Started by upstream project "CE_gplibrary_Push_research_models" build number 220 originally caused by: Started by upstream project "CE_gpkit_Push_unit_tests" build number 720 originally caused by: Started by GitHub push by bqpd Started by GitHub push by bqpd Running as SYSTEM [EnvInject] - Loading node environment variables. Building remotely on macys_VM in workspace /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek No credentials specified Wiping out workspace first. Cloning the remote Git repository Cloning repository https://github.com/convexengineering/gplibrary > git init /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > git --version # timeout=10 > git fetch --tags --progress -- https://github.com/convexengineering/gplibrary +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gplibrary # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gplibrary > git fetch --tags --progress -- https://github.com/convexengineering/gplibrary +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10 Checking out Revision bfe797f6b5e866938c9dfe2b4d64b8d618331ff2 (origin/master) > git config core.sparsecheckout # timeout=10 > git checkout -f bfe797f6b5e866938c9dfe2b4d64b8d618331ff2 # timeout=3 Commit message: "preparing for convexengineering/gpkit#1463" > git rev-list --no-walk bfe797f6b5e866938c9dfe2b4d64b8d618331ff2 # timeout=10 Run condition [Execution node ] enabling prebuild for step [Execute shell] Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command] [Execution node] check if [macys_VM] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]] Run condition [Execution node ] enabling perform for step [Execute shell] [mosek] $ /bin/bash -xe /var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/jenkins6648820285159335895.sh + git clone ssh://acdl.mit.edu/home/svnroot/JenkinsGPkit Cloning into 'JenkinsGPkit'... + source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/gplibrary_models.sh ++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/all_machines.sh +++ [[ macys_VM == *macys* ]] +++ export PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ +++ PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ +++ virtualenv --python=python3 /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit Using base prefix '/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7' New python executable in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/python3.7 Also creating executable in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/python Installing setuptools, pip, wheel...done. /Library/Python/2.7/site-packages/virtualenv.py:1047: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp Running virtualenv with interpreter /usr/local/bin/python3 +++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/activate ++++ deactivate nondestructive ++++ unset -f pydoc ++++ '[' -z '' ']' ++++ '[' -z '' ']' ++++ '[' -n /bin/bash ']' ++++ hash -r ++++ '[' -z '' ']' ++++ unset VIRTUAL_ENV ++++ '[' '!' nondestructive = nondestructive ']' ++++ VIRTUAL_ENV=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit ++++ export VIRTUAL_ENV ++++ _OLD_VIRTUAL_PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ ++++ PATH=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ ++++ export PATH ++++ '[' -z '' ']' ++++ '[' -z '' ']' ++++ _OLD_VIRTUAL_PS1= ++++ '[' x '!=' x ']' +++++ basename /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit ++++ PS1='(venv2_gpkit) ' ++++ export PS1 ++++ alias pydoc ++++ '[' -n /bin/bash ']' ++++ hash -r +++ ls /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek EXTERNALTESTS EXTERNALTESTSreadme.md JenkinsGPkit LICENSE README.md TESTCONFIG TESTS gpkitmodels researchmodeltests.sh runtests.sh setup.py venv2_gpkit ++++ which pip +++ export PIP=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip +++ PIP=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip +++ pip_install pip +++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade pip Requirement already up-to-date: pip in ./venv2_gpkit/lib/python3.7/site-packages (20.0.2) ++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/mosek_installs.sh +++ [[ mosek == mosek ]] +++ [[ macys_VM == *reynolds* ]] +++ [[ macys_VM == *macys* ]] +++ export PATH=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin +++ PATH=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin +++ export DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin +++ DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin +++ python /Users/jenkins/mosek/9.1/tools/platform/osx64x86/python/3/setup.py install running install running build running build_py running build_ext copying mosek/_msk.abi3.so -> build/lib.macosx-10.13-x86_64-3.7/mosek copying mosek/fusion/impl/fragments.abi3.so -> build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl running install_lib creating /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek creating /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion creating /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl/fragments.abi3.so -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl/__init__.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl/_implementation.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/__init__.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/Utils.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion copying build/lib.macosx-10.13-x86_64-3.7/mosek/__init__.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek copying build/lib.macosx-10.13-x86_64-3.7/mosek/_msk.abi3.so -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/__init__.py to __init__.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/_implementation.py to _implementation.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/__init__.py to __init__.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/Utils.py to Utils.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/__init__.py to __init__.cpython-37.pyc running install_egg_info Writing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/Mosek-9.1.11-py3.7.egg-info Fixing library paths copying /Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin/libcilkrts.5.dylib -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/ copying /Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin/libmosek64.9.1.dylib -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/ Installing preloader module writing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/_mskpreload.py +++ msktestlic Mosek license manager: License path: /Users/jenkins/mosek/mosek.lic Mosek license manager: Checkout license feature 'PTS' from flexlm. Mosek license manager: Checkout time 0.01. r: 0 status: 0 Problem Name : Objective sense : min Type : LO (linear optimization problem) Constraints : 1 Cones : 0 Scalar variables : 5000 Matrix variables : 0 Integer variables : 0 Optimizer started. Presolve started. Eliminator started. Freed constraints in eliminator : 0 Eliminator terminated. Eliminator 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: 0.00 ************************************ A license was checked out correctly. ************************************ +++ export 'GPKITSOLVERS=mosek_cli, mosek_conif' +++ GPKITSOLVERS='mosek_cli, mosek_conif' +++ COVERAGE_OMIT=gpkit/solvers/cvxopt.py ++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/cvxopt_installs.sh +++ [[ mosek == cvxopt ]] ++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/pip_installs_base.sh +++ pip_install ad +++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade ad Processing /Users/jenkins/Library/Caches/pip/wheels/05/ca/c3/e346f6d92289be5bcf02827cd5602dac6c8dc74ae3a846e34d/ad-1.3.2-py3-none-any.whl Installing collected packages: ad Successfully installed ad-1.3.2 +++ pip_install xmlrunner +++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade xmlrunner Processing /Users/jenkins/Library/Caches/pip/wheels/bb/ae/64/7394a8365bd8e7bf4c49b01d80c0260d1c1ec975183ac1ce37/xmlrunner-1.7.7-py3-none-any.whl Installing collected packages: xmlrunner Successfully installed xmlrunner-1.7.7 +++ pip_install pandas +++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade pandas Collecting pandas Using cached pandas-1.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (9.8 MB) Collecting pytz>=2017.2 Using cached pytz-2019.3-py2.py3-none-any.whl (509 kB) Collecting python-dateutil>=2.6.1 Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting numpy>=1.13.3 Using cached numpy-1.18.1-cp37-cp37m-macosx_10_9_x86_64.whl (15.1 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-1.0.1 python-dateutil-2.8.1 pytz-2019.3 six-1.14.0 +++ pip_install matplotlib +++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade matplotlib Collecting matplotlib Using cached matplotlib-3.1.3-cp37-cp37m-macosx_10_9_x86_64.whl (13.2 MB) Collecting cycler>=0.10 Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 Using cached pyparsing-2.4.6-py2.py3-none-any.whl (67 kB) Collecting kiwisolver>=1.0.1 Using cached kiwisolver-1.1.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (113 kB) Requirement already satisfied, skipping upgrade: numpy>=1.11 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (1.18.1) Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (2.8.1) Requirement already satisfied, skipping upgrade: six in ./venv2_gpkit/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.14.0) Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0) Installing collected packages: cycler, pyparsing, kiwisolver, matplotlib Successfully installed cycler-0.10.0 kiwisolver-1.1.0 matplotlib-3.1.3 pyparsing-2.4.6 +++ pip_install coverage +++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade coverage Collecting coverage Using cached coverage-5.0.3-cp37-cp37m-macosx_10_13_x86_64.whl (202 kB) Installing collected packages: coverage Successfully installed coverage-5.0.3 ++++ which coverage +++ export COVERAGE=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/coverage +++ COVERAGE=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/coverage ++ pip_install numpy ++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade numpy Requirement already up-to-date: numpy in ./venv2_gpkit/lib/python3.7/site-packages (1.18.1) ++ pip_install scipy ++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade scipy Collecting scipy Using cached scipy-1.4.1-cp37-cp37m-macosx_10_6_intel.whl (28.4 MB) Requirement already satisfied, skipping upgrade: numpy>=1.13.3 in ./venv2_gpkit/lib/python3.7/site-packages (from scipy) (1.18.1) Installing collected packages: scipy Successfully installed scipy-1.4.1 ++ pip_install pint ++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade pint Collecting pint Using cached Pint-0.11-py2.py3-none-any.whl (186 kB) Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python3.7/site-packages (from pint) (45.2.0) Installing collected packages: pint Successfully installed pint-0.11 ++ git clone --depth 1 https://github.com/convexengineering/gpkit.git /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit Cloning into '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit'... ++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install -v --no-cache-dir --no-deps -e /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit Non-user install because user site-packages disabled Created temporary directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-km_ilfq9 Created temporary directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-4c2k0brg Initialized build tracking at /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-4c2k0brg Created build tracker: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-4c2k0brg Entered build tracker: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-4c2k0brg Created temporary directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-install-gv43dndu Obtaining file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit Added file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit to build tracker '/private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-4c2k0brg' Running setup.py (path:/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/setup.py) egg_info for package from file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit Running command python setup.py egg_info running egg_info creating gpkit.egg-info writing gpkit.egg-info/PKG-INFO writing dependency_links to gpkit.egg-info/dependency_links.txt writing requirements to gpkit.egg-info/requires.txt writing top-level names to gpkit.egg-info/top_level.txt writing manifest file 'gpkit.egg-info/SOURCES.txt' reading manifest file 'gpkit.egg-info/SOURCES.txt' writing manifest file 'gpkit.egg-info/SOURCES.txt' Source in ./gpkit has version 1.0.0, which satisfies requirement gpkit==1.0.0 from file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit Removed gpkit==1.0.0 from file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit from build tracker '/private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-4c2k0brg' Installing collected packages: gpkit Running setup.py develop for gpkit Running command /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/python -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/setup.py'"'"'; __file__='"'"'/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' develop --no-deps running develop running egg_info writing gpkit.egg-info/PKG-INFO writing dependency_links to gpkit.egg-info/dependency_links.txt writing requirements to gpkit.egg-info/requires.txt writing top-level names to gpkit.egg-info/top_level.txt reading manifest file 'gpkit.egg-info/SOURCES.txt' writing manifest file 'gpkit.egg-info/SOURCES.txt' running build_ext Creating /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gpkit.egg-link (link to .) Adding gpkit 1.0.0 to easy-install.pth file Installed /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit Successfully installed gpkit Cleaning up... 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check 137 links for project 'pip': discarding no candidates ++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/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__)' 0.11 +++ python -c 'import gpkit; print(gpkit.settings)' /bin/sh: mskexpopt: command 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.] ....................E..........................................................E..........................................................................................................F..............................................EE...... ====================================================================== ERROR: test_quantity_sub (gpkit.tests.t_sub.TestModelSubs) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/t_sub.py", line 115, in test_quantity_sub self.assertRaises(ValueError, x.sub, {x: 1*gpkit.ureg.N}) File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 756, in assertRaises return context.handle('assertRaises', args, kwargs) File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 178, in handle callable_obj(*args, **kwargs) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/variables.py", line 83, in sub return Monomial.sub(self, *args, **kwargs) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 170, in sub return Signomial(self.hmap.sub(substitutions, self.varkeys), File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/map.py", line 135, in sub cval = cval.to(vk.units or DIMLESS_QUANTITY).magnitude File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 591, in to magnitude = self._convert_magnitude_not_inplace(other, *contexts, **ctx_kwargs) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 540, in _convert_magnitude_not_inplace return self._REGISTRY.convert(self._magnitude, self._units, other) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 925, in convert return self._convert(value, src, dst, inplace) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 1762, in _convert return super()._convert(value, src, dst, inplace) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 1376, in _convert return super()._convert(value, src, dst, inplace) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 958, in _convert raise DimensionalityError(src, dst, src_dim, dst_dim) pint.errors.DimensionalityError: Cannot convert from 'newton' ([length] * [mass] / [time] ** 2) to 'centimeter' ([length]) ====================================================================== ERROR: test_init (gpkit.tests.t_constraints.TestMonomialEquality) Test initialization via both operator overloading and __init__ ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 48, in of_division return self.division_cache[key] KeyError: (4379566392, 4636548048) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 55, in of_division self.division_cache[key] = float(conversion) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__ raise DimensionalityError(self._units, "dimensionless") pint.errors.DimensionalityError: Cannot convert from '1 / foot' to 'dimensionless' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/t_constraints.py", line 155, in test_init self.assertRaises(ValueError, MonomialEquality, x, y) File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 756, in assertRaises return context.handle('assertRaises', args, kwargs) File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 178, in handle callable_obj(*args, **kwargs) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 516, in __init__ self.unsubbed = self._gen_unsubbed(self.left, self.right) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 536, in _gen_unsubbed l_over_r = unsubbed(self, left, right) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 465, in _gen_unsubbed m_c *= units.of_division(m_gt, p_lt) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 57, in of_division raise DimensionalityError(numerator, denominator) pint.errors.DimensionalityError: Cannot convert from 'y' to 'x [ft]' ====================================================================== ERROR: test_water_tank_mosek_cli (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 48, in of_division return self.division_cache[key] KeyError: (4669031312, 4647965136) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 55, in of_division self.division_cache[key] = float(conversion) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__ raise DimensionalityError(self._units, "dimensionless") pint.errors.DimensionalityError: Cannot convert from 'meter ** 3 / kilogram' to 'dimensionless' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 94, in test imported[name] = importlib.import_module(name) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1006, in _gcd_import File "", line 983, in _find_and_load File "", line 967, in _find_and_load_unlocked File "", line 677, in _load_unlocked File "", line 728, in exec_module File "", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/docs/source/examples/water_tank.py", line 11, in bad_monomial_equality = (M == V) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 342, in __eq__ return MonomialEquality(self, other) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 516, in __init__ self.unsubbed = self._gen_unsubbed(self.left, self.right) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 536, in _gen_unsubbed l_over_r = unsubbed(self, left, right) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 465, in _gen_unsubbed m_c *= units.of_division(m_gt, p_lt) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 57, in of_division raise DimensionalityError(numerator, denominator) pint.errors.DimensionalityError: Cannot convert from 'V [m³]' to 'M [kg]' ====================================================================== ERROR: test_water_tank_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 48, in of_division return self.division_cache[key] KeyError: (4669031312, 4647965136) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 55, in of_division self.division_cache[key] = float(conversion) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__ raise DimensionalityError(self._units, "dimensionless") pint.errors.DimensionalityError: Cannot convert from 'meter ** 3 / kilogram' to 'dimensionless' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 94, in test imported[name] = importlib.import_module(name) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1006, in _gcd_import File "", line 983, in _find_and_load File "", line 967, in _find_and_load_unlocked File "", line 677, in _load_unlocked File "", line 728, in exec_module File "", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/docs/source/examples/water_tank.py", line 11, in bad_monomial_equality = (M == V) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 342, in __eq__ return MonomialEquality(self, other) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 516, in __init__ self.unsubbed = self._gen_unsubbed(self.left, self.right) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 536, in _gen_unsubbed l_over_r = unsubbed(self, left, right) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 465, in _gen_unsubbed m_c *= units.of_division(m_gt, p_lt) File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 57, in of_division raise DimensionalityError(numerator, denominator) pint.errors.DimensionalityError: Cannot convert from 'V [m³]' to 'M [kg]' ====================================================================== FAIL: test_units_sub (gpkit.tests.t_solution_array.TestSolutionArray) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/t_solution_array.py", line 76, in test_units_sub self.assertEqual(sol(Tmin), tminsub) AssertionError: != ---------------------------------------------------------------------- Ran 241 tests in 23.058s FAILED (failures=1, errors=4) 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 /Users/jenkins/mosek/8/tools/platform/osx64x86/bin # # # Looking for mosek_conif # Trying to import mosek... # Found mosek_conif in Python path # # # Looking for cvxopt # Trying to import cvxopt... # Did not find # cvxopt ...finished building gpkit. Replaced found solvers (['mosek_cli', 'mosek_conif']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif) Found the following solvers: mosek_cli, mosek_conif # Replacing directory env GPkit is now installed with solver(s) ['mosek_cli', 'mosek_conif'] To incorporate new solvers at a later date, run `gpkit.build()`. If any tests didn't pass, please post the output above (starting from "Found no installed solvers, beginning a build.") to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new so we can prevent others from having these errors. The same goes for any other bugs you encounter with GPkit: send 'em our way, along with any interesting models, speculative features, comments, discussions, or clarifications you feel like sharing. Finally, we hope you find our documentation (https://gpkit.readthedocs.io/) and engineering-design models (https://github.com/convexengineering/gplibrary/) to be useful resources for your own applications. Enjoy! {'installed_solvers': ['mosek_cli', 'mosek_conif'], 'mosek_bin_dir': '/Users/jenkins/mosek/8/tools/platform/osx64x86/bin', 'default_solver': 'mosek_cli', 'just built!': True} ++ 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, ingpkitmodels=True)' Obtaining file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek Installing collected packages: gpkitmodels Running setup.py develop for gpkitmodels Successfully installed gpkitmodels Cloning into 'robust'... Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Running tests... ---------------------------------------------------------------------- Running tests... ---------------------------------------------------------------------- .......................................... ---------------------------------------------------------------------- Ran 42 tests in 111.484s OK Generating XML reports... . Running tests... ---------------------------------------------------------------------- .......................................... ---------------------------------------------------------------------- Ran 42 tests in 64.274s OK Generating XML reports... . ---------------------------------------------------------------------- Ran 2 tests in 176.492s OK Generating XML reports... adding test for 'run_tests.py' SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.84% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Solution check warning: Dual cost 711394107.5097835 does not match primal cost 711663900.0 Final solution let signomial constraints slacken by 3.9%. 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)`. SGP not convergent: Cost rose by 0.26% 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 0.12%. 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 1.6% 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 0.038%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. Final solution let signomial constraints slacken by 0.97%. 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 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 0.047% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.11% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.32% 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 0.011%. 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 0.062% 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 0.31% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.032%. 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 0.07% 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 1% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.015%. 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 0.026%. 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 0.0071% 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 0.0078% 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 0.035% 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 0.0071% 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 0.071% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.49% 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 3.7%. 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 6.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.085%. 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 0.24% 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 0.037% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.001%. 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 0.011% 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 0.22% 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 0.043% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.055% 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 0.57% 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 0.042%. 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 0.0053% 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 0.26% 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 0.18% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Cloning into 'shopping'... Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 0.344s OK Generating XML reports... adding test for 'test.py' Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 0.0551 seconds. Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 0.0519 seconds. Using solver 'mosek_conif' for 25 free variables in 40 posynomial inequalities. Solving took 0.0242 seconds. Cloning into 'gassolar'... Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3) Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0) Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-0qz64mr3 Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-0qz64mr3 Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0) Collecting pint<0.10,>=0.8.1 Using cached Pint-0.9-py2.py3-none-any.whl (138 kB) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Collecting cvxopt>=1.1.8 Using cached cvxopt-1.2.4-cp37-cp37m-macosx_10_9_x86_64.whl (3.1 MB) 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=e780effa8b8e35d8b3a47f5ebb2a24007ba30339ff5b7f054ac04ade773ccedb Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-l2kvil5d/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378 Successfully built gpfit ERROR: gpkitmodels 0.0.0.0 requires future, which is not installed. Installing collected packages: gpfit, pint, cvxopt Attempting uninstall: pint Found existing installation: Pint 0.11 Uninstalling Pint-0.11: Successfully uninstalled Pint-0.11 Successfully installed cvxopt-1.2.4 gpfit-0.1 pint-0.9 Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gassolar Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gassolar==0.0.0.0) (1.0.0) Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.0.1) Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.3) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->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=5522f9e83cdebc09f359f700d05bbd0450e7a8b0e11fe216cf99bab627085b93 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-3x1gkwu9/wheels/6d/9b/77/e9ae19bc97c8b21e3b7aab9735e5c1e0790672ee79ae5b910b Successfully built gassolar Installing collected packages: gassolar Successfully installed gassolar-0.0.0.0 Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ./Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) . ---------------------------------------------------------------------- Ran 4 tests in 20.461s 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 0.142 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 0.695 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 0.174 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 0.67 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 0.425 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 2.22 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 0.372 seconds. Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.2617 but bound is 150000.0000 Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.3921 but bound is 150000.0000 Starting a sequence of GP solves for 25 free variables in 12 signomial constraints and for 1298 free variables in 1930 posynomial inequalities. Solving took 3.12 seconds and 4 GP solves. Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103382.7467 but bound is 150000.0000 Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.0987 but bound is 150000.0000 Cloning into 'jho'... Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3) Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0) Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-tleuu14u Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-tleuu14u Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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=5045b3913f55ed8bcc50db00902f1f6e0413958fd8eca3b2416c9f81763efc4b Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-oo8jni49/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378 Successfully built gpfit Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) .. ---------------------------------------------------------------------- Ran 4 tests in 26.209s 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 1.6 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 1.73 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 1.69 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 0.94 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 1.66 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 1.47 seconds and 4 GP solves. Max payload weight [lbf] = 28.083 Max take off weight [lbf] = 166.417 Cloning into 'turbofan'... Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/turbofan Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.4.1) Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (0.9) Processing /Users/jenkins/Library/Caches/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0/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=81b548bdc184a2b50a2c21fae992ea14fdcec1b40b03b4214bee5a851ed6077a Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-_646ayaf/wheels/76/65/76/e1e7601db02e46154a0e72dde6e3b004a716491461eb94c4b8 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 0.973s 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 0.118 seconds. Solved cost was 7.929e+13. GP Solve 2 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0285 seconds. Solved cost was 31.03. GP Solve 3 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0231 seconds. Solved cost was 10.15. GP Solve 4 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0274 seconds. Solved cost was 7.827. GP Solve 5 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0258 seconds. Solved cost was 7.281. GP Solve 6 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0269 seconds. Solved cost was 7.108. GP Solve 7 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0261 seconds. Solved cost was 7.029. GP Solve 8 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0229 seconds. Solved cost was 6.991. GP Solve 9 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0237 seconds. Solved cost was 6.973. GP Solve 10 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0234 seconds. Solved cost was 6.965. GP Solve 11 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0294 seconds. Solved cost was 6.96. GP Solve 12 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0294 seconds. Solved cost was 6.958. GP Solve 13 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0238 seconds. Solved cost was 6.957. Solving took 0.67 seconds and 13 GP solves. Cloning into 'solar'... Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1) Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0) Collecting git+https://github.com/convexengineering/gpfit.git Cloning https://github.com/convexengineering/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-x7xuegyy Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-x7xuegyy Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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=ab8387853c49dd68191ac4eacfc62a28d7d935b4f23783f4f8e664281648be65 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ujiqv2mv/wheels/68/65/b3/0afb13c0a818424d0e07427d1c5a4312849fc7491f18bd34a0 Successfully built gpfit Collecting git+https://github.com/convexengineering/gassolar.git Cloning https://github.com/convexengineering/gassolar.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-w6noth5n Running command git clone -q https://github.com/convexengineering/gassolar.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-w6noth5n Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gassolar==0.0.0.0) (1.0.0) Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.0.1) Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (0.1) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.3) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->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=5ee9a9de2c5665d8ee0a57ea205dbcd0901634044cd623690909616f087554e3 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-irctwkh_/wheels/84/16/d2/54d8f9e64f486a627f1c5353e5786ffa7a35c88bec592de580 Successfully built gassolar Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/solar Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from solar==0.0.0.0) (1.0.0) Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.0.1) Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (0.1) Requirement already satisfied: gpkitmodels in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek (from solar==0.0.0.0) (0.0.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (1.2.4) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->solar==0.0.0.0) (2.8.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->solar==0.0.0.0) (2019.3) Requirement already satisfied: future in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas->solar==0.0.0.0) (1.14.0) Building wheels for collected packages: solar Building wheel for solar (setup.py): started Building wheel for solar (setup.py): finished with status 'done' Created wheel for solar: filename=solar-0.0.0.0-py3-none-any.whl size=14841 sha256=87a57dfac915c6e6330ff95592446959ddf9c08b92194a72101d138a0cc13acf Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-utqso5hv/wheels/22/01/a0/b123acf822a2c6c44b2ba6fed6e2b37cd8fa3ce518efd38d85 Successfully built solar Installing collected packages: solar Successfully installed solar-0.0.0.0 Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ./Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) ./Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) .. ---------------------------------------------------------------------- Ran 6 tests in 71.168s OK Generating XML reports... 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 1.05 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 1.3 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 1.29 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 1.35 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 1.53 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 1.24 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 1.61 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 1632911.3376 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259326.6913 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 1.83 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 1036203.1700 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006644.2500 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 1.58 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 1329204.6848 but bound is 600000.0000 Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208150.3101 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 1.47 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 976141.9465 but bound is 600000.0000 Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.0526 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. SGP not convergent: Cost rose by 0.0002% 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 0.00055% 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. Solving took 3.36 seconds and 8 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 1007400.1709 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092545.0508 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 1.76 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 1119115.4885 but bound is 600000.0000 Using solver 'mosek_cli' for 7672 free variables in 10814 posynomial inequalities. Solving took 2.75 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839120.8369 but bound is 600000.0000 Using solver 'mosek_conif' for 7672 free variables in 10814 posynomial inequalities. Solving took 4.54 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.9890 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 1.34 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 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 1.69 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 1119110.1871 but bound is 600000.0000 Cloning into 'gplibrary'... Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1) Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0) Collecting git+https://github.com/hoburg/gpfit.git Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-28sctmfq Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-28sctmfq Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2) Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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=07081030ecc8b490adabd3154c19af5d4399629a4b8eaa4d4d41dd95027885a5 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-r9wb4e6h/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378 Successfully built gpfit Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gplibrary Requirement already satisfied: numpy>=1.12 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.4.1) Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (0.9) Requirement already satisfied: future in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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=a4584fbe352459a8bd455e8cfa333012ce8520d26c93cd5bc7f4040e0028dc62 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ynrehxwj/wheels/b8/f4/e7/d4333496cfe233f4f665fd8576190e00b52c7c890b89e80e59 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... ---------------------------------------------------------------------- ../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) ........ ---------------------------------------------------------------------- Ran 16 tests in 11.045s 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 0.0587 seconds. Using solver 'mosek_conif' for 11 free variables in 14 posynomial inequalities. Solving took 0.0207 seconds. Using solver 'mosek_cli' for 9 free variables in 15 posynomial inequalities. Solving took 0.057 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.0542 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.0484 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 1.39 seconds and 16 GP solves. Using solver 'mosek_conif' for 9 free variables in 15 posynomial inequalities. Solving took 0.0169 seconds. Using solver 'mosek_conif' for 25 free variables in 35 posynomial inequalities. Solving took 0.0184 seconds. Using solver 'mosek_conif' for 25 free variables in 35 posynomial inequalities. Solving took 0.0205 seconds. Starting a sequence of GP solves for 42 free variables in 11 signomial constraints and for 129 free variables in 211 posynomial inequalities. Solving took 0.789 seconds and 16 GP solves. Using solver 'mosek_cli' for 13 free variables in 16 posynomial inequalities. Solving took 0.0548 seconds. Starting a sequence of GP solves for 42 free variables in 11 signomial constraints and for 117 free variables in 190 posynomial inequalities. Solving took 0.943 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 0.0188 seconds. Starting a sequence of GP solves for 42 free variables in 11 signomial constraints and for 117 free variables in 190 posynomial inequalities. Solving took 0.678 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 1620134.1032 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 2499787.8944 but bound is 1000000.0000 Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860716.5046 but bound is 1000000.0000 Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860714.9057 but bound is 1000000.0000 Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853895.9777 but bound is 1000000.0000 Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.6198 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 1910419.3587 but bound is 700000.0000 Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.5812 but bound is 700000.0000 SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Starting a sequence of GP solves for 3 free variables in 1 signomial constraints and for 21 free variables in 22 posynomial inequalities. GP Solve 1 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0408 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0388 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0423 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0431 seconds. Solved cost was 4536. Solving took 0.176 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 0.0144 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0139 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0128 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0132 seconds. Solved cost was 4536. Solving took 0.0599 seconds and 4 GP solves. Cloning into 'eVTOL'... Running tests... ---------------------------------------------------------------------- .. ---------------------------------------------------------------------- Ran 2 tests in 4.467s OK Generating XML reports... adding test for 'models/model_tests.py' USING LOCAL DIRECTORY AS GPKITMODELS DIRECTORY calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', '--no-cache-dir', '--no-deps', '-e', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/robust.git'] attempt 1 SETTINGS defaultdict(, {}) calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/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(, {}) calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git'] attempt 1 SETTINGS defaultdict(, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'}) calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/jho.git'] attempt 1 SETTINGS defaultdict(, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'}) calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/turbofan.git'] attempt 1 SETTINGS defaultdict(, {'skipsolvers': 'cvxopt, mosek_cli', 'gpkit-models branch': 'master'}) calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/solar.git'] attempt 1 SETTINGS defaultdict(, {'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'}) calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gpfit.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gassolar.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git'] attempt 1 SETTINGS defaultdict(, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'}) calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git'] attempt 1 calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', '.'] attempt 1 calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/eVTOL.git'] attempt 1 SETTINGS defaultdict(, {'skipsolvers': 'cvxopt'}) [Execution node] check if [macys_VM] 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