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Started by upstream project "CE_gpkit_PR_research_models" build number 417 originally caused by: GitHub pull request #1463 of commit d9b2e3fb265e5cdc4d01a7412676886d8fa102d9, 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 14ff755e39249c738a289db848b0168c1889ef82 (refs/remotes/origin/pr/1463/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 14ff755e39249c738a289db848b0168c1889ef82 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 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 origin/pr/1003/head Seen branch in repository 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Revision 14ff755e39249c738a289db848b0168c1889ef82 (origin/pr/1463/merge, origin/master) > git config core.sparsecheckout # timeout=10 > git checkout -f 14ff755e39249c738a289db848b0168c1889ef82 # timeout=3 Commit message: "Merge d9b2e3fb265e5cdc4d01a7412676886d8fa102d9 into 7d36239211031635fc6683dbec27db68c0bc9335" 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="python3.5+" href="https://github.com/convexengineering/gpkit/pull/1463">PR 1463</a>: python3.5+ [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/jenkins1190679048508920783.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 +++ python -c '__import__("mosek").Env()' +++ 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 0.01. r: 0 status: 0 Problem Name : Objective sense : min Type : LO (linear optimization problem) Constraints : 1 Cones : 0 Scalar variables : 5000 Matrix variables : 0 Integer variables : 0 Optimizer started. Presolve started. Eliminator started. Freed constraints in eliminator : 0 Eliminator terminated. Eliminator 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: 0.01 ************************************ A license was checked out correctly. ************************************ +++ export 'GPKITSOLVERS=mosek_cli, mosek_conif' +++ GPKITSOLVERS='mosek_cli, mosek_conif' +++ COVERAGE_OMIT=gpkit/_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 pytz>=2011k Using cached pytz-2019.3-py2.py3-none-any.whl (509 kB) Collecting python-dateutil>=2.5.0 Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting numpy>=1.12.0 Using cached numpy-1.18.1-cp35-cp35m-manylinux1_x86_64.whl (19.9 MB) Collecting six>=1.5 Using cached six-1.14.0-py2.py3-none-any.whl (10 kB) Installing collected packages: pytz, six, python-dateutil, numpy, 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) Requirement already satisfied, skipping upgrade: numpy>=1.10.0 in ./venv2_gpkit/lib/python3.5/site-packages (from matplotlib) (1.18.1) Collecting kiwisolver>=1.0.1 Using cached kiwisolver-1.1.0-cp35-cp35m-manylinux1_x86_64.whl (90 kB) Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in ./venv2_gpkit/lib/python3.5/site-packages (from matplotlib) (2.8.1) 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: setuptools in ./venv2_gpkit/lib/python3.5/site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0) Requirement already satisfied, skipping upgrade: six>=1.5 in ./venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.1->matplotlib) (1.14.0) Installing collected packages: kiwisolver, cycler, pyparsing, 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 28.057s 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! {'default_solver': 'mosek_cli', 'installed_solvers': ['mosek_cli', 'mosek_conif'], 'just built!': True, 'mosek_bin_dir': '/home/jenkins/mosek/8/tools/platform/linux64x86/bin'} ++ 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==0.9.1.0) (1.18.1) Requirement already satisfied: pint<0.10,>=0.8.1 in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==0.9.1.0) (0.9) Requirement already satisfied: scipy in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==0.9.1.0) (1.4.1) Requirement already satisfied: ad in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==0.9.1.0) (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) (0.9.1.0) 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) (0.9.1.0) 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) (0.9.1.0) 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) (0.9.1.0) 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) (0.9.1.0) 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. Final solution let signomial constraints slacken by 1.9%. 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 0.057%. 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 0.13% on GP solve 5. 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 0.2% 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 0.0014% 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 0.027% 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 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 12% 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 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 0.019% 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 0.91% 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 0.045%. 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 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 0.03% 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 0.026% 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 0.3% 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. SGP not convergent: Cost rose by 0.05% on GP solve 5. 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 0.09% 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 12% 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 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 0.036% 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 0.3% 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. 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 12% 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 139.940s OK Generating XML reports... . Running tests... ---------------------------------------------------------------------- .......................................... ---------------------------------------------------------------------- Ran 42 tests in 73.184s OK Generating XML reports... . ---------------------------------------------------------------------- Ran 2 tests in 213.524s OK Generating XML reports... 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 0.014% 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 0.016%. 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 0.22% 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 0.21% 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 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 12% 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. Cloning into 'shopping'... Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 0.308s OK Generating XML reports... adding test for 'test.py' Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 0.0714 seconds. Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 0.0879 seconds. Using solver 'mosek_conif' for 25 free variables in 40 posynomial inequalities. Solving took 0.022 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-jl_k5w47 Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-jl_k5w47 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) (0.9.1.0) 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=4cabf765606abd3439217cfad51d254ba1fb044dfaf11e7f44e133528285b217 Stored in directory: /tmp/pip-ephem-wheel-cache-pqi1n4ro/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) (0.9.1.0) 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=2276abf216fd7af37cdcf31e4fa811856cb78f02e8ad68d61d27ae7badd46d48 Stored in directory: /tmp/pip-ephem-wheel-cache-53ibpba6/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 21.784s 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 0.224 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 0.871 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 0.415 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 0.802 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 0.364 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 2.26 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 0.456 seconds. Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102504.4386 but bound is 150000.0000 Warning: Variable Mission.FlightSegment1.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 101249.1196 but bound is 150000.0000 Warning: Variable Mission.FlightSegment2.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99980.0546 but bound is 150000.0000 Warning: Variable Mission.FlightSegment3.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99442.9292 but bound is 150000.0000 Warning: Variable Mission.FlightSegment4.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99140.9273 but bound is 150000.0000 Warning: Variable Mission.FlightSegment6.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99159.5493 but bound is 150000.0000 Warning: Variable Mission.FlightSegment7.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99201.8001 but bound is 150000.0000 Warning: Variable Mission.FlightSegment8.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99135.8591 but bound is 150000.0000 Warning: Variable Mission.FlightSegment9.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99607.0777 but bound is 150000.0000 Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102561.4996 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 4.61 seconds and 4 GP solves. Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103377.9309 but bound is 150000.0000 Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.4758 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-y7pmjlbn Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-y7pmjlbn 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) (0.9.1.0) 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=1fc84e62b984632dd6f072a1d8cec4ee6fc09bec07cc142853c349c52d877716 Stored in directory: /tmp/pip-ephem-wheel-cache-qglhi_by/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 27.828s 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 1.76 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 1.69 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 2.04 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 1.44 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 1.63 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 1.72 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=6a2644624913b59dc1850a3d0d5eb932a193ee6db7a68da0b40f04dfc5f60c26 Stored in directory: /tmp/pip-ephem-wheel-cache-6ar87_2g/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 0.984s 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 0.0732 seconds. Solved cost was 7.928e+13. GP Solve 2 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0363 seconds. Solved cost was 30.34. GP Solve 3 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0291 seconds. Solved cost was 10.13. GP Solve 4 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0306 seconds. Solved cost was 7.831. GP Solve 5 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0305 seconds. Solved cost was 7.284. GP Solve 6 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0299 seconds. Solved cost was 7.109. GP Solve 7 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0294 seconds. Solved cost was 7.029. GP Solve 8 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0276 seconds. Solved cost was 6.992. GP Solve 9 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0295 seconds. Solved cost was 6.974. GP Solve 10 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0267 seconds. Solved cost was 6.965. GP Solve 11 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0275 seconds. Solved cost was 6.96. GP Solve 12 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0292 seconds. Solved cost was 6.958. GP Solve 13 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0263 seconds. Solved cost was 6.957. Solving took 0.696 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-qumdav2p Running command git clone -q https://github.com/convexengineering/gpfit.git /tmp/pip-req-build-qumdav2p 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) (0.9.1.0) 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=f6c4ec5fcdede7541e6a018d248d7284cbf4d564f19df1ba263b5ef1d9bffc77 Stored in directory: /tmp/pip-ephem-wheel-cache-a7mdqh4z/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-xfis6s4a Running command git clone -q https://github.com/convexengineering/gassolar.git /tmp/pip-req-build-xfis6s4a 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) (0.9.1.0) 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=cffae687ef0b936468989375db6d7fe777014fb13bd856f31f34f75597fb9d64 Stored in directory: /tmp/pip-ephem-wheel-cache-c_rdl0vb/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) (0.9.1.0) 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=14804 sha256=e0f238a40e9446a22ee8bc45990656a12415cb74962a3d6a4827a4a85780aa26 Stored in directory: /tmp/pip-ephem-wheel-cache-bt99mou1/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 1.71 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 1.73 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 1.65 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 2.14 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 2.32 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 2.2 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 2.34 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 1632913.7017 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259328.4418 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 2.68 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 1036204.3842 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006645.0936 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 2.68 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 1329205.4486 but bound is 600000.0000 Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208151.3570 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 2.2 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 976141.7936 but bound is 600000.0000 Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.0316 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 2.54 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 1007400.2078 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092545.2490 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 2.37 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 1119119.4300 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/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: divide by zero encountered in true_divide 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) /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/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: divide by zero encountered in true_divide 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 298.838s OK Generating XML reports... Using solver 'mosek_cli' for 14852 free variables in 21009 posynomial inequalities. Solving took 4.17 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 671708.6709 but bound is 600000.0000 Using solver 'mosek_cli' for 14852 free variables in 21028 posynomial inequalities. Solving took 4.18 seconds. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 729182.9940 but bound is 600000.0000 Using solver 'mosek_cli' for 14852 free variables in 21002 posynomial inequalities. Solving took 4.09 seconds. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 802959.8567 but bound is 600000.0000 Using solver 'mosek_cli' for 7672 free variables in 10814 posynomial inequalities. Solving took 2.83 seconds. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839120.8369 but bound is 600000.0000 Using solver 'mosek_conif' for 14852 free variables in 21009 posynomial inequalities. Solving took 13.7 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.3227 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 671709.9211 but bound is 600000.0000 Using solver 'mosek_conif' for 14852 free variables in 21028 posynomial inequalities. Solving took 8.97 seconds. Solution check warning: Dual cost 370.92418651184914 does not match primal cost 369.9893809553516 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2812 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 729188.9833 but bound is 600000.0000 Using solver 'mosek_conif' for 14852 free variables in 21002 posynomial inequalities. Solving took 13.9 seconds. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2258 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 802965.5169 but bound is 600000.0000 Using solver 'mosek_conif' for 7672 free variables in 10814 posynomial inequalities. Solving took 3.89 seconds. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839125.8243 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 3.21 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 2.44 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 1119118.8602 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: 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: 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: 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/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-1gdzenls Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-1gdzenls 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) (0.9.1.0) 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=26bcd22c5f386844f5e5b8a2dfeea2f36a04795ce8c59903bfe57a68bbfe39a0 Stored in directory: /tmp/pip-ephem-wheel-cache-cy1tqu8c/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=5d0989b07621771c82b3f33b56eb1a2523f24f5498b890b24882ef5a23f4bdbf Stored in directory: /tmp/pip-ephem-wheel-cache-z0hwgpjn/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 20.219s 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 0.201 seconds. Using solver 'mosek_conif' for 11 free variables in 14 posynomial inequalities. Solving took 0.0722 seconds. Using solver 'mosek_cli' for 9 free variables in 15 posynomial inequalities. Solving took 0.395 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.139 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.144 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 4.56 seconds and 16 GP solves. Using solver 'mosek_conif' for 9 free variables in 15 posynomial inequalities. Solving took 0.0176 seconds. Using solver 'mosek_conif' for 25 free variables in 35 posynomial inequalities. Solving took 0.0252 seconds. Using solver 'mosek_conif' for 25 free variables in 35 posynomial inequalities. Solving took 0.0241 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 1.47 seconds and 16 GP solves. Using solver 'mosek_cli' for 13 free variables in 16 posynomial inequalities. Solving took 0.358 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 2.7 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 0.0347 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 1.28 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 1620037.5661 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 2499787.8980 but bound is 1000000.0000 Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.3138 but bound is 1000000.0000 Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.2116 but bound is 1000000.0000 Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853895.3950 but bound is 1000000.0000 Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853895.6056 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 1910419.5044 but bound is 700000.0000 Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.2180 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 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. 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 0.15 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.156 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0987 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.114 seconds. Solved cost was 4536. Solving took 0.529 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 0.0579 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.109 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.106 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.158 seconds. Solved cost was 4536. Solving took 0.443 seconds and 4 GP solves. Cloning into 'eVTOL'... Running tests... ---------------------------------------------------------------------- .. ---------------------------------------------------------------------- Ran 2 tests in 5.761s OK Generating XML reports... adding test for 'models/model_tests.py' ---------------------------------------------------------------------- Ran 241 tests in 29.809s 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'>, {'gpkit-models branch': 'master', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', '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'>, {'gpkit-models branch': 'master', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', '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'>, {'gpkit-models branch': 'master', 'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', '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