e-001 -2.476901477e+004 7.290879780e+003 7.8e-003 0.31 8 1.0e+001 1.4e+001 5.5e+002 6.54e-001 -1.533754824e+004 4.443582127e+003 4.6e-003 0.36 9 4.0e+000 5.5e+000 2.2e+002 8.12e-001 -6.190011493e+003 2.005564476e+003 1.8e-003 0.39 10 2.1e+000 2.8e+000 1.1e+002 9.47e-001 -3.026314123e+003 1.210601991e+003 9.2e-004 0.42 11 8.5e-001 1.2e+000 4.6e+001 9.87e-001 -1.130583464e+003 6.381531484e+002 3.9e-004 0.45 12 8.2e-001 1.1e+000 4.5e+001 9.54e-001 -1.118112022e+003 6.145560074e+002 3.7e-004 0.48 13 5.2e-001 7.2e-001 2.9e+001 9.69e-001 -6.761445535e+002 4.421487242e+002 2.4e-004 0.52 14 3.4e-001 4.7e-001 1.9e+001 1.00e+000 -3.592549882e+002 3.572711318e+002 1.5e-004 0.55 15 1.1e-001 1.8e-001 6.0e+000 9.98e-001 -1.691872726e+001 2.138629761e+002 5.0e-005 0.58 16 8.4e-002 1.4e-001 4.7e+000 1.02e+000 2.560580023e+001 2.063025694e+002 4.0e-005 0.61 17 5.5e-002 9.7e-002 3.1e+000 1.02e+000 7.579654166e+001 1.932487751e+002 2.6e-005 0.64 18 1.8e-002 8.6e-002 1.0e+000 1.02e+000 1.380178915e+002 1.757357332e+002 8.5e-006 0.67 19 7.4e-003 8.2e-002 4.2e-001 1.01e+000 1.543619183e+002 1.702182255e+002 3.6e-006 0.70 20 1.7e-003 1.7e-001 1.0e-001 1.01e+000 1.636864231e+002 1.675522275e+002 8.7e-007 0.73 21 1.1e-003 1.2e-001 6.5e-002 9.75e-001 1.647140666e+002 1.671367631e+002 5.5e-007 0.77 22 3.9e-004 1.2e-001 2.4e-002 9.85e-001 1.658195163e+002 1.667299609e+002 2.1e-007 0.80 23 1.7e-004 1.0e-001 1.1e-002 1.00e+000 1.661743800e+002 1.665700425e+002 9.1e-008 0.83 24 6.6e-005 9.1e-002 4.3e-003 1.01e+000 1.663383579e+002 1.664964209e+002 3.7e-008 0.86 25 3.1e-005 8.1e-002 2.0e-003 1.01e+000 1.663958927e+002 1.664703184e+002 1.8e-008 0.89 26 2.8e-005 7.4e-002 1.8e-003 1.01e+000 1.664018934e+002 1.664689154e+002 1.6e-008 0.92 27 2.5e-005 6.7e-002 1.6e-003 1.01e+000 1.664063325e+002 1.664666282e+002 1.4e-008 0.95 28 2.3e-005 6.1e-002 1.5e-003 1.01e+000 1.664104284e+002 1.664646821e+002 1.3e-008 0.98 29 2.0e-005 5.6e-002 1.3e-003 1.01e+000 1.664140921e+002 1.664629088e+002 1.1e-008 1.02 30 1.8e-005 5.1e-002 1.2e-003 1.01e+000 1.664173860e+002 1.664613115e+002 1.0e-008 1.05 31 1.6e-005 4.7e-002 1.1e-003 1.01e+000 1.664203446e+002 1.664598695e+002 9.3e-009 1.08 32 1.5e-005 4.3e-002 9.6e-004 1.00e+000 1.664230029e+002 1.664585687e+002 8.4e-009 1.09 33 1.3e-005 4.0e-002 8.7e-004 1.00e+000 1.664253915e+002 1.664573951e+002 7.5e-009 1.13 34 1.2e-005 3.6e-002 7.8e-004 1.00e+000 1.664275379e+002 1.664563365e+002 6.8e-009 1.16 35 1.1e-005 3.4e-002 7.0e-004 1.00e+000 1.664294669e+002 1.664553817e+002 6.1e-009 1.19 36 9.7e-006 3.1e-002 6.3e-004 1.00e+000 1.664312006e+002 1.664545206e+002 5.5e-009 1.22 37 8.7e-006 2.9e-002 5.7e-004 1.00e+000 1.664327590e+002 1.664537442e+002 5.0e-009 1.25 38 7.8e-006 2.7e-002 5.1e-004 1.00e+000 1.664341598e+002 1.664530442e+002 4.5e-009 1.28 39 7.1e-006 2.5e-002 4.6e-004 1.00e+000 1.664354191e+002 1.664524131e+002 4.0e-009 1.31 40 6.4e-006 2.3e-002 4.1e-004 1.00e+000 1.664365512e+002 1.664518443e+002 3.6e-009 1.34 41 5.7e-006 2.2e-002 3.7e-004 1.00e+000 1.664375692e+002 1.664513316e+002 3.2e-009 1.38 42 5.1e-006 2.0e-002 3.4e-004 1.00e+000 1.664384844e+002 1.664508695e+002 2.9e-009 1.41 43 4.6e-006 1.9e-002 3.0e-004 1.00e+000 1.664393075e+002 1.664504531e+002 2.6e-009 1.44 44 4.2e-006 1.8e-002 2.7e-004 1.00e+000 1.664400476e+002 1.664500779e+002 2.4e-009 1.47 45 3.8e-006 1.7e-002 2.4e-004 1.00e+000 1.664407131e+002 1.664497397e+002 2.1e-009 1.50 46 3.4e-006 1.6e-002 2.2e-004 1.00e+000 1.664413115e+002 1.664494350e+002 1.9e-009 1.52 47 3.0e-006 1.5e-002 2.0e-004 1.00e+000 1.664418497e+002 1.664491603e+002 1.7e-009 1.55 48 2.7e-006 1.5e-002 1.8e-004 1.00e+000 1.664423337e+002 1.664489129e+002 1.6e-009 1.58 49 2.5e-006 1.4e-002 1.6e-004 1.00e+000 1.664427691e+002 1.664486900e+002 1.4e-009 1.61 50 2.2e-006 1.3e-002 1.4e-004 1.00e+000 1.664431607e+002 1.664484893e+002 1.3e-009 1.64 51 2.0e-006 1.3e-002 1.3e-004 1.00e+000 1.664435130e+002 1.664483085e+002 1.1e-009 1.67 52 1.8e-006 1.2e-002 1.2e-004 1.00e+000 1.664438299e+002 1.664481457e+002 1.0e-009 1.70 53 1.6e-006 1.2e-002 1.1e-004 1.00e+000 1.664441151e+002 1.664479992e+002 9.2e-010 1.74 54 1.5e-006 1.1e-002 9.5e-005 1.00e+000 1.664443717e+002 1.664478672e+002 8.3e-010 1.77 55 1.3e-006 1.1e-002 8.5e-005 1.00e+000 1.664446025e+002 1.664477484e+002 7.4e-010 1.78 56 1.2e-006 1.1e-002 7.7e-005 1.00e+000 1.664448102e+002 1.664476414e+002 6.7e-010 1.81 57 1.1e-006 1.0e-002 6.9e-005 1.00e+000 1.664449971e+002 1.664475451e+002 6.0e-010 1.84 58 9.5e-007 1.0e-002 6.2e-005 1.00e+000 1.664451653e+002 1.664474584e+002 5.4e-010 1.88 59 8.6e-007 1.0e-002 5.6e-005 1.00e+000 1.664453166e+002 1.664473803e+002 4.9e-010 1.92 60 7.7e-007 9.7e-003 5.0e-005 1.00e+000 1.664454527e+002 1.664473101e+002 4.4e-010 1.95 61 7.0e-007 9.5e-003 4.5e-005 1.00e+000 1.664455752e+002 1.664472468e+002 4.0e-010 1.99 62 6.3e-007 9.4e-003 4.1e-005 1.00e+000 1.664456854e+002 1.664471898e+002 3.6e-010 2.03 63 5.6e-007 9.2e-003 3.7e-005 1.00e+000 1.664457845e+002 1.664471384e+002 3.2e-010 2.06 64 5.1e-007 9.1e-003 3.3e-005 1.00e+000 1.664458737e+002 1.664470922e+002 2.9e-010 2.11 65 4.6e-007 8.9e-003 3.0e-005 1.00e+000 1.664459539e+002 1.664470505e+002 2.6e-010 2.16 66 4.1e-007 8.8e-003 2.7e-005 1.00e+000 1.664460260e+002 1.664470130e+002 2.3e-010 2.20 67 3.7e-007 8.7e-003 2.4e-005 1.00e+000 1.664460909e+002 1.664469792e+002 2.1e-010 2.25 68 3.3e-007 8.6e-003 2.2e-005 1.00e+000 1.664461493e+002 1.664469488e+002 1.9e-010 2.28 69 3.0e-007 8.5e-003 2.0e-005 1.00e+000 1.664462018e+002 1.664469213e+002 1.7e-010 2.33 70 2.7e-007 8.5e-003 1.8e-005 1.00e+000 1.664462491e+002 1.664468966e+002 1.5e-010 2.36 71 2.4e-007 8.4e-003 1.6e-005 1.00e+000 1.664462916e+002 1.664468744e+002 1.4e-010 2.41 72 2.2e-007 8.3e-003 1.4e-005 1.00e+000 1.664463299e+002 1.664468544e+002 1.2e-010 2.45 73 2.0e-007 8.3e-003 1.3e-005 1.00e+000 1.664463643e+002 1.664468364e+002 1.1e-010 2.50 74 1.8e-007 8.2e-003 1.2e-005 1.00e+000 1.664463953e+002 1.664468201e+002 1.0e-010 2.53 75 1.6e-007 8.1e-003 1.0e-005 1.00e+000 1.664464231e+002 1.664468055e+002 9.0e-011 2.56 76 1.4e-007 8.1e-003 9.3e-006 1.00e+000 1.664464482e+002 1.664467924e+002 8.1e-011 2.59 77 1.3e-007 8.1e-003 8.4e-006 1.00e+000 1.664464708e+002 1.664467805e+002 7.3e-011 2.64 78 1.2e-007 8.0e-003 7.6e-006 1.00e+000 1.664464911e+002 1.664467699e+002 6.6e-011 2.69 79 1.0e-007 8.0e-003 6.8e-006 1.00e+000 1.664465094e+002 1.664467603e+002 5.9e-011 2.73 80 9.4e-008 7.9e-003 6.1e-006 1.00e+000 1.664465258e+002 1.664467517e+002 5.3e-011 2.77 81 8.5e-008 7.9e-003 5.5e-006 9.99e-001 1.664465406e+002 1.664467439e+002 4.8e-011 2.81 82 7.6e-008 7.9e-003 5.0e-006 1.00e+000 1.664465540e+002 1.664467369e+002 4.3e-011 2.86 83 6.8e-008 7.9e-003 4.5e-006 1.00e+000 1.664465659e+002 1.664467306e+002 3.9e-011 2.91 84 6.2e-008 7.8e-003 4.0e-006 1.00e+000 1.664465767e+002 1.664467249e+002 3.5e-011 2.94 85 5.5e-008 7.8e-003 3.6e-006 9.99e-001 1.664465864e+002 1.664467198e+002 3.2e-011 2.98 86 5.0e-008 7.8e-003 3.3e-006 1.00e+000 1.664465952e+002 1.664467152e+002 2.8e-011 3.03 87 4.5e-008 7.8e-003 2.9e-006 1.00e+000 1.664466031e+002 1.664467111e+002 2.6e-011 3.08 88 4.0e-008 7.8e-003 2.6e-006 9.99e-001 1.664466101e+002 1.664467074e+002 2.3e-011 3.11 89 3.6e-008 7.7e-003 2.4e-006 1.00e+000 1.664466165e+002 1.664467040e+002 2.1e-011 3.16 90 3.3e-008 7.7e-003 2.1e-006 1.00e+000 1.664466222e+002 1.664467010e+002 1.9e-011 3.20 91 2.9e-008 7.7e-003 1.9e-006 9.99e-001 1.664466274e+002 1.664466983e+002 1.7e-011 3.25 92 2.7e-008 7.7e-003 1.7e-006 9.98e-001 1.664466320e+002 1.664466958e+002 1.5e-011 3.28 93 2.4e-008 7.7e-003 1.6e-006 1.00e+000 1.664466362e+002 1.664466936e+002 1.4e-011 3.33 94 2.2e-008 7.7e-003 1.4e-006 9.97e-001 1.664466400e+002 1.664466917e+002 1.2e-011 3.38 95 1.9e-008 7.7e-003 1.3e-006 9.99e-001 1.664466433e+002 1.664466899e+002 1.1e-011 3.41 96 1.7e-008 7.6e-003 1.1e-006 9.97e-001 1.664466464e+002 1.664466883e+002 9.9e-012 3.45 97 1.6e-008 7.6e-003 1.0e-006 1.00e+000 1.664466491e+002 1.664466868e+002 8.9e-012 3.48 98 1.4e-008 7.6e-003 9.2e-007 9.98e-001 1.664466516e+002 1.664466855e+002 8.0e-012 3.53 99 1.3e-008 7.6e-003 8.3e-007 9.99e-001 1.664466538e+002 1.664466844e+002 7.2e-012 3.58 100 1.1e-008 7.6e-003 7.5e-007 1.00e+000 1.664466558e+002 1.664466833e+002 6.5e-012 3.63 101 1.0e-008 7.6e-003 6.7e-007 9.96e-001 1.664466576e+002 1.664466824e+002 5.8e-012 3.67 102 9.3e-009 7.6e-003 6.0e-007 9.96e-001 1.664466592e+002 1.664466815e+002 5.3e-012 3.70 103 8.3e-009 7.6e-003 5.4e-007 9.99e-001 1.664466607e+002 1.664466807e+002 4.7e-012 3.75 104 7.5e-009 6.8e-003 4.9e-007 1.00e+000 1.664466620e+002 1.664466800e+002 4.3e-012 3.78 105 6.8e-009 6.1e-003 4.4e-007 1.00e+000 1.664466632e+002 1.664466794e+002 3.8e-012 3.81 106 6.1e-009 5.5e-003 4.0e-007 1.00e+000 1.664466643e+002 1.664466788e+002 3.5e-012 3.84 107 5.6e-009 5.0e-003 3.6e-007 1.00e+000 1.664466652e+002 1.664466783e+002 3.1e-012 3.89 108 5.1e-009 4.5e-003 3.2e-007 9.86e-001 1.664466661e+002 1.664466779e+002 2.8e-012 3.92 109 4.6e-009 4.0e-003 2.9e-007 1.00e+000 1.664466669e+002 1.664466775e+002 2.5e-012 3.97 110 8.0e-009 2.4e-004 1.7e-008 9.33e-001 1.664466737e+002 1.664466744e+002 3.2e-013 4.00 Interior-point optimizer terminated. Time: 4.00. Optimizer terminated. Time: 4.09 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6644667370e+002 nrm: 2e+001 Viol. con: 2e-007 var: 0e+000 Dual. obj: 1.6644667440e+002 nrm: 1e+003 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 4.12 seconds. Using solver 'mosek' Solving for 1773 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (312) of matrix 'A'. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1774 Cones : 0 Scalar variables : 6156 Matrix variables : 0 Integer variables : 0 Optimizer started. Interior-point optimizer started. Presolve started. Linear dependency checker started. Linear dependency checker terminated. Eliminator started. Freed constraints in eliminator : 471 Eliminator terminated. Eliminator started. Freed constraints in eliminator : 8 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.05 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Optimizer - threads : 6 Optimizer - solved problem : the primal Optimizer - Constraints : 882 Optimizer - Cones : 0 Optimizer - Scalar variables : 3480 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.08 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.05 Factor - nonzeros before factor : 1.50e+004 after factor : 1.56e+005 Factor - dense dim. : 0 flops : 3.20e+007 Factor - GP saved nzs : 3.39e+004 GP saved flops : 9.49e+005 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+003 3.1e+003 1.2e+005 0.00e+000 -1.230556877e+005 2.000000000e+000 1.0e+000 0.13 1 1.7e+003 2.3e+003 9.0e+004 -9.71e-001 -1.223396400e+005 2.618942788e+000 7.3e-001 0.17 2 8.8e+002 1.2e+003 4.7e+004 -9.60e-001 -1.200425097e+005 4.597751867e+000 3.9e-001 0.22 3 2.9e+002 4.0e+002 1.6e+004 -9.22e-001 -1.110497779e+005 1.975996866e+001 1.3e-001 0.27 4 2.9e+002 3.9e+002 1.6e+004 -7.73e-001 -1.087273163e+005 2.014074912e+003 1.3e-001 0.30 5 1.1e+002 1.6e+002 6.1e+003 -7.61e-001 -8.606600173e+004 6.594232107e+003 5.0e-002 0.34 6 2.7e+001 3.7e+001 1.4e+003 -4.27e-001 -3.352610494e+004 1.260601573e+004 1.2e-002 0.38 7 1.7e+001 2.3e+001 9.3e+002 4.86e-001 -2.417049779e+004 7.168729251e+003 7.6e-003 0.41 8 1.0e+001 1.4e+001 5.5e+002 6.65e-001 -1.525750460e+004 4.449047257e+003 4.5e-003 0.45 9 4.0e+000 5.5e+000 2.2e+002 8.13e-001 -6.213075892e+003 2.014054629e+003 1.8e-003 0.48 10 2.1e+000 2.8e+000 1.1e+002 9.46e-001 -3.043146876e+003 1.210466588e+003 9.3e-004 0.53 11 8.6e-001 1.2e+000 4.7e+001 9.86e-001 -1.148014656e+003 6.424147947e+002 3.9e-004 0.58 12 8.3e-001 1.1e+000 4.5e+001 9.55e-001 -1.133116827e+003 6.176926835e+002 3.8e-004 0.61 13 5.3e-001 7.3e-001 2.9e+001 9.68e-001 -6.863038410e+002 4.440647492e+002 2.4e-004 0.64 14 3.4e-001 4.8e-001 1.9e+001 1.00e+000 -3.701553049e+002 3.620745463e+002 1.6e-004 0.67 15 1.1e-001 1.8e-001 6.0e+000 9.96e-001 -1.750009911e+001 2.143231316e+002 5.1e-005 0.70 16 8.3e-002 1.4e-001 4.7e+000 1.02e+000 2.671315724e+001 2.056521292e+002 3.9e-005 0.73 17 4.2e-002 9.1e-002 2.3e+000 1.02e+000 9.827528863e+001 1.872952864e+002 2.0e-005 0.75 18 1.1e-002 1.8e-001 6.1e-001 1.02e+000 1.497275259e+002 1.725907188e+002 5.1e-006 0.78 19 5.2e-003 1.8e-001 3.0e-001 1.01e+000 1.581523988e+002 1.693399952e+002 2.5e-006 0.81 20 1.6e-003 1.3e-001 9.4e-002 1.01e+000 1.639221174e+002 1.674311339e+002 8.0e-007 0.84 21 6.7e-004 9.4e-002 4.0e-002 1.00e+000 1.653682623e+002 1.668603303e+002 3.4e-007 0.88 22 2.4e-004 9.5e-002 1.5e-002 1.01e+000 1.660422807e+002 1.665979645e+002 1.3e-007 0.89 23 9.6e-005 9.1e-002 6.0e-003 1.01e+000 1.662765126e+002 1.664984250e+002 5.2e-008 0.92 24 3.8e-005 9.1e-002 2.4e-003 1.01e+000 1.663684737e+002 1.664568468e+002 2.1e-008 0.98 25 1.8e-005 8.2e-002 1.1e-003 1.01e+000 1.664010810e+002 1.664419035e+002 9.8e-009 1.02 26 1.6e-005 7.5e-002 1.0e-003 1.00e+000 1.664044101e+002 1.664411662e+002 8.8e-009 1.05 27 1.4e-005 6.8e-002 9.0e-004 1.01e+000 1.664068467e+002 1.664399183e+002 7.9e-009 1.08 28 1.3e-005 6.2e-002 8.1e-004 1.00e+000 1.664090788e+002 1.664388380e+002 7.1e-009 1.11 29 1.1e-005 5.7e-002 7.3e-004 1.00e+000 1.664110789e+002 1.664378575e+002 6.4e-009 1.14 30 1.0e-005 5.2e-002 6.6e-004 1.00e+000 1.664128770e+002 1.664369740e+002 5.8e-009 1.19 31 9.3e-006 4.7e-002 5.9e-004 1.00e+000 1.664144929e+002 1.664361771e+002 5.2e-009 1.22 32 8.4e-006 4.3e-002 5.3e-004 1.00e+000 1.664159453e+002 1.664354586e+002 4.7e-009 1.25 33 7.5e-006 4.0e-002 4.8e-004 1.00e+000 1.664172509e+002 1.664348107e+002 4.2e-009 1.30 34 6.8e-006 3.7e-002 4.3e-004 1.00e+000 1.664184244e+002 1.664342266e+002 3.8e-009 1.33 35 6.1e-006 3.4e-002 3.9e-004 1.00e+000 1.664194795e+002 1.664337001e+002 3.4e-009 1.38 36 5.5e-006 3.1e-002 3.5e-004 1.00e+000 1.664204280e+002 1.664332254e+002 3.1e-009 1.41 37 4.9e-006 2.9e-002 3.1e-004 1.00e+000 1.664212808e+002 1.664327976e+002 2.8e-009 1.45 38 4.5e-006 2.7e-002 2.8e-004 1.00e+000 1.664220476e+002 1.664324120e+002 2.5e-009 1.49 39 4.0e-006 2.5e-002 2.5e-004 1.00e+000 1.664227370e+002 1.664320643e+002 2.2e-009 1.53 40 3.6e-006 2.3e-002 2.3e-004 1.00e+000 1.664233568e+002 1.664317509e+002 2.0e-009 1.56 41 3.2e-006 2.2e-002 2.1e-004 1.00e+000 1.664239141e+002 1.664314685e+002 1.8e-009 1.59 42 2.9e-006 2.0e-002 1.9e-004 1.00e+000 1.664244153e+002 1.664312138e+002 1.6e-009 1.64 43 2.6e-006 1.9e-002 1.7e-004 1.00e+000 1.664248659e+002 1.664309844e+002 1.5e-009 1.67 44 2.4e-006 1.8e-002 1.5e-004 1.00e+000 1.664252712e+002 1.664307777e+002 1.3e-009 1.72 45 2.1e-006 1.7e-002 1.4e-004 1.00e+000 1.664256358e+002 1.664305914e+002 1.2e-009 1.75 46 1.9e-006 1.6e-002 1.2e-004 1.00e+000 1.664259637e+002 1.664304237e+002 1.1e-009 1.80 47 1.7e-006 1.5e-002 1.1e-004 1.00e+000 1.664262588e+002 1.664302726e+002 9.7e-010 1.83 48 1.6e-006 1.5e-002 9.9e-005 1.00e+000 1.664265241e+002 1.664301365e+002 8.7e-010 1.86 49 1.4e-006 1.4e-002 8.9e-005 1.00e+000 1.664267629e+002 1.664300140e+002 7.8e-010 1.91 50 1.3e-006 1.3e-002 8.0e-005 1.00e+000 1.664269777e+002 1.664299036e+002 7.0e-010 1.95 51 1.1e-006 1.3e-002 7.2e-005 1.00e+000 1.664271709e+002 1.664298042e+002 6.3e-010 1.99 52 1.0e-006 1.2e-002 6.5e-005 1.00e+000 1.664273448e+002 1.664297147e+002 5.7e-010 2.02 53 9.2e-007 1.2e-002 5.8e-005 1.00e+000 1.664275012e+002 1.664296341e+002 5.1e-010 2.06 54 8.2e-007 1.1e-002 5.2e-005 1.00e+000 1.664276419e+002 1.664295615e+002 4.6e-010 2.09 55 7.4e-007 1.1e-002 4.7e-005 1.00e+000 1.664277685e+002 1.664294961e+002 4.2e-010 2.14 56 6.7e-007 1.1e-002 4.2e-005 1.00e+000 1.664278824e+002 1.664294372e+002 3.7e-010 2.17 57 6.0e-007 1.0e-002 3.8e-005 1.00e+000 1.664279848e+002 1.664293842e+002 3.4e-010 2.22 58 5.4e-007 1.0e-002 3.4e-005 1.00e+000 1.664280770e+002 1.664293364e+002 3.0e-010 2.25 59 4.9e-007 9.9e-003 3.1e-005 1.00e+000 1.664281598e+002 1.664292933e+002 2.7e-010 2.30 60 4.4e-007 9.7e-003 2.8e-005 1.00e+000 1.664282344e+002 1.664292545e+002 2.5e-010 2.33 61 3.9e-007 9.5e-003 2.5e-005 1.00e+000 1.664283014e+002 1.664292195e+002 2.2e-010 2.38 62 3.6e-007 9.4e-003 2.3e-005 1.00e+000 1.664283618e+002 1.664291880e+002 2.0e-010 2.41 63 3.2e-007 9.2e-003 2.0e-005 1.00e+000 1.664284160e+002 1.664291597e+002 1.8e-010 2.44 64 2.9e-007 9.1e-003 1.8e-005 1.00e+000 1.664284648e+002 1.664291341e+002 1.6e-010 2.47 65 2.6e-007 8.9e-003 1.6e-005 1.00e+000 1.664285088e+002 1.664291111e+002 1.5e-010 2.52 66 2.3e-007 8.8e-003 1.5e-005 1.00e+000 1.664285483e+002 1.664290904e+002 1.3e-010 2.55 67 2.1e-007 8.7e-003 1.3e-005 1.00e+000 1.664285838e+002 1.664290718e+002 1.2e-010 2.58 68 1.9e-007 8.6e-003 1.2e-005 1.00e+000 1.664286158e+002 1.664290550e+002 1.1e-010 2.63 69 1.7e-007 8.5e-003 1.1e-005 1.00e+000 1.664286447e+002 1.664290399e+002 9.5e-011 2.66 70 1.5e-007 8.4e-003 9.7e-006 1.00e+000 1.664286706e+002 1.664290262e+002 8.6e-011 2.70 71 1.4e-007 8.4e-003 8.7e-006 1.00e+000 1.664286939e+002 1.664290140e+002 7.7e-011 2.75 72 1.2e-007 8.3e-003 7.9e-006 1.00e+000 1.664287149e+002 1.664290030e+002 6.9e-011 2.80 73 1.1e-007 8.3e-003 7.1e-006 1.00e+000 1.664287338e+002 1.664289931e+002 6.2e-011 2.83 74 1.0e-007 8.2e-003 6.4e-006 1.00e+000 1.664287508e+002 1.664289841e+002 5.6e-011 2.86 75 9.0e-008 8.1e-003 5.7e-006 9.98e-001 1.664287661e+002 1.664289761e+002 5.1e-011 2.89 76 8.1e-008 8.1e-003 5.2e-006 1.00e+000 1.664287799e+002 1.664289689e+002 4.6e-011 2.92 77 7.3e-008 8.1e-003 4.6e-006 1.00e+000 1.664287923e+002 1.664289624e+002 4.1e-011 2.95 78 6.6e-008 8.0e-003 4.2e-006 1.00e+000 1.664288035e+002 1.664289565e+002 3.7e-011 2.98 79 5.9e-008 8.0e-003 3.8e-006 9.99e-001 1.664288135e+002 1.664289513e+002 3.3e-011 3.02 80 5.3e-008 8.0e-003 3.4e-006 1.00e+000 1.664288225e+002 1.664289466e+002 3.0e-011 3.05 81 4.8e-008 7.9e-003 3.0e-006 1.00e+000 1.664288307e+002 1.664289423e+002 2.7e-011 3.08 82 4.3e-008 7.9e-003 2.7e-006 9.96e-001 1.664288380e+002 1.664289385e+002 2.4e-011 3.11 83 3.9e-008 7.9e-003 2.5e-006 1.00e+000 1.664288446e+002 1.664289350e+002 2.2e-011 3.14 84 3.5e-008 7.8e-003 2.2e-006 9.92e-001 1.664288505e+002 1.664289319e+002 2.0e-011 3.17 85 3.1e-008 7.8e-003 2.0e-006 9.93e-001 1.664288559e+002 1.664289292e+002 1.8e-011 3.19 86 2.8e-008 7.0e-003 1.8e-006 9.97e-001 1.664288607e+002 1.664289266e+002 1.6e-011 3.22 87 2.6e-008 6.3e-003 1.6e-006 1.00e+000 1.664288650e+002 1.664289243e+002 1.4e-011 3.27 88 2.3e-008 5.7e-003 1.5e-006 1.01e+000 1.664288690e+002 1.664289222e+002 1.3e-011 3.30 89 2.1e-008 5.1e-003 1.3e-006 1.00e+000 1.664288725e+002 1.664289204e+002 1.2e-011 3.33 90 1.9e-008 4.6e-003 1.2e-006 9.69e-001 1.664288756e+002 1.664289188e+002 1.0e-011 3.36 91 1.7e-008 4.1e-003 1.1e-006 9.93e-001 1.664288785e+002 1.664289173e+002 9.4e-012 3.39 92 1.5e-008 3.7e-003 9.6e-007 9.98e-001 1.664288810e+002 1.664289160e+002 8.5e-012 3.42 93 1.4e-008 3.4e-003 8.6e-007 1.02e+000 1.664288835e+002 1.664289147e+002 7.7e-012 3.45 94 1.2e-008 3.0e-003 7.7e-007 9.84e-001 1.664288855e+002 1.664289136e+002 6.9e-012 3.48 95 1.1e-008 2.7e-003 7.0e-007 1.01e+000 1.664288875e+002 1.664289126e+002 6.2e-012 3.53 96 9.9e-009 2.4e-003 6.3e-007 9.97e-001 1.664288891e+002 1.664289118e+002 5.6e-012 3.56 97 9.0e-009 2.2e-003 5.6e-007 1.06e+000 1.664288910e+002 1.664289107e+002 5.2e-012 3.59 98 1.1e-008 2.0e-003 5.1e-007 1.09e+000 1.664288931e+002 1.664289087e+002 4.8e-012 3.63 99 9.5e-009 1.8e-003 4.6e-007 9.73e-001 1.664288942e+002 1.664289082e+002 4.3e-012 3.66 100 8.6e-009 1.6e-003 4.1e-007 9.85e-001 1.664288952e+002 1.664289078e+002 3.9e-012 3.69 101 7.5e-009 1.4e-003 3.7e-007 9.84e-001 1.664288960e+002 1.664289074e+002 3.5e-012 3.72 102 6.8e-009 1.3e-003 3.3e-007 9.93e-001 1.664288968e+002 1.664289072e+002 3.1e-012 3.75 103 6.1e-009 1.2e-003 3.0e-007 1.08e+000 1.664288978e+002 1.664289067e+002 2.9e-012 3.78 104 5.5e-009 1.1e-003 2.7e-007 9.35e-001 1.664288984e+002 1.664289064e+002 2.6e-012 3.81 105 6.2e-008 9.5e-004 4.4e-007 1.00e+000 1.664288932e+002 1.664289062e+002 2.4e-012 3.84 106 5.6e-008 8.5e-004 3.9e-007 9.61e-001 1.664288942e+002 1.664289060e+002 2.1e-012 3.88 107 5.0e-008 7.7e-004 3.5e-007 1.07e+000 1.664288956e+002 1.664289057e+002 2.0e-012 3.92 108 4.5e-008 6.9e-004 3.2e-007 1.01e+000 1.664288965e+002 1.664289055e+002 1.8e-012 3.95 109 4.1e-008 6.2e-004 2.9e-007 9.91e-001 1.664288972e+002 1.664289054e+002 1.6e-012 3.98 110 3.7e-008 5.6e-004 2.6e-007 1.06e+000 1.664288982e+002 1.664289051e+002 1.5e-012 4.02 111 3.4e-008 5.0e-004 2.3e-007 9.73e-001 1.664288988e+002 1.664289050e+002 1.4e-012 4.05 112 3.0e-008 4.5e-004 2.1e-007 9.98e-001 1.664288993e+002 1.664289049e+002 1.2e-012 4.08 113 2.7e-008 4.1e-004 1.9e-007 9.90e-001 1.664288998e+002 1.664289048e+002 1.1e-012 4.11 114 2.4e-008 3.7e-004 1.7e-007 1.03e+000 1.664289002e+002 1.664289048e+002 1.0e-012 4.14 115 2.2e-008 3.3e-004 1.5e-007 9.90e-001 1.664289005e+002 1.664289048e+002 9.1e-013 4.19 Interior-point optimizer terminated. Time: 4.19. Optimizer terminated. Time: 4.20 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6642890051e+002 nrm: 2e+001 Viol. con: 5e-007 var: 0e+000 Dual. obj: 1.6642890476e+002 nrm: 1e+003 Viol. con: 0e+000 var: 2e-003 * End solution on dual form. * Transforming to primal solution. Solving took 4.22 seconds. Solving took 9 GP solves and 43.6 seconds. Solves with these variables bounded: value near lower bound: CruiseAlt_Mission value near upper bound: \alpha_{max}_Mission/Aircraft/Engine/Thrust, A_{tri}_Mission/Aircraft/Wing/WingNoStruct, TotalTime_Mission, M_{r_{out}}_Mission/Aircraft/HorizontalTail/WingBox, d_{nacelle}_Mission/Aircraft/LandingGear, T_{t_{4.1_{max-Cruise}}}_Mission Checking for relaxed constants... GP iteration 0 has relaxed constants Cost ---- 2.048e+121 Free Variables -------------- | Mission/Aircraft/Engine/Compressor/Relax C_{p_{air} : 1.125 Cp Value for Air at 250K | Mission/Aircraft/Engine/Turbine/Relax C_{p_{t2}} : 2.471 Cp Value for Combustion Products in LP Turbine | Mission/Aircraft/Fuselage/Relax l_{nose} : 1.063 Nose length n_{pass} : [ 3.1 ] Number of passengers | Mission/Aircraft/Relax f_{L_{total/wing}} : 1.837 Total lift as a percentage of wing lift | Mission/Aircraft/Wing/WingNoStruct/Relax \tan(\Lambda) : 1.094 Tangent of quarter-chord sweep angle | Mission/FlightState/Atmosphere/Relax L_{atm} : [ 1.93 1 1 1 1 ] Temperature lapse rate T_{sl} : [ 1 1 1.17 1 1 ] Temperature at sea level | Mission/Relax R_{req} : 5.653 Required Cruise Range GP iteration 1 has relaxed constants Cost ---- 1.04e+83 Free Variables -------------- | Mission/Aircraft/Engine/Combustor/Relax C_{p_{c}} : 1.05 Cp Value for Fuel/Air Mix in Combustor | Mission/Aircraft/Engine/Turbine/Relax C_{p_{t2}} : 1.719 Cp Value for Combustion Products in LP Turbine | Mission/Aircraft/Fuselage/Relax n_{pass} : [ 1.1 ] Number of passengers | Mission/Aircraft/LandingGear/Relax h_{hold} : 1.008 Hold height | Mission/Aircraft/Relax f_{L_{total/wing}} : 1.415 Total lift as a percentage of wing lift WEIGHT DIFFERENCES Total Fuel Weight Percent Diff: [-92.79836063] Total Aircraft Weight Percent Diff: [-21.81322769] Engine Weight Percent Diff: -58.009118601153524 Fuselage Weight Percent Diff: -0.8731815461493407 Payload Weight Percent Diff: [-0.04003557] VT Weight Percent Diff: -9.53438648649917 HT Weight Percent Diff: -92.8620742735119 Wing Weight Percent Diff: 7.693373784618289 WING DIFFERENCES Wing Span Percent Diff: -0.02999499702381096 Wing Area Percent Diff: 33.3030692095412 HORIZONTAL TAIL DIFFERENCES HT Area Percent Diff: 40.742017116135194 VERTICAL TAIL DIFFERENCES VT Span Percent Diff: -11.32410269550765 VT Area Percent Diff: -60.655071234098 CRUISE SEGMENT 1 DRAG DIFFERENCES Overall Cd Percent Diff: [-19.05151703] L/D Percent Diff: [24.01285686] Nacelle Cd Percent Diff: [-94.54388626] HT Cd Percent Diff: [-80.41782029] dimensionless Fuselage Cd Percent Diff: [108.78752887] VT Cd Percent Diff: [-58.44451257] dimensionless Wing Cd percent Diff: [-14.66068379] Induced Drag Cd Percent Diff: [0.26528366] CRUISE SEGMENT 1 TSFC DIFFERENCES Initial Cruise TSFC Percent Diff: [-90.3421639] FUSELAGE DIFFERENCES Weight of HB material: -38.214097701108514 Weight of VB material: 87.69306927721995 Fan Propulsive Efficiency in Cruise Segment 1 --------------------- [0.70524361] Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 50.619s OK Generating XML reports... Cloning into 'solar'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/convexengineering/gpfit.git Cloning https://github.com/convexengineering/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-b6gmrc Running command git clone -q https://github.com/convexengineering/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-b6gmrc' 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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-zxq3tm\wheels\d5\94\ac\b1f68b07599181f26f4b9149a1a6d49dfc5cdbc65de1a14d12 Successfully built gpfit DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/convexengineering/gassolar.git Cloning https://github.com/convexengineering/gassolar.git to c:\users\jenkins\appdata\local\temp\pip-req-build-x_pusv Running command git clone -q https://github.com/convexengineering/gassolar.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-x_pusv' 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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-5acky6\wheels\fe\11\0a\2dde16df75c51194d20248ec9e30e88fc7200e9fc4664b032e Successfully built gassolar DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\solar Requirement already satisfied: numpy in c:\anaconda2\lib\site-packages (from solar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-y_1pue\wheels\49\50\23\5418ef4cb8b45317c6db9e660ccf51591236e2173227eefc5b Successfully built solar Installing collected packages: solar Successfully installed solar-0.0.0.0 adding test for 'solar/sens_chart.py' adding test for 'solar/season.py' adding test for 'solar/npod_trade.py' Beginning signomial solve. Solving took 5 GP solves and 1.62 seconds. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1632916.9438 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission/Climb/Airc could cause inaccurate result because it is above upper bound. Solution is 1259333.2962 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.12 seconds. Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1036204.4216 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.1/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1006645.3404 but bound is 1000000.0000 Beginning signomial solve. Solving took 7 GP solves and 2.71 seconds. Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.2/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1019678.5273 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.5 seconds. Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 976142.1405 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.3/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1042059.4012 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 3.03 seconds. Warning: Variable [gpkit.Variable(CL_Mission.4/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.4/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.4/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1007400.4726 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.4/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1092545.5057 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.3 seconds. Warning: Variable [gpkit.Variable(CL_Mission.5/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.5/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.5/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.5/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1119121.2078 but bound is 600000.0000 Beginning signomial solve. Solving took 5 GP solves and 1.64 seconds. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1632916.9440 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission/Climb/Airc could cause inaccurate result because it is above upper bound. Solution is 1259333.2963 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.08 seconds. Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1036204.4217 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.1/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1006645.3404 but bound is 1000000.0000 Beginning signomial solve. Solving took 7 GP solves and 2.49 seconds. Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1487 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 989673.4621 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.2/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1019678.5272 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.64 seconds. Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 976142.1405 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.3/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1042059.4012 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.85 seconds. Warning: Variable [gpkit.Variable(CL_Mission.4/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.4/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.4/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1007400.4701 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.4/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1092545.5034 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.18 seconds. Warning: Variable [gpkit.Variable(CL_Mission.5/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.5/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.5/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.5/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1119121.2076 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.87 seconds. Allowing negative dual variable(s) as small as -1.303795906876828e-09. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7525 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.72 seconds. Allowing negative dual variable(s) as small as -1.7283624223831082e-11. Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 729183.6207 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.91 seconds. Allowing negative dual variable(s) as small as -2.6943388734295533e-11. Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 802959.6016 but bound is 600000.0000 Using solver 'mosek' Solving for 7672 variables. Solving took 2.46 seconds. Allowing negative dual variable(s) as small as -2.4782310337050256e-11. Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 839122.5116 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 5.29 seconds. Allowing negative dual variable(s) as small as -3.4016455745905996e-10. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7485 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.89 seconds. Allowing negative dual variable(s) as small as -2.2850757259505997e-09. Warning: Variable [gpkit.Variable(CL_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.1/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.1/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.1/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 729183.6485 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.97 seconds. Allowing negative dual variable(s) as small as -1.1424849813632913e-11. Warning: Variable [gpkit.Variable(CL_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.2/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.2/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.2/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 802959.5984 but bound is 600000.0000 Using solver 'mosek' Solving for 7672 variables. Solving took 2.45 seconds. Allowing negative dual variable(s) as small as -3.565412889370633e-11. Warning: Variable [gpkit.Variable(CL_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.3/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.3/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.3/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 839122.5046 but bound is 600000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.18 seconds. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1119121.2076 but bound is 600000.0000 Beginning signomial solve. Solving took 4 GP solves and 1.36 seconds. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 1119121.2078 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 323.620s OK Generating XML reports... fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. fatal: destination path 'gplibrary' already exists and is not an empty directory. DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Requirement already satisfied: pandas in c:\anaconda2\lib\site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in c:\anaconda2\lib\site-packages (from pandas) (2017.3) Requirement already satisfied: numpy>=1.12.0 in c:\anaconda2\lib\site-packages (from pandas) (1.16.4) Requirement already satisfied: python-dateutil>=2.5.0 in c:\anaconda2\lib\site-packages (from pandas) (2.6.1) Requirement already satisfied: six>=1.5 in c:\anaconda2\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.11.0) DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-kfzcmd Running command git clone -q https://github.com/hoburg/gpfit.git 'c:\users\jenkins\appdata\local\temp\pip-req-build-kfzcmd' 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' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-jrjus8\wheels\4d\4b\2e\9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f Successfully built gpfit DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Processing c:\users\jenkins\workspace\gplibrary_push_models\mosek\gplibrary Requirement already satisfied: numpy>=1.12 in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in c:\anaconda2\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in c:\anaconda2\lib\site-packages (from pint->gpkitmodels==0.0.0.0) (1.0.2) Building wheels for collected packages: gpkitmodels Building wheel for gpkitmodels (setup.py): started Building wheel for gpkitmodels (setup.py): finished with status 'done' Stored in directory: c:\users\jenkins\appdata\local\temp\pip-ephem-wheel-cache-6tzctr\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 0.029 seconds. Using solver 'mosek_cli' Solving for 11 variables. Solving took 0.082 seconds. Using solver 'mosek' Solving for 9 variables. Solving took 0.019 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.02 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.02 seconds. Beginning signomial solve. Solving took 16 GP solves and 1.26 seconds. Using solver 'mosek_cli' Solving for 9 variables. Solving took 0.072 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.079 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.111 seconds. Beginning signomial solve. Solving took 16 GP solves and 2.93 seconds. Using solver 'mosek' Solving for 13 variables. Solving took 0.034 seconds. Beginning signomial solve. Solving took 11 GP solves and 0.873 seconds. Warning: Variable [gpkit.Variable(cl_BladeElementProp/BladeElementPerf_(0,)) gpkit.Variable(cl_BladeElementProp/Blade could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable [gpkit.Variable(Re_BladeElementProp/BladeElementPerf_(0,)) gpkit.Variable(Re_BladeElementProp/Blade could cause inaccurate result because it is above upper bound. Solution is 1619896.8870 but bound is 700000.0000 Using solver 'mosek_cli' Solving for 13 variables. Solving took 0.07 seconds. Beginning signomial solve. Solving took 11 GP solves and 2.02 seconds. Warning: Variable [gpkit.Variable(cl_BladeElementProp/BladeElementPerf_(0,)) gpkit.Variable(cl_BladeElementProp/Blade could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable [gpkit.Variable(Re_BladeElementProp/BladeElementPerf_(0,)) gpkit.Variable(Re_BladeElementProp/Blade could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000 Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220953.3838 but bound is 1000000.0000 Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499787.9776 but bound is 1000000.0000 Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 2223878.3883 but bound is 1000000.0000 Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 2223877.9590 but bound is 1000000.0000 Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000 Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000 Warning: Variable Re_TailAero could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000 Warning: Variable Re_TailAero.1 could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000 Warning: Variable Re_TailAero.2 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000 Warning: Variable Re_TailAero.3 could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000 Warning: Variable Re_TailAero.4 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable Re_TailAero.5 could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1884891.6332 but bound is 700000.0000 Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910419.6195 but bound is 700000.0000 Warning: Variable Re_WingAero could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000 Warning: Variable Re_WingAero.1 could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000 Beginning signomial solve. Using solver 'mosek' Solving for 121 variables. Solving took 0.028 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.029 seconds. SP is not converging! Last GP iteration had a higher cost (2.4e+03) than the previous one (2.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. Using solver 'mosek' Solving for 121 variables. Solving took 0.024 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.022 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.022 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.024 seconds. Solving took 6 GP solves and 0.328 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.082 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.102 seconds. SP is not converging! Last GP iteration had a higher cost (2.4e+03) than the previous one (2.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.135 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.125 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.125 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.106 seconds. Solving took 6 GP solves and 0.891 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 240 variables. Solving took 0.069 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.06 seconds. SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (2.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. Using solver 'mosek' Solving for 240 variables. Solving took 0.054 seconds. SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (3.5e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. Using solver 'mosek' Solving for 240 variables. Solving took 0.037 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.048 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.05 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.042 seconds. Solving took 7 GP solves and 0.791 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.188 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.151 seconds. SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (2.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.189 seconds. SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (3.5e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.171 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.169 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.172 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.166 seconds. Solving took 7 GP solves and 1.74 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 20 variables. Solving took 0.035 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.026 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.023 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.021 seconds. Solving took 4 GP solves and 0.119 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.084 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.076 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.079 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.114 seconds. Solving took 4 GP solves and 0.37 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 18.658s OK Generating XML reports... Cloning into 'eVTOL'... adding test for 'aircraft_models.py' Running tests... ---------------------------------------------------------------------- .. ---------------------------------------------------------------------- Ran 2 tests in 1.612s OK Generating XML reports... he same goes for any other bugs you encounter with GPkit: send 'em our way, along with any interesting models, speculative features, comments, discussions, or clarifications you feel like sharing. Finally, we hope you find our documentation (https://gpkit.readthedocs.io/) and engineering-design models (https://github.com/convexengineering/gplibrary/) to be useful resources for your own applications. Enjoy! calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git'] attempt 1 calling ['pip', 'install', '--no-cache-dir', '--no-deps', '-e', 'gplibrary'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git'] attempt 1 SETTINGS defaultdict(<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 239 tests in 44.400s 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