Started by upstream project "gplibrary_Push_Models" build number 173 originally caused by: Started by upstream project "gpkit_Push" build number 641 originally caused by: Started by user galbramc Running as galbramc [EnvInject] - Loading node environment variables. Building remotely on macys in workspace /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 > git init /Users/jenkins/workspace/gplibrary_Push_Models/mosek # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > git --version # timeout=10 > git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > git fetch --tags --progress https://github.com/convexengineering/gplibrary +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10 Checking out Revision 33d3b1f3cc79228af969bf35c025c1e4518c5e84 (origin/master) > git config core.sparsecheckout # timeout=10 > git checkout -f 33d3b1f3cc79228af969bf35c025c1e4518c5e84 # timeout=3 Commit message: "update summing_constraintset for VarKey lineages" > 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 [macys] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]] Run condition [Execution node ] enabling perform for step [Execute shell] [mosek] $ /bin/bash -xe /var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/jenkins15842071483610949345.sh + [[ macys == *macys* ]] + export PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ + PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ + virtualenv /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit New python executable in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/python Installing setuptools, pip, wheel...done. + . /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/activate ++ deactivate nondestructive ++ unset -f pydoc ++ '[' -z '' ']' ++ '[' -z '' ']' ++ '[' -n /bin/bash ']' ++ hash -r ++ '[' -z '' ']' ++ unset VIRTUAL_ENV ++ '[' '!' nondestructive = nondestructive ']' ++ VIRTUAL_ENV=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit ++ export VIRTUAL_ENV ++ _OLD_VIRTUAL_PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ ++ PATH=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ ++ export PATH ++ '[' -z '' ']' ++ '[' -z '' ']' ++ _OLD_VIRTUAL_PS1= ++ '[' x '!=' x ']' +++ basename /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit ++ PS1='(venv2_gpkit) ' ++ export PS1 ++ alias pydoc ++ '[' -n /bin/bash ']' ++ hash -r ++ which pip + export PIP=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip + PIP=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip + pip_install pip + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/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 ./venv2_gpkit/lib/python2.7/site-packages (19.1.1) + [[ macys == *reynolds* ]] + [[ macys == *macys* ]] + [[ mosek == mosek ]] + [[ macys == macys ]] + export PATH=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/8/tools/platform/osx64x86/bin + PATH=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/8/tools/platform/osx64x86/bin + export DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/8/tools/platform/osx64x86/bin + DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/8/tools/platform/osx64x86/bin + python /Users/jenkins/mosek/8/tools/platform/osx64x86/python/2/setup.py install running install running build running build_py running build_ext copying mosek/_msk.so -> build/lib.macosx-10.13-intel-2.7/mosek copying mosek/fusion/impl/fragments.so -> build/lib.macosx-10.13-intel-2.7/mosek/fusion/impl running install_lib creating /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek copying build/lib.macosx-10.13-intel-2.7/mosek/__init__.py -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek copying build/lib.macosx-10.13-intel-2.7/mosek/_msk.so -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek creating /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion copying build/lib.macosx-10.13-intel-2.7/mosek/fusion/__init__.py -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion creating /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-intel-2.7/mosek/fusion/impl/__init__.py -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-intel-2.7/mosek/fusion/impl/_implementation.py -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-intel-2.7/mosek/fusion/impl/fragments.so -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-intel-2.7/mosek/fusion/Utils.py -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion byte-compiling /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/__init__.py to __init__.pyc byte-compiling /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/__init__.py to __init__.pyc byte-compiling /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/impl/__init__.py to __init__.pyc byte-compiling /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/impl/_implementation.py to _implementation.pyc byte-compiling /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/fusion/Utils.py to Utils.pyc running install_egg_info Writing /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/Mosek-8.1.41-py2.7.egg-info Fixing library paths copying /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/ copying /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libcilkrts.5.dylib -> /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/mosek/ + [[ mosek == mosek ]] + python -c '__import__("mosek").Env()' + msktestlic Mosek license manager: License path: /Users/jenkins/mosek/mosek.lic Mosek license manager: Checkout license feature 'PTS' from flexlm. Mosek license manager: Checkout time 0.01. r: 0 status: 0 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. 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 Optimizer terminated. Time: 0.00 ************************************ A license was checked out correctly. ************************************ + export 'GPKITSOLVERS=mosek, mosek_cli' + GPKITSOLVERS='mosek, mosek_cli' + [[ mosek == cvxopt ]] + pip_install xmlrunner + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/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. Collecting xmlrunner Installing collected packages: xmlrunner Successfully installed xmlrunner-1.7.7 + pip_install pint + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/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. Collecting pint Using cached https://files.pythonhosted.org/packages/15/9d/bf177ebbc57d25e9e296addc14a1303d1e34d7964af5df428a8332349c42/Pint-0.9-py2.py3-none-any.whl Collecting funcsigs; python_version == "2.7" (from pint) Using cached https://files.pythonhosted.org/packages/69/cb/f5be453359271714c01b9bd06126eaf2e368f1fddfff30818754b5ac2328/funcsigs-1.0.2-py2.py3-none-any.whl Installing collected packages: funcsigs, pint Successfully installed funcsigs-1.0.2 pint-0.9 + pip_install numpy + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/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. Collecting numpy Using cached https://files.pythonhosted.org/packages/8f/0b/1a2c21bb69138337dc079841aa4a45e5b2fc7a4260c0907f5254fb08f02e/numpy-1.16.4-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl Installing collected packages: numpy Successfully installed numpy-1.16.4 + pip_install scipy + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip install --upgrade scipy DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Collecting scipy Using cached https://files.pythonhosted.org/packages/a3/cf/36b77de4ccb1b841acd4c3c03abe38843c63c3a657cedee9e8fb19a02dc8/scipy-1.2.2-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl Requirement already satisfied, skipping upgrade: numpy>=1.8.2 in ./venv2_gpkit/lib/python2.7/site-packages (from scipy) (1.16.4) Installing collected packages: scipy Successfully installed scipy-1.2.2 + pip_install ad + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip install --upgrade ad 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 ad Installing collected packages: ad Successfully installed ad-1.3.2 + pip_install ctypesgen + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/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. Collecting ctypesgen Installing collected packages: ctypesgen Successfully installed ctypesgen-0.post125 + pip_install pandas + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/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. Collecting pandas Using cached https://files.pythonhosted.org/packages/52/ff/912fe03a623a70bcf297d466013a0b4f4c68c3b60f86bf226682d061fc09/pandas-0.24.2-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl Collecting python-dateutil>=2.5.0 (from pandas) Using cached https://files.pythonhosted.org/packages/41/17/c62faccbfbd163c7f57f3844689e3a78bae1f403648a6afb1d0866d87fbb/python_dateutil-2.8.0-py2.py3-none-any.whl Requirement already satisfied, skipping upgrade: numpy>=1.12.0 in ./venv2_gpkit/lib/python2.7/site-packages (from pandas) (1.16.4) Collecting pytz>=2011k (from pandas) Using cached https://files.pythonhosted.org/packages/3d/73/fe30c2daaaa0713420d0382b16fbb761409f532c56bdcc514bf7b6262bb6/pytz-2019.1-py2.py3-none-any.whl Collecting six>=1.5 (from python-dateutil>=2.5.0->pandas) Using cached https://files.pythonhosted.org/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl Installing collected packages: six, python-dateutil, pytz, pandas Successfully installed pandas-0.24.2 python-dateutil-2.8.0 pytz-2019.1 six-1.12.0 + pip_install matplotlib + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/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. Collecting matplotlib Using cached https://files.pythonhosted.org/packages/3e/d6/4c949597c4186599cc8be08cd11b1e83fe7966676aeee3868bf3e581d852/matplotlib-2.2.4-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl Collecting kiwisolver>=1.0.1 (from matplotlib) Using cached https://files.pythonhosted.org/packages/0d/15/ec5f70ac79f378ed0ef5ed8b71e8a04e382115426b2cda9a3ab5ffcf467f/kiwisolver-1.1.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl Collecting cycler>=0.10 (from matplotlib) Using cached https://files.pythonhosted.org/packages/f7/d2/e07d3ebb2bd7af696440ce7e754c59dd546ffe1bbe732c8ab68b9c834e61/cycler-0.10.0-py2.py3-none-any.whl Collecting subprocess32 (from matplotlib) Using cached https://files.pythonhosted.org/packages/35/f3/7cdeeef9cb05c42fadcc8aa040dd3b80d94e0f6a8dedc4bacebf796c2385/subprocess32-3.5.4-cp27-cp27m-macosx_10_6_intel.whl Requirement already satisfied, skipping upgrade: pytz in ./venv2_gpkit/lib/python2.7/site-packages (from matplotlib) (2019.1) Requirement already satisfied, skipping upgrade: six>=1.10 in ./venv2_gpkit/lib/python2.7/site-packages (from matplotlib) (1.12.0) Collecting backports.functools-lru-cache (from matplotlib) Using cached https://files.pythonhosted.org/packages/03/8e/2424c0e65c4a066e28f539364deee49b6451f8fcd4f718fefa50cc3dcf48/backports.functools_lru_cache-1.5-py2.py3-none-any.whl Requirement already satisfied, skipping upgrade: numpy>=1.7.1 in ./venv2_gpkit/lib/python2.7/site-packages (from matplotlib) (1.16.4) Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 (from matplotlib) Using cached https://files.pythonhosted.org/packages/dd/d9/3ec19e966301a6e25769976999bd7bbe552016f0d32b577dc9d63d2e0c49/pyparsing-2.4.0-py2.py3-none-any.whl Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in ./venv2_gpkit/lib/python2.7/site-packages (from matplotlib) (2.8.0) Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python2.7/site-packages (from kiwisolver>=1.0.1->matplotlib) (41.0.1) Installing collected packages: kiwisolver, cycler, subprocess32, backports.functools-lru-cache, pyparsing, matplotlib Successfully installed backports.functools-lru-cache-1.5 cycler-0.10.0 kiwisolver-1.1.0 matplotlib-2.2.4 pyparsing-2.4.0 subprocess32-3.5.4 + export GPKITBUILD=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit + GPKITBUILD=/Users/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit + python -c 'import scipy; print scipy.__version__' 1.2.2 + python -c 'import numpy; print numpy.__version__' 1.16.4 + python -c 'import pint; print pint.__version__' 0.9 + git clone --depth 1 https://github.com/convexengineering/gpkit.git Cloning into 'gpkit'... + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip install --no-cache-dir -e /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit 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:///Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit Requirement already satisfied: numpy>=1.12.1 in ./venv2_gpkit/lib/python2.7/site-packages (from gpkit==0.8.0.0) (1.16.4) Requirement already satisfied: pint>=0.8.1 in ./venv2_gpkit/lib/python2.7/site-packages (from gpkit==0.8.0.0) (0.9) Requirement already satisfied: scipy in ./venv2_gpkit/lib/python2.7/site-packages (from gpkit==0.8.0.0) (1.2.2) Requirement already satisfied: ad in ./venv2_gpkit/lib/python2.7/site-packages (from gpkit==0.8.0.0) (1.3.2) Requirement already satisfied: ctypesgen in ./venv2_gpkit/lib/python2.7/site-packages (from gpkit==0.8.0.0) (0.post125) Collecting cvxopt>=1.1.8 (from gpkit==0.8.0.0) Downloading https://files.pythonhosted.org/packages/69/4f/167a7f5b11274eb8722e93b26c687c71499ae563083104c5b25dd2252990/cvxopt-1.2.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (5.7MB) Requirement already satisfied: funcsigs; python_version == "2.7" in ./venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit==0.8.0.0) (1.0.2) Installing collected packages: cvxopt, gpkit Running setup.py develop for gpkit Successfully installed cvxopt-1.2.3 gpkit + python /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip install --no-cache-dir -e /Users/jenkins/workspace/gplibrary_Push_Models/mosek 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:///Users/jenkins/workspace/gplibrary_Push_Models/mosek Requirement already satisfied: numpy>=1.12 in ./venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in ./venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in ./venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in ./venv2_gpkit/lib/python2.7/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 + export MSK_IPAR_NUM_THREADS=2 + MSK_IPAR_NUM_THREADS=2 + export MKL_NUM_THREADS=2 + MKL_NUM_THREADS=2 + export NUMEXPR_NUM_THREADS=2 + NUMEXPR_NUM_THREADS=2 + export OPENBLAS_NUM_THREADS=2 + OPENBLAS_NUM_THREADS=2 + export OMP_NUM_THREADS=2 + OMP_NUM_THREADS=2 + python -c 'from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)' 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.] ............................................................................................................................................................................................................................................ ---------------------------------------------------------------------- Ran 236 tests in 17.425s OK Cloning into 'gplibrary'... DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7. Obtaining file:///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'... Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 0.316s OK Generating XML reports... adding test for 'test.py' Using solver 'mosek' Solving for 25 variables. Solving took 0.0145 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.0144 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.158 seconds. Cloning into '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. Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (0.24.2) Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2.8.0) Requirement already satisfied: numpy>=1.12.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (1.16.4) Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2019.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas) (1.12.0) 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 /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-gNRV1W Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-gNRV1W Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-4AzKYA/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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gassolar Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from gassolar==0.0.0.0) (0.8.0.0) Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.0) Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.1) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.12.0) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-cos4js/wheels/41/0a/8d/447392359ea0dc499510d6781d4893f34e301ac2b844c7bed4 Successfully built gassolar Installing collected packages: gassolar Successfully installed gassolar-0.0.0.0 Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) .. ---------------------------------------------------------------------- Ran 4 tests in 16.489s OK Generating XML reports... adding test for 'gassolar/gas/gas.py' adding test for 'gassolar/solar/solar.py' Using solver 'mosek' Solving for 592 variables. Solving took 0.0608 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 0.394 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 0.0512 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 0.418 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 0.207 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 1.51 seconds. Warning: Variable Re_Mission.1/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103379.4302 but bound is 150000.0000 Warning: Variable Re_Mission.1/FlightSegment.10/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 103406.0832 but bound is 150000.0000 Using solver 'mosek_cli' Solving for 1250 variables. Solving took 0.292 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 1.84 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 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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (0.24.2) Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2.8.0) Requirement already satisfied: numpy>=1.12.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (1.16.4) Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2019.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas) (1.12.0) 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 /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-KJXpKd Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-KJXpKd Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-MdZ_SU/wheels/4d/4b/2e/9480645acbe8d32004b09b3732f616bbb2a9ee75e4526f058f Successfully built gpfit Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/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 22.145s OK Generating XML reports... adding test for 'model/jho.py' adding test for 'model/print_perf.py' Beginning signomial solve. Allowing negative dual variable(s) as small as -1.277397241802869e-13. Solving took 4 GP solves and 0.989 seconds. Beginning signomial solve. Allowing negative dual variable(s) as small as -1.317904e-13. Solving took 4 GP solves and 1.36 seconds. Allowing negative dual variable(s) as small as -2.9121193304004755e-13. Allowing negative dual variable(s) as small as -1.1959500230418474e-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 -1.1959500230418474e-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 -7.171299473679543e-12. Solving took 4 GP solves and 1.03 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 0.795 seconds. Max payload weight [lbf] = 28.242 Max take off weight [lbf] = 166.638 Allowing negative dual variable(s) as small as -2.903506e-13. Allowing negative dual variable(s) as small as -1.197207e-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 -1.197207e-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 -7.171135e-12. Solving took 4 GP solves and 1.22 seconds. Max Speed [m/s]: 74.76 Beginning signomial solve. Solving took 4 GP solves and 1.12 seconds. Max payload weight [lbf] = 28.242 Max take off weight [lbf] = 166.638 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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/turbofan Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-2EEaIo/wheels/b5/2f/48/b751d4bab5d719a7de0cd9181de34b2f4449cb2da5aec6f23d Successfully built turbofan Installing collected packages: turbofan Successfully installed turbofan-0.0.0.0 Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 1.343s OK Generating XML reports... adding test for 'turbofan/engine_validation.py' Beginning signomial solve. Using solver 'mosek' Solving for 339 variables. Solving took 0.0238 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0261 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0236 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0225 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0217 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0233 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0236 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0223 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0182 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0205 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0273 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0238 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0243 seconds. Using solver 'mosek' Solving for 339 variables. Solving took 0.0259 seconds. Solving took 14 GP solves and 1.03 seconds. Cloning into 'SPaircraft'... 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 /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-iNTq8s Running command git clone -q https://github.com/hoburg/turbofan.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-iNTq8s Requirement already satisfied (use --upgrade to upgrade): turbofan==0.0.0.0 from git+https://github.com/hoburg/turbofan.git in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan==0.0.0.0) (1.2.2) Requirement already satisfied: pint in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-WGX4Gu/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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/SPaircraft Requirement already satisfied: turbofan in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from SPaircraft==0.0.0) (0.0.0.0) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from SPaircraft==0.0.0) (0.8.0.0) Requirement already satisfied: pint in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan->SPaircraft==0.0.0) (0.9) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan->SPaircraft==0.0.0) (1.2.2) Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from turbofan->SPaircraft==0.0.0) (1.16.4) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->SPaircraft==0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->SPaircraft==0.0.0) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint->turbofan->SPaircraft==0.0.0) (1.0.2) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-CinTWI/wheels/71/26/9f/5657db356ce6e0d3f9591b290e0bbf5df5bca9ab5b75809f6a Successfully built SPaircraft Installing collected packages: SPaircraft Successfully installed SPaircraft-0.0.0 Running tests... ---------------------------------------------------------------------- adding test for 'SPaircraft.py' Beginning signomial solve. Using solver 'mosek' Solving for 1775 variables. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 889 Optimizer - Cones : 0 Optimizer - Scalar variables : 3512 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.02 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.21e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.3e+05 0.00e+00 -1.251882418e+05 2.000000000e+00 1.0e+00 0.04 1 1.6e+03 2.3e+03 8.9e+04 -9.71e-01 -1.243802360e+05 2.733382843e+00 7.1e-01 0.05 2 8.2e+02 1.2e+03 4.5e+04 -9.58e-01 -1.217727486e+05 5.111387531e+00 3.6e-01 0.05 3 2.9e+02 4.1e+02 1.6e+04 -9.16e-01 -1.130209447e+05 2.141224508e+01 1.3e-01 0.06 4 2.9e+02 4.1e+02 1.6e+04 -7.71e-01 -1.107726536e+05 1.977234150e+03 1.3e-01 0.07 5 1.2e+02 1.6e+02 6.4e+03 -7.61e-01 -8.819310403e+04 6.515761413e+03 5.2e-02 0.08 6 3.9e+01 5.5e+01 2.1e+03 -4.36e-01 -4.800685738e+04 1.093079884e+04 1.7e-02 0.09 7 2.2e+01 3.1e+01 1.2e+03 2.25e-01 -3.166244724e+04 7.491465205e+03 9.9e-03 0.10 8 9.6e+00 1.3e+01 5.3e+02 5.25e-01 -1.461225503e+04 4.412390255e+03 4.3e-03 0.11 9 5.6e+00 7.8e+00 3.1e+02 8.23e-01 -8.541663928e+03 2.824261325e+03 2.5e-03 0.12 10 1.7e+00 2.4e+00 9.3e+01 9.13e-01 -2.407810014e+03 1.129484641e+03 7.5e-04 0.13 11 7.1e-01 9.9e-01 4.0e+01 9.93e-01 -9.142053636e+02 5.941803561e+02 3.2e-04 0.13 12 5.2e-01 7.3e-01 2.9e+01 9.96e-01 -6.217779241e+02 4.930570802e+02 2.4e-04 0.14 13 4.3e-01 8.4e-01 2.4e+01 9.77e-01 -4.872825729e+02 4.353270985e+02 1.9e-04 0.15 14 2.3e-01 4.5e-01 1.3e+01 9.91e-01 -1.764328044e+02 3.175472022e+02 1.0e-04 0.16 15 1.0e-01 2.3e-01 5.7e+00 9.92e-01 1.017865830e+01 2.316591668e+02 4.7e-05 0.17 16 2.9e-02 1.8e-01 1.7e+00 9.95e-01 1.168156372e+02 1.822820265e+02 1.4e-05 0.18 17 9.5e-03 1.3e-01 5.6e-01 9.96e-01 1.471989647e+02 1.690641967e+02 4.8e-06 0.18 18 1.9e-03 1.4e-01 1.2e-01 1.00e+00 1.593714302e+02 1.639506192e+02 1.0e-06 0.19 19 1.3e-03 1.1e-01 7.9e-02 1.00e+00 1.604707192e+02 1.635404411e+02 6.9e-07 0.20 20 1.1e-03 1.1e-01 6.8e-02 9.71e-01 1.608174561e+02 1.631913516e+02 6.0e-07 0.21 21 3.6e-04 7.5e-02 2.4e-02 4.70e-01 1.619736307e+02 1.628921155e+02 2.1e-07 0.22 22 3.3e-04 6.9e-02 2.2e-02 8.99e-01 1.620635276e+02 1.629011966e+02 2.0e-07 0.23 23 3.0e-04 6.5e-02 2.0e-02 9.94e-01 1.621240275e+02 1.628848896e+02 1.8e-07 0.24 24 2.7e-04 6.1e-02 1.8e-02 1.00e+00 1.621790882e+02 1.628633036e+02 1.7e-07 0.25 25 2.5e-04 5.5e-02 1.6e-02 1.00e+00 1.622279503e+02 1.628437325e+02 1.5e-07 0.25 26 2.2e-04 5.0e-02 1.5e-02 1.00e+00 1.622719360e+02 1.628261147e+02 1.3e-07 0.26 27 2.0e-04 4.6e-02 1.3e-02 1.00e+00 1.623115204e+02 1.628102608e+02 1.2e-07 0.27 28 1.8e-04 4.2e-02 1.2e-02 1.00e+00 1.623471434e+02 1.627959914e+02 1.1e-07 0.28 29 1.6e-04 3.9e-02 1.1e-02 1.00e+00 1.623792020e+02 1.627831490e+02 9.8e-08 0.29 30 1.5e-04 3.6e-02 9.7e-03 1.00e+00 1.624080531e+02 1.627715913e+02 8.8e-08 0.30 31 1.3e-04 3.3e-02 8.8e-03 1.00e+00 1.624340178e+02 1.627611898e+02 7.9e-08 0.31 32 1.2e-04 3.0e-02 7.9e-03 1.00e+00 1.624573848e+02 1.627518287e+02 7.1e-08 0.32 33 1.1e-04 2.8e-02 7.1e-03 1.00e+00 1.624784139e+02 1.627434041e+02 6.4e-08 0.32 34 9.6e-05 2.6e-02 6.4e-03 1.00e+00 1.624973388e+02 1.627358219e+02 5.8e-08 0.33 35 8.6e-05 2.4e-02 5.7e-03 1.00e+00 1.625143702e+02 1.627289980e+02 5.2e-08 0.34 36 7.7e-05 2.2e-02 5.2e-03 1.00e+00 1.625296972e+02 1.627228562e+02 4.7e-08 0.34 37 7.0e-05 2.1e-02 4.7e-03 1.00e+00 1.625434904e+02 1.627173284e+02 4.2e-08 0.35 38 6.3e-05 2.0e-02 4.2e-03 1.00e+00 1.625559032e+02 1.627123530e+02 3.8e-08 0.36 39 5.6e-05 1.8e-02 3.8e-03 1.00e+00 1.625670737e+02 1.627078748e+02 3.4e-08 0.37 40 5.1e-05 1.7e-02 3.4e-03 1.00e+00 1.625771263e+02 1.627038441e+02 3.1e-08 0.37 41 4.6e-05 1.6e-02 3.1e-03 1.00e+00 1.625861728e+02 1.627002161e+02 2.8e-08 0.38 42 4.1e-05 1.5e-02 2.7e-03 1.00e+00 1.625943140e+02 1.626969506e+02 2.5e-08 0.39 43 3.7e-05 1.5e-02 2.5e-03 1.00e+00 1.626016403e+02 1.626940113e+02 2.2e-08 0.39 44 3.3e-05 1.4e-02 2.2e-03 1.00e+00 1.626082334e+02 1.626913657e+02 2.0e-08 0.40 45 3.0e-05 1.3e-02 2.0e-03 1.00e+00 1.626141667e+02 1.626889843e+02 1.8e-08 0.41 46 2.7e-05 1.3e-02 1.8e-03 1.00e+00 1.626195061e+02 1.626868408e+02 1.6e-08 0.42 47 2.4e-05 1.2e-02 1.6e-03 1.00e+00 1.626243111e+02 1.626849113e+02 1.5e-08 0.42 48 2.2e-05 1.2e-02 1.5e-03 1.00e+00 1.626286351e+02 1.626831744e+02 1.3e-08 0.43 49 2.0e-05 1.1e-02 1.3e-03 1.00e+00 1.626325263e+02 1.626816110e+02 1.2e-08 0.44 50 1.8e-05 1.1e-02 1.2e-03 1.00e+00 1.626360279e+02 1.626802035e+02 1.1e-08 0.45 51 1.6e-05 1.1e-02 1.1e-03 1.00e+00 1.626391789e+02 1.626789364e+02 9.6e-09 0.46 52 1.4e-05 1.0e-02 9.6e-04 1.00e+00 1.626420143e+02 1.626777957e+02 8.7e-09 0.46 53 1.3e-05 1.0e-02 8.6e-04 1.00e+00 1.626445658e+02 1.626767687e+02 7.8e-09 0.47 54 1.2e-05 9.8e-03 7.8e-04 1.00e+00 1.626468617e+02 1.626758441e+02 7.0e-09 0.48 55 1.0e-05 9.6e-03 7.0e-04 1.00e+00 1.626489276e+02 1.626750115e+02 6.3e-09 0.49 56 9.4e-06 9.4e-03 6.3e-04 1.00e+00 1.626507866e+02 1.626742618e+02 5.7e-09 0.49 57 8.5e-06 9.2e-03 5.7e-04 1.00e+00 1.626524592e+02 1.626735868e+02 5.1e-09 0.50 58 7.6e-06 9.1e-03 5.1e-04 1.00e+00 1.626539643e+02 1.626729790e+02 4.6e-09 0.51 59 6.9e-06 8.9e-03 4.6e-04 1.00e+00 1.626553185e+02 1.626724316e+02 4.1e-09 0.52 60 6.2e-06 8.8e-03 4.1e-04 1.00e+00 1.626565371e+02 1.626719388e+02 3.7e-09 0.52 61 5.6e-06 8.7e-03 3.7e-04 1.00e+00 1.626576335e+02 1.626714950e+02 3.4e-09 0.53 62 5.0e-06 8.6e-03 3.3e-04 1.00e+00 1.626586201e+02 1.626710954e+02 3.0e-09 0.54 63 4.5e-06 8.5e-03 3.0e-04 1.00e+00 1.626595079e+02 1.626707355e+02 2.7e-09 0.55 64 4.1e-06 8.4e-03 2.7e-04 1.00e+00 1.626603067e+02 1.626704115e+02 2.4e-09 0.56 65 3.6e-06 8.3e-03 2.4e-04 1.00e+00 1.626610255e+02 1.626701198e+02 2.2e-09 0.57 66 3.3e-06 8.2e-03 2.2e-04 1.00e+00 1.626616723e+02 1.626698572e+02 2.0e-09 0.58 67 3.0e-06 8.2e-03 2.0e-04 1.00e+00 1.626622543e+02 1.626696207e+02 1.8e-09 0.59 68 2.7e-06 8.1e-03 1.8e-04 1.00e+00 1.626627780e+02 1.626694078e+02 1.6e-09 0.59 69 2.4e-06 8.1e-03 1.6e-04 1.00e+00 1.626632493e+02 1.626692161e+02 1.4e-09 0.60 70 2.2e-06 8.0e-03 1.4e-04 1.00e+00 1.626636734e+02 1.626690435e+02 1.3e-09 0.61 71 1.2e-07 4.6e-04 8.4e-06 1.00e+00 1.626672653e+02 1.626675779e+02 7.6e-11 0.61 72 1.1e-07 4.2e-04 7.5e-06 1.00e+00 1.626672879e+02 1.626675693e+02 6.8e-11 0.62 73 6.1e-09 2.3e-05 4.2e-07 1.00e+00 1.626674762e+02 1.626674918e+02 3.8e-12 0.63 Optimizer terminated. Time: 0.63 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.6266747623e+02 nrm: 4e+01 Viol. con: 1e-07 var: 0e+00 Dual. obj: 1.6266749179e+02 nrm: 8e+02 Viol. con: 0e+00 var: 2e-04 * End solution on dual form. * Transforming to primal solution. Solving took 0.657 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.02 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.3e+05 0.00e+00 -1.250214611e+05 2.000000000e+00 1.0e+00 0.04 1 1.6e+03 2.3e+03 8.9e+04 -9.71e-01 -1.242284993e+05 2.729395972e+00 7.2e-01 0.05 2 7.8e+02 1.1e+03 4.2e+04 -9.58e-01 -1.213010853e+05 5.407046861e+00 3.4e-01 0.06 3 3.2e+02 4.5e+02 1.8e+04 -9.11e-01 -1.139329640e+05 2.041400649e+01 1.4e-01 0.06 4 2.4e+02 3.3e+02 1.3e+04 -7.91e-01 -1.072174481e+05 2.389478820e+03 1.0e-01 0.07 5 7.3e+01 1.0e+02 4.0e+03 -7.09e-01 -7.017900386e+04 1.064705382e+04 3.2e-02 0.08 6 2.4e+01 3.3e+01 1.3e+03 -1.69e-01 -3.094445287e+04 1.069355797e+04 1.0e-02 0.09 7 1.2e+01 1.6e+01 6.4e+02 5.32e-01 -1.710544977e+04 5.727537938e+03 5.2e-03 0.09 8 7.8e+00 1.1e+01 4.2e+02 7.79e-01 -1.179024351e+04 3.686187236e+03 3.4e-03 0.10 9 3.4e+00 4.8e+00 1.9e+02 8.65e-01 -5.193159135e+03 1.876105779e+03 1.5e-03 0.11 10 1.9e+00 2.7e+00 1.1e+02 9.61e-01 -2.867437192e+03 1.141064150e+03 8.5e-04 0.12 11 1.4e+00 2.0e+00 7.8e+01 9.79e-01 -2.120111786e+03 8.694660026e+02 6.3e-04 0.14 12 5.3e-01 1.0e+00 2.9e+01 9.88e-01 -7.589096938e+02 3.663049774e+02 2.4e-04 0.15 13 2.8e-01 5.4e-01 1.5e+01 1.00e+00 -3.693581746e+02 2.212832667e+02 1.3e-04 0.16 14 1.1e-01 2.2e-01 6.1e+00 1.00e+00 -1.204424712e+02 1.146257507e+02 5.1e-05 0.17 15 5.0e-02 1.3e-01 2.8e+00 1.01e+00 -3.187136298e+01 7.626227373e+01 2.4e-05 0.18 16 1.1e-02 1.4e-01 6.7e-01 1.01e+00 2.549686886e+01 5.115601811e+01 5.8e-06 0.18 17 4.8e-03 1.1e-01 2.9e-01 1.01e+00 3.578603989e+01 4.670329440e+01 2.5e-06 0.19 18 9.4e-04 1.5e-01 5.9e-02 1.00e+00 4.195012556e+01 4.416665415e+01 5.2e-07 0.20 19 5.5e-04 1.1e-01 3.4e-02 1.00e+00 4.262014634e+01 4.390782399e+01 3.0e-07 0.21 20 1.6e-04 1.1e-01 1.0e-02 1.00e+00 4.325650352e+01 4.364427389e+01 9.1e-08 0.21 21 6.5e-05 9.2e-02 4.1e-03 1.00e+00 4.342037685e+01 4.357566824e+01 3.7e-08 0.22 22 5.9e-05 8.3e-02 3.7e-03 1.00e+00 4.343194681e+01 4.357171459e+01 3.3e-08 0.23 23 5.3e-05 7.5e-02 3.3e-03 1.00e+00 4.344173587e+01 4.356751753e+01 3.0e-08 0.23 24 4.8e-05 6.8e-02 3.0e-03 1.00e+00 4.345055976e+01 4.356375710e+01 2.7e-08 0.24 25 4.3e-05 6.2e-02 2.7e-03 1.00e+00 4.345849085e+01 4.356036312e+01 2.4e-08 0.25 26 3.9e-05 5.7e-02 2.4e-03 1.00e+00 4.346562561e+01 4.355730627e+01 2.2e-08 0.26 27 3.5e-05 5.2e-02 2.2e-03 1.00e+00 4.347204352e+01 4.355455248e+01 1.9e-08 0.26 28 3.1e-05 4.7e-02 2.0e-03 1.00e+00 4.347781683e+01 4.355207190e+01 1.8e-08 0.27 29 2.8e-05 4.3e-02 1.8e-03 1.00e+00 4.348301036e+01 4.354983747e+01 1.6e-08 0.28 30 2.5e-05 4.0e-02 1.6e-03 1.00e+00 4.348768242e+01 4.354782480e+01 1.4e-08 0.29 31 2.3e-05 3.7e-02 1.4e-03 1.00e+00 4.349188544e+01 4.354601194e+01 1.3e-08 0.29 32 2.0e-05 3.4e-02 1.3e-03 1.00e+00 4.349566657e+01 4.354437908e+01 1.2e-08 0.30 33 1.8e-05 3.1e-02 1.2e-03 1.00e+00 4.349906822e+01 4.354290839e+01 1.0e-08 0.31 34 1.7e-05 2.9e-02 1.0e-03 1.00e+00 4.350212853e+01 4.354158380e+01 9.3e-09 0.31 35 1.5e-05 2.7e-02 9.4e-04 1.00e+00 4.350488180e+01 4.354039083e+01 8.4e-09 0.32 36 1.3e-05 2.5e-02 8.5e-04 1.00e+00 4.350735888e+01 4.353931643e+01 7.6e-09 0.33 37 1.2e-05 2.3e-02 7.6e-04 1.00e+00 4.350958751e+01 4.353834885e+01 6.8e-09 0.33 38 1.1e-05 2.1e-02 6.9e-04 1.00e+00 4.351159264e+01 4.353747748e+01 6.1e-09 0.34 39 9.8e-06 2.0e-02 6.2e-04 1.00e+00 4.351339673e+01 4.353669278e+01 5.5e-09 0.35 40 8.8e-06 1.9e-02 5.6e-04 1.00e+00 4.351501994e+01 4.353598616e+01 5.0e-09 0.36 41 7.9e-06 1.8e-02 5.0e-04 1.00e+00 4.351648045e+01 4.353534986e+01 4.5e-09 0.36 42 7.1e-06 1.7e-02 4.5e-04 1.00e+00 4.351779458e+01 4.353477690e+01 4.0e-09 0.37 43 6.4e-06 1.6e-02 4.1e-04 1.00e+00 4.351897702e+01 4.353426099e+01 3.6e-09 0.38 44 5.8e-06 1.5e-02 3.7e-04 1.00e+00 4.352004098e+01 4.353379647e+01 3.3e-09 0.39 45 5.2e-06 1.4e-02 3.3e-04 1.00e+00 4.352099835e+01 4.353337822e+01 2.9e-09 0.39 46 4.7e-06 1.3e-02 3.0e-04 1.00e+00 4.352185981e+01 4.353300165e+01 2.6e-09 0.40 47 4.2e-06 1.3e-02 2.7e-04 1.00e+00 4.352263500e+01 4.353266261e+01 2.4e-09 0.41 48 3.8e-06 1.2e-02 2.4e-04 1.00e+00 4.352333255e+01 4.353235737e+01 2.1e-09 0.41 49 3.4e-06 1.2e-02 2.2e-04 1.00e+00 4.352396025e+01 4.353208257e+01 1.9e-09 0.42 50 3.1e-06 1.1e-02 1.9e-04 1.00e+00 4.352452510e+01 4.353183518e+01 1.7e-09 0.43 51 2.8e-06 1.1e-02 1.7e-04 1.00e+00 4.352503340e+01 4.353161246e+01 1.6e-09 0.44 52 2.5e-06 1.1e-02 1.6e-04 1.00e+00 4.352549082e+01 4.353141197e+01 1.4e-09 0.44 53 2.2e-06 1.0e-02 1.4e-04 1.00e+00 4.352590246e+01 4.353123149e+01 1.3e-09 0.45 54 2.0e-06 1.0e-02 1.3e-04 1.00e+00 4.352627289e+01 4.353106902e+01 1.1e-09 0.46 55 1.8e-06 9.7e-03 1.1e-04 1.00e+00 4.352660626e+01 4.353092278e+01 1.0e-09 0.46 56 1.6e-06 9.5e-03 1.0e-04 1.00e+00 4.352690626e+01 4.353079113e+01 9.2e-10 0.47 57 1.5e-06 9.2e-03 9.3e-05 1.00e+00 4.352717625e+01 4.353067263e+01 8.3e-10 0.48 58 1.3e-06 9.1e-03 8.4e-05 1.00e+00 4.352741922e+01 4.353056597e+01 7.4e-10 0.49 59 1.2e-06 8.9e-03 7.5e-05 1.00e+00 4.352763789e+01 4.353046997e+01 6.7e-10 0.49 60 1.1e-06 8.7e-03 6.8e-05 1.00e+00 4.352783468e+01 4.353038355e+01 6.0e-10 0.50 61 9.7e-07 8.6e-03 6.1e-05 1.00e+00 4.352801178e+01 4.353030577e+01 5.4e-10 0.51 62 8.7e-07 8.5e-03 5.5e-05 1.00e+00 4.352817117e+01 4.353023577e+01 4.9e-10 0.52 63 7.8e-07 8.3e-03 4.9e-05 1.00e+00 4.352831461e+01 4.353017276e+01 4.4e-10 0.52 64 7.0e-07 8.2e-03 4.4e-05 1.00e+00 4.352844371e+01 4.353011604e+01 4.0e-10 0.53 65 6.3e-07 8.1e-03 4.0e-05 1.00e+00 4.352855990e+01 4.353006500e+01 3.6e-10 0.54 66 5.7e-07 8.1e-03 3.6e-05 1.00e+00 4.352866446e+01 4.353001907e+01 3.2e-10 0.55 67 5.1e-07 8.0e-03 3.2e-05 1.00e+00 4.352875857e+01 4.352997773e+01 2.9e-10 0.55 68 4.6e-07 7.9e-03 2.9e-05 1.00e+00 4.352884326e+01 4.352994052e+01 2.6e-10 0.56 69 4.2e-07 7.8e-03 2.6e-05 1.00e+00 4.352891949e+01 4.352990702e+01 2.3e-10 0.57 70 3.7e-07 7.8e-03 2.4e-05 1.00e+00 4.352898809e+01 4.352987688e+01 2.1e-10 0.58 71 3.4e-07 7.7e-03 2.1e-05 1.00e+00 4.352904984e+01 4.352984974e+01 1.9e-10 0.58 72 3.0e-07 7.7e-03 1.9e-05 1.00e+00 4.352910540e+01 4.352982532e+01 1.7e-10 0.59 73 2.7e-07 7.6e-03 1.7e-05 1.00e+00 4.352915542e+01 4.352980335e+01 1.5e-10 0.60 74 2.5e-07 7.6e-03 1.5e-05 1.00e+00 4.352920043e+01 4.352978357e+01 1.4e-10 0.61 75 2.2e-07 7.6e-03 1.4e-05 1.00e+00 4.352924094e+01 4.352976576e+01 1.2e-10 0.61 76 2.0e-07 7.5e-03 1.3e-05 1.00e+00 4.352927739e+01 4.352974974e+01 1.1e-10 0.62 77 1.8e-07 7.5e-03 1.1e-05 1.00e+00 4.352931021e+01 4.352973532e+01 1.0e-10 0.63 78 1.6e-07 7.5e-03 1.0e-05 1.00e+00 4.352933974e+01 4.352972234e+01 9.1e-11 0.63 79 1.4e-07 7.4e-03 9.1e-06 1.00e+00 4.352936631e+01 4.352971066e+01 8.1e-11 0.64 80 1.3e-07 7.4e-03 8.2e-06 1.00e+00 4.352939024e+01 4.352970015e+01 7.3e-11 0.65 81 1.2e-07 7.4e-03 7.4e-06 1.00e+00 4.352941176e+01 4.352969068e+01 6.6e-11 0.65 82 1.1e-07 7.4e-03 6.7e-06 1.00e+00 4.352943114e+01 4.352968217e+01 5.9e-11 0.66 83 9.5e-08 7.4e-03 6.0e-06 1.00e+00 4.352944858e+01 4.352967450e+01 5.3e-11 0.67 84 8.6e-08 7.4e-03 5.4e-06 1.00e+00 4.352946427e+01 4.352966760e+01 4.8e-11 0.68 85 7.7e-08 7.3e-03 4.9e-06 1.00e+00 4.352947839e+01 4.352966139e+01 4.3e-11 0.68 86 6.9e-08 7.3e-03 4.4e-06 1.00e+00 4.352949111e+01 4.352965581e+01 3.9e-11 0.69 87 6.2e-08 7.3e-03 3.9e-06 1.00e+00 4.352950255e+01 4.352965078e+01 3.5e-11 0.70 88 5.6e-08 7.3e-03 3.5e-06 1.00e+00 4.352951284e+01 4.352964625e+01 3.2e-11 0.70 89 5.1e-08 7.3e-03 3.2e-06 1.00e+00 4.352952211e+01 4.352964217e+01 2.8e-11 0.71 90 4.5e-08 7.3e-03 2.9e-06 1.00e+00 4.352953045e+01 4.352963851e+01 2.6e-11 0.72 91 4.1e-08 7.3e-03 2.6e-06 1.00e+00 4.352953795e+01 4.352963521e+01 2.3e-11 0.72 92 3.7e-08 7.3e-03 2.3e-06 1.00e+00 4.352954471e+01 4.352963224e+01 2.1e-11 0.73 93 3.3e-08 7.3e-03 2.1e-06 9.99e-01 4.352955079e+01 4.352962957e+01 1.9e-11 0.74 94 3.0e-08 7.2e-03 1.9e-06 1.00e+00 4.352955626e+01 4.352962716e+01 1.7e-11 0.75 95 2.7e-08 7.2e-03 1.7e-06 1.00e+00 4.352956118e+01 4.352962499e+01 1.5e-11 0.76 96 2.4e-08 7.2e-03 1.5e-06 1.00e+00 4.352956561e+01 4.352962304e+01 1.4e-11 0.77 97 2.2e-08 7.2e-03 1.4e-06 1.00e+00 4.352956960e+01 4.352962129e+01 1.2e-11 0.77 98 2.0e-08 7.2e-03 1.2e-06 1.00e+00 4.352957319e+01 4.352961971e+01 1.1e-11 0.78 99 1.8e-08 7.2e-03 1.1e-06 1.00e+00 4.352957642e+01 4.352961829e+01 9.9e-12 0.79 100 1.6e-08 7.2e-03 1.0e-06 1.00e+00 4.352957933e+01 4.352961701e+01 8.9e-12 0.79 101 1.4e-08 7.2e-03 9.0e-07 9.98e-01 4.352958195e+01 4.352961586e+01 8.0e-12 0.80 102 1.3e-08 7.2e-03 8.1e-07 9.98e-01 4.352958430e+01 4.352961483e+01 7.2e-12 0.81 103 1.2e-08 7.2e-03 7.3e-07 9.99e-01 4.352958642e+01 4.352961389e+01 6.5e-12 0.82 104 1.0e-08 6.5e-03 6.6e-07 1.00e+00 4.352958834e+01 4.352961304e+01 5.9e-12 0.82 105 1.0e-08 6.1e-03 6.2e-07 1.00e+00 4.352958939e+01 4.352961259e+01 5.5e-12 0.83 106 9.0e-09 5.5e-03 5.5e-07 1.00e+00 4.352959101e+01 4.352961182e+01 4.9e-12 0.84 107 8.1e-09 4.9e-03 5.0e-07 1.01e+00 4.352959251e+01 4.352961114e+01 4.5e-12 0.85 108 7.3e-09 4.4e-03 4.5e-07 1.00e+00 4.352959383e+01 4.352961056e+01 4.0e-12 0.85 109 6.6e-09 4.0e-03 4.0e-07 1.00e+00 4.352959500e+01 4.352961005e+01 3.6e-12 0.86 110 6.2e-09 3.6e-03 3.6e-07 1.01e+00 4.352959608e+01 4.352960961e+01 3.3e-12 0.87 111 5.6e-09 3.2e-03 3.3e-07 9.91e-01 4.352959701e+01 4.352960923e+01 2.9e-12 0.87 112 5.0e-09 2.9e-03 2.9e-07 9.97e-01 4.352959786e+01 4.352960886e+01 2.7e-12 0.89 113 4.5e-09 2.6e-03 2.7e-07 1.00e+00 4.352959862e+01 4.352960852e+01 2.4e-12 0.90 114 4.1e-09 2.4e-03 2.4e-07 1.01e+00 4.352959935e+01 4.352960820e+01 2.2e-12 0.91 115 3.7e-09 2.1e-03 2.1e-07 1.00e+00 4.352959996e+01 4.352960793e+01 1.9e-12 0.92 116 3.3e-09 1.9e-03 1.9e-07 1.00e+00 4.352960052e+01 4.352960768e+01 1.8e-12 0.93 117 3.0e-09 1.7e-03 1.7e-07 1.00e+00 4.352960101e+01 4.352960746e+01 1.6e-12 0.95 118 2.6e-09 1.5e-03 1.6e-07 9.99e-01 4.352960146e+01 4.352960726e+01 1.4e-12 0.96 119 3.5e-09 1.5e-03 1.6e-07 1.00e+00 4.352960126e+01 4.352960721e+01 1.4e-12 0.96 120 3.3e-09 1.4e-03 1.4e-07 1.00e+00 4.352960171e+01 4.352960698e+01 1.2e-12 0.97 121 2.9e-09 1.2e-03 1.3e-07 9.98e-01 4.352960208e+01 4.352960684e+01 1.1e-12 0.98 122 2.7e-09 1.1e-03 1.2e-07 1.00e+00 4.352960242e+01 4.352960670e+01 1.0e-12 0.99 123 2.4e-09 9.9e-04 1.1e-07 1.00e+00 4.352960273e+01 4.352960658e+01 9.0e-13 0.99 Optimizer terminated. Time: 0.99 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 4.3529602732e+01 nrm: 4e+01 Viol. con: 3e-08 var: 0e+00 Dual. obj: 4.3529606578e+01 nrm: 7e+02 Viol. con: 0e+00 var: 7e-03 * End solution on dual form. * Transforming to primal solution. Solving took 1.02 seconds. Using solver 'mosek' Solving for 1775 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 : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.3e+05 0.00e+00 -1.250366326e+05 2.000000000e+00 1.0e+00 0.03 1 1.7e+03 2.3e+03 9.1e+04 -9.71e-01 -1.242865273e+05 2.664498198e+00 7.3e-01 0.04 2 8.1e+02 1.1e+03 4.4e+04 -9.59e-01 -1.215247372e+05 5.092538020e+00 3.5e-01 0.05 3 2.9e+02 4.1e+02 1.6e+04 -9.14e-01 -1.128227188e+05 2.142587351e+01 1.3e-01 0.05 4 2.9e+02 4.1e+02 1.6e+04 -7.70e-01 -1.107070066e+05 1.866513468e+03 1.3e-01 0.06 5 1.2e+02 1.7e+02 6.7e+03 -7.61e-01 -8.959516313e+04 6.189640039e+03 5.4e-02 0.07 6 4.2e+01 5.8e+01 2.3e+03 -4.58e-01 -5.016458192e+04 1.084192807e+04 1.8e-02 0.08 7 2.0e+01 2.9e+01 1.1e+03 1.88e-01 -2.960173511e+04 6.662297437e+03 9.0e-03 0.08 8 8.6e+00 1.2e+01 4.7e+02 5.65e-01 -1.344974074e+04 3.736057612e+03 3.8e-03 0.09 9 3.9e+00 5.4e+00 2.1e+02 8.46e-01 -6.010388114e+03 1.988438855e+03 1.7e-03 0.10 10 2.0e+00 2.7e+00 1.1e+02 9.54e-01 -2.983932262e+03 1.123370784e+03 8.8e-04 0.11 11 1.0e+00 1.6e+00 5.6e+01 9.84e-01 -1.491923188e+03 6.528536721e+02 4.6e-04 0.11 12 8.2e-01 1.3e+00 4.5e+01 9.79e-01 -1.209637745e+03 5.288894028e+02 3.7e-04 0.12 13 3.9e-01 6.6e-01 2.2e+01 9.88e-01 -5.878609231e+02 2.535466970e+02 1.8e-04 0.13 14 1.6e-01 3.0e-01 9.0e+00 1.00e+00 -2.286735564e+02 1.160508377e+02 7.4e-05 0.13 15 5.9e-02 1.8e-01 3.4e+00 9.97e-01 -7.899739630e+01 5.162774977e+01 2.8e-05 0.14 16 3.4e-02 1.1e-01 2.0e+00 9.95e-01 -3.894658083e+01 3.663363766e+01 1.7e-05 0.15 17 2.7e-02 9.1e-02 1.6e+00 1.01e+00 -2.752353397e+01 3.309875411e+01 1.3e-05 0.15 18 8.5e-03 1.0e-01 5.1e-01 1.01e+00 3.198435935e+00 2.260035196e+01 4.3e-06 0.16 19 2.5e-03 1.1e-01 1.5e-01 1.02e+00 1.288122152e+01 1.870956616e+01 1.3e-06 0.17 20 3.3e-04 1.8e-01 2.2e-02 1.01e+00 1.649297497e+01 1.731200471e+01 2.0e-07 0.18 21 1.8e-04 1.1e-01 1.2e-02 9.83e-01 1.678027999e+01 1.722269398e+01 1.1e-07 0.18 22 9.0e-05 7.6e-02 6.1e-03 9.95e-01 1.694125371e+01 1.716874522e+01 5.5e-08 0.19 23 3.7e-05 7.3e-02 2.5e-03 9.98e-01 1.703780363e+01 1.713269403e+01 2.3e-08 0.20 24 1.7e-05 6.9e-02 1.1e-03 9.99e-01 1.707647231e+01 1.711897973e+01 1.0e-08 0.21 25 8.7e-06 6.1e-02 6.0e-04 1.00e+00 1.709131243e+01 1.711364300e+01 5.4e-09 0.21 26 7.8e-06 5.5e-02 5.4e-04 1.00e+00 1.709308367e+01 1.711318191e+01 4.9e-09 0.22 27 7.0e-06 5.0e-02 4.8e-04 1.00e+00 1.709455967e+01 1.711264768e+01 4.4e-09 0.23 28 6.3e-06 4.6e-02 4.3e-04 1.00e+00 1.709588234e+01 1.711216127e+01 4.0e-09 0.23 29 5.7e-06 4.2e-02 3.9e-04 1.00e+00 1.709707019e+01 1.711172101e+01 3.6e-09 0.24 30 5.1e-06 3.9e-02 3.5e-04 1.00e+00 1.709813791e+01 1.711132347e+01 3.2e-09 0.25 31 4.6e-06 3.6e-02 3.2e-04 1.00e+00 1.709909791e+01 1.711096477e+01 2.9e-09 0.26 32 4.2e-06 3.3e-02 2.8e-04 1.00e+00 1.709996117e+01 1.711064124e+01 2.6e-09 0.26 33 3.7e-06 3.0e-02 2.6e-04 1.00e+00 1.710073755e+01 1.711034953e+01 2.3e-09 0.27 34 3.4e-06 2.8e-02 2.3e-04 1.00e+00 1.710143587e+01 1.711008659e+01 2.1e-09 0.28 35 3.0e-06 2.6e-02 2.1e-04 1.00e+00 1.710206403e+01 1.710984963e+01 1.9e-09 0.29 36 2.7e-06 2.4e-02 1.9e-04 1.00e+00 1.710262911e+01 1.710963613e+01 1.7e-09 0.29 37 2.5e-06 2.2e-02 1.7e-04 1.00e+00 1.710313747e+01 1.710944378e+01 1.5e-09 0.30 38 2.2e-06 2.1e-02 1.5e-04 1.00e+00 1.710359484e+01 1.710927051e+01 1.4e-09 0.31 39 2.0e-06 1.9e-02 1.4e-04 1.00e+00 1.710400633e+01 1.710911445e+01 1.2e-09 0.32 40 1.8e-06 1.8e-02 1.2e-04 1.00e+00 1.710437657e+01 1.710897387e+01 1.1e-09 0.33 41 1.6e-06 1.7e-02 1.1e-04 1.00e+00 1.710470968e+01 1.710884726e+01 1.0e-09 0.33 42 1.4e-06 1.6e-02 9.9e-05 1.00e+00 1.710500940e+01 1.710873325e+01 9.1e-10 0.34 43 1.3e-06 1.5e-02 8.9e-05 1.00e+00 1.710527909e+01 1.710863055e+01 8.2e-10 0.35 44 1.2e-06 1.4e-02 8.0e-05 1.00e+00 1.710552175e+01 1.710853809e+01 7.4e-10 0.36 45 1.1e-06 1.4e-02 7.2e-05 1.00e+00 1.710574009e+01 1.710845481e+01 6.6e-10 0.36 46 9.5e-07 1.3e-02 6.5e-05 1.00e+00 1.710593656e+01 1.710837982e+01 6.0e-10 0.37 47 8.6e-07 1.2e-02 5.9e-05 1.00e+00 1.710611335e+01 1.710831227e+01 5.4e-10 0.38 48 7.7e-07 1.2e-02 5.3e-05 1.00e+00 1.710627243e+01 1.710825146e+01 4.8e-10 0.38 49 6.9e-07 1.1e-02 4.8e-05 1.00e+00 1.710641556e+01 1.710819670e+01 4.3e-10 0.39 50 6.2e-07 1.1e-02 4.3e-05 1.00e+00 1.710654436e+01 1.710814741e+01 3.9e-10 0.40 51 5.6e-07 1.1e-02 3.8e-05 1.00e+00 1.710666026e+01 1.710810301e+01 3.5e-10 0.40 52 5.1e-07 1.0e-02 3.5e-05 1.00e+00 1.710676455e+01 1.710806305e+01 3.2e-10 0.41 53 4.5e-07 1.0e-02 3.1e-05 1.00e+00 1.710685839e+01 1.710802705e+01 2.9e-10 0.42 54 4.1e-07 9.7e-03 2.8e-05 1.00e+00 1.710694292e+01 1.710799439e+01 2.6e-10 0.43 55 3.7e-07 9.4e-03 2.5e-05 1.00e+00 1.710701891e+01 1.710796521e+01 2.3e-10 0.43 56 3.3e-07 9.2e-03 2.3e-05 9.99e-01 1.710708727e+01 1.710793897e+01 2.1e-10 0.44 57 3.0e-07 9.0e-03 2.0e-05 1.00e+00 1.710714880e+01 1.710791532e+01 1.9e-10 0.45 58 2.7e-07 8.8e-03 1.8e-05 1.00e+00 1.710720416e+01 1.710789404e+01 1.7e-10 0.46 59 2.4e-07 8.6e-03 1.7e-05 1.00e+00 1.710725398e+01 1.710787486e+01 1.5e-10 0.46 60 2.2e-07 8.5e-03 1.5e-05 1.00e+00 1.710729882e+01 1.710785759e+01 1.4e-10 0.47 61 2.0e-07 8.4e-03 1.3e-05 9.99e-01 1.710733916e+01 1.710784205e+01 1.2e-10 0.48 62 1.8e-07 8.2e-03 1.2e-05 9.99e-01 1.710737545e+01 1.710782808e+01 1.1e-10 0.48 63 1.6e-07 8.1e-03 1.1e-05 9.99e-01 1.710740811e+01 1.710781552e+01 9.9e-11 0.49 64 1.4e-07 8.0e-03 9.8e-06 1.00e+00 1.710743750e+01 1.710780418e+01 9.0e-11 0.50 65 1.3e-07 7.9e-03 8.8e-06 1.00e+00 1.710746397e+01 1.710779391e+01 8.1e-11 0.51 66 1.2e-07 7.8e-03 7.9e-06 9.99e-01 1.710748776e+01 1.710778475e+01 7.3e-11 0.51 67 1.0e-07 7.8e-03 7.1e-06 1.00e+00 1.710750918e+01 1.710777649e+01 6.5e-11 0.52 68 9.4e-08 7.7e-03 6.4e-06 1.00e+00 1.710752847e+01 1.710776898e+01 5.9e-11 0.53 69 8.4e-08 7.6e-03 5.8e-06 1.00e+00 1.710754580e+01 1.710776232e+01 5.3e-11 0.54 70 7.6e-08 7.6e-03 5.2e-06 9.95e-01 1.710756140e+01 1.710775629e+01 4.8e-11 0.54 71 6.8e-08 6.8e-03 4.7e-06 1.01e+00 1.710757586e+01 1.710775064e+01 4.3e-11 0.55 72 6.1e-08 6.1e-03 4.2e-06 1.01e+00 1.710758878e+01 1.710774560e+01 3.9e-11 0.56 73 5.5e-08 5.5e-03 3.8e-06 1.00e+00 1.710760017e+01 1.710774115e+01 3.5e-11 0.56 74 5.0e-08 5.0e-03 3.4e-06 1.00e+00 1.710761034e+01 1.710773720e+01 3.1e-11 0.57 75 4.5e-08 4.5e-03 3.1e-06 1.00e+00 1.710761949e+01 1.710773366e+01 2.8e-11 0.58 76 4.0e-08 4.0e-03 2.8e-06 9.94e-01 1.710762772e+01 1.710773048e+01 2.5e-11 0.59 77 3.6e-08 3.6e-03 2.5e-06 9.85e-01 1.710763512e+01 1.710772765e+01 2.3e-11 0.59 78 3.3e-08 3.3e-03 2.2e-06 9.96e-01 1.710764178e+01 1.710772505e+01 2.1e-11 0.60 79 2.9e-08 2.9e-03 2.0e-06 9.87e-01 1.710764777e+01 1.710772278e+01 1.9e-11 0.61 80 2.6e-08 2.6e-03 1.8e-06 1.03e+00 1.710765382e+01 1.710772037e+01 1.7e-11 0.61 81 2.4e-08 2.4e-03 1.6e-06 9.94e-01 1.710765862e+01 1.710771849e+01 1.5e-11 0.62 82 2.2e-08 2.1e-03 1.5e-06 1.02e+00 1.710766333e+01 1.710771666e+01 1.4e-11 0.63 83 1.9e-08 1.9e-03 1.3e-06 1.02e+00 1.710766754e+01 1.710771504e+01 1.3e-11 0.64 84 1.7e-08 1.7e-03 1.2e-06 1.01e+00 1.710767111e+01 1.710771362e+01 1.1e-11 0.64 85 1.6e-08 1.6e-03 1.1e-06 1.03e+00 1.710767454e+01 1.710771233e+01 1.0e-11 0.65 86 1.4e-08 1.4e-03 9.6e-07 1.06e+00 1.710767804e+01 1.710771088e+01 9.7e-12 0.66 87 1.3e-08 1.3e-03 8.7e-07 1.03e+00 1.710768071e+01 1.710770982e+01 8.8e-12 0.66 88 1.1e-08 1.1e-03 7.8e-07 1.03e+00 1.710768305e+01 1.710770893e+01 8.0e-12 0.67 89 1.0e-08 1.0e-03 7.0e-07 1.01e+00 1.710768495e+01 1.710770820e+01 7.2e-12 0.68 90 9.4e-09 9.2e-04 6.3e-07 9.61e-01 1.710768662e+01 1.710770759e+01 6.5e-12 0.69 91 8.5e-09 8.3e-04 5.7e-07 1.00e+00 1.710768812e+01 1.710770705e+01 5.9e-12 0.70 92 7.8e-09 7.5e-04 5.1e-07 1.05e+00 1.710768975e+01 1.710770640e+01 5.4e-12 0.71 93 7.1e-09 6.7e-04 4.6e-07 1.07e+00 1.710769135e+01 1.710770574e+01 5.0e-12 0.72 94 7.2e-09 6.0e-04 4.1e-07 9.71e-01 1.710769242e+01 1.710770523e+01 4.5e-12 0.73 95 6.5e-09 5.4e-04 3.7e-07 1.21e+00 1.710769336e+01 1.710770485e+01 4.1e-12 0.75 96 6.1e-09 4.9e-04 3.4e-07 9.46e-01 1.710769420e+01 1.710770451e+01 3.7e-12 0.76 97 1.7e-08 1.4e-05 9.7e-09 7.37e-01 1.710770232e+01 1.710770267e+01 5.9e-13 0.77 Optimizer terminated. Time: 0.77 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.7107702318e+01 nrm: 2e+01 Viol. con: 3e-07 var: 0e+00 Dual. obj: 1.7107702672e+01 nrm: 8e+02 Viol. con: 0e+00 var: 1e-04 * End solution on dual form. * Transforming to primal solution. Solving took 0.792 seconds. Using solver 'mosek' Solving for 1775 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 : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.3e+05 0.00e+00 -1.250270741e+05 2.000000000e+00 1.0e+00 0.03 1 1.7e+03 2.4e+03 9.2e+04 -9.71e-01 -1.243207776e+05 2.624603258e+00 7.4e-01 0.04 2 8.3e+02 1.2e+03 4.5e+04 -9.60e-01 -1.216700813e+05 4.957499559e+00 3.6e-01 0.05 3 2.9e+02 4.1e+02 1.6e+04 -9.17e-01 -1.128033096e+05 2.075355217e+01 1.3e-01 0.05 4 2.9e+02 4.1e+02 1.6e+04 -7.70e-01 -1.104681280e+05 2.068242143e+03 1.3e-01 0.06 5 1.3e+02 1.8e+02 6.9e+03 -7.60e-01 -9.048174496e+04 5.984247438e+03 5.6e-02 0.07 6 3.5e+01 5.0e+01 1.9e+03 -4.71e-01 -4.418435888e+04 1.160723548e+04 1.6e-02 0.08 7 2.2e+01 3.1e+01 1.2e+03 3.00e-01 -3.129146318e+04 7.516174286e+03 9.8e-03 0.08 8 1.1e+01 1.5e+01 5.8e+02 5.40e-01 -1.624925675e+04 4.368102437e+03 4.7e-03 0.09 9 5.5e+00 7.8e+00 3.1e+02 7.94e-01 -8.676109262e+03 2.655179430e+03 2.5e-03 0.10 10 1.8e+00 2.6e+00 1.0e+02 9.20e-01 -2.852851343e+03 9.792078327e+02 8.2e-04 0.10 11 8.1e-01 1.1e+00 4.5e+01 9.91e-01 -1.215865892e+03 4.941375988e+02 3.7e-04 0.11 12 7.4e-01 1.0e+00 4.1e+01 9.74e-01 -1.142320143e+03 4.497511345e+02 3.4e-04 0.12 13 6.5e-01 9.1e-01 3.6e+01 9.85e-01 -9.879590399e+02 4.054971915e+02 3.0e-04 0.13 14 2.3e-01 3.4e-01 1.3e+01 9.88e-01 -3.584047841e+02 1.492768497e+02 1.1e-04 0.13 15 9.1e-02 1.8e-01 5.2e+00 1.01e+00 -1.378919887e+02 6.267577957e+01 4.3e-05 0.14 16 4.1e-02 1.4e-01 2.4e+00 1.00e+00 -6.048370034e+01 3.053726842e+01 2.0e-05 0.15 17 3.8e-02 1.3e-01 2.2e+00 1.00e+00 -5.594499327e+01 2.938226351e+01 1.9e-05 0.16 18 2.5e-02 9.1e-02 1.4e+00 1.00e+00 -3.300319896e+01 2.205851647e+01 1.2e-05 0.16 19 2.3e-02 8.5e-02 1.4e+00 1.02e+00 -2.987125630e+01 2.159892480e+01 1.1e-05 0.17 20 1.0e-02 5.3e-02 5.9e-01 1.02e+00 -6.089339307e+00 1.602613932e+01 5.0e-06 0.18 21 2.1e-03 1.1e-01 1.3e-01 1.02e+00 7.611828223e+00 1.243532059e+01 1.1e-06 0.18 22 1.2e-03 7.5e-02 7.8e-02 9.63e-01 8.880527272e+00 1.178505255e+01 6.8e-07 0.19 23 3.8e-04 8.7e-02 2.5e-02 9.54e-01 1.042682605e+01 1.138750876e+01 2.3e-07 0.20 24 2.1e-04 6.7e-02 1.5e-02 9.52e-01 1.074149394e+01 1.129383031e+01 1.3e-07 0.21 25 1.1e-04 5.8e-02 7.5e-03 9.64e-01 1.095331785e+01 1.124186321e+01 6.8e-08 0.21 26 9.9e-05 5.4e-02 6.8e-03 9.95e-01 1.098028895e+01 1.124170129e+01 6.2e-08 0.22 27 8.9e-05 4.9e-02 6.1e-03 9.94e-01 1.100072729e+01 1.123605196e+01 5.6e-08 0.23 28 8.0e-05 4.5e-02 5.5e-03 9.94e-01 1.101911153e+01 1.123103417e+01 5.0e-08 0.24 29 7.2e-05 4.1e-02 5.0e-03 9.95e-01 1.103568218e+01 1.122648982e+01 4.5e-08 0.24 30 6.5e-05 3.8e-02 4.5e-03 9.95e-01 1.105057209e+01 1.122236424e+01 4.1e-08 0.25 31 5.8e-05 3.5e-02 4.0e-03 9.96e-01 1.106393210e+01 1.121859836e+01 3.7e-08 0.26 32 5.3e-05 3.2e-02 3.6e-03 9.96e-01 1.107592213e+01 1.121516557e+01 3.3e-08 0.27 33 4.7e-05 3.0e-02 3.3e-03 9.97e-01 1.108668340e+01 1.121203842e+01 3.0e-08 0.27 34 4.3e-05 2.7e-02 2.9e-03 9.97e-01 1.109634299e+01 1.120919199e+01 2.7e-08 0.28 35 3.8e-05 2.5e-02 2.6e-03 9.97e-01 1.110501461e+01 1.120660292e+01 2.4e-08 0.29 36 3.4e-05 2.4e-02 2.4e-03 9.98e-01 1.111280018e+01 1.120424951e+01 2.2e-08 0.30 37 3.1e-05 2.2e-02 2.1e-03 9.98e-01 1.111979101e+01 1.120211169e+01 2.0e-08 0.30 38 2.8e-05 2.1e-02 1.9e-03 9.98e-01 1.112606890e+01 1.120017090e+01 1.8e-08 0.31 39 2.5e-05 1.9e-02 1.7e-03 9.98e-01 1.113170716e+01 1.119840990e+01 1.6e-08 0.32 40 2.3e-05 1.8e-02 1.6e-03 9.99e-01 1.113677150e+01 1.119681297e+01 1.4e-08 0.33 41 2.0e-05 1.7e-02 1.4e-03 9.99e-01 1.114132079e+01 1.119536546e+01 1.3e-08 0.33 42 1.8e-05 1.6e-02 1.3e-03 9.99e-01 1.114540783e+01 1.119405406e+01 1.2e-08 0.34 43 1.6e-05 1.5e-02 1.1e-03 9.99e-01 1.114907991e+01 1.119286642e+01 1.0e-08 0.35 44 1.5e-05 1.4e-02 1.0e-03 9.99e-01 1.115237946e+01 1.119179136e+01 9.3e-09 0.35 45 1.3e-05 1.4e-02 9.2e-04 9.99e-01 1.115534449e+01 1.119081854e+01 8.4e-09 0.36 46 1.2e-05 1.3e-02 8.3e-04 9.99e-01 1.115800911e+01 1.118993849e+01 7.6e-09 0.37 47 1.1e-05 1.3e-02 7.5e-04 1.00e+00 1.116040391e+01 1.118914262e+01 6.8e-09 0.38 48 9.7e-06 1.2e-02 6.7e-04 1.00e+00 1.116255631e+01 1.118842301e+01 6.1e-09 0.38 49 8.8e-06 1.2e-02 6.1e-04 1.00e+00 1.116449092e+01 1.118777250e+01 5.5e-09 0.39 50 7.9e-06 1.1e-02 5.5e-04 1.00e+00 1.116622983e+01 1.118718452e+01 5.0e-09 0.40 51 7.1e-06 1.1e-02 4.9e-04 1.00e+00 1.116779284e+01 1.118665307e+01 4.5e-09 0.41 52 6.4e-06 1.0e-02 4.4e-04 1.00e+00 1.116919778e+01 1.118617286e+01 4.0e-09 0.41 53 5.8e-06 1.0e-02 4.0e-04 1.00e+00 1.117046070e+01 1.118573902e+01 3.6e-09 0.42 54 5.2e-06 9.8e-03 3.6e-04 1.00e+00 1.117159605e+01 1.118534710e+01 3.3e-09 0.43 55 4.7e-06 9.6e-03 3.2e-04 1.00e+00 1.117261686e+01 1.118499326e+01 2.9e-09 0.44 56 4.2e-06 9.4e-03 2.9e-04 1.00e+00 1.117353476e+01 1.118467393e+01 2.6e-09 0.44 57 3.8e-06 9.2e-03 2.6e-04 1.00e+00 1.117436018e+01 1.118438575e+01 2.4e-09 0.45 58 3.4e-06 9.0e-03 2.3e-04 1.00e+00 1.117510251e+01 1.118412577e+01 2.1e-09 0.46 59 3.1e-06 8.8e-03 2.1e-04 1.00e+00 1.117577011e+01 1.118389128e+01 1.9e-09 0.47 60 2.8e-06 8.7e-03 1.9e-04 1.00e+00 1.117637054e+01 1.118367976e+01 1.7e-09 0.47 61 2.5e-06 8.5e-03 1.7e-04 1.00e+00 1.117691057e+01 1.118348902e+01 1.6e-09 0.48 62 2.2e-06 8.4e-03 1.5e-04 1.00e+00 1.117739630e+01 1.118331698e+01 1.4e-09 0.49 63 2.0e-06 8.3e-03 1.4e-04 1.00e+00 1.117783318e+01 1.118316189e+01 1.3e-09 0.50 64 1.8e-06 8.2e-03 1.2e-04 1.00e+00 1.117822612e+01 1.118302204e+01 1.1e-09 0.50 65 1.6e-06 8.1e-03 1.1e-04 1.00e+00 1.117857955e+01 1.118289595e+01 1.0e-09 0.51 66 1.5e-06 8.0e-03 1.0e-04 1.00e+00 1.117889744e+01 1.118278226e+01 9.2e-10 0.52 67 1.3e-06 7.9e-03 9.1e-05 1.00e+00 1.117918336e+01 1.118267972e+01 8.3e-10 0.53 68 1.2e-06 7.9e-03 8.2e-05 1.00e+00 1.117944051e+01 1.118258728e+01 7.5e-10 0.53 69 1.1e-06 7.8e-03 7.4e-05 1.00e+00 1.117967178e+01 1.118250391e+01 6.7e-10 0.54 70 9.6e-07 7.7e-03 6.6e-05 1.00e+00 1.117987977e+01 1.118242872e+01 6.0e-10 0.55 71 8.6e-07 7.7e-03 6.0e-05 1.00e+00 1.118006683e+01 1.118236089e+01 5.4e-10 0.56 72 7.8e-07 7.6e-03 5.4e-05 1.00e+00 1.118023505e+01 1.118229974e+01 4.9e-10 0.57 73 7.0e-07 7.6e-03 4.8e-05 1.00e+00 1.118038636e+01 1.118224459e+01 4.4e-10 0.57 74 6.3e-07 7.5e-03 4.4e-05 1.00e+00 1.118052245e+01 1.118219485e+01 4.0e-10 0.58 75 5.7e-07 7.5e-03 3.9e-05 1.00e+00 1.118064486e+01 1.118215004e+01 3.6e-10 0.59 76 5.1e-07 7.5e-03 3.5e-05 1.00e+00 1.118075498e+01 1.118210963e+01 3.2e-10 0.60 77 4.6e-07 7.4e-03 3.2e-05 1.00e+00 1.118085404e+01 1.118207322e+01 2.9e-10 0.61 78 4.1e-07 7.4e-03 2.9e-05 1.00e+00 1.118094316e+01 1.118204044e+01 2.6e-10 0.61 79 3.7e-07 7.4e-03 2.6e-05 1.00e+00 1.118102335e+01 1.118201089e+01 2.3e-10 0.62 80 3.3e-07 7.3e-03 2.3e-05 1.00e+00 1.118109550e+01 1.118198427e+01 2.1e-10 0.63 81 3.0e-07 7.3e-03 2.1e-05 1.00e+00 1.118116041e+01 1.118196029e+01 1.9e-10 0.64 82 2.7e-07 7.3e-03 1.9e-05 1.00e+00 1.118121881e+01 1.118193872e+01 1.7e-10 0.64 83 2.4e-07 7.3e-03 1.7e-05 1.00e+00 1.118127137e+01 1.118191928e+01 1.5e-10 0.65 84 2.2e-07 7.3e-03 1.5e-05 1.00e+00 1.118131866e+01 1.118190176e+01 1.4e-10 0.66 85 2.0e-07 7.2e-03 1.4e-05 1.00e+00 1.118136122e+01 1.118188597e+01 1.2e-10 0.67 86 1.8e-07 7.2e-03 1.2e-05 1.00e+00 1.118139951e+01 1.118187178e+01 1.1e-10 0.67 87 1.6e-07 7.2e-03 1.1e-05 1.00e+00 1.118143396e+01 1.118185901e+01 1.0e-10 0.68 88 1.4e-07 7.2e-03 1.0e-05 1.00e+00 1.118146497e+01 1.118184750e+01 9.1e-11 0.69 89 1.3e-07 7.2e-03 9.0e-06 1.00e+00 1.118149287e+01 1.118183714e+01 8.2e-11 0.70 90 1.2e-07 7.2e-03 8.1e-06 9.99e-01 1.118151797e+01 1.118182783e+01 7.4e-11 0.71 91 1.0e-07 7.1e-03 7.3e-06 1.00e+00 1.118154056e+01 1.118181942e+01 6.6e-11 0.71 92 9.4e-08 7.1e-03 6.5e-06 1.00e+00 1.118156090e+01 1.118181186e+01 6.0e-11 0.72 93 8.5e-08 7.1e-03 5.9e-06 1.00e+00 1.118157919e+01 1.118180506e+01 5.4e-11 0.73 94 7.6e-08 7.1e-03 5.3e-06 1.00e+00 1.118159566e+01 1.118179892e+01 4.8e-11 0.74 95 6.9e-08 7.1e-03 4.8e-06 9.97e-01 1.118161047e+01 1.118179343e+01 4.3e-11 0.74 96 6.2e-08 7.1e-03 4.3e-06 9.95e-01 1.118162379e+01 1.118178850e+01 3.9e-11 0.75 97 5.6e-08 6.4e-03 3.9e-06 1.00e+00 1.118163588e+01 1.118178398e+01 3.5e-11 0.76 98 5.0e-08 5.7e-03 3.5e-06 9.94e-01 1.118164667e+01 1.118177997e+01 3.2e-11 0.77 99 4.5e-08 5.2e-03 3.1e-06 9.96e-01 1.118165637e+01 1.118177638e+01 2.9e-11 0.77 100 4.1e-08 4.6e-03 2.8e-06 9.95e-01 1.118166510e+01 1.118177314e+01 2.6e-11 0.78 101 3.7e-08 4.2e-03 2.5e-06 1.00e+00 1.118167299e+01 1.118177019e+01 2.3e-11 0.79 102 3.3e-08 3.8e-03 2.3e-06 9.91e-01 1.118168006e+01 1.118176759e+01 2.1e-11 0.80 103 3.0e-08 3.4e-03 2.0e-06 9.97e-01 1.118168642e+01 1.118176521e+01 1.9e-11 0.80 104 2.7e-08 3.0e-03 1.8e-06 9.98e-01 1.118169216e+01 1.118176307e+01 1.7e-11 0.81 105 2.4e-08 2.7e-03 1.7e-06 1.00e+00 1.118169732e+01 1.118176114e+01 1.5e-11 0.82 106 2.2e-08 2.5e-03 1.5e-06 9.92e-01 1.118170196e+01 1.118175941e+01 1.4e-11 0.82 107 1.9e-08 2.2e-03 1.3e-06 1.02e+00 1.118170645e+01 1.118175770e+01 1.2e-11 0.83 108 1.8e-08 2.0e-03 1.2e-06 1.00e+00 1.118171021e+01 1.118175630e+01 1.1e-11 0.84 109 1.6e-08 1.8e-03 1.1e-06 1.01e+00 1.118171373e+01 1.118175495e+01 1.0e-11 0.85 110 1.4e-08 1.6e-03 9.8e-07 1.01e+00 1.118171681e+01 1.118175379e+01 9.1e-12 0.86 111 1.3e-08 1.5e-03 8.8e-07 1.00e+00 1.118171952e+01 1.118175278e+01 8.2e-12 0.87 112 4.7e-09 1.5e-04 9.0e-08 9.95e-01 1.118174123e+01 1.118174464e+01 8.4e-13 0.87 Optimizer terminated. Time: 0.88 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.1181741231e+01 nrm: 1e+01 Viol. con: 1e-07 var: 0e+00 Dual. obj: 1.1181744640e+01 nrm: 9e+02 Viol. con: 0e+00 var: 1e-03 * End solution on dual form. * Transforming to primal solution. Solving took 0.901 seconds. Using solver 'mosek' Solving for 1775 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 : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.2e+05 0.00e+00 -1.249287695e+05 2.000000000e+00 1.0e+00 0.03 1 1.7e+03 2.4e+03 9.3e+04 -9.71e-01 -1.242374486e+05 2.606888077e+00 7.4e-01 0.04 2 8.5e+02 1.2e+03 4.7e+04 -9.60e-01 -1.217140125e+05 4.775536278e+00 3.7e-01 0.05 3 2.9e+02 4.1e+02 1.6e+04 -9.19e-01 -1.127253951e+05 2.033016783e+01 1.3e-01 0.05 4 2.9e+02 4.1e+02 1.6e+04 -7.71e-01 -1.103499088e+05 2.101397753e+03 1.3e-01 0.06 5 1.2e+02 1.7e+02 6.7e+03 -7.61e-01 -8.985705362e+04 6.093204097e+03 5.5e-02 0.07 6 4.0e+01 5.7e+01 2.2e+03 -4.63e-01 -4.909740694e+04 1.113009726e+04 1.8e-02 0.08 7 2.4e+01 3.4e+01 1.3e+03 2.12e-01 -3.374705674e+04 7.535180849e+03 1.1e-02 0.08 8 1.2e+01 1.7e+01 6.8e+02 5.02e-01 -1.912040164e+04 4.578726894e+03 5.5e-03 0.09 9 4.8e+00 6.8e+00 2.7e+02 7.52e-01 -7.682204556e+03 2.209302561e+03 2.2e-03 0.10 10 2.6e+00 3.6e+00 1.4e+02 9.30e-01 -3.973296552e+03 1.379781702e+03 1.2e-03 0.10 11 1.0e+00 1.4e+00 5.6e+01 9.78e-01 -1.563023263e+03 5.613105700e+02 4.6e-04 0.11 12 7.8e-01 1.1e+00 4.3e+01 9.88e-01 -1.206955301e+03 4.546116117e+02 3.5e-04 0.12 13 5.2e-01 7.9e-01 2.9e+01 9.73e-01 -8.099612121e+02 3.065090474e+02 2.4e-04 0.13 14 2.8e-01 4.2e-01 1.6e+01 1.00e+00 -4.113496929e+02 1.880646011e+02 1.3e-04 0.14 15 1.0e-01 1.8e-01 5.8e+00 9.96e-01 -1.544991150e+02 7.005066031e+01 4.8e-05 0.15 16 4.6e-02 1.1e-01 2.7e+00 1.01e+00 -6.883267579e+01 3.318105555e+01 2.2e-05 0.15 17 4.3e-02 1.0e-01 2.5e+00 1.01e+00 -6.346275035e+01 3.158798146e+01 2.1e-05 0.16 18 2.9e-02 7.7e-02 1.7e+00 1.01e+00 -3.931532656e+01 2.370491901e+01 1.4e-05 0.17 19 2.7e-02 7.2e-02 1.5e+00 1.02e+00 -3.531635228e+01 2.297334857e+01 1.3e-05 0.18 20 1.0e-02 6.2e-02 6.0e-01 1.02e+00 -6.648170881e+00 1.584808204e+01 5.0e-06 0.18 21 2.7e-03 9.4e-02 1.6e-01 1.02e+00 6.348127776e+00 1.230866076e+01 1.4e-06 0.19 22 1.7e-03 6.9e-02 1.0e-01 9.76e-01 7.987127271e+00 1.176090765e+01 8.6e-07 0.20 23 1.2e-03 7.3e-02 7.1e-02 9.57e-01 8.837421618e+00 1.154296500e+01 6.1e-07 0.21 24 5.8e-04 5.1e-02 3.6e-02 9.64e-01 9.834588692e+00 1.122987673e+01 3.2e-07 0.21 25 4.0e-04 4.5e-02 2.5e-02 9.73e-01 1.016077941e+01 1.113349152e+01 2.2e-07 0.22 26 2.2e-04 4.3e-02 1.4e-02 9.74e-01 1.050803546e+01 1.104452777e+01 1.2e-07 0.23 27 2.0e-04 4.0e-02 1.2e-02 9.87e-01 1.055731040e+01 1.104022701e+01 1.1e-07 0.23 28 1.8e-04 3.7e-02 1.1e-02 9.87e-01 1.059471411e+01 1.102977654e+01 9.9e-08 0.24 29 1.6e-04 3.4e-02 1.0e-02 9.88e-01 1.062943803e+01 1.102129600e+01 8.9e-08 0.25 30 1.4e-04 3.1e-02 9.1e-03 9.89e-01 1.066078189e+01 1.101374324e+01 8.0e-08 0.26 31 1.3e-04 2.9e-02 8.2e-03 9.90e-01 1.068883571e+01 1.100672010e+01 7.2e-08 0.26 32 1.2e-04 2.7e-02 7.3e-03 9.91e-01 1.071399187e+01 1.100027943e+01 6.5e-08 0.27 33 1.0e-04 2.5e-02 6.6e-03 9.92e-01 1.073656869e+01 1.099438347e+01 5.9e-08 0.28 34 9.3e-05 2.3e-02 5.9e-03 9.93e-01 1.075680197e+01 1.098896502e+01 5.3e-08 0.29 35 8.4e-05 2.2e-02 5.4e-03 9.93e-01 1.077495166e+01 1.098400646e+01 4.7e-08 0.29 36 7.6e-05 2.0e-02 4.8e-03 9.94e-01 1.079123434e+01 1.097947329e+01 4.3e-08 0.30 37 6.8e-05 1.9e-02 4.3e-03 9.94e-01 1.080584206e+01 1.097533152e+01 3.8e-08 0.31 38 6.1e-05 1.8e-02 3.9e-03 9.95e-01 1.081894922e+01 1.097155150e+01 3.5e-08 0.32 39 5.5e-05 1.7e-02 3.5e-03 9.95e-01 1.083071118e+01 1.096810447e+01 3.1e-08 0.32 40 5.0e-05 1.6e-02 3.2e-03 9.96e-01 1.084126629e+01 1.096496271e+01 2.8e-08 0.33 41 4.5e-05 1.5e-02 2.8e-03 9.96e-01 1.085073814e+01 1.096210006e+01 2.5e-08 0.34 42 4.0e-05 1.4e-02 2.6e-03 9.97e-01 1.085923762e+01 1.095949236e+01 2.3e-08 0.35 43 3.6e-05 1.4e-02 2.3e-03 9.97e-01 1.086686452e+01 1.095711771e+01 2.0e-08 0.35 44 3.3e-05 1.3e-02 2.1e-03 9.97e-01 1.087370881e+01 1.095495638e+01 1.8e-08 0.36 45 2.9e-05 1.2e-02 1.9e-03 9.98e-01 1.087985146e+01 1.095299048e+01 1.7e-08 0.37 46 2.6e-05 1.2e-02 1.7e-03 9.98e-01 1.088536519e+01 1.095120363e+01 1.5e-08 0.37 47 2.4e-05 1.2e-02 1.5e-03 9.98e-01 1.089031518e+01 1.094958072e+01 1.3e-08 0.38 48 2.1e-05 1.1e-02 1.4e-03 9.98e-01 1.089475978e+01 1.094810775e+01 1.2e-08 0.39 49 1.9e-05 1.1e-02 1.2e-03 9.99e-01 1.089875122e+01 1.094677176e+01 1.1e-08 0.40 50 1.7e-05 1.0e-02 1.1e-03 9.99e-01 1.090233623e+01 1.094556079e+01 9.8e-09 0.40 51 1.6e-05 1.0e-02 9.9e-04 9.99e-01 1.090555666e+01 1.094446373e+01 8.8e-09 0.41 52 1.4e-05 9.9e-03 8.9e-04 9.99e-01 1.090844999e+01 1.094347044e+01 7.9e-09 0.42 53 1.3e-05 9.7e-03 8.1e-04 9.99e-01 1.091104977e+01 1.094257153e+01 7.1e-09 0.43 54 1.1e-05 9.5e-03 7.2e-04 9.99e-01 1.091338608e+01 1.094175841e+01 6.4e-09 0.43 55 1.0e-05 9.3e-03 6.5e-04 9.99e-01 1.091548584e+01 1.094102320e+01 5.8e-09 0.44 56 9.2e-06 9.1e-03 5.9e-04 9.99e-01 1.091737321e+01 1.094035869e+01 5.2e-09 0.45 57 8.3e-06 8.9e-03 5.3e-04 9.99e-01 1.091906980e+01 1.093975827e+01 4.7e-09 0.45 58 7.5e-06 8.8e-03 4.8e-04 1.00e+00 1.092059500e+01 1.093921589e+01 4.2e-09 0.46 59 6.7e-06 8.6e-03 4.3e-04 1.00e+00 1.092196621e+01 1.093872604e+01 3.8e-09 0.47 60 6.0e-06 8.5e-03 3.9e-04 1.00e+00 1.092319900e+01 1.093828370e+01 3.4e-09 0.48 61 5.4e-06 8.4e-03 3.5e-04 1.00e+00 1.092430737e+01 1.093788430e+01 3.1e-09 0.48 62 4.9e-06 8.3e-03 3.1e-04 1.00e+00 1.092530389e+01 1.093752371e+01 2.8e-09 0.49 63 2.0e-06 3.3e-03 1.3e-04 1.00e+00 1.093064634e+01 1.093555135e+01 1.1e-09 0.50 64 6.8e-07 1.1e-03 4.3e-05 1.00e+00 1.093298012e+01 1.093468068e+01 3.8e-10 0.51 65 6.1e-07 1.0e-03 3.9e-05 1.00e+00 1.093311274e+01 1.093464331e+01 3.5e-10 0.51 66 2.3e-07 3.8e-04 1.5e-05 1.00e+00 1.093380546e+01 1.093437608e+01 1.3e-10 0.52 67 2.0e-07 3.4e-04 1.3e-05 1.00e+00 1.093384753e+01 1.093436108e+01 1.2e-10 0.53 68 1.8e-07 3.1e-04 1.2e-05 1.00e+00 1.093388454e+01 1.093434676e+01 1.0e-10 0.54 69 1.7e-07 2.8e-04 1.1e-05 1.00e+00 1.093391786e+01 1.093433386e+01 9.4e-11 0.54 70 1.5e-07 2.5e-04 9.6e-06 1.00e+00 1.093394784e+01 1.093432223e+01 8.5e-11 0.55 71 1.3e-07 2.3e-04 8.6e-06 1.00e+00 1.093397481e+01 1.093431177e+01 7.6e-11 0.56 72 1.2e-07 2.0e-04 7.7e-06 1.00e+00 1.093399908e+01 1.093430236e+01 6.9e-11 0.57 73 1.1e-07 1.8e-04 7.0e-06 1.00e+00 1.093402092e+01 1.093429390e+01 6.2e-11 0.58 74 9.8e-08 1.6e-04 6.3e-06 1.00e+00 1.093404058e+01 1.093428626e+01 5.6e-11 0.60 75 8.8e-08 1.5e-04 5.6e-06 1.00e+00 1.093405827e+01 1.093427936e+01 5.0e-11 0.60 76 7.9e-08 1.3e-04 5.1e-06 1.00e+00 1.093407419e+01 1.093427317e+01 4.5e-11 0.61 77 7.1e-08 1.2e-04 4.6e-06 1.00e+00 1.093408854e+01 1.093426754e+01 4.1e-11 0.62 78 6.4e-08 1.1e-04 4.1e-06 1.00e+00 1.093410143e+01 1.093426252e+01 3.6e-11 0.62 79 5.8e-08 9.7e-05 3.7e-06 1.00e+00 1.093411303e+01 1.093425802e+01 3.3e-11 0.63 80 5.2e-08 8.8e-05 3.3e-06 1.00e+00 1.093412346e+01 1.093425396e+01 3.0e-11 0.64 81 4.7e-08 7.9e-05 3.0e-06 1.00e+00 1.093413287e+01 1.093425029e+01 2.7e-11 0.65 82 4.2e-08 7.1e-05 2.7e-06 1.00e+00 1.093414137e+01 1.093424697e+01 2.4e-11 0.65 83 3.8e-08 6.4e-05 2.4e-06 1.00e+00 1.093414902e+01 1.093424398e+01 2.2e-11 0.66 84 3.5e-08 5.7e-05 2.2e-06 1.00e+00 1.093415592e+01 1.093424130e+01 1.9e-11 0.67 85 3.1e-08 5.2e-05 2.0e-06 1.01e+00 1.093416227e+01 1.093423880e+01 1.8e-11 0.68 86 2.8e-08 4.7e-05 1.8e-06 9.96e-01 1.093416777e+01 1.093423667e+01 1.6e-11 0.68 87 2.5e-08 4.2e-05 1.6e-06 9.97e-01 1.093417273e+01 1.093423474e+01 1.4e-11 0.69 88 2.3e-08 3.8e-05 1.4e-06 1.00e+00 1.093417725e+01 1.093423299e+01 1.3e-11 0.70 89 2.0e-08 3.4e-05 1.3e-06 1.00e+00 1.093418126e+01 1.093423142e+01 1.2e-11 0.70 90 1.8e-08 3.1e-05 1.2e-06 9.99e-01 1.093418487e+01 1.093423002e+01 1.0e-11 0.71 91 1.6e-08 2.7e-05 1.0e-06 9.93e-01 1.093418810e+01 1.093422880e+01 9.3e-12 0.72 92 1.5e-08 2.5e-05 9.4e-07 1.01e+00 1.093419111e+01 1.093422762e+01 8.4e-12 0.73 93 1.3e-08 2.2e-05 8.5e-07 1.00e+00 1.093419377e+01 1.093422658e+01 7.6e-12 0.73 94 1.2e-08 2.0e-05 7.6e-07 9.87e-01 1.093419610e+01 1.093422573e+01 6.8e-12 0.74 95 1.1e-08 1.8e-05 6.9e-07 1.00e+00 1.093419827e+01 1.093422485e+01 6.2e-12 0.75 96 1.0e-08 1.6e-05 6.2e-07 9.71e-01 1.093420016e+01 1.093422417e+01 5.6e-12 0.75 97 9.2e-09 1.5e-05 5.6e-07 1.02e+00 1.093420203e+01 1.093422340e+01 5.0e-12 0.76 98 8.5e-09 1.3e-05 5.0e-07 9.99e-01 1.093420356e+01 1.093422278e+01 4.5e-12 0.77 99 1.1e-08 1.2e-05 4.5e-07 1.13e+00 1.093420579e+01 1.093422176e+01 4.4e-12 0.78 100 9.7e-09 1.1e-05 4.1e-07 1.09e+00 1.093420744e+01 1.093422108e+01 4.1e-12 0.78 101 2.6e-08 8.6e-08 3.4e-09 9.41e-01 1.093421783e+01 1.093421796e+01 3.7e-13 0.79 Optimizer terminated. Time: 0.79 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0934217833e+01 nrm: 1e+01 Viol. con: 6e-07 var: 0e+00 Dual. obj: 1.0934217958e+01 nrm: 9e+02 Viol. con: 0e+00 var: 6e-07 * End solution on dual form. * Transforming to primal solution. Solving took 0.816 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.2e+05 0.00e+00 -1.249473428e+05 2.000000000e+00 1.0e+00 0.04 1 1.7e+03 2.4e+03 9.3e+04 -9.71e-01 -1.242604881e+05 2.599297019e+00 7.4e-01 0.05 2 8.6e+02 1.2e+03 4.7e+04 -9.60e-01 -1.217704604e+05 4.724237197e+00 3.8e-01 0.05 3 2.9e+02 4.0e+02 1.6e+04 -9.20e-01 -1.127270010e+05 2.031982436e+01 1.3e-01 0.06 4 2.9e+02 4.0e+02 1.6e+04 -7.71e-01 -1.103839520e+05 2.077161936e+03 1.3e-01 0.07 5 1.2e+02 1.7e+02 6.6e+03 -7.61e-01 -8.937009405e+04 6.230329713e+03 5.4e-02 0.08 6 3.3e+01 4.6e+01 1.8e+03 -4.57e-01 -4.151418283e+04 1.212611851e+04 1.5e-02 0.09 7 2.1e+01 2.9e+01 1.1e+03 3.49e-01 -2.922598116e+04 7.732397567e+03 9.2e-03 0.10 8 1.0e+01 1.4e+01 5.5e+02 5.84e-01 -1.561855006e+04 4.166915349e+03 4.5e-03 0.11 9 3.3e+00 4.7e+00 1.8e+02 8.13e-01 -5.266053794e+03 1.677044161e+03 1.5e-03 0.11 10 1.8e+00 2.5e+00 9.8e+01 9.64e-01 -2.711410988e+03 1.016533085e+03 8.0e-04 0.12 11 7.7e-01 1.1e+00 4.3e+01 9.92e-01 -1.170051656e+03 4.601503899e+02 3.5e-04 0.13 12 7.4e-01 1.1e+00 4.1e+01 9.54e-01 -1.148383366e+03 4.370516700e+02 3.4e-04 0.14 13 3.9e-01 5.8e-01 2.2e+01 9.82e-01 -6.027888107e+02 2.386676464e+02 1.8e-04 0.15 14 2.1e-01 3.3e-01 1.2e+01 1.01e+00 -3.179681384e+02 1.364227470e+02 9.8e-05 0.15 15 5.8e-02 1.5e-01 3.4e+00 1.00e+00 -8.958448976e+01 4.038349311e+01 2.8e-05 0.16 16 4.4e-02 1.2e-01 2.6e+00 1.01e+00 -6.446786946e+01 3.374762804e+01 2.2e-05 0.17 17 2.2e-02 8.8e-02 1.3e+00 1.01e+00 -2.819623779e+01 1.978038942e+01 1.1e-05 0.18 18 7.8e-03 4.7e-02 4.6e-01 1.03e+00 -2.181471921e+00 1.482061114e+01 3.9e-06 0.18 19 2.3e-03 8.4e-02 1.4e-01 1.01e+00 6.812525431e+00 1.195156905e+01 1.2e-06 0.19 20 1.6e-03 7.2e-02 1.0e-01 9.71e-01 7.920882827e+00 1.163653338e+01 8.7e-07 0.20 21 6.6e-04 6.9e-02 4.2e-02 9.62e-01 9.593528719e+00 1.120368722e+01 3.8e-07 0.21 22 3.7e-04 5.5e-02 2.4e-02 9.68e-01 1.013488217e+01 1.105036262e+01 2.1e-07 0.22 23 1.9e-04 5.7e-02 1.2e-02 9.78e-01 1.048440620e+01 1.095499022e+01 1.1e-07 0.23 24 9.9e-05 5.5e-02 6.5e-03 9.85e-01 1.065694531e+01 1.090903875e+01 5.9e-08 0.23 25 5.1e-05 5.4e-02 3.4e-03 9.87e-01 1.075327954e+01 1.088421153e+01 3.1e-08 0.24 26 4.6e-05 5.0e-02 3.0e-03 9.99e-01 1.076573487e+01 1.088358177e+01 2.8e-08 0.25 27 4.1e-05 4.6e-02 2.7e-03 9.99e-01 1.077469952e+01 1.088077893e+01 2.5e-08 0.26 28 3.7e-05 4.2e-02 2.5e-03 9.99e-01 1.078293196e+01 1.087842008e+01 2.3e-08 0.27 29 3.3e-05 3.9e-02 2.2e-03 9.99e-01 1.079030757e+01 1.087626018e+01 2.0e-08 0.28 30 3.0e-05 3.5e-02 2.0e-03 9.99e-01 1.079692911e+01 1.087429736e+01 1.8e-08 0.28 31 2.7e-05 3.3e-02 1.8e-03 1.00e+00 1.080287122e+01 1.087251151e+01 1.6e-08 0.29 32 2.4e-05 3.0e-02 1.6e-03 1.00e+00 1.080820478e+01 1.087088827e+01 1.5e-08 0.30 33 2.2e-05 2.8e-02 1.5e-03 1.00e+00 1.081299279e+01 1.086941384e+01 1.3e-08 0.30 34 2.0e-05 2.6e-02 1.3e-03 1.00e+00 1.081729169e+01 1.086807548e+01 1.2e-08 0.31 35 1.8e-05 2.4e-02 1.2e-03 1.00e+00 1.082115203e+01 1.086686142e+01 1.1e-08 0.32 36 1.6e-05 2.2e-02 1.1e-03 1.00e+00 1.082461900e+01 1.086576072e+01 9.7e-09 0.33 37 1.4e-05 2.1e-02 9.6e-04 1.00e+00 1.082773307e+01 1.086476331e+01 8.8e-09 0.34 38 1.3e-05 2.0e-02 8.6e-04 1.00e+00 1.083053051e+01 1.086385994e+01 7.9e-09 0.34 39 1.2e-05 1.8e-02 7.8e-04 1.00e+00 1.083304378e+01 1.086304210e+01 7.1e-09 0.35 40 1.0e-05 1.7e-02 7.0e-04 1.00e+00 1.083530198e+01 1.086230199e+01 6.4e-09 0.36 41 9.4e-06 1.6e-02 6.3e-04 1.00e+00 1.083733117e+01 1.086163244e+01 5.7e-09 0.37 42 8.5e-06 1.5e-02 5.7e-04 1.00e+00 1.083915474e+01 1.086102692e+01 5.2e-09 0.37 43 7.6e-06 1.5e-02 5.1e-04 1.00e+00 1.084079364e+01 1.086047948e+01 4.7e-09 0.38 44 6.9e-06 1.4e-02 4.6e-04 1.00e+00 1.084226666e+01 1.085998464e+01 4.2e-09 0.39 45 6.2e-06 1.3e-02 4.1e-04 1.00e+00 1.084359065e+01 1.085953743e+01 3.8e-09 0.40 46 5.5e-06 1.3e-02 3.7e-04 1.00e+00 1.084478073e+01 1.085913334e+01 3.4e-09 0.40 47 5.0e-06 1.2e-02 3.3e-04 1.00e+00 1.084585047e+01 1.085876825e+01 3.1e-09 0.41 48 4.5e-06 1.2e-02 3.0e-04 1.00e+00 1.084681209e+01 1.085843846e+01 2.7e-09 0.42 49 4.0e-06 1.1e-02 2.7e-04 1.00e+00 1.084767659e+01 1.085814061e+01 2.5e-09 0.43 50 3.6e-06 1.1e-02 2.4e-04 1.00e+00 1.084845387e+01 1.085787173e+01 2.2e-09 0.43 51 3.3e-06 1.0e-02 2.2e-04 1.00e+00 1.084915283e+01 1.085762913e+01 2.0e-09 0.44 52 2.9e-06 1.0e-02 2.0e-04 1.00e+00 1.084978146e+01 1.085741031e+01 1.8e-09 0.46 53 2.7e-06 9.8e-03 1.8e-04 1.00e+00 1.085034688e+01 1.085721301e+01 1.6e-09 0.47 54 2.4e-06 9.6e-03 1.6e-04 1.00e+00 1.085085550e+01 1.085703514e+01 1.5e-09 0.48 55 2.1e-06 9.3e-03 1.4e-04 1.00e+00 1.085131305e+01 1.085687485e+01 1.3e-09 0.49 56 1.9e-06 9.1e-03 1.3e-04 1.00e+00 1.085172469e+01 1.085673038e+01 1.2e-09 0.50 57 1.7e-06 8.9e-03 1.2e-04 1.00e+00 1.085209504e+01 1.085660023e+01 1.1e-09 0.51 58 1.6e-06 8.7e-03 1.0e-04 1.00e+00 1.085242825e+01 1.085648300e+01 9.6e-10 0.52 59 1.4e-06 8.6e-03 9.4e-05 1.00e+00 1.085272807e+01 1.085637738e+01 8.6e-10 0.53 60 1.3e-06 8.4e-03 8.5e-05 1.00e+00 1.085299784e+01 1.085628227e+01 7.8e-10 0.53 61 1.1e-06 8.3e-03 7.6e-05 1.00e+00 1.085324056e+01 1.085619661e+01 7.0e-10 0.54 62 1.0e-06 8.2e-03 6.9e-05 1.00e+00 1.085345896e+01 1.085611944e+01 6.3e-10 0.55 63 9.3e-07 8.1e-03 6.2e-05 1.00e+00 1.085365546e+01 1.085604994e+01 5.7e-10 0.56 64 8.3e-07 8.0e-03 5.6e-05 1.00e+00 1.085383226e+01 1.085598731e+01 5.1e-10 0.57 65 7.5e-07 7.9e-03 5.0e-05 1.00e+00 1.085399132e+01 1.085593087e+01 4.6e-10 0.58 66 6.7e-07 7.8e-03 4.5e-05 1.00e+00 1.085413442e+01 1.085588003e+01 4.1e-10 0.59 67 6.1e-07 7.8e-03 4.1e-05 1.00e+00 1.085426315e+01 1.085583423e+01 3.7e-10 0.59 68 5.5e-07 7.7e-03 3.7e-05 1.00e+00 1.085437896e+01 1.085579294e+01 3.3e-10 0.60 69 4.9e-07 7.6e-03 3.3e-05 1.00e+00 1.085448316e+01 1.085575574e+01 3.0e-10 0.61 70 4.4e-07 7.6e-03 3.0e-05 1.00e+00 1.085457689e+01 1.085572225e+01 2.7e-10 0.62 71 4.0e-07 7.5e-03 2.7e-05 1.00e+00 1.085466123e+01 1.085569206e+01 2.4e-10 0.62 72 3.6e-07 7.5e-03 2.4e-05 1.00e+00 1.085473713e+01 1.085566487e+01 2.2e-10 0.63 73 3.2e-07 7.4e-03 2.2e-05 1.00e+00 1.085480542e+01 1.085564039e+01 2.0e-10 0.64 74 2.9e-07 7.4e-03 1.9e-05 1.00e+00 1.085486686e+01 1.085561839e+01 1.8e-10 0.65 75 2.6e-07 7.4e-03 1.7e-05 1.00e+00 1.085492216e+01 1.085559853e+01 1.6e-10 0.65 76 2.4e-07 7.3e-03 1.6e-05 9.99e-01 1.085497192e+01 1.085558068e+01 1.4e-10 0.66 77 2.1e-07 7.3e-03 1.4e-05 9.99e-01 1.085501669e+01 1.085556461e+01 1.3e-10 0.67 78 1.9e-07 7.3e-03 1.3e-05 1.00e+00 1.085505699e+01 1.085555013e+01 1.2e-10 0.68 79 1.7e-07 7.2e-03 1.1e-05 1.00e+00 1.085509326e+01 1.085553709e+01 1.0e-10 0.69 80 1.5e-07 7.2e-03 1.0e-05 1.00e+00 1.085512590e+01 1.085552534e+01 9.4e-11 0.69 81 1.4e-07 7.2e-03 9.3e-06 1.00e+00 1.085515528e+01 1.085551477e+01 8.5e-11 0.70 82 1.3e-07 7.2e-03 8.4e-06 9.99e-01 1.085518171e+01 1.085550527e+01 7.7e-11 0.71 83 1.1e-07 7.2e-03 7.5e-06 9.99e-01 1.085520550e+01 1.085549669e+01 6.9e-11 0.72 84 1.0e-07 7.0e-03 6.8e-06 9.99e-01 1.085522666e+01 1.085548977e+01 6.2e-11 0.73 85 9.2e-08 7.0e-03 6.1e-06 1.00e+00 1.085524595e+01 1.085548275e+01 5.6e-11 0.74 86 8.3e-08 7.0e-03 5.5e-06 1.00e+00 1.085526332e+01 1.085547642e+01 5.0e-11 0.74 87 7.5e-08 7.0e-03 4.9e-06 9.98e-01 1.085527894e+01 1.085547073e+01 4.5e-11 0.75 88 6.8e-08 7.0e-03 4.4e-06 1.00e+00 1.085529291e+01 1.085546591e+01 4.1e-11 0.76 89 6.1e-08 6.9e-03 4.0e-06 9.94e-01 1.085530556e+01 1.085546131e+01 3.7e-11 0.76 90 5.5e-08 6.9e-03 3.6e-06 9.99e-01 1.085531695e+01 1.085545716e+01 3.3e-11 0.77 91 5.0e-08 6.9e-03 3.2e-06 9.95e-01 1.085532720e+01 1.085545341e+01 3.0e-11 0.78 92 4.5e-08 6.9e-03 2.9e-06 9.97e-01 1.085533643e+01 1.085545004e+01 2.7e-11 0.79 93 4.0e-08 6.9e-03 2.6e-06 9.97e-01 1.085534473e+01 1.085544700e+01 2.4e-11 0.80 94 3.6e-08 6.9e-03 2.4e-06 9.95e-01 1.085535221e+01 1.085544427e+01 2.2e-11 0.80 95 3.3e-08 6.2e-03 2.1e-06 1.00e+00 1.085535898e+01 1.085544177e+01 1.9e-11 0.81 96 2.9e-08 5.6e-03 1.9e-06 9.97e-01 1.085536503e+01 1.085543955e+01 1.8e-11 0.82 97 2.6e-08 5.0e-03 1.7e-06 1.00e+00 1.085537050e+01 1.085543753e+01 1.6e-11 0.83 98 2.4e-08 4.5e-03 1.5e-06 9.98e-01 1.085537540e+01 1.085543574e+01 1.4e-11 0.83 99 2.1e-08 4.1e-03 1.4e-06 1.00e+00 1.085537981e+01 1.085543411e+01 1.3e-11 0.84 100 1.9e-08 3.7e-03 1.3e-06 9.89e-01 1.085538377e+01 1.085543267e+01 1.2e-11 0.85 101 1.8e-08 3.3e-03 1.1e-06 1.02e+00 1.085538762e+01 1.085543119e+01 1.0e-11 0.86 102 1.6e-08 3.0e-03 1.0e-06 1.01e+00 1.085539090e+01 1.085542998e+01 9.4e-12 0.87 103 1.4e-08 2.7e-03 9.2e-07 9.76e-01 1.085539375e+01 1.085542898e+01 8.5e-12 0.88 104 1.3e-08 2.4e-03 8.2e-07 1.03e+00 1.085539661e+01 1.085542790e+01 7.7e-12 0.89 105 1.2e-08 2.2e-03 7.4e-07 1.02e+00 1.085539905e+01 1.085542700e+01 7.0e-12 0.89 106 1.1e-08 1.9e-03 6.7e-07 9.79e-01 1.085540110e+01 1.085542624e+01 6.3e-12 0.90 107 9.8e-09 1.8e-03 6.0e-07 9.94e-01 1.085540295e+01 1.085542551e+01 5.7e-12 0.91 108 9.0e-09 1.6e-03 5.4e-07 9.93e-01 1.085540460e+01 1.085542492e+01 5.1e-12 0.91 109 8.3e-09 1.4e-03 4.9e-07 1.06e+00 1.085540651e+01 1.085542412e+01 4.7e-12 0.92 110 5.6e-09 7.8e-05 2.7e-08 9.75e-01 1.085541884e+01 1.085541983e+01 3.2e-13 0.93 Optimizer terminated. Time: 0.93 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0855418842e+01 nrm: 1e+01 Viol. con: 1e-07 var: 0e+00 Dual. obj: 1.0855419834e+01 nrm: 1e+03 Viol. con: 0e+00 var: 6e-04 * End solution on dual form. * Transforming to primal solution. Solving took 0.954 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.2e+05 0.00e+00 -1.249408051e+05 2.000000000e+00 1.0e+00 0.03 1 1.7e+03 2.4e+03 9.3e+04 -9.71e-01 -1.242547033e+05 2.597213752e+00 7.4e-01 0.04 2 8.6e+02 1.2e+03 4.7e+04 -9.60e-01 -1.217793485e+05 4.704574347e+00 3.8e-01 0.05 3 2.9e+02 4.0e+02 1.6e+04 -9.20e-01 -1.126954851e+05 2.025488480e+01 1.3e-01 0.05 4 2.9e+02 4.0e+02 1.6e+04 -7.71e-01 -1.103739762e+05 2.060303326e+03 1.3e-01 0.06 5 1.2e+02 1.7e+02 6.6e+03 -7.61e-01 -8.925043785e+04 6.250563424e+03 5.3e-02 0.07 6 2.8e+01 4.0e+01 1.5e+03 -4.55e-01 -3.593326585e+04 1.279617451e+04 1.3e-02 0.08 7 1.9e+01 2.6e+01 1.0e+03 4.52e-01 -2.646524120e+04 7.835203812e+03 8.3e-03 0.08 8 9.8e+00 1.4e+01 5.4e+02 6.33e-01 -1.511722024e+04 4.272843468e+03 4.4e-03 0.09 9 3.5e+00 4.8e+00 1.9e+02 8.21e-01 -5.480075848e+03 1.711185061e+03 1.6e-03 0.10 10 1.8e+00 2.5e+00 1.0e+02 9.60e-01 -2.784838821e+03 1.016411222e+03 8.2e-04 0.11 11 7.6e-01 1.1e+00 4.2e+01 9.91e-01 -1.166957621e+03 4.510282173e+02 3.5e-04 0.11 12 7.4e-01 1.1e+00 4.1e+01 9.52e-01 -1.153437246e+03 4.317269520e+02 3.4e-04 0.12 13 4.2e-01 6.0e-01 2.3e+01 9.78e-01 -6.500781872e+02 2.490840147e+02 1.9e-04 0.13 14 2.6e-01 3.8e-01 1.4e+01 1.01e+00 -3.864518809e+02 1.685409662e+02 1.2e-04 0.13 15 5.9e-02 1.6e-01 3.4e+00 1.00e+00 -9.208705555e+01 4.038475405e+01 2.9e-05 0.14 16 4.5e-02 1.3e-01 2.6e+00 1.02e+00 -6.647785357e+01 3.338544695e+01 2.2e-05 0.15 17 2.6e-02 9.2e-02 1.5e+00 1.02e+00 -3.545196445e+01 2.201262759e+01 1.3e-05 0.16 18 2.2e-02 8.0e-02 1.3e+00 1.03e+00 -2.913281580e+01 2.088220110e+01 1.1e-05 0.16 19 6.9e-03 6.7e-02 4.1e-01 1.03e+00 -9.278696336e-01 1.421571208e+01 3.4e-06 0.17 20 2.2e-03 8.5e-02 1.3e-01 1.02e+00 7.004687722e+00 1.194095066e+01 1.2e-06 0.18 21 1.5e-03 6.9e-02 9.2e-02 9.67e-01 8.153175099e+00 1.156000774e+01 8.1e-07 0.18 22 6.4e-04 6.8e-02 4.1e-02 9.58e-01 9.604351540e+00 1.115184812e+01 3.7e-07 0.19 23 3.2e-04 5.7e-02 2.1e-02 9.67e-01 1.018253214e+01 1.098056311e+01 1.9e-07 0.20 24 1.9e-04 5.1e-02 1.2e-02 9.79e-01 1.043797893e+01 1.091001070e+01 1.1e-07 0.21 25 1.7e-04 4.7e-02 1.1e-02 9.87e-01 1.047492626e+01 1.089950490e+01 1.0e-07 0.21 26 1.5e-04 4.3e-02 1.0e-02 9.83e-01 1.050612753e+01 1.088851452e+01 9.1e-08 0.22 27 1.4e-04 3.9e-02 9.0e-03 9.85e-01 1.053724673e+01 1.088177155e+01 8.2e-08 0.23 28 1.2e-04 3.6e-02 8.1e-03 9.87e-01 1.056490555e+01 1.087523911e+01 7.4e-08 0.23 29 1.1e-04 3.3e-02 7.3e-03 9.88e-01 1.058982183e+01 1.086935036e+01 6.6e-08 0.24 30 9.9e-05 3.1e-02 6.5e-03 9.89e-01 1.061219967e+01 1.086396890e+01 6.0e-08 0.25 31 8.9e-05 2.8e-02 5.9e-03 9.90e-01 1.063227221e+01 1.085902302e+01 5.4e-08 0.26 32 8.0e-05 2.6e-02 5.3e-03 9.91e-01 1.065028303e+01 1.085448903e+01 4.8e-08 0.26 33 7.2e-05 2.4e-02 4.8e-03 9.92e-01 1.066644628e+01 1.085033888e+01 4.3e-08 0.27 34 6.5e-05 2.3e-02 4.3e-03 9.93e-01 1.068095004e+01 1.084654144e+01 3.9e-08 0.28 35 5.9e-05 2.1e-02 3.9e-03 9.94e-01 1.069396331e+01 1.084306779e+01 3.5e-08 0.28 36 5.3e-05 2.0e-02 3.5e-03 9.94e-01 1.070563848e+01 1.083989167e+01 3.2e-08 0.29 37 4.8e-05 1.9e-02 3.1e-03 9.95e-01 1.071611301e+01 1.083698933e+01 2.9e-08 0.30 38 4.3e-05 1.7e-02 2.8e-03 9.96e-01 1.072551073e+01 1.083433910e+01 2.6e-08 0.31 39 3.8e-05 1.6e-02 2.5e-03 9.96e-01 1.073394299e+01 1.083192104e+01 2.3e-08 0.31 40 3.5e-05 1.6e-02 2.3e-03 9.97e-01 1.074150975e+01 1.082971663e+01 2.1e-08 0.32 41 3.1e-05 1.5e-02 2.1e-03 9.97e-01 1.074830059e+01 1.082770861e+01 1.9e-08 0.33 42 2.8e-05 1.4e-02 1.9e-03 9.97e-01 1.075439576e+01 1.082588088e+01 1.7e-08 0.33 43 2.5e-05 1.3e-02 1.7e-03 9.98e-01 1.075986714e+01 1.082421842e+01 1.5e-08 0.34 44 2.3e-05 1.3e-02 1.5e-03 9.98e-01 1.076477910e+01 1.082270728e+01 1.4e-08 0.35 45 2.0e-05 1.2e-02 1.3e-03 9.98e-01 1.076918931e+01 1.082133453e+01 1.2e-08 0.36 46 1.8e-05 1.2e-02 1.2e-03 9.98e-01 1.077314941e+01 1.082008821e+01 1.1e-08 0.36 47 1.7e-05 1.1e-02 1.1e-03 9.99e-01 1.077670569e+01 1.081895725e+01 1.0e-08 0.37 48 1.5e-05 1.1e-02 9.8e-04 9.99e-01 1.077989962e+01 1.081793148e+01 9.0e-09 0.38 49 1.3e-05 1.1e-02 8.9e-04 9.99e-01 1.078276838e+01 1.081700152e+01 8.1e-09 0.39 50 1.2e-05 1.0e-02 8.0e-04 9.99e-01 1.078534526e+01 1.081615877e+01 7.3e-09 0.40 51 1.1e-05 1.0e-02 7.2e-04 9.99e-01 1.078766015e+01 1.081539533e+01 6.6e-09 0.41 52 9.8e-06 9.9e-03 6.5e-04 9.99e-01 1.078973983e+01 1.081470397e+01 5.9e-09 0.41 53 8.8e-06 9.6e-03 5.8e-04 9.99e-01 1.079160831e+01 1.081407808e+01 5.3e-09 0.42 54 7.9e-06 9.4e-03 5.2e-04 1.00e+00 1.079328713e+01 1.081351160e+01 4.8e-09 0.43 55 7.1e-06 9.3e-03 4.7e-04 1.00e+00 1.079479560e+01 1.081299901e+01 4.3e-09 0.44 56 6.4e-06 9.1e-03 4.2e-04 1.00e+00 1.079615106e+01 1.081253528e+01 3.9e-09 0.45 57 5.8e-06 8.9e-03 3.8e-04 1.00e+00 1.079736906e+01 1.081211580e+01 3.5e-09 0.46 58 5.2e-06 8.8e-03 3.4e-04 1.00e+00 1.079846356e+01 1.081173641e+01 3.1e-09 0.47 59 4.7e-06 8.7e-03 3.1e-04 1.00e+00 1.079944712e+01 1.081139334e+01 2.8e-09 0.48 60 4.2e-06 8.6e-03 2.8e-04 1.00e+00 1.080033106e+01 1.081108319e+01 2.5e-09 0.49 61 3.8e-06 8.5e-03 2.5e-04 1.00e+00 1.080112556e+01 1.081080292e+01 2.3e-09 0.49 62 3.4e-06 8.4e-03 2.3e-04 1.00e+00 1.080183979e+01 1.081054977e+01 2.1e-09 0.50 63 3.1e-06 8.3e-03 2.0e-04 1.00e+00 1.080248193e+01 1.081032122e+01 1.9e-09 0.51 64 2.8e-06 8.2e-03 1.8e-04 1.00e+00 1.080305932e+01 1.081011494e+01 1.7e-09 0.52 65 2.5e-06 8.1e-03 1.6e-04 1.00e+00 1.080357853e+01 1.080992879e+01 1.5e-09 0.53 66 2.2e-06 8.0e-03 1.5e-04 1.00e+00 1.080404545e+01 1.080976087e+01 1.4e-09 0.53 67 2.0e-06 8.0e-03 1.3e-04 1.00e+00 1.080446539e+01 1.080960942e+01 1.2e-09 0.54 68 1.8e-06 7.9e-03 1.2e-04 1.00e+00 1.080484308e+01 1.080947282e+01 1.1e-09 0.55 69 1.6e-06 7.8e-03 1.1e-04 1.00e+00 1.080518279e+01 1.080934967e+01 9.8e-10 0.56 70 1.5e-06 7.8e-03 9.7e-05 1.00e+00 1.080548835e+01 1.080923863e+01 8.9e-10 0.56 71 1.3e-06 7.7e-03 8.7e-05 1.00e+00 1.080576321e+01 1.080913853e+01 8.0e-10 0.57 72 1.2e-06 7.7e-03 7.9e-05 1.00e+00 1.080601045e+01 1.080904830e+01 7.2e-10 0.58 73 1.1e-06 7.6e-03 7.1e-05 1.00e+00 1.080623284e+01 1.080896696e+01 6.5e-10 0.59 74 9.6e-07 7.6e-03 6.4e-05 1.00e+00 1.080643289e+01 1.080889364e+01 5.8e-10 0.60 75 8.7e-07 7.6e-03 5.7e-05 1.00e+00 1.080661284e+01 1.080882754e+01 5.2e-10 0.61 76 7.8e-07 7.5e-03 5.2e-05 1.00e+00 1.080677469e+01 1.080876795e+01 4.7e-10 0.61 77 7.0e-07 7.5e-03 4.6e-05 1.00e+00 1.080692027e+01 1.080871424e+01 4.2e-10 0.62 78 6.3e-07 7.5e-03 4.2e-05 1.00e+00 1.080705123e+01 1.080866581e+01 3.8e-10 0.63 79 5.7e-07 7.4e-03 3.8e-05 1.00e+00 1.080716902e+01 1.080862216e+01 3.4e-10 0.64 80 5.1e-07 7.4e-03 3.4e-05 1.00e+00 1.080727499e+01 1.080858282e+01 3.1e-10 0.64 81 4.6e-07 7.4e-03 3.0e-05 1.00e+00 1.080737032e+01 1.080854738e+01 2.8e-10 0.65 82 4.1e-07 7.3e-03 2.7e-05 1.00e+00 1.080745609e+01 1.080851545e+01 2.5e-10 0.66 83 3.7e-07 7.3e-03 2.5e-05 1.00e+00 1.080753327e+01 1.080848670e+01 2.3e-10 0.67 84 3.4e-07 7.3e-03 2.2e-05 1.00e+00 1.080760271e+01 1.080846082e+01 2.0e-10 0.67 85 3.0e-07 7.3e-03 2.0e-05 1.00e+00 1.080766521e+01 1.080843751e+01 1.8e-10 0.68 86 2.7e-07 7.3e-03 1.8e-05 1.00e+00 1.080772146e+01 1.080841652e+01 1.6e-10 0.69 87 2.4e-07 7.2e-03 1.6e-05 1.00e+00 1.080777207e+01 1.080839764e+01 1.5e-10 0.70 88 2.2e-07 7.2e-03 1.5e-05 1.00e+00 1.080781763e+01 1.080838064e+01 1.3e-10 0.70 89 2.0e-07 7.2e-03 1.3e-05 1.00e+00 1.080785864e+01 1.080836533e+01 1.2e-10 0.71 90 1.8e-07 7.2e-03 1.2e-05 1.00e+00 1.080789555e+01 1.080835157e+01 1.1e-10 0.72 91 1.6e-07 7.2e-03 1.1e-05 1.00e+00 1.080792876e+01 1.080833919e+01 9.7e-11 0.73 92 1.4e-07 7.2e-03 9.6e-06 1.00e+00 1.080795866e+01 1.080832805e+01 8.7e-11 0.73 93 1.3e-07 7.1e-03 8.6e-06 1.00e+00 1.080798557e+01 1.080831802e+01 7.9e-11 0.74 94 1.2e-07 7.1e-03 7.7e-06 1.00e+00 1.080800980e+01 1.080830900e+01 7.1e-11 0.75 95 1.1e-07 7.1e-03 7.0e-06 1.00e+00 1.080803160e+01 1.080830087e+01 6.4e-11 0.76 96 9.5e-08 7.1e-03 6.3e-06 1.00e+00 1.080805123e+01 1.080829355e+01 5.7e-11 0.76 97 8.5e-08 7.1e-03 5.6e-06 9.99e-01 1.080806889e+01 1.080828699e+01 5.2e-11 0.77 98 7.7e-08 7.1e-03 5.1e-06 1.00e+00 1.080808479e+01 1.080828107e+01 4.6e-11 0.78 99 6.9e-08 7.1e-03 4.6e-06 9.99e-01 1.080809910e+01 1.080827576e+01 4.2e-11 0.79 100 6.2e-08 7.1e-03 4.1e-06 1.00e+00 1.080811198e+01 1.080827100e+01 3.8e-11 0.80 101 5.6e-08 7.0e-03 3.7e-06 1.00e+00 1.080812357e+01 1.080826671e+01 3.4e-11 0.80 102 5.0e-08 7.0e-03 3.3e-06 1.00e+00 1.080813400e+01 1.080826283e+01 3.0e-11 0.81 103 4.5e-08 7.0e-03 3.0e-06 1.00e+00 1.080814339e+01 1.080825934e+01 2.7e-11 0.82 104 4.1e-08 7.0e-03 2.7e-06 1.00e+00 1.080815184e+01 1.080825620e+01 2.5e-11 0.83 105 3.7e-08 7.0e-03 2.4e-06 9.97e-01 1.080815944e+01 1.080825338e+01 2.2e-11 0.83 106 3.3e-08 6.3e-03 2.2e-06 1.00e+00 1.080816633e+01 1.080825081e+01 2.0e-11 0.84 107 3.0e-08 5.7e-03 2.0e-06 9.99e-01 1.080817249e+01 1.080824853e+01 1.8e-11 0.85 108 2.7e-08 5.1e-03 1.8e-06 9.97e-01 1.080817803e+01 1.080824646e+01 1.6e-11 0.86 109 2.4e-08 4.6e-03 1.6e-06 1.00e+00 1.080818301e+01 1.080824462e+01 1.5e-11 0.86 110 2.2e-08 4.1e-03 1.4e-06 1.01e+00 1.080818760e+01 1.080824290e+01 1.3e-11 0.87 111 2.0e-08 3.7e-03 1.3e-06 1.01e+00 1.080819173e+01 1.080824138e+01 1.2e-11 0.88 112 1.8e-08 3.4e-03 1.2e-06 9.99e-01 1.080819535e+01 1.080824003e+01 1.1e-11 0.89 113 1.6e-08 3.0e-03 1.0e-06 1.01e+00 1.080819868e+01 1.080823879e+01 9.6e-12 0.90 114 1.4e-08 2.7e-03 9.4e-07 9.96e-01 1.080820160e+01 1.080823771e+01 8.7e-12 0.90 115 1.3e-08 2.4e-03 8.5e-07 1.00e+00 1.080820423e+01 1.080823673e+01 7.8e-12 0.91 116 1.2e-08 2.2e-03 7.6e-07 9.92e-01 1.080820660e+01 1.080823586e+01 7.0e-12 0.92 117 1.0e-08 2.0e-03 6.9e-07 1.01e+00 1.080820878e+01 1.080823502e+01 6.3e-12 0.93 118 9.4e-09 1.8e-03 6.2e-07 1.01e+00 1.080821081e+01 1.080823426e+01 5.7e-12 0.93 119 8.5e-09 1.6e-03 5.6e-07 9.91e-01 1.080821252e+01 1.080823363e+01 5.2e-12 0.94 120 7.6e-09 1.4e-03 5.0e-07 1.01e+00 1.080821410e+01 1.080823304e+01 4.7e-12 0.95 121 6.9e-09 1.3e-03 4.5e-07 1.00e+00 1.080821550e+01 1.080823251e+01 4.2e-12 0.96 122 2.0e-08 1.3e-03 4.4e-07 9.90e-01 1.080821556e+01 1.080823270e+01 4.2e-12 0.96 123 1.9e-08 1.2e-03 4.0e-07 1.01e+00 1.080821687e+01 1.080823208e+01 3.8e-12 0.97 124 1.7e-08 1.0e-03 3.6e-07 9.98e-01 1.080821798e+01 1.080823165e+01 3.4e-12 0.98 125 1.5e-08 9.4e-04 3.2e-07 9.97e-01 1.080821897e+01 1.080823127e+01 3.0e-12 0.99 126 1.4e-08 8.4e-04 2.9e-07 1.00e+00 1.080821988e+01 1.080823093e+01 2.7e-12 0.99 127 1.2e-08 7.6e-04 2.6e-07 9.72e-01 1.080822067e+01 1.080823067e+01 2.5e-12 1.00 128 1.1e-08 6.8e-04 2.4e-07 1.02e+00 1.080822145e+01 1.080823037e+01 2.2e-12 1.01 129 1.0e-08 6.1e-04 2.1e-07 1.04e+00 1.080822221e+01 1.080823007e+01 2.1e-12 1.02 130 9.2e-09 5.5e-04 1.9e-07 1.01e+00 1.080822280e+01 1.080822983e+01 1.9e-12 1.02 131 8.4e-09 5.0e-04 1.7e-07 1.00e+00 1.080822332e+01 1.080822963e+01 1.7e-12 1.03 132 7.4e-09 4.5e-04 1.6e-07 1.01e+00 1.080822379e+01 1.080822945e+01 1.5e-12 1.04 133 6.6e-09 4.0e-04 1.4e-07 1.00e+00 1.080822420e+01 1.080822929e+01 1.4e-12 1.05 134 5.9e-09 3.6e-04 1.3e-07 9.93e-01 1.080822457e+01 1.080822916e+01 1.2e-12 1.05 135 5.3e-09 3.3e-04 1.1e-07 1.01e+00 1.080822492e+01 1.080822902e+01 1.1e-12 1.06 136 4.8e-09 2.9e-04 1.0e-07 1.01e+00 1.080822525e+01 1.080822887e+01 1.0e-12 1.07 Optimizer terminated. Time: 1.07 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0808225249e+01 nrm: 1e+01 Viol. con: 1e-07 var: 0e+00 Dual. obj: 1.0808228870e+01 nrm: 1e+03 Viol. con: 0e+00 var: 2e-03 * End solution on dual form. * Transforming to primal solution. Solving took 1.1 seconds. Using solver 'mosek' Solving for 1775 variables. MOSEK warning 710: #1 (nearly) zero elements are specified in sparse col '' (450) of matrix 'A'. Number of Hessian non-zeros: 2084 * Solving exponential optimization problem on dual form. * * The following log information refers to the solution of the dual problem. * Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer started. 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.2e+05 0.00e+00 -1.249400409e+05 2.000000000e+00 1.0e+00 0.03 1 1.7e+03 2.4e+03 9.3e+04 -9.71e-01 -1.242538434e+05 2.596553752e+00 7.4e-01 0.04 2 8.6e+02 1.2e+03 4.7e+04 -9.60e-01 -1.217838282e+05 4.697221573e+00 3.8e-01 0.05 3 2.9e+02 4.0e+02 1.6e+04 -9.20e-01 -1.126755516e+05 2.024351662e+01 1.3e-01 0.05 4 2.9e+02 4.0e+02 1.6e+04 -7.71e-01 -1.103630516e+05 2.053270461e+03 1.3e-01 0.06 5 1.2e+02 1.7e+02 6.5e+03 -7.61e-01 -8.913947258e+04 6.266421989e+03 5.3e-02 0.07 6 2.7e+01 3.7e+01 1.5e+03 -4.54e-01 -3.398270831e+04 1.299455141e+04 1.2e-02 0.07 7 1.8e+01 2.5e+01 9.8e+02 4.89e-01 -2.534802030e+04 7.756002454e+03 7.9e-03 0.08 8 9.9e+00 1.4e+01 5.4e+02 6.53e-01 -1.515673199e+04 4.382174462e+03 4.4e-03 0.09 9 3.6e+00 5.1e+00 2.0e+02 8.20e-01 -5.791945848e+03 1.792741658e+03 1.6e-03 0.10 10 1.9e+00 2.6e+00 1.0e+02 9.56e-01 -2.900501696e+03 1.037166205e+03 8.4e-04 0.10 11 8.0e-01 1.1e+00 4.4e+01 9.90e-01 -1.227840791e+03 4.658597107e+02 3.6e-04 0.11 12 7.6e-01 1.1e+00 4.3e+01 9.65e-01 -1.198022150e+03 4.420257677e+02 3.5e-04 0.12 13 4.4e-01 6.2e-01 2.5e+01 9.76e-01 -6.967452667e+02 2.580543650e+02 2.0e-04 0.12 14 3.0e-01 4.3e-01 1.7e+01 1.01e+00 -4.561541512e+02 1.969919116e+02 1.4e-04 0.13 15 9.4e-02 1.7e-01 5.4e+00 9.99e-01 -1.441893689e+02 6.302146237e+01 4.5e-05 0.14 16 5.0e-02 1.1e-01 2.9e+00 1.01e+00 -7.633327601e+01 3.519074855e+01 2.4e-05 0.14 17 4.7e-02 1.0e-01 2.7e+00 1.02e+00 -7.128734696e+01 3.355415560e+01 2.3e-05 0.15 18 3.2e-02 7.6e-02 1.8e+00 1.02e+00 -4.465424904e+01 2.504159066e+01 1.5e-05 0.16 19 3.0e-02 7.2e-02 1.7e+00 1.03e+00 -4.195465593e+01 2.458524645e+01 1.5e-05 0.17 20 1.4e-02 6.0e-02 8.1e-01 1.03e+00 -1.280847879e+01 1.762604455e+01 6.8e-06 0.17 21 3.6e-03 8.4e-02 2.1e-01 1.02e+00 4.681663516e+00 1.262214108e+01 1.8e-06 0.18 22 1.3e-03 6.9e-02 8.4e-02 1.00e+00 8.150870285e+00 1.126482539e+01 7.3e-07 0.19 23 1.1e-03 6.1e-02 6.8e-02 9.47e-01 8.653308390e+00 1.119047819e+01 6.0e-07 0.19 24 3.6e-04 8.1e-02 2.4e-02 9.49e-01 1.002587985e+01 1.093314270e+01 2.2e-07 0.20 25 1.6e-04 8.1e-02 1.1e-02 9.67e-01 1.042753354e+01 1.085574896e+01 1.0e-07 0.21 26 1.4e-04 7.7e-02 9.5e-03 9.82e-01 1.047736757e+01 1.084469141e+01 8.9e-08 0.21 27 1.1e-04 6.4e-02 7.6e-03 9.51e-01 1.053872934e+01 1.083023208e+01 7.0e-08 0.22 28 5.6e-05 5.4e-02 3.9e-03 9.51e-01 1.065658165e+01 1.080768913e+01 3.6e-08 0.23 29 5.1e-05 4.8e-02 3.5e-03 9.95e-01 1.067121554e+01 1.080743938e+01 3.3e-08 0.23 30 4.6e-05 4.5e-02 3.2e-03 9.98e-01 1.068224824e+01 1.080485329e+01 3.0e-08 0.24 31 4.1e-05 4.1e-02 2.8e-03 9.98e-01 1.069207329e+01 1.080244161e+01 2.7e-08 0.25 32 3.7e-05 3.8e-02 2.6e-03 9.98e-01 1.070088060e+01 1.080023606e+01 2.4e-08 0.26 33 3.3e-05 3.5e-02 2.3e-03 9.98e-01 1.070878861e+01 1.079822784e+01 2.2e-08 0.26 34 3.0e-05 3.2e-02 2.1e-03 9.99e-01 1.071588588e+01 1.079639677e+01 1.9e-08 0.27 35 2.7e-05 3.0e-02 1.9e-03 9.99e-01 1.072225631e+01 1.079472867e+01 1.7e-08 0.28 36 2.4e-05 2.7e-02 1.7e-03 9.99e-01 1.072797479e+01 1.079321006e+01 1.6e-08 0.28 37 2.2e-05 2.5e-02 1.5e-03 9.99e-01 1.073310856e+01 1.079182852e+01 1.4e-08 0.29 38 2.0e-05 2.4e-02 1.4e-03 1.00e+00 1.073771787e+01 1.079057249e+01 1.3e-08 0.30 39 1.8e-05 2.2e-02 1.2e-03 1.00e+00 1.074185672e+01 1.078943127e+01 1.1e-08 0.30 40 1.6e-05 2.1e-02 1.1e-03 1.00e+00 1.074557346e+01 1.078839495e+01 1.0e-08 0.31 41 1.4e-05 1.9e-02 9.9e-04 1.00e+00 1.074891149e+01 1.078745439e+01 9.3e-09 0.32 42 1.3e-05 1.8e-02 8.9e-04 1.00e+00 1.075190967e+01 1.078660117e+01 8.4e-09 0.33 43 1.2e-05 1.7e-02 8.0e-04 1.00e+00 1.075460284e+01 1.078582755e+01 7.5e-09 0.33 44 1.0e-05 1.6e-02 7.2e-04 1.00e+00 1.075702225e+01 1.078512642e+01 6.8e-09 0.34 45 9.4e-06 1.5e-02 6.5e-04 1.00e+00 1.075919591e+01 1.078449123e+01 6.1e-09 0.35 46 8.5e-06 1.4e-02 5.9e-04 1.00e+00 1.076114893e+01 1.078391601e+01 5.5e-09 0.35 47 7.6e-06 1.4e-02 5.3e-04 1.00e+00 1.076290385e+01 1.078339527e+01 4.9e-09 0.36 48 6.8e-06 1.3e-02 4.8e-04 1.00e+00 1.076448085e+01 1.078292400e+01 4.4e-09 0.37 49 6.2e-06 1.3e-02 4.3e-04 1.00e+00 1.076589806e+01 1.078249760e+01 4.0e-09 0.37 50 5.5e-06 1.2e-02 3.8e-04 1.00e+00 1.076717171e+01 1.078211188e+01 3.6e-09 0.38 51 5.0e-06 1.2e-02 3.5e-04 1.00e+00 1.076831639e+01 1.078176303e+01 3.2e-09 0.39 52 4.5e-06 1.1e-02 3.1e-04 1.00e+00 1.076934519e+01 1.078144756e+01 2.9e-09 0.40 53 4.0e-06 1.1e-02 2.8e-04 1.00e+00 1.077026991e+01 1.078116237e+01 2.6e-09 0.40 54 3.6e-06 1.0e-02 2.5e-04 1.00e+00 1.077110116e+01 1.078090465e+01 2.4e-09 0.41 55 3.3e-06 1.0e-02 2.3e-04 1.00e+00 1.077184849e+01 1.078067186e+01 2.1e-09 0.42 56 2.9e-06 9.8e-03 2.0e-04 1.00e+00 1.077252046e+01 1.078046169e+01 1.9e-09 0.42 57 2.7e-06 9.6e-03 1.8e-04 1.00e+00 1.077312475e+01 1.078027202e+01 1.7e-09 0.43 58 2.4e-06 9.4e-03 1.7e-04 1.00e+00 1.077366820e+01 1.078010088e+01 1.6e-09 0.44 59 2.1e-06 9.1e-03 1.5e-04 1.00e+00 1.077415697e+01 1.077994650e+01 1.4e-09 0.44 60 1.9e-06 9.0e-03 1.3e-04 1.00e+00 1.077459659e+01 1.077980726e+01 1.3e-09 0.45 61 1.7e-06 8.8e-03 1.2e-04 1.00e+00 1.077499202e+01 1.077968169e+01 1.1e-09 0.46 62 1.6e-06 8.6e-03 1.1e-04 1.00e+00 1.077534770e+01 1.077956848e+01 1.0e-09 0.47 63 1.4e-06 8.5e-03 9.8e-05 1.00e+00 1.077566766e+01 1.077946641e+01 9.2e-10 0.47 64 1.3e-06 8.4e-03 8.8e-05 1.00e+00 1.077595547e+01 1.077937440e+01 8.2e-10 0.48 65 1.1e-06 8.3e-03 7.9e-05 1.00e+00 1.077621438e+01 1.077929146e+01 7.4e-10 0.49 66 1.0e-06 8.2e-03 7.1e-05 1.00e+00 1.077644729e+01 1.077921669e+01 6.7e-10 0.49 67 9.2e-07 8.1e-03 6.4e-05 1.00e+00 1.077665680e+01 1.077914929e+01 6.0e-10 0.50 68 8.3e-07 8.0e-03 5.8e-05 1.00e+00 1.077684526e+01 1.077908853e+01 5.4e-10 0.51 69 7.5e-07 7.9e-03 5.2e-05 1.00e+00 1.077701479e+01 1.077903376e+01 4.9e-10 0.52 70 6.7e-07 7.8e-03 4.7e-05 1.00e+00 1.077716728e+01 1.077898438e+01 4.4e-10 0.52 71 6.1e-07 7.7e-03 4.2e-05 1.00e+00 1.077730445e+01 1.077893985e+01 3.9e-10 0.53 72 5.5e-07 7.7e-03 3.8e-05 1.00e+00 1.077742783e+01 1.077889971e+01 3.5e-10 0.54 73 4.9e-07 7.6e-03 3.4e-05 1.00e+00 1.077753883e+01 1.077886352e+01 3.2e-10 0.54 74 4.4e-07 7.6e-03 3.1e-05 1.00e+00 1.077763867e+01 1.077883091e+01 2.9e-10 0.55 75 4.0e-07 7.5e-03 2.8e-05 1.00e+00 1.077772850e+01 1.077880153e+01 2.6e-10 0.56 76 3.6e-07 7.5e-03 2.5e-05 1.00e+00 1.077780933e+01 1.077877505e+01 2.3e-10 0.57 77 3.2e-07 7.4e-03 2.2e-05 1.00e+00 1.077788205e+01 1.077875121e+01 2.1e-10 0.57 78 2.9e-07 7.4e-03 2.0e-05 1.00e+00 1.077794748e+01 1.077872974e+01 1.9e-10 0.58 79 2.6e-07 7.4e-03 1.8e-05 1.00e+00 1.077800637e+01 1.077871040e+01 1.7e-10 0.59 80 2.4e-07 7.3e-03 1.6e-05 1.00e+00 1.077805935e+01 1.077869300e+01 1.5e-10 0.59 81 2.1e-07 7.3e-03 1.5e-05 1.00e+00 1.077810704e+01 1.077867732e+01 1.4e-10 0.60 82 1.9e-07 7.3e-03 1.3e-05 1.00e+00 1.077814995e+01 1.077866320e+01 1.2e-10 0.61 83 1.7e-07 7.3e-03 1.2e-05 1.00e+00 1.077818856e+01 1.077865049e+01 1.1e-10 0.61 84 1.5e-07 7.2e-03 1.1e-05 1.00e+00 1.077822331e+01 1.077863906e+01 1.0e-10 0.62 85 1.4e-07 7.2e-03 9.6e-06 1.00e+00 1.077825459e+01 1.077862875e+01 9.0e-11 0.63 86 1.2e-07 7.2e-03 8.7e-06 1.00e+00 1.077828273e+01 1.077861948e+01 8.1e-11 0.64 87 1.1e-07 7.2e-03 7.8e-06 9.99e-01 1.077830805e+01 1.077861115e+01 7.3e-11 0.64 88 1.0e-07 7.1e-03 7.0e-06 1.00e+00 1.077833085e+01 1.077860363e+01 6.6e-11 0.65 89 9.1e-08 7.1e-03 6.3e-06 1.00e+00 1.077835135e+01 1.077859689e+01 5.9e-11 0.66 90 8.2e-08 7.1e-03 5.7e-06 9.99e-01 1.077836982e+01 1.077859079e+01 5.3e-11 0.66 91 7.4e-08 7.1e-03 5.1e-06 1.00e+00 1.077838643e+01 1.077858530e+01 4.8e-11 0.67 92 6.6e-08 7.1e-03 4.6e-06 9.98e-01 1.077840137e+01 1.077858039e+01 4.3e-11 0.68 93 6.0e-08 7.1e-03 4.2e-06 1.00e+00 1.077841483e+01 1.077857594e+01 3.9e-11 0.68 94 5.4e-08 7.1e-03 3.7e-06 9.99e-01 1.077842695e+01 1.077857191e+01 3.5e-11 0.69 95 4.8e-08 7.0e-03 3.4e-06 9.96e-01 1.077843783e+01 1.077856835e+01 3.1e-11 0.70 96 4.4e-08 7.0e-03 3.0e-06 9.98e-01 1.077844763e+01 1.077856512e+01 2.8e-11 0.71 97 3.9e-08 7.0e-03 2.7e-06 1.00e+00 1.077845646e+01 1.077856219e+01 2.5e-11 0.71 98 3.5e-08 7.0e-03 2.5e-06 1.00e+00 1.077846440e+01 1.077855955e+01 2.3e-11 0.72 99 3.2e-08 6.3e-03 2.2e-06 1.00e+00 1.077847161e+01 1.077855716e+01 2.1e-11 0.73 100 2.9e-08 5.7e-03 2.0e-06 9.99e-01 1.077847800e+01 1.077855515e+01 1.9e-11 0.73 101 2.6e-08 5.1e-03 1.8e-06 1.00e+00 1.077848379e+01 1.077855322e+01 1.7e-11 0.74 102 2.3e-08 4.6e-03 1.6e-06 9.99e-01 1.077848899e+01 1.077855148e+01 1.5e-11 0.75 103 2.1e-08 4.1e-03 1.4e-06 1.00e+00 1.077849368e+01 1.077854992e+01 1.4e-11 0.76 104 1.9e-08 3.7e-03 1.3e-06 9.96e-01 1.077849790e+01 1.077854852e+01 1.2e-11 0.76 105 1.7e-08 3.4e-03 1.2e-06 1.00e+00 1.077850171e+01 1.077854724e+01 1.1e-11 0.77 106 1.5e-08 3.0e-03 1.1e-06 1.01e+00 1.077850530e+01 1.077854603e+01 9.9e-12 0.78 107 1.4e-08 2.7e-03 9.5e-07 1.00e+00 1.077850838e+01 1.077854499e+01 9.0e-12 0.78 108 1.2e-08 2.4e-03 8.5e-07 1.01e+00 1.077851123e+01 1.077854403e+01 8.1e-12 0.79 109 1.1e-08 2.2e-03 7.7e-07 9.95e-01 1.077851370e+01 1.077854321e+01 7.3e-12 0.80 110 1.0e-08 2.0e-03 6.9e-07 1.01e+00 1.077851603e+01 1.077854242e+01 6.6e-12 0.81 111 9.0e-09 1.8e-03 6.2e-07 1.01e+00 1.077851812e+01 1.077854172e+01 6.0e-12 0.81 112 8.1e-09 1.6e-03 5.6e-07 9.99e-01 1.077851989e+01 1.077854114e+01 5.4e-12 0.82 113 7.4e-09 1.4e-03 5.0e-07 9.86e-01 1.077852148e+01 1.077854062e+01 4.8e-12 0.83 114 6.8e-09 1.3e-03 4.5e-07 9.95e-01 1.077852292e+01 1.077854014e+01 4.4e-12 0.83 115 6.2e-09 1.2e-03 4.1e-07 1.02e+00 1.077852434e+01 1.077853967e+01 4.0e-12 0.84 116 5.7e-09 1.1e-03 3.7e-07 1.02e+00 1.077852562e+01 1.077853921e+01 3.6e-12 0.85 117 5.1e-09 9.5e-04 3.3e-07 1.03e+00 1.077852678e+01 1.077853882e+01 3.3e-12 0.86 118 5.1e-09 8.5e-04 3.0e-07 1.04e+00 1.077852787e+01 1.077853844e+01 3.0e-12 0.86 119 4.3e-09 7.7e-04 2.7e-07 1.05e+00 1.077852884e+01 1.077853810e+01 2.8e-12 0.87 120 3.9e-09 6.9e-04 2.4e-07 1.00e+00 1.077852954e+01 1.077853787e+01 2.5e-12 0.88 121 3.5e-09 6.2e-04 2.2e-07 1.01e+00 1.077853019e+01 1.077853766e+01 2.3e-12 0.88 122 3.2e-09 5.6e-04 2.0e-07 9.98e-01 1.077853075e+01 1.077853749e+01 2.0e-12 0.89 123 2.9e-09 5.0e-04 1.8e-07 9.95e-01 1.077853126e+01 1.077853732e+01 1.8e-12 0.90 124 2.6e-09 4.5e-04 1.6e-07 1.00e+00 1.077853172e+01 1.077853717e+01 1.7e-12 0.90 125 2.3e-09 4.1e-04 1.4e-07 9.97e-01 1.077853213e+01 1.077853704e+01 1.5e-12 0.91 126 2.1e-09 3.7e-04 1.3e-07 1.01e+00 1.077853251e+01 1.077853691e+01 1.3e-12 0.92 127 1.9e-09 3.3e-04 1.2e-07 1.01e+00 1.077853285e+01 1.077853680e+01 1.2e-12 0.92 128 1.7e-09 3.0e-04 1.0e-07 1.00e+00 1.077853315e+01 1.077853670e+01 1.1e-12 0.93 129 1.5e-09 2.7e-04 9.4e-08 1.00e+00 1.077853342e+01 1.077853662e+01 9.8e-13 0.94 Optimizer terminated. Time: 0.94 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0778533415e+01 nrm: 1e+01 Viol. con: 2e-08 var: 0e+00 Dual. obj: 1.0778536619e+01 nrm: 1e+03 Viol. con: 0e+00 var: 2e-03 * End solution on dual form. * Transforming to primal solution. Solving took 0.963 seconds. Using solver 'mosek' Solving for 1775 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 : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 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 : 2 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 1 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.01 Matrix reordering started. Local matrix reordering started. Local matrix reordering terminated. Matrix reordering terminated. Problem Name : Objective sense : max Type : GECO (general convex optimization problem) Constraints : 1776 Cones : 0 Scalar variables : 6158 Matrix variables : 0 Integer variables : 0 Optimizer - threads : 8 Optimizer - solved problem : the primal Optimizer - Constraints : 890 Optimizer - Cones : 0 Optimizer - Scalar variables : 3514 conic : 0 Optimizer - Semi-definite variables: 0 scalarized : 0 Factor - setup time : 0.02 dense det. time : 0.00 Factor - ML order time : 0.00 GP order time : 0.01 Factor - nonzeros before factor : 1.50e+04 after factor : 1.57e+05 Factor - dense dim. : 0 flops : 3.23e+07 Factor - GP saved nzs : 3.42e+04 GP saved flops : 9.85e+05 ITE PFEAS DFEAS GFEAS PRSTATUS POBJ DOBJ MU TIME 0 2.3e+03 3.2e+03 1.2e+05 0.00e+00 -1.249388705e+05 2.000000000e+00 1.0e+00 0.03 1 1.7e+03 2.4e+03 9.3e+04 -9.71e-01 -1.242524111e+05 2.596346776e+00 7.4e-01 0.04 2 8.6e+02 1.2e+03 4.7e+04 -9.60e-01 -1.217855520e+05 4.693254160e+00 3.8e-01 0.05 3 2.9e+02 4.0e+02 1.6e+04 -9.20e-01 -1.126610220e+05 2.023632709e+01 1.3e-01 0.06 4 2.9e+02 4.0e+02 1.6e+04 -7.70e-01 -1.103537073e+05 2.049098499e+03 1.3e-01 0.07 5 1.2e+02 1.7e+02 6.5e+03 -7.61e-01 -8.905998214e+04 6.276593029e+03 5.3e-02 0.08 6 2.6e+01 3.7e+01 1.5e+03 -4.52e-01 -3.383950487e+04 1.298983439e+04 1.2e-02 0.08 7 1.8e+01 2.5e+01 9.7e+02 4.91e-01 -2.516436517e+04 7.690596620e+03 7.9e-03 0.09 8 9.9e+00 1.4e+01 5.4e+02 6.56e-01 -1.521793946e+04 4.401353244e+03 4.4e-03 0.10 9 3.8e+00 5.3e+00 2.1e+02 8.19e-01 -5.977420591e+03 1.841062135e+03 1.7e-03 0.11 10 1.9e+00 2.7e+00 1.1e+02 9.53e-01 -2.996147734e+03 1.058169063e+03 8.7e-04 0.11 11 8.3e-01 1.2e+00 4.6e+01 9.89e-01 -1.277289793e+03 4.850550407e+02 3.8e-04 0.12 12 7.8e-01 1.1e+00 4.3e+01 9.71e-01 -1.222724139e+03 4.528194725e+02 3.6e-04 0.13 13 4.5e-01 6.4e-01 2.5e+01 9.75e-01 -7.178272830e+02 2.641993635e+02 2.1e-04 0.14 14 3.6e-01 5.0e-01 2.0e+01 1.00e+00 -5.492253371e+02 2.274220198e+02 1.6e-04 0.15 15 1.3e-01 2.0e-01 7.4e+00 9.97e-01 -2.010348257e+02 8.435084300e+01 6.1e-05 0.16 16 5.4e-02 1.2e-01 3.1e+00 1.01e+00 -8.224012558e+01 3.703669664e+01 2.6e-05 0.16 17 5.1e-02 1.1e-01 3.0e+00 1.02e+00 -7.827941846e+01 3.598920736e+01 2.5e-05 0.17 18 3.5e-02 8.4e-02 2.0e+00 1.02e+00 -5.018933900e+01 2.756846522e+01 1.7e-05 0.18 19 3.4e-02 8.1e-02 2.0e+00 1.03e+00 -4.802638472e+01 2.710442615e+01 1.6e-05 0.19 20 1.8e-02 6.2e-02 1.1e+00 1.02e+00 -2.032842360e+01 1.968073580e+01 8.9e-06 0.19 21 5.8e-03 7.7e-02 3.4e-01 1.02e+00 8.272356949e-01 1.358282699e+01 2.9e-06 0.20 22 3.8e-03 5.7e-02 2.2e-01 1.02e+00 4.266553694e+00 1.253344208e+01 1.9e-06 0.21 23 1.2e-03 1.0e-01 7.4e-02 1.00e+00 8.676295910e+00 1.144641590e+01 6.4e-07 0.22 24 1.1e-03 9.3e-02 6.7e-02 9.70e-01 8.878546186e+00 1.135227907e+01 5.8e-07 0.22 25 7.3e-04 7.0e-02 4.6e-02 9.46e-01 9.446374254e+00 1.117135381e+01 4.0e-07 0.23 26 2.9e-04 6.9e-02 1.9e-02 9.66e-01 1.022860553e+01 1.092917640e+01 1.6e-07 0.24 27 1.5e-04 6.9e-02 9.9e-03 9.99e-01 1.047635745e+01 1.085151630e+01 8.8e-08 0.24 28 1.4e-04 . ---------------------------------------------------------------------- Ran 1 test in 21.931s OK Generating XML reports... 6.0e-02 8.9e-03 9.85e-01 1.050692141e+01 1.084152662e+01 7.9e-08 0.25 29 9.1e-05 5.3e-02 6.0e-03 9.71e-01 1.058961538e+01 1.081378282e+01 5.3e-08 0.26 30 8.2e-05 4.9e-02 5.4e-03 9.52e-01 1.060941205e+01 1.081143467e+01 4.8e-08 0.27 31 7.4e-05 4.4e-02 4.9e-03 9.59e-01 1.062427904e+01 1.080679588e+01 4.3e-08 0.27 32 6.6e-05 4.0e-02 4.4e-03 9.77e-01 1.063807037e+01 1.080287112e+01 3.9e-08 0.28 33 6.0e-05 3.6e-02 3.9e-03 9.91e-01 1.065050702e+01 1.079908895e+01 3.5e-08 0.29 34 5.4e-05 3.3e-02 3.5e-03 9.98e-01 1.066164277e+01 1.079545561e+01 3.1e-08 0.30 35 4.8e-05 3.0e-02 3.2e-03 1.00e+00 1.067159289e+01 1.079204938e+01 2.8e-08 0.30 36 4.4e-05 2.7e-02 2.9e-03 1.00e+00 1.068050221e+01 1.078892211e+01 2.6e-08 0.31 37 3.9e-05 2.5e-02 2.6e-03 1.00e+00 1.068849015e+01 1.078607340e+01 2.3e-08 0.32 38 3.5e-05 2.4e-02 2.3e-03 1.00e+00 1.069565585e+01 1.078348496e+01 2.1e-08 0.32 39 3.2e-05 2.2e-02 2.1e-03 1.00e+00 1.070208575e+01 1.078113538e+01 1.9e-08 0.33 40 2.9e-05 2.1e-02 1.9e-03 1.00e+00 1.070785634e+01 1.077900386e+01 1.7e-08 0.34 41 2.6e-05 1.9e-02 1.7e-03 1.00e+00 1.071303595e+01 1.077707108e+01 1.5e-08 0.35 42 2.3e-05 1.8e-02 1.5e-03 1.00e+00 1.071768570e+01 1.077531928e+01 1.4e-08 0.35 43 2.1e-05 1.7e-02 1.4e-03 1.00e+00 1.072186031e+01 1.077373218e+01 1.2e-08 0.36 44 1.9e-05 1.6e-02 1.2e-03 1.00e+00 1.072560879e+01 1.077229483e+01 1.1e-08 0.37 45 1.7e-05 1.5e-02 1.1e-03 1.00e+00 1.072897500e+01 1.077099359e+01 9.9e-09 0.38 46 1.5e-05 1.5e-02 1.0e-03 1.00e+00 1.073199827e+01 1.076981595e+01 8.9e-09 0.39 47 1.4e-05 1.4e-02 9.0e-04 1.00e+00 1.073471381e+01 1.076875054e+01 8.0e-09 0.39 48 1.2e-05 1.3e-02 8.1e-04 1.00e+00 1.073715319e+01 1.076778693e+01 7.2e-09 0.40 49 1.1e-05 1.3e-02 7.3e-04 1.00e+00 1.073934470e+01 1.076691564e+01 6.5e-09 0.41 50 1.0e-05 1.2e-02 6.6e-04 1.00e+00 1.074131370e+01 1.076612803e+01 5.9e-09 0.41 51 9.0e-06 1.2e-02 5.9e-04 1.00e+00 1.074308292e+01 1.076541624e+01 5.3e-09 0.42 52 8.1e-06 1.1e-02 5.3e-04 1.00e+00 1.074467274e+01 1.076477308e+01 4.7e-09 0.43 53 7.3e-06 1.1e-02 4.8e-04 1.00e+00 1.074610143e+01 1.076419204e+01 4.3e-09 0.44 54 6.5e-06 1.1e-02 4.3e-04 1.00e+00 1.074738538e+01 1.076366720e+01 3.8e-09 0.44 55 5.9e-06 1.0e-02 3.9e-04 1.00e+00 1.074853930e+01 1.076319316e+01 3.5e-09 0.45 56 5.3e-06 1.0e-02 3.5e-04 1.00e+00 1.074957639e+01 1.076276506e+01 3.1e-09 0.46 57 4.8e-06 9.9e-03 3.1e-04 1.00e+00 1.075050854e+01 1.076237851e+01 2.8e-09 0.46 58 4.3e-06 9.7e-03 2.8e-04 1.00e+00 1.075134646e+01 1.076202957e+01 2.5e-09 0.47 59 3.9e-06 9.5e-03 2.5e-04 1.00e+00 1.075209977e+01 1.076171470e+01 2.3e-09 0.48 60 3.5e-06 9.3e-03 2.3e-04 1.00e+00 1.075277711e+01 1.076143067e+01 2.0e-09 0.49 61 3.1e-06 9.2e-03 2.1e-04 1.00e+00 1.075338622e+01 1.076117450e+01 1.8e-09 0.49 62 2.8e-06 9.0e-03 1.9e-04 1.00e+00 1.075393399e+01 1.076094354e+01 1.7e-09 0.50 63 2.5e-06 8.9e-03 1.7e-04 1.00e+00 1.075442664e+01 1.076073531e+01 1.5e-09 0.51 64 2.3e-06 8.7e-03 1.5e-04 1.00e+00 1.075486974e+01 1.076054760e+01 1.3e-09 0.52 65 2.1e-06 8.6e-03 1.4e-04 1.00e+00 1.075526829e+01 1.076037843e+01 1.2e-09 0.52 66 1.8e-06 8.5e-03 1.2e-04 1.00e+00 1.075562678e+01 1.076022595e+01 1.1e-09 0.53 67 1.7e-06 8.4e-03 1.1e-04 1.00e+00 1.075594925e+01 1.076008855e+01 9.8e-10 0.54 68 1.5e-06 8.3e-03 9.9e-05 1.00e+00 1.075623932e+01 1.075996472e+01 8.8e-10 0.54 69 1.3e-06 8.3e-03 8.9e-05 1.00e+00 1.075650025e+01 1.075985314e+01 7.9e-10 0.55 70 1.2e-06 8.2e-03 8.0e-05 1.00e+00 1.075673496e+01 1.075975260e+01 7.1e-10 0.56 71 1.1e-06 8.1e-03 7.2e-05 1.00e+00 1.075694610e+01 1.075966200e+01 6.4e-10 0.57 72 9.8e-07 8.0e-03 6.5e-05 1.00e+00 1.075713601e+01 1.075958034e+01 5.8e-10 0.58 73 8.8e-07 8.0e-03 5.8e-05 1.00e+00 1.075730684e+01 1.075950675e+01 5.2e-10 0.59 74 8.0e-07 7.9e-03 5.2e-05 1.00e+00 1.075746049e+01 1.075944043e+01 4.7e-10 0.59 75 7.2e-07 7.9e-03 4.7e-05 1.00e+00 1.075759869e+01 1.075938065e+01 4.2e-10 0.60 76 6.4e-07 7.8e-03 4.2e-05 1.00e+00 1.075772299e+01 1.075932676e+01 3.8e-10 0.61 77 5.8e-07 7.8e-03 3.8e-05 1.00e+00 1.075783480e+01 1.075927822e+01 3.4e-10 0.62 78 5.2e-07 7.7e-03 3.4e-05 1.00e+00 1.075793538e+01 1.075923446e+01 3.1e-10 0.62 79 4.7e-07 7.7e-03 3.1e-05 1.00e+00 1.075802586e+01 1.075919504e+01 2.8e-10 0.63 80 4.2e-07 7.7e-03 2.8e-05 1.00e+00 1.075810726e+01 1.075915953e+01 2.5e-10 0.64 81 3.8e-07 7.6e-03 2.5e-05 1.00e+00 1.075818049e+01 1.075912756e+01 2.2e-10 0.65 82 3.4e-07 7.6e-03 2.3e-05 1.00e+00 1.075824638e+01 1.075909876e+01 2.0e-10 0.66 83 3.1e-07 7.6e-03 2.0e-05 1.00e+00 1.075830568e+01 1.075907282e+01 1.8e-10 0.67 84 2.8e-07 7.5e-03 1.8e-05 1.00e+00 1.075835903e+01 1.075904946e+01 1.6e-10 0.67 85 2.5e-07 7.5e-03 1.6e-05 1.00e+00 1.075840703e+01 1.075902843e+01 1.5e-10 0.68 86 2.2e-07 7.5e-03 1.5e-05 1.00e+00 1.075845023e+01 1.075900951e+01 1.3e-10 0.69 87 2.0e-07 7.4e-03 1.3e-05 1.00e+00 1.075848910e+01 1.075899246e+01 1.2e-10 0.70 88 1.8e-07 7.4e-03 1.2e-05 1.00e+00 1.075852409e+01 1.075897710e+01 1.1e-10 0.70 89 1.6e-07 7.4e-03 1.1e-05 1.00e+00 1.075855561e+01 1.075896315e+01 9.6e-11 0.71 90 1.5e-07 7.4e-03 9.7e-06 1.00e+00 1.075858396e+01 1.075895061e+01 8.7e-11 0.72 91 1.3e-07 7.4e-03 8.8e-06 1.00e+00 1.075860945e+01 1.075893944e+01 7.8e-11 0.73 92 1.2e-07 7.4e-03 7.9e-06 1.00e+00 1.075863239e+01 1.075892937e+01 7.0e-11 0.73 93 1.1e-07 7.4e-03 7.1e-06 1.00e+00 1.075865303e+01 1.075892030e+01 6.3e-11 0.74 94 9.7e-08 7.3e-03 6.4e-06 9.99e-01 1.075867160e+01 1.075891219e+01 5.7e-11 0.75 95 8.7e-08 7.3e-03 5.7e-06 1.00e+00 1.075868833e+01 1.075890479e+01 5.1e-11 0.76 96 7.8e-08 7.3e-03 5.2e-06 9.99e-01 1.075870337e+01 1.075889819e+01 4.6e-11 0.76 97 7.0e-08 7.3e-03 4.7e-06 9.99e-01 1.075871690e+01 1.075889225e+01 4.1e-11 0.77 98 6.3e-08 6.6e-03 4.2e-06 9.99e-01 1.075872915e+01 1.075888668e+01 3.7e-11 0.78 99 5.7e-08 5.9e-03 3.8e-06 1.00e+00 1.075874011e+01 1.075888188e+01 3.4e-11 0.78 100 5.1e-08 5.3e-03 3.4e-06 1.00e+00 1.075874997e+01 1.075887757e+01 3.0e-11 0.79 101 4.6e-08 4.8e-03 3.1e-06 1.00e+00 1.075875884e+01 1.075887368e+01 2.7e-11 0.80 102 4.2e-08 4.3e-03 2.7e-06 1.00e+00 1.075876683e+01 1.075887017e+01 2.4e-11 0.81 103 3.7e-08 3.9e-03 2.5e-06 1.00e+00 1.075877402e+01 1.075886702e+01 2.2e-11 0.81 104 3.4e-08 3.5e-03 2.2e-06 1.00e+00 1.075878048e+01 1.075886419e+01 2.0e-11 0.82 105 3.0e-08 3.1e-03 2.0e-06 9.98e-01 1.075878630e+01 1.075886164e+01 1.8e-11 0.83 106 2.7e-08 2.8e-03 1.8e-06 1.00e+00 1.075879155e+01 1.075885934e+01 1.6e-11 0.84 107 2.5e-08 2.5e-03 1.6e-06 1.00e+00 1.075879627e+01 1.075885726e+01 1.4e-11 0.84 108 2.2e-08 2.3e-03 1.5e-06 9.97e-01 1.075880051e+01 1.075885540e+01 1.3e-11 0.85 109 2.0e-08 2.1e-03 1.3e-06 9.97e-01 1.075880433e+01 1.075885373e+01 1.2e-11 0.86 110 1.8e-08 1.9e-03 1.2e-06 1.00e+00 1.075880776e+01 1.075885222e+01 1.1e-11 0.86 111 1.6e-08 1.7e-03 1.1e-06 1.00e+00 1.075881085e+01 1.075885087e+01 9.5e-12 0.87 112 1.5e-08 1.5e-03 9.6e-07 1.00e+00 1.075881364e+01 1.075884965e+01 8.5e-12 0.88 113 1.3e-08 1.4e-03 8.6e-07 1.00e+00 1.075881616e+01 1.075884854e+01 7.7e-12 0.89 114 1.2e-08 1.2e-03 7.8e-07 1.00e+00 1.075881843e+01 1.075884754e+01 6.9e-12 0.89 115 1.1e-08 1.1e-03 7.0e-07 1.02e+00 1.075882059e+01 1.075884658e+01 6.3e-12 0.90 116 9.6e-09 9.9e-04 6.3e-07 1.02e+00 1.075882255e+01 1.075884566e+01 5.7e-12 0.91 117 8.6e-09 8.9e-04 5.7e-07 1.01e+00 1.075882425e+01 1.075884490e+01 5.2e-12 0.92 118 7.9e-09 8.0e-04 5.1e-07 1.01e+00 1.075882576e+01 1.075884419e+01 4.7e-12 0.92 119 7.0e-09 7.2e-04 4.6e-07 1.01e+00 1.075882711e+01 1.075884361e+01 4.2e-12 0.93 120 6.3e-09 6.5e-04 4.1e-07 9.83e-01 1.075882826e+01 1.075884312e+01 3.8e-12 0.94 121 5.7e-09 5.8e-04 3.7e-07 1.01e+00 1.075882936e+01 1.075884265e+01 3.4e-12 0.95 122 5.3e-09 5.2e-04 3.3e-07 9.78e-01 1.075883030e+01 1.075884219e+01 3.1e-12 0.95 123 6.0e-09 4.7e-04 3.0e-07 1.10e+00 1.075883156e+01 1.075884150e+01 2.9e-12 0.96 124 6.5e-09 4.2e-04 2.7e-07 1.01e+00 1.075883234e+01 1.075884106e+01 2.6e-12 0.97 125 5.9e-09 3.8e-04 2.4e-07 9.53e-01 1.075883297e+01 1.075884084e+01 2.4e-12 0.98 126 5.4e-09 3.4e-04 2.2e-07 9.76e-01 1.075883353e+01 1.075884063e+01 2.1e-12 0.98 127 4.8e-09 3.1e-04 2.0e-07 1.01e+00 1.075883406e+01 1.075884043e+01 1.9e-12 1.00 128 4.4e-09 2.8e-04 1.8e-07 9.99e-01 1.075883452e+01 1.075884025e+01 1.7e-12 1.01 129 3.9e-09 2.5e-04 1.6e-07 1.01e+00 1.075883494e+01 1.075884009e+01 1.6e-12 1.02 130 3.5e-09 2.3e-04 1.4e-07 9.93e-01 1.075883531e+01 1.075883994e+01 1.4e-12 1.03 131 3.2e-09 2.0e-04 1.3e-07 9.99e-01 1.075883564e+01 1.075883981e+01 1.3e-12 1.04 132 2.7e-09 1.8e-04 1.2e-07 1.03e+00 1.075883600e+01 1.075883965e+01 1.1e-12 1.05 133 2.5e-09 1.6e-04 1.0e-07 1.00e+00 1.075883627e+01 1.075883954e+01 1.0e-12 1.05 134 2.2e-09 1.5e-04 9.4e-08 9.92e-01 1.075883651e+01 1.075883945e+01 9.3e-13 1.06 Optimizer terminated. Time: 1.06 solsta = 1, prosta = 1 Interior-point solution summary Problem status : PRIMAL_AND_DUAL_FEASIBLE Solution status : OPTIMAL Primal. obj: 1.0758836508e+01 nrm: 1e+01 Viol. con: 3e-08 var: 0e+00 Dual. obj: 1.0758839449e+01 nrm: 1e+03 Viol. con: 0e+00 var: 9e-04 * End solution on dual form. * Transforming to primal solution. Solving took 1.09 seconds. Solving took 9 GP solves and 17.2 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 ---- 4.422e+70 Free Variables -------------- | Mission/Aircraft/Engine/EngineConstants/Relax M_{takeoff} : 2.145 1 Minus Percent mass flow loss for de-ice, pressurization, etc. g : 2.119 Gravitational Acceleration | Mission/Aircraft/Engine/Turbine/Relax C_{p_{t2}} : 3.715 Cp Value for Combustion Products in LP Turbine | Mission/Aircraft/Fuselage/Relax l_{nose} : 1.062 Nose length n_{pass} : [ 3.25 ] Number of passengers | Mission/Aircraft/Relax f_{L_{total/wing}} : 1.927 Total lift as a percentage of wing lift | Mission/Aircraft/Wing/WingNoStruct/Relax \tan(\Lambda) : 1.09 Tangent of quarter-chord sweep angle | Mission/FlightState/Atmosphere/Relax L_{atm} : [ 1.92 1 1 1 1 ] Temperature lapse rate T_{sl} : [ 1 1 1.16 1 1 ] Temperature at sea level | Mission/Relax R_{req} : 7.084 Required Cruise Range GP iteration 1 has relaxed constants Cost ---- 8.029e+18 Free Variables -------------- | Mission/Aircraft/Engine/Turbine/Relax C_{p_{t2}} : 1.846 Cp Value for Combustion Products in LP Turbine | Mission/Aircraft/Fuselage/Relax n_{pass} : [ 1.23 ] Number of passengers | Mission/Aircraft/LandingGear/Relax h_{hold} : 1.015 Hold height | Mission/Aircraft/Relax f_{L_{total/wing}} : 2.134 Total lift as a percentage of wing lift GP iteration 2 has relaxed constants Cost ---- 2.69e+07 Free Variables -------------- f_{L_{total/wing}} : 1.307 Total lift as a percentage of wing lift WEIGHT DIFFERENCES Total Fuel Weight Percent Diff: [-12.74925178] Total Aircraft Weight Percent Diff: [-4.24232344] Engine Weight Percent Diff: -53.57902826366686 Fuselage Weight Percent Diff: -0.6046447350132331 Payload Weight Percent Diff: [-0.04003556] VT Weight Percent Diff: 25.899995364774853 HT Weight Percent Diff: -92.42499738209516 Wing Weight Percent Diff: 8.768932186627966 WING DIFFERENCES Wing Span Percent Diff: -0.02999192278261469 Wing Area Percent Diff: 31.85961839363249 HORIZONTAL TAIL DIFFERENCES HT Area Percent Diff: 43.617152719977994 VERTICAL TAIL DIFFERENCES VT Span Percent Diff: -0.9959248443844305 VT Area Percent Diff: -50.95624410101688 CRUISE SEGMENT 1 DRAG DIFFERENCES Overall Cd Percent Diff: [-13.49059557] L/D Percent Diff: [20.56834874] Nacelle Cd Percent Diff: [-34.83213153] HT Cd Percent Diff: [-79.37356713] dimensionless Fuselage Cd Percent Diff: [108.78752887] VT Cd Percent Diff: [-45.8465977] dimensionless Wing Cd percent Diff: [-13.5694804] Induced Drag Cd Percent Diff: [7.12332291] CRUISE SEGMENT 1 TSFC DIFFERENCES Initial Cruise TSFC Percent Diff: [1.71217467] FUSELAGE DIFFERENCES Weight of HB material: -32.7997986058029 Weight of VB material: 128.9307375019657 Fan Propulsive Efficiency in Cruise Segment 1 --------------------- [0.68258924] 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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (0.24.2) Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2.8.0) Requirement already satisfied: numpy>=1.12.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (1.16.4) Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2019.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas) (1.12.0) 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 /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-RmaTVD Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-RmaTVD Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-okq4kM/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 /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-NruzMd Running command git clone -q https://github.com/convexengineering/gassolar.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-NruzMd Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from gassolar==0.0.0.0) (0.8.0.0) Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.3) Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.0) Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.1) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (1.0.2) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.12.0) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-wch3Na/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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/solar Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (1.2.2) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from solar==0.0.0.0) (0.8.0.0) Requirement already satisfied: pandas in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from solar==0.0.0.0) (0.1) Requirement already satisfied: gpkitmodels in /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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->solar==0.0.0.0) (1.2.3) Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->solar==0.0.0.0) (2.8.0) Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas->solar==0.0.0.0) (2019.1) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (1.0.2) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas->solar==0.0.0.0) (1.12.0) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-gQtOrE/wheels/55/91/84/60653f7cb392791f8ec648fb5ef240c78233b7566d69a6c92c Successfully built solar Installing collected packages: solar Successfully installed solar-0.0.0.0 Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/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 184.714s OK Generating XML reports... 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 1.53 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 1632916.9450 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 1259333.2969 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 1.48 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 2.14 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 989673.4629 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 1019678.5278 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 2.26 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 2.1 seconds. Warning: Variable [gpkit.Variable(CL_Mission.4/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission.4/Climb/Ai could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission.4/Climb/Ai could cause inaccurate result because it is above upper bound. Solution is 1007400.4733 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission.4/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission.4/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1092545.5063 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 0.915 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 1119121.2074 but bound is 600000.0000 Beginning signomial solve. Solving took 5 GP solves and 1.11 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 1632916.9442 but bound is 600000.0000 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/TailAero.1_(0,)) gpkit.Variable(Re_Mission/Climb/Airc could cause inaccurate result because it is above upper bound. Solution is 1259333.2964 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 1.44 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 1.71 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 989673.4626 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 1019678.5276 but bound is 1000000.0000 Beginning signomial solve. Solving took 6 GP solves and 1.84 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 1.85 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 1007400.4729 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 1092545.5059 but bound is 1000000.0000 Beginning signomial solve. Solving took 4 GP solves and 0.868 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 1119121.2074 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.11 seconds. Allowing negative dual variable(s) as small as -2.3471699334091922e-11. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7444 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 3.23 seconds. Allowing negative dual variable(s) as small as -7.161696810457919e-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 729183.6543 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.49 seconds. Using solver 'mosek' Solving for 14852 variables. Solving took 4.03 seconds. Allowing negative dual variable(s) as small as -2.3471699334091922e-11. Warning: Variable [gpkit.Variable(CL_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(CL_Mission/Climb/Aircra could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable [gpkit.Variable(Re_Mission/Climb/AircraftDrag/WingAero_(0,)) gpkit.Variable(Re_Mission/Climb/Aircra could cause inaccurate result because it is above upper bound. Solution is 671709.7444 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 3.33 seconds. Allowing negative dual variable(s) as small as -7.161696810457919e-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 729183.6543 but bound is 600000.0000 Using solver 'mosek' Solving for 14852 variables. Solving took 4.7 seconds. Beginning signomial solve. Solving took 4 GP solves and 0.726 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 Beginning signomial solve. Solving took 4 GP solves and 0.719 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 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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (0.24.2) Requirement already satisfied: python-dateutil>=2.5.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2.8.0) Requirement already satisfied: numpy>=1.12.0 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (1.16.4) Requirement already satisfied: pytz>=2011k in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pandas) (2019.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from python-dateutil>=2.5.0->pandas) (1.12.0) 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 /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-1P2a8M Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-req-build-1P2a8M Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpfit==0.1) (1.2.2) Requirement already satisfied: gpkit in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gpkit (from gpfit==0.1) (0.8.0.0) Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: ctypesgen in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (0.post125) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkit->gpfit==0.1) (1.2.3) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (1.0.2) 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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-Uh26WZ/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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/gplibrary Requirement already satisfied: numpy>=1.12 in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (1.16.4) Requirement already satisfied: scipy in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (1.2.2) Requirement already satisfied: pint in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: funcsigs; python_version == "2.7" in /Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/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: /private/var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/pip-ephem-wheel-cache-B3M_5y/wheels/ab/79/3c/c09e2173989dc969f23a5e4c34887060b900152ee1d8be6e1c 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 Running tests... ---------------------------------------------------------------------- ../Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/lib/python2.7/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 8.572s OK Generating XML reports... 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 0.0104 seconds. Using solver 'mosek_cli' Solving for 11 variables. Solving took 0.0308 seconds. Using solver 'mosek' Solving for 9 variables. Solving took 0.00988 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.00933 seconds. Using solver 'mosek' Solving for 25 variables. Solving took 0.00923 seconds. Beginning signomial solve. Solving took 16 GP solves and 0.768 seconds. Using solver 'mosek_cli' Solving for 9 variables. Solving took 0.0306 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.0347 seconds. Using solver 'mosek_cli' Solving for 25 variables. Solving took 0.0313 seconds. Beginning signomial solve. Solving took 16 GP solves and 1.16 seconds. Using solver 'mosek' Solving for 13 variables. Solving took 0.00985 seconds. Beginning signomial solve. Solving took 11 GP solves and 0.475 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 1619896.9519 but bound is 700000.0000 Using solver 'mosek_cli' Solving for 13 variables. Solving took 0.0296 seconds. Beginning signomial solve. Solving took 11 GP solves and 0.713 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 0.0166 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.0111 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 0.0109 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.0113 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.0112 seconds. Using solver 'mosek' Solving for 121 variables. Solving took 0.0112 seconds. Solving took 6 GP solves and 0.173 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.0463 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.036 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 0.0411 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.0352 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.036 seconds. Using solver 'mosek_cli' Solving for 121 variables. Solving took 0.213 seconds. Solving took 6 GP solves and 0.553 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 240 variables. Solving took 0.0234 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.0166 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 0.0196 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 0.0144 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.0177 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.0191 seconds. Using solver 'mosek' Solving for 240 variables. Solving took 0.018 seconds. Solving took 7 GP solves and 0.39 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.0521 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.0438 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 0.0465 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 0.0455 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.0552 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.0457 seconds. Using solver 'mosek_cli' Solving for 240 variables. Solving took 0.0438 seconds. Solving took 7 GP solves and 0.619 seconds. Beginning signomial solve. Using solver 'mosek' Solving for 20 variables. Solving took 0.0101 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.00902 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.00899 seconds. Using solver 'mosek' Solving for 20 variables. Solving took 0.00903 seconds. Solving took 4 GP solves and 0.0442 seconds. Beginning signomial solve. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.031 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.0337 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.0305 seconds. Using solver 'mosek_cli' Solving for 20 variables. Solving took 0.0306 seconds. Solving took 4 GP solves and 0.139 seconds. Cloning into 'eVTOL'... Running tests... ---------------------------------------------------------------------- .. ---------------------------------------------------------------------- Ran 2 tests in 0.805s OK Generating XML reports... adding test for 'aircraft_models.py' 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 /Users/jenkins/mosek/8/tools/platform/osx64x86/h/mosek.h # Found /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib # Found /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.c # Found /Users/jenkins/mosek/8/tools/examples/c/expopt.c # Found /Users/jenkins/mosek/8/tools/examples/c/dgopt.c # Found /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.h # Found /Users/jenkins/mosek/8/tools/examples/c/expopt.h # Found /Users/jenkins/mosek/8/tools/examples/c/dgopt.h # Found /Users/jenkins/mosek/8/tools/platform/osx64x86/h/mosek.h # Found mosek version 8, installed to /Users/jenkins/mosek # # Building mosek... # Replacing directory _mosek/lib # Replacing directory _mosek/build # Replacing directory /Users/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit # # Copying expopt library files to _mosek/build # Copying /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.c # Copying /Users/jenkins/mosek/8/tools/examples/c/expopt.c # Copying /Users/jenkins/mosek/8/tools/examples/c/dgopt.c # Copying /Users/jenkins/mosek/8/tools/examples/c/scopt-ext.h # Copying /Users/jenkins/mosek/8/tools/examples/c/expopt.h # Copying /Users/jenkins/mosek/8/tools/examples/c/dgopt.h # Copying /Users/jenkins/mosek/8/tools/platform/osx64x86/h/mosek.h # # Applying expopt patches... # # Change in _mosek/build/dgopt.con line 651 # -- 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,-rpath "/Users/jenkins/mosek/8/tools/platform/osx64x86/bin" _mosek/build/scopt-ext.c _mosek/build/expopt.c _mosek/build/dgopt.c "/Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib" -o /Users/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit/expopt.so' ## ### CALL BEGINS ### CALL ENDS ## # Calling 'install_name_tool -change libmosek64.8.1.dylib /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib /Users/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit/expopt.so' ## ### CALL BEGINS ### CALL ENDS ## # Calling 'install_name_tool -change libmosek64.8.1.dylib @executable_path/libmosek64.8.1.dylib /Users/jenkins/mosek/8/tools/platform/osx64x86/bin/mskexpopt' ## ### 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 /Users/jenkins/workspace/gplibrary_Push_Models/mosek/build_gpkit/expopt.so -l "/Users/jenkins/mosek/8/tools/platform/osx64x86/bin/libmosek64.8.1.dylib" -o _mosek/lib/expopt_h.py _mosek/build/expopt.h' ## ### CALL BEGINS ### CALL ENDS ## # Done building mosek # Looking for mosek_cli # Trying to run mskexpopt... # Calling 'mskexpopt' ## ### CALL BEGINS ### CALL ENDS ## # Found mosek_cli in system path # Looking for cvxopt # Trying to import cvxopt... # Found cvxopt in Python path ...finished building gpkit. Replaced found solvers (['mosek', 'mosek_cli', 'cvxopt']) with environment var GPKITSOLVERS (mosek, mosek_cli) Found the following solvers: mosek, mosek_cli # Replacing directory env GPkit is now installed with solver(s) ['mosek', 'mosek_cli'] To incorporate new solvers at a later date, run `gpkit.build()`. If any tests didn't pass, please post the output above (starting from "Found no installed solvers, beginning a build.") to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new so we can prevent others from having these errors. The same goes for any 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 ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', '--no-cache-dir', '--no-deps', '-e', 'gplibrary'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git'] attempt 1 SETTINGS defaultdict(, {}) calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git'] attempt 1 SETTINGS defaultdict(, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'}) calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/jho.git'] attempt 1 SETTINGS defaultdict(, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'}) calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/turbofan.git'] attempt 1 SETTINGS defaultdict(, {'skipsolvers': 'cvxopt, mosek_cli', 'gpkit-models branch': 'master'}) calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/SPaircraft.git'] attempt 1 SETTINGS defaultdict(, {'skipsolvers': 'cvxopt, mosek_cli', 'pip install': 'git+https://github.com/hoburg/turbofan.git', 'gpkit-models branch': 'master'}) calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/turbofan.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/solar.git'] attempt 1 SETTINGS defaultdict(, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master'}) calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gpfit.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gassolar.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git'] attempt 1 attempt 2 attempt 3 attempt 4 attempt 5 SETTINGS defaultdict(, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'}) calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/gplibrary_Push_Models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/eVTOL.git'] attempt 1 SETTINGS defaultdict(, {}) [Execution node] check if [macys] is in [[windows10x64, windows7x64]] Run condition [Execution node ] preventing perform for step [Execute Windows batch command] 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 '/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