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The Jenkins Controller is preparing for shutdown. No new builds can be started.
Started by upstream project "CE_gpkit_PR_research_models" build number 422 originally caused by: GitHub pull request #1472 of commit ad8f61dcac4a33510e3bb85b0031043acf6192c9, no merge conflicts. Running as SYSTEM [EnvInject] - Loading node environment variables. Building remotely on reynolds in workspace /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek No credentials specified Wiping out workspace first. Cloning the remote Git repository Cloning repository https://github.com/convexengineering/gpkit > git init /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gpkit > git --version # timeout=10 > git fetch --tags --progress https://github.com/convexengineering/gpkit +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gpkit > git fetch --tags --progress https://github.com/convexengineering/gpkit +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging Revision e335b8214e16dd44336b1f40c0378bda09a13f19 (refs/remotes/origin/pr/1472/merge) to origin/master, UserMergeOptions{mergeRemote='origin', mergeTarget='master', mergeStrategy='DEFAULT', fastForwardMode='FF'} > git rev-parse origin/master^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f origin/master # timeout=3 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 > git merge --ff e335b8214e16dd44336b1f40c0378bda09a13f19 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 Seen branch in repository origin/betterpickling Seen branch in repository origin/debug_1461 Seen branch in repository origin/ecos Seen branch in repository origin/equality Seen branch in repository origin/fmincon_update Seen branch in repository origin/integer Seen branch in repository origin/master Seen branch in repository origin/mergecos Seen branch in repository origin/pr/10/head Seen branch in repository origin/pr/1000/head Seen branch in repository origin/pr/1002/head Seen branch in repository 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possible memory leak due to Git plugin usage; see: https://wiki.jenkins.io/display/JENKINS/Remove+Git+Plugin+BuildsByBranch+BuildData Checking out Revision e335b8214e16dd44336b1f40c0378bda09a13f19 (origin/pr/1472/merge, origin/master) > git config core.sparsecheckout # timeout=10 > git checkout -f e335b8214e16dd44336b1f40c0378bda09a13f19 # timeout=3 Commit message: "Merge ad8f61dcac4a33510e3bb85b0031043acf6192c9 into 75c2c4a1e77569eb0891a22212a29f8bf83c5ed8" Using 'Changelog to branch' strategy. Run condition [Execution node ] enabling prebuild for step [Execute shell] Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command] [description-setter] Description set: <a title="Better pickling" href="https://github.com/convexengineering/gpkit/pull/1472">PR 1472</a>: Better pickling [Execution node] check if [reynolds] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]] Run condition [Execution node ] enabling perform for step [Execute shell] [mosek] $ /bin/bash -xe /tmp/jenkins8576589453589073546.sh + git clone ssh://acdl.mit.edu/home/svnroot/JenkinsGPkit Cloning into 'JenkinsGPkit'... + source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/gpkit_PR_research_models.sh ++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/all_machines.sh +++ [[ reynolds == *macys* ]] +++ [[ reynolds == *reynolds* ]] +++ export CVXOPT_SUITESPARSE_INC_DIR=/usr/include/suitesparse +++ CVXOPT_SUITESPARSE_INC_DIR=/usr/include/suitesparse +++ export PATH=/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ PATH=/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ virtualenv --python=python3 /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit Using base prefix '/usr' New python executable in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/python3 Also creating executable in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/python Installing setuptools, pip, wheel...done. Running virtualenv with interpreter /usr/bin/python3 +++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/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=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit ++++ export VIRTUAL_ENV ++++ _OLD_VIRTUAL_PATH=/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games ++++ PATH=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin:/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games ++++ export PATH ++++ '[' -z '' ']' ++++ '[' -z '' ']' ++++ _OLD_VIRTUAL_PS1= ++++ '[' x '!=' x ']' +++++ basename /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit ++++ PS1='(venv2_gpkit) ' ++++ export PS1 ++++ alias pydoc ++++ '[' -n /bin/bash ']' ++++ hash -r +++ ls /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek CODE_OF_CONDUCT.md docs fulltests.sh gpkit JenkinsGPkit LICENSE linecount.sh MANIFEST pylint.sh README.md rtd_requirements.txt runtests.sh setup.py venv2_gpkit ++++ which pip +++ export PIP=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip +++ PIP=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip +++ pip_install pip +++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pip Requirement already up-to-date: pip in ./venv2_gpkit/lib/python3.5/site-packages (20.0.2) ++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/mosek_installs.sh +++ [[ mosek == mosek ]] +++ [[ reynolds == *reynolds* ]] +++ export PATH=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin:/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/mosek/9.1/tools/platform/linux64x86/bin +++ PATH=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin:/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/mosek/9.1/tools/platform/linux64x86/bin +++ python /home/jenkins/mosek/9.1/tools/platform/linux64x86/python/3/setup.py install running install running build running build_py running build_ext copying mosek/_msk.abi3.so -> build/lib.linux-x86_64-3.5/mosek copying mosek/fusion/impl/fragments.abi3.so -> build/lib.linux-x86_64-3.5/mosek/fusion/impl running install_lib creating /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek copying build/lib.linux-x86_64-3.5/mosek/__init__.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek copying build/lib.linux-x86_64-3.5/mosek/_msk.abi3.so -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek creating /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion copying build/lib.linux-x86_64-3.5/mosek/fusion/__init__.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion copying build/lib.linux-x86_64-3.5/mosek/fusion/Utils.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion creating /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl copying build/lib.linux-x86_64-3.5/mosek/fusion/impl/fragments.abi3.so -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl copying build/lib.linux-x86_64-3.5/mosek/fusion/impl/__init__.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl copying build/lib.linux-x86_64-3.5/mosek/fusion/impl/_implementation.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/__init__.py to __init__.cpython-35.pyc byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/__init__.py to __init__.cpython-35.pyc byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/Utils.py to Utils.cpython-35.pyc byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl/__init__.py to __init__.cpython-35.pyc byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl/_implementation.py to _implementation.cpython-35.pyc running install_egg_info Writing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/Mosek-9.1.11.egg-info Fixing library paths copying /home/jenkins/mosek/9.1/tools/platform/linux64x86/bin/libcilkrts.so.5 -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/ copying /home/jenkins/mosek/9.1/tools/platform/linux64x86/bin/libmosek64.so.9.1 -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/ Installing preloader module writing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/_mskpreload.py +++ msktestlic Mosek license manager: License path: /home/jenkins/mosek/mosek.lic Mosek license manager: Checkout license feature 'PTS' from flexlm. Mosek license manager: Checkout time 0.03. 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 started. Freed constraints in eliminator : 0 Eliminator terminated. Eliminator - tries : 2 time : 0.00 Lin. dep. - tries : 0 time : 0.00 Lin. dep. - number : 0 Presolve terminated. Time: 0.00 Optimizer terminated. Time: 0.02 ************************************ A license was checked out correctly. ************************************ +++ export 'GPKITSOLVERS=mosek_cli, mosek_conif' +++ GPKITSOLVERS='mosek_cli, mosek_conif' +++ COVERAGE_OMIT=gpkit/solvers/cvxopt.py ++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/cvxopt_installs.sh +++ [[ mosek == cvxopt ]] ++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/pip_installs_base.sh +++ pip_install ad +++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade ad Processing /home/jenkins/.cache/pip/wheels/ad/93/a6/5c7acfabb8aef11eec7fe275da1f8d4c10e46139b82d43d455/ad-1.3.2-py3-none-any.whl Installing collected packages: ad Successfully installed ad-1.3.2 +++ pip_install xmlrunner +++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade xmlrunner Processing /home/jenkins/.cache/pip/wheels/d2/b6/82/45ddac455f0209f0f50861031cbf91114e64305d2296e6b2ed/xmlrunner-1.7.7-py3-none-any.whl Installing collected packages: xmlrunner Successfully installed xmlrunner-1.7.7 +++ pip_install pandas +++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pandas Collecting pandas Using cached pandas-0.24.2-cp35-cp35m-manylinux1_x86_64.whl (10.0 MB) Collecting numpy>=1.12.0 Using cached numpy-1.18.1-cp35-cp35m-manylinux1_x86_64.whl (19.9 MB) Collecting python-dateutil>=2.5.0 Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting pytz>=2011k Using cached pytz-2019.3-py2.py3-none-any.whl (509 kB) Collecting six>=1.5 Using cached six-1.14.0-py2.py3-none-any.whl (10 kB) Installing collected packages: numpy, six, python-dateutil, pytz, pandas Successfully installed numpy-1.18.1 pandas-0.24.2 python-dateutil-2.8.1 pytz-2019.3 six-1.14.0 +++ pip_install matplotlib +++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade matplotlib Collecting matplotlib Using cached matplotlib-3.0.3-cp35-cp35m-manylinux1_x86_64.whl (13.0 MB) Collecting cycler>=0.10 Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 Using cached pyparsing-2.4.6-py2.py3-none-any.whl (67 kB) Requirement already satisfied, skipping upgrade: numpy>=1.10.0 in ./venv2_gpkit/lib/python3.5/site-packages (from matplotlib) (1.18.1) Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in ./venv2_gpkit/lib/python3.5/site-packages (from matplotlib) (2.8.1) Collecting kiwisolver>=1.0.1 Using cached kiwisolver-1.1.0-cp35-cp35m-manylinux1_x86_64.whl (90 kB) Requirement already satisfied, skipping upgrade: six in ./venv2_gpkit/lib/python3.5/site-packages (from cycler>=0.10->matplotlib) (1.14.0) Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python3.5/site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0) Installing collected packages: cycler, pyparsing, kiwisolver, matplotlib Successfully installed cycler-0.10.0 kiwisolver-1.1.0 matplotlib-3.0.3 pyparsing-2.4.6 +++ pip_install coverage +++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade coverage Collecting coverage Using cached coverage-5.0.3-cp35-cp35m-manylinux1_x86_64.whl (227 kB) Installing collected packages: coverage Successfully installed coverage-5.0.3 ++++ which coverage +++ export COVERAGE=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/coverage +++ COVERAGE=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/coverage ++ pip_install numpy ++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade numpy Requirement already up-to-date: numpy in ./venv2_gpkit/lib/python3.5/site-packages (1.18.1) ++ pip_install scipy ++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade scipy Collecting scipy Using cached scipy-1.4.1-cp35-cp35m-manylinux1_x86_64.whl (26.0 MB) Requirement already satisfied, skipping upgrade: numpy>=1.13.3 in ./venv2_gpkit/lib/python3.5/site-packages (from scipy) (1.18.1) Installing collected packages: scipy Successfully installed scipy-1.4.1 ++ pip_install pint ++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pint Collecting pint Using cached Pint-0.9-py2.py3-none-any.whl (138 kB) Installing collected packages: pint Successfully installed pint-0.9 ++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/print_versions.sh +++ python -c 'import scipy; print(scipy.__version__)' 1.4.1 +++ python -c 'import numpy; print(numpy.__version__)' 1.18.1 +++ python -c 'import pint; print(pint.__version__)' 0.9 +++ python -c 'import gpkit; print(gpkit.settings)' /bin/sh: 1: mskexpopt: not found 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 241 tests in 197.526s OK 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_cli # Trying to run mskexpopt... # Calling 'mskexpopt' ## ### CALL BEGINS ### CALL ENDS ## # `mskexpopt` is not in system path, let's try adding it. # Trying to run mskexpopt... # Calling 'mskexpopt' ## ### CALL BEGINS ### CALL ENDS ## # Found mosek_cli in /home/jenkins/mosek/8/tools/platform/linux64x86/bin # # # Looking for mosek_conif # Trying to import mosek... # Found mosek_conif in Python path # # # Looking for cvxopt # Trying to import cvxopt... # Did not find # cvxopt ...finished building gpkit. Replaced found solvers (['mosek_cli', 'mosek_conif']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif) Found the following solvers: mosek_cli, mosek_conif # Replacing directory env GPkit is now installed with solver(s) ['mosek_cli', 'mosek_conif'] 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! {'installed_solvers': ['mosek_cli', 'mosek_conif'], 'mosek_bin_dir': '/home/jenkins/mosek/8/tools/platform/linux64x86/bin', 'default_solver': 'mosek_cli', 'just built!': True} ++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --no-cache-dir -e /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/ Obtaining file:///jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek Requirement already satisfied: numpy>=1.16.4 in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (1.18.1) Requirement already satisfied: pint<0.10,>=0.8.1 in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (0.9) Requirement already satisfied: scipy in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (1.4.1) Requirement already satisfied: ad in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (1.3.2) Collecting cvxopt>=1.1.8 Downloading cvxopt-1.2.4-cp35-cp35m-manylinux1_x86_64.whl (11.6 MB) Installing collected packages: cvxopt, gpkit Running setup.py develop for gpkit Successfully installed cvxopt-1.2.4 gpkit ++ 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)' /bin/sh: 1: mskexpopt: not found 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.] .................................................................................................................................................................................................................................................Cloning into 'gplibrary'... Obtaining file:///jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary Installing collected packages: gpkitmodels Running setup.py develop for gpkitmodels Successfully installed gpkitmodels Cloning into 'robust'... Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) adding test for 'run_tests.py' SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.38% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.007%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. Final solution let signomial constraints slacken by 1.1%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.3% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.047%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.0067% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.023%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.14% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.057% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.026% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.038%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.15% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.0011% on GP solve 6. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.034% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.02%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.33% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.077% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.084% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Running tests... ---------------------------------------------------------------------- Running tests... ---------------------------------------------------------------------- .......................................... ---------------------------------------------------------------------- Ran 42 tests in 1000.191s OK Generating XML reports... . Running tests... ---------------------------------------------------------------------- .......................................... ---------------------------------------------------------------------- Ran 42 tests in 95.953s OK Generating XML reports... . ---------------------------------------------------------------------- Ran 2 tests in 1097.093s OK Generating XML reports... SGP not convergent: Cost rose by 1.1% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Solution check warning: Sum of nu^T * A did not vanish. Final solution let signomial constraints slacken by 9.5%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.084% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.0086%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.21% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.19% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.16% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.014% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.11% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.0086% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.092% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.01% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.0054% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.1% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.12% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.056% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Cloning into 'shopping'... Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 1.884s OK Generating XML reports... adding test for 'test.py' Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 0.215 seconds. Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 1.45 seconds. Using solver 'mosek_conif' for 25 free variables in 40 posynomial inequalities. Solving took 0.0221 seconds. Cloning into 'gassolar'... Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2) Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1) Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1) Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3) Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0) Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-smxkt0pf Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-smxkt0pf Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=e83ef1afe2ea1bea123e4d9eefcfff7c1258a1754a52551f667db3ec7c85e355 Stored in directory: /tmp/pip-ephem-wheel-cache-ya52xj3_/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734 Successfully built gpfit Installing collected packages: gpfit Successfully installed gpfit-0.1 Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gassolar Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.4.1) Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0) Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4) Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1) Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2019.3) Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.14.0) Building wheels for collected packages: gassolar Building wheel for gassolar (setup.py): started Building wheel for gassolar (setup.py): finished with status 'done' Created wheel for gassolar: filename=gassolar-0.0.0.0-py3-none-any.whl size=4876521 sha256=6b19484c42507f56cc677144e4f511f2ee1b8a1bca3981a7b4bfedcdeac892ee Stored in directory: /tmp/pip-ephem-wheel-cache-kjfhio8t/wheels/4a/f6/b3/8e03e3edbf6f5d28608c472583a38096ae09ac9565473f47e9 Successfully built gassolar Installing collected packages: gassolar Successfully installed gassolar-0.0.0.0 Running tests... ---------------------------------------------------------------------- /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) . ---------------------------------------------------------------------- Ran 4 tests in 29.418s OK Generating XML reports... adding test for 'gassolar/gas/gas.py' adding test for 'gassolar/solar/solar.py' Using solver 'mosek_cli' for 592 free variables in 918 posynomial inequalities. Solving took 0.373 seconds. Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Starting a sequence of GP solves for 5 free variables in 2 signomial constraints and for 600 free variables in 926 posynomial inequalities. Solving took 1.92 seconds and 4 GP solves. Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Using solver 'mosek_conif' for 592 free variables in 918 posynomial inequalities. Solving took 0.372 seconds. Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Starting a sequence of GP solves for 5 free variables in 2 signomial constraints and for 600 free variables in 926 posynomial inequalities. Solving took 1.02 seconds and 4 GP solves. Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685 Using solver 'mosek_cli' for 1250 free variables in 1872 posynomial inequalities. Solving took 0.515 seconds. Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000 Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000 Starting a sequence of GP solves for 25 free variables in 12 signomial constraints and for 1298 free variables in 1930 posynomial inequalities. Solving took 3.06 seconds and 4 GP solves. Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000 Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000 Using solver 'mosek_conif' for 1250 free variables in 1872 posynomial inequalities. Solving took 0.973 seconds. Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102553.9368 but bound is 150000.0000 Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.4924 but bound is 150000.0000 Starting a sequence of GP solves for 25 free variables in 12 signomial constraints and for 1298 free variables in 1930 posynomial inequalities. Solving took 4.88 seconds and 4 GP solves. Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103383.0715 but bound is 150000.0000 Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.7593 but bound is 150000.0000 Cloning into 'jho'... Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2) Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3) Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1) Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1) Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0) Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-9skbeovn Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-9skbeovn Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=f9f35fa65efdeef01abdbc498b41b1bfd2c689f557b2a8ba72a49d16502ed596 Stored in directory: /tmp/pip-ephem-wheel-cache-vgbnorg1/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734 Successfully built gpfit Running tests... ---------------------------------------------------------------------- /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 72.502s OK Generating XML reports... adding test for 'model/jho.py' adding test for 'model/print_perf.py' Starting a sequence of GP solves for 5 free variables in 6 signomial constraints and for 847 free variables in 2010 posynomial inequalities. Solving took 4.76 seconds and 4 GP solves. Starting a sequence of GP solves for 5 free variables in 6 signomial constraints and for 847 free variables in 2010 posynomial inequalities. Solving took 2.13 seconds and 4 GP solves. 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] = 26.622 design loiter speed [m/s] = 25.070 rotation speed at 55 lbs [m/s] = 18.185 rotation speed at 150 lbs [m/s] = 28.236 optimum loiter speed for min power, start of loiter [m/s] = 25.279 optimum loiter speed for min power, end of loiter [m/s] = 17.233 optimum cruise speed, inbound [m/s] = 25.637 optimum cruise speed, outbound [m/s] = 36.269 Starting a sequence of GP solves for 5 free variables in 6 signomial constraints and for 827 free variables in 1995 posynomial inequalities. Solving took 4.75 seconds and 4 GP solves. Max Speed [m/s]: 74.76 Starting a sequence of GP solves for 5 free variables in 6 signomial constraints and for 828 free variables in 1995 posynomial inequalities. Solving took 1.56 seconds and 4 GP solves. Max payload weight [lbf] = 28.083 Max take off weight [lbf] = 166.418 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] = 26.622 design loiter speed [m/s] = 25.070 rotation speed at 55 lbs [m/s] = 18.185 rotation speed at 150 lbs [m/s] = 28.236 optimum loiter speed for min power, start of loiter [m/s] = 25.279 optimum loiter speed for min power, end of loiter [m/s] = 17.233 optimum cruise speed, inbound [m/s] = 25.637 optimum cruise speed, outbound [m/s] = 36.269 Starting a sequence of GP solves for 5 free variables in 6 signomial constraints and for 827 free variables in 1995 posynomial inequalities. Solving took 2.93 seconds and 4 GP solves. Max Speed [m/s]: 74.76 Starting a sequence of GP solves for 5 free variables in 6 signomial constraints and for 828 free variables in 1995 posynomial inequalities. Solving took 1.82 seconds and 4 GP solves. Max payload weight [lbf] = 28.083 Max take off weight [lbf] = 166.417 Cloning into 'turbofan'... Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/turbofan Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.4.1) Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (0.9) Processing /home/jenkins/.cache/pip/wheels/c4/f0/ae/d4689c4532d1f111462ed6a884a7767d502e511ee65f0d8e1b/future-0.18.2-py3-none-any.whl Building wheels for collected packages: turbofan Building wheel for turbofan (setup.py): started Building wheel for turbofan (setup.py): finished with status 'done' Created wheel for turbofan: filename=turbofan-0.0.0.0-py3-none-any.whl size=43842 sha256=fb03fcedb4b92939df53e0ec2be8e19e139838830906393d813504057fa32652 Stored in directory: /tmp/pip-ephem-wheel-cache-0ym0dtj9/wheels/01/1a/ce/e04bd07c025725d0ce16795af296f318dddb7944ac26ee85e0 Successfully built turbofan Installing collected packages: future, turbofan Successfully installed future-0.18.2 turbofan-0.0.0.0 Running tests... ---------------------------------------------------------------------- . ---------------------------------------------------------------------- Ran 1 test in 1.330s OK Generating XML reports... adding test for 'turbofan/engine_test.py' Starting a sequence of GP solves for 27 free variables in 14 signomial constraints and for 244 free variables in 492 posynomial inequalities. GP Solve 1 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0743 seconds. Solved cost was 7.929e+13. GP Solve 2 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.045 seconds. Solved cost was 31.05. GP Solve 3 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0382 seconds. Solved cost was 10.15. GP Solve 4 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0479 seconds. Solved cost was 7.827. GP Solve 5 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0418 seconds. Solved cost was 7.281. GP Solve 6 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0472 seconds. Solved cost was 7.108. GP Solve 7 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0478 seconds. Solved cost was 7.029. GP Solve 8 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0455 seconds. Solved cost was 6.991. GP Solve 9 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0524 seconds. Solved cost was 6.973. GP Solve 10 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.038 seconds. Solved cost was 6.965. GP Solve 11 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0445 seconds. Solved cost was 6.96. GP Solve 12 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0356 seconds. Solved cost was 6.958. GP Solve 13 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0524 seconds. Solved cost was 6.957. Solving took 0.981 seconds and 13 GP solves. Cloning into 'solar'... Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2) Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1) Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3) Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1) Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0) Collecting git+https://github.com/convexengineering/gpfit.git Cloning https://github.com/convexengineering/gpfit.git to /tmp/pip-req-build-72dnbbga Running command git clone -q https://github.com/convexengineering/gpfit.git /tmp/pip-req-build-72dnbbga Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=265a917b6c1e8049ea9ac84022856e3e6e7c62cc19ba8a7682053d24c31a9528 Stored in directory: /tmp/pip-ephem-wheel-cache-rnw18qe2/wheels/b7/26/db/8d7891aa676f12ed7066b510187b6e45bad5a96ae3bebe4361 Successfully built gpfit Collecting git+https://github.com/convexengineering/gassolar.git Cloning https://github.com/convexengineering/gassolar.git to /tmp/pip-req-build-rfz6yvh2 Running command git clone -q https://github.com/convexengineering/gassolar.git /tmp/pip-req-build-rfz6yvh2 Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.4.1) Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0) Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4) Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2019.3) Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1) Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.14.0) Building wheels for collected packages: gassolar Building wheel for gassolar (setup.py): started Building wheel for gassolar (setup.py): finished with status 'done' Created wheel for gassolar: filename=gassolar-0.0.0.0-py3-none-any.whl size=4876521 sha256=6f6f59d9dba1f525d7e9f35495246cf21b6f641e5d3cdb235477fdf709dbd870 Stored in directory: /tmp/pip-ephem-wheel-cache-hbfdja9i/wheels/36/21/53/9226b28718e17dd1dade13626212b75280ee7731e785b1b943 Successfully built gassolar Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/solar Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (1.4.1) Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from solar==0.0.0.0) (1.0.0) Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (0.24.2) Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (0.1) Requirement already satisfied: gpkitmodels in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary (from solar==0.0.0.0) (0.0.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (0.9) Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (1.2.4) Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->solar==0.0.0.0) (2019.3) Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->solar==0.0.0.0) (2.8.1) Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2) Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas->solar==0.0.0.0) (1.14.0) Building wheels for collected packages: solar Building wheel for solar (setup.py): started Building wheel for solar (setup.py): finished with status 'done' Created wheel for solar: filename=solar-0.0.0.0-py3-none-any.whl size=14841 sha256=c3f25086fa2bab8dcb8f1cb583d43ea273f866b601b1a99ab8c132dddda0d031 Stored in directory: /tmp/pip-ephem-wheel-cache-8ku2rt5w/wheels/e1/f2/c8/c932a74a50c7c249cb629065554b78464951618c3ddeb074ec Successfully built solar Installing collected packages: solar Successfully installed solar-0.0.0.0 adding test for 'solar/sens_chart.py' adding test for 'solar/season.py' adding test for 'solar/npod_trade.py' N=1 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 980 free variables in 1300 posynomial inequalities. Solving took 5.11 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000 N=3 Starting a sequence of GP solves for 67 free variables in 23 signomial constraints and for 1032 free variables in 1384 posynomial inequalities. Solving took 1.95 seconds and 4 GP solves. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036209.6021 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006641.3990 but bound is 1000000.0000 N=5 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 1084 free variables in 1492 posynomial inequalities. Solving took 2.06 seconds and 4 GP solves. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329202.9037 but bound is 600000.0000 Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208149.0070 but bound is 1000000.0000 N=7 Starting a sequence of GP solves for 71 free variables in 27 signomial constraints and for 1136 free variables in 1624 posynomial inequalities. Solving took 2.72 seconds and 4 GP solves. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976138.7332 but bound is 600000.0000 Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.9154 but bound is 1000000.0000 N=9 Starting a sequence of GP solves for 73 free variables in 29 signomial constraints and for 1188 free variables in 1780 posynomial inequalities. Solving took 2.64 seconds and 4 GP solves. Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000 N=0 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 954 free variables in 1269 posynomial inequalities. Solving took 2.11 seconds and 4 GP solves. Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000 N=1 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 980 free variables in 1300 posynomial inequalities. Solving took 2.76 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632912.6445 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259328.3426 but bound is 1000000.0000 N=3 Starting a sequence of GP solves for 67 free variables in 23 signomial constraints and for 1032 free variables in 1384 posynomial inequalities. Solving took 3.2 seconds and 4 GP solves. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036204.1316 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006644.9103 but bound is 1000000.0000 N=5 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 1084 free variables in 1492 posynomial inequalities. Solving took 2.02 seconds and 4 GP solves. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329205.1277 but bound is 600000.0000 Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208151.0830 but bound is 1000000.0000 N=7 Starting a sequence of GP solves for 71 free variables in 27 signomial constraints and for 1136 free variables in 1624 posynomial inequalities. Solving took 2.18 seconds and 4 GP solves. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976142.3869 but bound is 600000.0000 Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.1959 but bound is 1000000.0000 N=9 Starting a sequence of GP solves for 73 free variables in 29 signomial constraints and for 1188 free variables in 1780 posynomial inequalities. Solving took 2.86 seconds and 4 GP solves. Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007400.1464 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092545.0739 but bound is 1000000.0000 N=0 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 954 free variables in 1269 posynomial inequalities. Solving took 2.65 seconds and 4 GP solves. Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119117.2567 but bound is 600000.0000 Running tests... ---------------------------------------------------------------------- /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) ./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 6 tests in 99.427s OK Generating XML reports... Using solver 'mosek_cli' for 7672 free variables in 10814 posynomial inequalities. Solving took 3.66 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839120.8369 but bound is 600000.0000 Using solver 'mosek_conif' for 7672 free variables in 10814 posynomial inequalities. Solving took 4.62 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839125.4283 but bound is 600000.0000 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 954 free variables in 1269 posynomial inequalities. Solving took 2.47 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000 Starting a sequence of GP solves for 63 free variables in 21 signomial constraints and for 954 free variables in 1269 posynomial inequalities. Solving took 4.26 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119119.3241 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. Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2) Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1) Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1) Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3) Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0) Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-tqs1a4re Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-tqs1a4re Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4) Building wheels for collected packages: gpfit Building wheel for gpfit (setup.py): started Building wheel for gpfit (setup.py): finished with status 'done' Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=b1ec549546bc9264a97831cbf7703d63e77446310bba0fe4aa491780f968a92e Stored in directory: /tmp/pip-ephem-wheel-cache-s4qu27p6/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734 Successfully built gpfit Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary Requirement already satisfied: numpy>=1.12 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (1.4.1) Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (0.18.2) Building wheels for collected packages: gpkitmodels Building wheel for gpkitmodels (setup.py): started Building wheel for gpkitmodels (setup.py): finished with status 'done' Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-py3-none-any.whl size=66127 sha256=4f59190a4e00fceb961c15728cfbd8a8de731df6427803f79d45b41cf1e37584 Stored in directory: /tmp/pip-ephem-wheel-cache-06pf6lld/wheels/13/41/65/4f4c33e470088012ef2f1e56d3f2bcd1a9166f00e015d9b59e Successfully built gpkitmodels Installing collected packages: gpkitmodels Attempting uninstall: 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... ---------------------------------------------------------------------- ../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 52.182s 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_cli' for 11 free variables in 14 posynomial inequalities. Solving took 0.85 seconds. Using solver 'mosek_conif' for 11 free variables in 14 posynomial inequalities. Solving took 0.0591 seconds. Using solver 'mosek_cli' for 9 free variables in 15 posynomial inequalities. Solving took 1.43 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 1.66 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.906 seconds. Starting a sequence of GP solves for 42 free variables in 11 signomial constraints and for 129 free variables in 211 posynomial inequalities. Solving took 30.9 seconds and 16 GP solves. Using solver 'mosek_conif' for 9 free variables in 15 posynomial inequalities. Solving took 0.0227 seconds. Using solver 'mosek_conif' for 25 free variables in 35 posynomial inequalities. Solving took 0.0279 seconds. Using solver 'mosek_conif' for 25 free variables in 35 posynomial inequalities. Solving took 0.0282 seconds. Starting a sequence of GP solves for 42 free variables in 11 signomial constraints and for 129 free variables in 211 posynomial inequalities. Solving took 0.968 seconds and 16 GP solves. Using solver 'mosek_cli' for 13 free variables in 16 posynomial inequalities. Solving took 0.161 seconds. Starting a sequence of GP solves for 42 free variables in 11 signomial constraints and for 117 free variables in 190 posynomial inequalities. Solving took 2.86 seconds and 11 GP solves. Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000 Using solver 'mosek_conif' for 13 free variables in 16 posynomial inequalities. Solving took 0.0259 seconds. Starting a sequence of GP solves for 42 free variables in 11 signomial constraints and for 117 free variables in 190 posynomial inequalities. Solving took 0.796 seconds and 11 GP solves. Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742 Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619806.6743 but bound is 700000.0000 Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000 Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000 Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000 Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000 Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000 Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3820 but bound is 1000000.0000 Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.8981 but bound is 1000000.0000 Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.0604 but bound is 1000000.0000 Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860716.7688 but bound is 1000000.0000 Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853894.7216 but bound is 1000000.0000 Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.7847 but bound is 1000000.0000 Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884889.9591 but bound is 700000.0000 Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000 Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.0366 but bound is 700000.0000 Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910418.6981 but bound is 700000.0000 SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Starting a sequence of GP solves for 3 free variables in 1 signomial constraints and for 21 free variables in 22 posynomial inequalities. GP Solve 1 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.199 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.169 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.167 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.102 seconds. Solved cost was 4536. Solving took 0.645 seconds and 4 GP solves. Starting a sequence of GP solves for 3 free variables in 1 signomial constraints and for 21 free variables in 22 posynomial inequalities. GP Solve 1 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.035 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0177 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0195 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0309 seconds. Solved cost was 4536. Solving took 0.11 seconds and 4 GP solves. Cloning into 'eVTOL'... Running tests... ---------------------------------------------------------------------- .. ---------------------------------------------------------------------- Ran 2 tests in 5.740s OK Generating XML reports... adding test for 'models/model_tests.py' ---------------------------------------------------------------------- Ran 241 tests in 186.342s OK 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_cli # Trying to run mskexpopt... # Calling 'mskexpopt' ## ### CALL BEGINS ### CALL ENDS ## # `mskexpopt` is not in system path, let's try adding it. # Trying to run mskexpopt... # Calling 'mskexpopt' ## ### CALL BEGINS ### CALL ENDS ## # Found mosek_cli in /home/jenkins/mosek/8/tools/platform/linux64x86/bin # # # Looking for mosek_conif # Trying to import mosek... # Found mosek_conif in Python path # # # Looking for cvxopt # Trying to import cvxopt... # Found cvxopt in Python path # ...finished building gpkit. Replaced found solvers (['mosek_cli', 'mosek_conif', 'cvxopt']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif) Found the following solvers: mosek_cli, mosek_conif # Replacing directory env GPkit is now installed with solver(s) ['mosek_cli', 'mosek_conif'] 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', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/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/robust.git'] attempt 1 SETTINGS defaultdict(<class 'str'>, {}) calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 attempt 2 attempt 3 attempt 4 attempt 5 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git'] attempt 1 SETTINGS defaultdict(<class 'str'>, {}) calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git'] attempt 1 SETTINGS defaultdict(<class 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'}) calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/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(<class 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'}) calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/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(<class 'str'>, {'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt, mosek_cli'}) calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/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(<class 'str'>, {'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'}) calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gpfit.git'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gassolar.git'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/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(<class 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'}) calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/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(<class 'str'>, {'skipsolvers': 'cvxopt'}) [Execution node] check if [reynolds] is in [[windows10x64, windows7x64]] Run condition [Execution node ] preventing perform for step [Execute Windows batch command] Recording test results [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is used... [WS-CLEANUP] done Finished: SUCCESS