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Started by upstream project "CE_gpkit_PR_research_models" build number 430 originally caused by: GitHub pull request #1477 of commit b8a0c84018f735284b1874edeb65722d69ec8c40, no merge conflicts. Running as SYSTEM [EnvInject] - Loading node environment variables. Building remotely on macys_VM in workspace /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek No credentials specified Wiping out workspace first. Cloning the remote Git repository Cloning repository https://github.com/convexengineering/gpkit > git init /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gpkit > git --version # timeout=10 > git fetch --tags --progress -- https://github.com/convexengineering/gpkit +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10 > git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10 Fetching upstream changes from https://github.com/convexengineering/gpkit > git fetch --tags --progress -- https://github.com/convexengineering/gpkit +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging Revision 9f20903af652b0f2c5713d726215514540dcc65a (refs/remotes/origin/pr/1477/merge) to origin/master, UserMergeOptions{mergeRemote='origin', mergeTarget='master', mergeStrategy='DEFAULT', fastForwardMode='FF'} > git rev-parse origin/master^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f origin/master # timeout=3 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 > git merge --ff 9f20903af652b0f2c5713d726215514540dcc65a # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 Seen branch in repository origin/debug_1461 Seen branch in repository origin/ecos Seen branch in repository origin/equality Seen branch in repository origin/fasthvs Seen branch in repository origin/fmincon_update Seen branch in repository origin/integer Seen branch in repository origin/master Seen branch in repository origin/mergecos Seen branch in repository origin/pr/10/head Seen branch in repository origin/pr/1000/head Seen branch in repository 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Seen branch in repository origin/varexp Seen branch in repository origin/xu_constraints Seen branch in repository origin/xu_examples Seen 648 remote branches > git show-ref --tags -d # timeout=10 JENKINS-19022: warning: possible memory leak due to Git plugin usage; see: https://wiki.jenkins.io/display/JENKINS/Remove+Git+Plugin+BuildsByBranch+BuildData Checking out Revision 9f20903af652b0f2c5713d726215514540dcc65a (origin/pr/1477/merge, origin/master) > git config core.sparsecheckout # timeout=10 > git checkout -f 9f20903af652b0f2c5713d726215514540dcc65a # timeout=3 Commit message: "Merge b8a0c84018f735284b1874edeb65722d69ec8c40 into 343e5d4bb2d59bac7dfaab1b00459caa3930bf6d" Using 'Changelog to branch' strategy. Run condition [Execution node ] enabling prebuild for step [Execute shell] Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command] [description-setter] Description set: <a title="various hashvector-related speedups" href="https://github.com/convexengineering/gpkit/pull/1477">PR 1477</a>: various hashvector-related speedups [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/jenkins4880113736057078299.sh + git clone ssh://acdl.mit.edu/home/svnroot/JenkinsGPkit Cloning into 'JenkinsGPkit'... + source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/gpkit_PR_research_models.sh ++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/python3.7 Also creating executable in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/activate ++++ deactivate nondestructive ++++ unset -f pydoc ++++ '[' -z '' ']' ++++ '[' -z '' ']' ++++ '[' -n /bin/bash ']' ++++ hash -r ++++ '[' -z '' ']' ++++ unset VIRTUAL_ENV ++++ '[' '!' nondestructive = nondestructive ']' ++++ VIRTUAL_ENV=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit ++++ export VIRTUAL_ENV ++++ _OLD_VIRTUAL_PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/ ++++ PATH=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit ++++ PS1='(venv2_gpkit) ' ++++ export PS1 ++++ alias pydoc ++++ '[' -n /bin/bash ']' ++++ hash -r +++ ls /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek CODE_OF_CONDUCT.md JenkinsGPkit LICENSE MANIFEST README.md docs fulltests.sh gpkit linecount.sh pylint.sh rtd_requirements.txt runtests.sh setup.py venv2_gpkit ++++ which pip +++ export PIP=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip +++ PIP=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip +++ pip_install pip +++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/mosek_installs.sh +++ [[ mosek == mosek ]] +++ [[ macys_VM == *reynolds* ]] +++ [[ macys_VM == *macys* ]] +++ export PATH=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek creating /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion creating /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/__init__.py to __init__.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/_implementation.py to _implementation.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/__init__.py to __init__.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/Utils.py to Utils.cpython-37.pyc byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/ Installing preloader module writing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/cvxopt_installs.sh +++ [[ mosek == cvxopt ]] ++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/pip_installs_base.sh +++ pip_install ad +++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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 numpy>=1.13.3 Using cached numpy-1.18.1-cp37-cp37m-macosx_10_9_x86_64.whl (15.1 MB) Collecting python-dateutil>=2.6.1 Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Collecting six>=1.5 Using cached six-1.14.0-py2.py3-none-any.whl (10 kB) Installing collected packages: pytz, numpy, six, python-dateutil, 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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade matplotlib Collecting matplotlib Using cached matplotlib-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (12.4 MB) Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (2.8.1) 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) 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 cycler>=0.10 Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Requirement already satisfied, skipping upgrade: six>=1.5 in ./venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.1->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: kiwisolver, pyparsing, cycler, matplotlib Successfully installed cycler-0.10.0 kiwisolver-1.1.0 matplotlib-3.2.0 pyparsing-2.4.6 +++ pip_install coverage +++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/coverage +++ COVERAGE=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/coverage ++ pip_install numpy ++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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 ++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/print_versions.sh +++ python -c 'import scipy; print(scipy.__version__)' 1.4.1 +++ python -c 'import numpy; print(numpy.__version__)' 1.18.1 +++ python -c 'import pint; print(pint.__version__)' 0.11 +++ 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..............................................E...E.E.EEEE...E.....................E..EE.EEE.EEEEEEE......F.........E...E.E.E.E.E...E.........E.E.E...E.EEE.E.... ====================================================================== ERROR: test_quantity_sub (gpkit.tests.t_sub.TestModelSubs) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/variables.py", line 83, in sub return Monomial.sub(self, *args, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 170, in sub return Signomial(self.hmap.sub(substitutions, self.varkeys), File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/map.py", line 135, in sub cval = cval.to(vk.units or DIMLESS_QUANTITY).magnitude File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 48, in of_division return self.division_cache[key] KeyError: (4469104952, 4725090000) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 55, in of_division self.division_cache[key] = float(conversion) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 519, in __init__ self.unsubbed = self._gen_unsubbed(self.left, self.right) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 539, in _gen_unsubbed l_over_r = unsubbed(self, left, right) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 465, in _gen_unsubbed m_c *= units.of_division(m_gt, p_lt) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 57, in of_division raise DimensionalityError(numerator, denominator) pint.errors.DimensionalityError: Cannot convert from 'y' to 'x [ft]' ====================================================================== ERROR: test_601 (gpkit.tests.t_model.TestGP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 94, in test_601 m.solve(solver=self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_cost_freeing (gpkit.tests.t_model.TestGP_mosek_conif) Test freeing a variable that's in the cost. ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 113, in test_cost_freeing verbosity=0)["cost"], 2) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_mdd_example (gpkit.tests.t_model.TestGP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 182, in test_mdd_example sol1 = m1.solve(solver=self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_sensitivities (gpkit.tests.t_model.TestGP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 171, in test_sensitivities self.assertAlmostEqual(senss[f_oew], 0.91, 2) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/keydict.py", line 175, in __getitem__ raise KeyError(key) KeyError: f_{oew} ====================================================================== ERROR: test_sigeq (gpkit.tests.t_model.TestGP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 65, in test_sigeq sol = m.localsolve(solver=self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_simple_united_gp (gpkit.tests.t_model.TestGP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 135, in test_simple_united_gp sol = prob.solve(solver=self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_singular (gpkit.tests.t_model.TestGP_mosek_conif) Create and solve GP with a singular A matrix ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 228, in test_singular sol = m.solve(solver=self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_zeroing (gpkit.tests.t_model.TestGP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 214, in test_zeroing sol = Model(1/L, constr).solve(self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_initially_infeasible (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 374, in test_initially_infeasible sol = m.localsolve(verbosity=0, solver=self.solver) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_reassigned_constant_cost (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 625, in test_reassigned_constant_cost m.localsolve(verbosity=0, solver=self.solver) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_relaxation (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 475, in test_relaxation m.localsolve(verbosity=0, solver=self.solver) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve self.result = gp.generate_result(solver_out, verbosity=verbosity-3) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_small_named_signomial (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 583, in test_small_named_signomial sol = m.localsolve(verbosity=0, solver=self.solver) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_sp_bounded (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 321, in test_sp_bounded cost = m.localsolve(verbosity=0, solver=self.solver)["cost"] File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_sp_initial_guess_sub (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 550, in test_sp_initial_guess_sub mutategp=False, solver=self.solver) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve self.result = gp.generate_result(solver_out, verbosity=verbosity-3) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_sp_substitutions (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 398, in test_sp_substitutions sol = m.solve(self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_tautological (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 422, in test_tautological self.assertAlmostEqual(m1.solve(self.solver, verbosity=0)["cost"], File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_tautological_spconstraint (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 465, in test_tautological_spconstraint sol = m.localsolve(self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_trivial_sp (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 450, in test_trivial_sp sol = m.localsolve(self.solver, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_trivial_sp2 (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 523, in test_trivial_sp2 sol1 = m.localsolve(x0={x: x0, y: y0}, verbosity=0, solver=self.solver) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve self.result = gp.generate_result(solver_out, verbosity=verbosity-3) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_unbounded_debugging (gpkit.tests.t_model.TestSP_mosek_conif) Test nearly-dual-feasible problems ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 641, in test_unbounded_debugging self.assertEqual(bounds["sensitive to lower bound"], set([x.key])) KeyError: 'sensitive to lower bound' ====================================================================== ERROR: test_values_vs_subs (gpkit.tests.t_model.TestSP_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 352, in test_values_vs_subs sol = m.localsolve(verbosity=0, solver=self.solver) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_autosweep_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/autosweep.py", line 14, in <module> bst1 = autosweep_1d(m1, tol1, l, [1, 10], verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 243, in autosweep_1d tol = recurse_splits(model, bst, sweepvar, logtol, solvekwargs, sols) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 257, in recurse_splits x, lb, ub = get_tol(bst.costs, bst.bounds, bst.sols, variable) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 277, in get_tol s0, s1 = [sol["sensitivities"]["variables"][variable] for sol in sols] File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 277, in <listcomp> s0, s1 = [sol["sensitivities"]["variables"][variable] for sol in sols] File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/keydict.py", line 175, in __getitem__ raise KeyError(key) KeyError: l ====================================================================== ERROR: test_boundschecking_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/boundschecking.py", line 54, in <module> sol = gp.solve(verbosity=0) # Errors on mosek_cli File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_debug_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/debug.py", line 22, in <module> m3.debug() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/model.py", line 195, in debug sol = feas.solve(**solveargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_docstringparsing_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/docstringparsing.py", line 48, in <module> print(c.solve(verbosity=0).table()) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_external_sp2_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/external_sp2.py", line 17, in <module> print(m.localsolve(verbosity=0, x0={x: np.pi/4}).summary()) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve self.result = gp.generate_result(solver_out, verbosity=verbosity-3) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_external_sp_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/external_sp.py", line 17, in <module> print(m.localsolve(verbosity=0, x0={x: np.pi/4}).summary()) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve self.result = gp.generate_result(solver_out, verbosity=verbosity-3) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_performance_modeling_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/performance_modeling.py", line 257, in <module> print(sol.diff("solution.pkl", showvars=vars_of_interest, sortbymodel=False)) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/solution_array.py", line 396, in diff for vk in svks.intersection(ovks)} File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/solution_array.py", line 396, in <dictcomp> for vk in svks.intersection(ovks)} File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/keydict.py", line 175, in __getitem__ raise KeyError(key) KeyError: Aircraft.Wing.rho ====================================================================== ERROR: test_simple_sp_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/simple_sp.py", line 14, in <module> print(m.localsolve(verbosity=0).summary()) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR: test_simpleflight_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/simpleflight.py", line 60, in <module> sol = m.solve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_sin_approx_example_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/sin_approx_example.py", line 17, in <module> print(m.solve(verbosity=0).summary()) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_unbounded_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/unbounded.py", line 16, in <module> == sol["boundedness"]["sensitive to upper bound"]) KeyError: 'sensitive to upper bound' ====================================================================== ERROR: test_vectorize_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/vectorize.py", line 18, in <module> print(m.solve(verbosity=0).summary()) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR: test_water_tank_mosek_cli (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 48, in of_division return self.division_cache[key] KeyError: (4755062864, 4737390928) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 55, in of_division self.division_cache[key] = float(conversion) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 94, in test imported[name] = importlib.import_module(name) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "<frozen importlib._bootstrap>", line 1006, in _gcd_import File "<frozen importlib._bootstrap>", line 983, in _find_and_load File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 677, in _load_unlocked File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/water_tank.py", line 11, in <module> bad_monomial_equality = (M == V) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 342, in __eq__ return MonomialEquality(self, other) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 519, in __init__ self.unsubbed = self._gen_unsubbed(self.left, self.right) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 539, in _gen_unsubbed l_over_r = unsubbed(self, left, right) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 465, in _gen_unsubbed m_c *= units.of_division(m_gt, p_lt) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 57, in of_division raise DimensionalityError(numerator, denominator) pint.errors.DimensionalityError: Cannot convert from 'V [mยณ]' to 'M [kg]' ====================================================================== ERROR: test_water_tank_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 48, in of_division return self.division_cache[key] KeyError: (4755062864, 4737390928) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 55, in of_division self.division_cache[key] = float(conversion) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 94, in test imported[name] = importlib.import_module(name) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "<frozen importlib._bootstrap>", line 1006, in _gcd_import File "<frozen importlib._bootstrap>", line 983, in _find_and_load File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 677, in _load_unlocked File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/water_tank.py", line 11, in <module> bad_monomial_equality = (M == V) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 342, in __eq__ return MonomialEquality(self, other) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 519, in __init__ self.unsubbed = self._gen_unsubbed(self.left, self.right) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 539, in _gen_unsubbed l_over_r = unsubbed(self, left, right) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 465, in _gen_unsubbed m_c *= units.of_division(m_gt, p_lt) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 57, in of_division raise DimensionalityError(numerator, denominator) pint.errors.DimensionalityError: Cannot convert from 'V [mยณ]' to 'M [kg]' ====================================================================== ERROR: test_x_greaterthan_1_mosek_conif (gpkit.tests.t_examples.TestExamples) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test importlib.reload(imported[name]) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload _bootstrap._exec(spec, module) File "<frozen importlib._bootstrap>", line 630, in _exec File "<frozen importlib._bootstrap_external>", line 728, in exec_module File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/x_greaterthan_1.py", line 17, in <module> sol = m.solve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== FAIL: test_units_sub (gpkit.tests.t_solution_array.TestSolutionArray) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_solution_array.py", line 76, in test_units_sub self.assertEqual(sol(Tmin), tminsub) AssertionError: <Quantity(4448.221615260501, 'newton')> != <Quantity(1000, 'force_pound')> ---------------------------------------------------------------------- Ran 241 tests in 23.634s FAILED (failures=1, errors=38) 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 Solution check warning: Dual variables associated with objective sum to 0.33331588002794466, not 1 Solution check warning: Dual variables associated with objective sum to 0.8163045025546598, not 1 Solution check warning: Dual variables associated with objective sum to 0.807, not 1 Solution check warning: Dual variables associated with objective sum to 1.7207827326098744, not 1 Solution check warning: Dual variables associated with objective sum to 0.5, not 1 Solution check warning: Dual variables associated with objective sum to 0.25000006007613396, not 1 Solution check warning: Dual variables associated with objective sum to 7.479401217150152e-07, not 1 Solution check warning: Dual variables associated with objective sum to 1.4175761046564724e-09, not 1 Solution check warning: Dual variables associated with objective sum to 4.3905593970698736e-09, not 1 Solution check warning: Dual variables associated with objective sum to 1.9999992532159818, not 1 Solution check warning: Dual variables associated with objective sum to 1.1944405449879303, not 1 Solution check warning: Dual variables associated with objective sum to 1.1111068565343467, not 1 Solution check warning: Dual variables associated with objective sum to 9.999999859526406, not 1 Solution check warning: Dual variables associated with objective sum to 29.999999231858787, not 1 Solves with these variables bounded: sensitive to upper bound: y Solution check warning: Dual variables associated with objective sum to 29.999999609050136, not 1 Solution check warning: Dual variables associated with objective sum to 9.999999950877045, not 1 Solution check warning: Dual variables associated with objective sum to 29.999999737099515, not 1 Solution check warning: Dual variables associated with objective sum to 5.207083370041659, not 1 ++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --no-cache-dir -e /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/ Obtaining file:///Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek Requirement already satisfied: numpy>=1.16.4 in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.18.1) Collecting pint<0.10,>=0.8.1 Downloading Pint-0.9-py2.py3-none-any.whl (138 kB) Requirement already satisfied: scipy in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.4.1) Requirement already satisfied: ad in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.3.2) Collecting cvxopt>=1.1.8 Downloading cvxopt-1.2.4-cp37-cp37m-macosx_10_9_x86_64.whl (3.1 MB) Installing collected packages: pint, cvxopt, gpkit Attempting uninstall: pint Found existing installation: Pint 0.11 Uninstalling Pint-0.11: Successfully uninstalled Pint-0.11 Running setup.py develop for gpkit Successfully installed cvxopt-1.2.4 gpkit pint-0.9 ++ export MSK_IPAR_NUM_THREADS=2 ++ MSK_IPAR_NUM_THREADS=2 ++ export MKL_NUM_THREADS=2 ++ MKL_NUM_THREADS=2 ++ export NUMEXPR_NUM_THREADS=2 ++ NUMEXPR_NUM_THREADS=2 ++ export OPENBLAS_NUM_THREADS=2 ++ OPENBLAS_NUM_THREADS=2 ++ export OMP_NUM_THREADS=2 ++ OMP_NUM_THREADS=2 ++ python -c 'from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)' /bin/sh: 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.E.EEEE...E.....................E..EE.EEE.EEEEEFE................E...E.E.E.E.E...E.........E.E.E...E.E.E.E....Cloning into 'gplibrary'... Obtaining file:///Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gplibrary Installing collected packages: gpkitmodels Running setup.py develop for gpkitmodels Successfully installed gpkitmodels Cloning into 'robust'... Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0) ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none) ERROR: No matching distribution found for gplibrary (from robust==0.0.0) Running tests... ---------------------------------------------------------------------- Running tests... ---------------------------------------------------------------------- .......................................... ---------------------------------------------------------------------- Ran 42 tests in 123.582s OK Generating XML reports... . Running tests... ---------------------------------------------------------------------- ...........E.....E..EE..EE............EEEE ====================================================================== ERROR [0.264s]: test_linearize_two_term_posynomial (run_tests.TestLinearization_mosek_cli) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_linearization.py", line 143, in test_linearize_two_term_posynomial sol = m.solve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR [0.133s]: test_linearize_two_term_posynomial (run_tests.TestLinearization_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_linearization.py", line 143, in test_linearize_two_term_posynomial sol = m.solve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve process_result=process_result) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result solver_out["nu"], solver_out["la"], tol) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution if any(np.abs(A.T.dot(nu)) > tol): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot return self * other File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__ raise ValueError('dimension mismatch') ValueError: dimension mismatch ====================================================================== ERROR [0.085s]: test_GoalProgram (run_tests.TestPrimitives_mosek_cli) Tests creation and solution of RobustModels with variable Gamma, ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 37, in test_GoalProgram nominal_cost = m.localsolve(verbosity=0)['cost'] File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [0.084s]: test_MarginModel (run_tests.TestPrimitives_mosek_cli) Tests creation and solution of MarginModel ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 459, in internalsolve return model.solve(verbosity=verbosity) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn self.program, progsolve = genfunction(self, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn prog = program(self.cost, self, constants, **initargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__ self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions)) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr> for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 625, in as_hmapslt1 raise InvalidGPConstraint("SignomialInequality could not simplify to a" gpkit.exceptions.InvalidGPConstraint: SignomialInequality could not simplify to a PosynomialInequality; try calling `.localsolve` instead of `.solve` to form your Model as a SequentialGeometricProgram During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 20, in test_MarginModel mm = MarginModel(m, gamma=0.5) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/model.py", line 54, in __init__ cs = self.setup(*args, **kwargs) # pylint: disable=no-member File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/margin.py", line 37, in setup self.nominal_solve = RobustModel.internalsolve(model, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 461, in internalsolve return model.localsolve(verbosity=verbosity) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [0.073s]: test_GoalProgram (run_tests.TestPrimitives_mosek_conif) Tests creation and solution of RobustModels with variable Gamma, ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 37, in test_GoalProgram nominal_cost = m.localsolve(verbosity=0)['cost'] File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [0.077s]: test_MarginModel (run_tests.TestPrimitives_mosek_conif) Tests creation and solution of MarginModel ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 459, in internalsolve return model.solve(verbosity=verbosity) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn self.program, progsolve = genfunction(self, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn prog = program(self.cost, self, constants, **initargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__ self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions)) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr> for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 625, in as_hmapslt1 raise InvalidGPConstraint("SignomialInequality could not simplify to a" gpkit.exceptions.InvalidGPConstraint: SignomialInequality could not simplify to a PosynomialInequality; try calling `.localsolve` instead of `.solve` to form your Model as a SequentialGeometricProgram During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 20, in test_MarginModel mm = MarginModel(m, gamma=0.5) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/model.py", line 54, in __init__ cs = self.setup(*args, **kwargs) # pylint: disable=no-member File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/margin.py", line 37, in setup self.nominal_solve = RobustModel.internalsolve(model, verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 461, in internalsolve return model.localsolve(verbosity=verbosity) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [0.419s]: test_simulate (run_tests.TestSimulation_mosek_cli) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 360, in generate_model_properties nominal_solution = model.solve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn self.program, progsolve = genfunction(self, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn prog = program(self.cost, self, constants, **initargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__ self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions)) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) [Previous line repeated 1 more time] File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr> for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 703, in as_hmapslt1 raise InvalidGPConstraint("SignomialEquality is not GP compatible.") gpkit.exceptions.InvalidGPConstraint: SignomialEquality is not GP compatible. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 33, in test_simulate simulate.generate_model_properties(model, number_of_time_average_solves, number_of_iterations) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 365, in generate_model_properties nominal_solution = model.localsolve(verbosity=0, iteration_limit=100) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [0.392s]: test_table_diff (run_tests.TestSimulation_mosek_cli) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 63, in test_table_diff sol = m.localsolve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [0.480s]: test_simulate (run_tests.TestSimulation_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 360, in generate_model_properties nominal_solution = model.solve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn self.program, progsolve = genfunction(self, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn prog = program(self.cost, self, constants, **initargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__ self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions)) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1 for l in self.flat(yield_if_hasattr="as_hmapslt1"))) [Previous line repeated 1 more time] File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr> for l in self.flat(yield_if_hasattr="as_hmapslt1"))) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 703, in as_hmapslt1 raise InvalidGPConstraint("SignomialEquality is not GP compatible.") gpkit.exceptions.InvalidGPConstraint: SignomialEquality is not GP compatible. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 33, in test_simulate simulate.generate_model_properties(model, number_of_time_average_solves, number_of_iterations) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 365, in generate_model_properties nominal_solution = model.localsolve(verbosity=0, iteration_limit=100) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [0.389s]: test_table_diff (run_tests.TestSimulation_mosek_conif) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 63, in test_table_diff sol = m.localsolve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ---------------------------------------------------------------------- Ran 42 tests in 30.598s FAILED (errors=10) Generating XML reports... . ---------------------------------------------------------------------- Ran 2 tests in 155.023s 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 0.053% 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 0.012% 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 0.45% 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 0.1% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. SGP not convergent: Cost rose by 0.24% 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 0.96% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. Final solution let signomial constraints slacken by 0.02%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`. SGP not convergent: Cost rose by 0.86% 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 0.029%. 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 0.47%. 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 0.007% 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 0.018% 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 0.0031% 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 0.44% 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 0.076% 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 0.0075% 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. Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1 Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.8330415183229405, not 1 Solution check warning: Dual variables associated with objective sum to 0.8317120645744842, not 1 Solution check warning: Dual variables associated with objective sum to 0.7992027556874821, not 1 Solution check warning: Dual variables associated with objective sum to 0.7981982254463402, not 1 Solution check warning: Dual variables associated with objective sum to 0.807975749579114, not 1 Solution check warning: Dual variables associated with objective sum to 0.8070727246915292, not 1 Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1 Solution check warning: Dual variables associated with objective sum to 0.8146063848814962, not 1 Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1 Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1 Solution check warning: Dual variables associated with objective sum to 0.7248893606324388, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1 Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1 Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1 Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1 Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1 Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1 Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1 Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1 Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1 Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1 Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1 Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.8330415183229405, not 1 Solution check warning: Dual variables associated with objective sum to 0.8317120645744842, not 1 Solution check warning: Dual variables associated with objective sum to 0.7992027556874821, not 1 Solution check warning: Dual variables associated with objective sum to 0.7981982254463402, not 1 Solution check warning: Dual variables associated with objective sum to 0.807975749579114, not 1 Solution check warning: Dual variables associated with objective sum to 0.8070727246915292, not 1 Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1 Solution check warning: Dual variables associated with objective sum to 0.8146063848814962, not 1 Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1 Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1 Solution check warning: Dual variables associated with objective sum to 0.7248893606324388, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1 Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1 Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1 Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1 Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1 Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1 Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1 Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1 Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1 Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1 Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.46064015506063943, not 1 Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1 Solution check warning: Dual variables associated with objective sum to 0.46064015506063943, not 1 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. Solution check warning: Dual variables associated with objective sum to 0.8835303897706718, not 1 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. Solution check warning: Dual variables associated with objective sum to 0.8858994802160995, not 1 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. Solution check warning: Dual variables associated with objective sum to 0.8848475564723571, not 1 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. Solution check warning: Dual variables associated with objective sum to 0.8877046077948912, not 1 Cloning into 'shopping'... Running tests... ---------------------------------------------------------------------- ... ---------------------------------------------------------------------- Ran 3 tests in 0.365s OK Generating XML reports... adding test for 'test.py' Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 0.0591 seconds. Using solver 'mosek_cli' for 25 free variables in 40 posynomial inequalities. Solving took 0.057 seconds. Using solver 'mosek_conif' for 25 free variables in 40 posynomial inequalities. Solving took 0.0257 seconds. Solution check warning: Dual variables associated with objective sum to 0.34453608687854365, not 1 Cloning into 'gassolar'... Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1) Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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-o9t6p5cp Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-o9t6p5cp Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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=8f945c0aeaee04dbbe69e87e8cd618b86eece7d3eadb02e891c5f2b476b04c58 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ecasjv35/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378 Successfully built gpfit Installing collected packages: gpfit Successfully installed gpfit-0.1 Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gassolar Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0) Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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=9dbf31493480026eb6c9b3e4f82b43ad30c7a92d67dbceef7048158654938be0 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-c2kw939q/wheels/75/4b/9c/55e026860e0f74bd7d4510104c5d7ba848b3e850250bb6be0e Successfully built gassolar Installing collected packages: gassolar Successfully installed gassolar-0.0.0.0 Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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) E/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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) E ====================================================================== ERROR [2.822s]: test_gassolar_gas_gas_py_mosek_conif (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda> lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn mod.test() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gassolar/gassolar/gas/gas.py", line 208, in test model.localsolve() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [9.755s]: test_gassolar_solar_solar_py_mosek_conif (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda> lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn mod.test() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gassolar/gassolar/solar/solar.py", line 371, in test m.localsolve() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ---------------------------------------------------------------------- Ran 4 tests in 23.337s FAILED (errors=2) 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 0.143 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 0.687 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 0.145 seconds. Solution check warning: Dual variables associated with objective sum to 0.08821807490900531, not 1 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. Solution check warning: Dual variables associated with objective sum to 0.020966011729067126, not 1 Solving took 0.715 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 0.403 seconds. Warning: Variable Mission2.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 Mission2.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 2.12 seconds and 4 GP solves. Warning: Variable Mission3.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 Mission3.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 0.674 seconds. Solution check warning: Dual variables associated with objective sum to 3.134849828356275, not 1 Starting a sequence of GP solves for 25 free variables in 12 signomial constraints and for 1298 free variables in 1930 posynomial inequalities. Solution check warning: Dual variables associated with objective sum to 0.060188320157866626, not 1 Solving took 4.32 seconds and 4 GP solves. Cloning into 'jho'... Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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-6x3ng8n0 Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-6x3ng8n0 Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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=0f992973471b8d08004cfcea1175a16e5e94cffdf9e7f4a56895d1bf4984b3df Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ghx4eh62/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378 Successfully built gpfit Running tests... ---------------------------------------------------------------------- /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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) E/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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) E ====================================================================== ERROR [2.815s]: test_model_jho_py_mosek_conif (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda> lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn mod.test() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/jho/model/jho.py", line 369, in test model.localsolve() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ====================================================================== ERROR [2.738s]: test_model_print_perf_py_mosek_conif (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda> lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn mod.test() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/jho/model/print_perf.py", line 195, in test jho_subs(M) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/jho/model/print_perf.py", line 43, in jho_subs sol = model.localsolve(verbosity=0) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ---------------------------------------------------------------------- Ran 4 tests in 18.589s FAILED (errors=2) 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 1.56 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. Solution check warning: Dual variables associated with objective sum to 0.01763551022941128, not 1 Solving took 1.49 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 1.53 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 1.04 seconds and 4 GP solves. Max payload weight [lbf] = 28.083 Max take off weight [lbf] = 166.418 Solution check warning: Dual variables associated with objective sum to 0.0, not 1 Cloning into 'turbofan'... Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/turbofan Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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=bc1bbc583580d54b1db36d73ffbc7d32ac3de13381ee3f9055a355177536b7b8 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-eto3zn2_/wheels/4d/03/98/f79de28f80c623b90d210bc9f17a04f6f763e27fc06147f60c Successfully built turbofan Installing collected packages: future, turbofan Successfully installed future-0.18.2 turbofan-0.0.0.0 Running tests... ---------------------------------------------------------------------- E ====================================================================== ERROR [1.073s]: test_turbofan_engine_test_py_mosek_conif (gpkit.tests.from_paths.TestFiles) ---------------------------------------------------------------------- Traceback (most recent call last): File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test testfn(name, import_dict, path)(self) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda> lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn mod.test() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/turbofan/turbofan/engine_test.py", line 5, in test engine_validation.test() File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/turbofan/engine_validation.py", line 736, in test sol = m.localsolve(verbosity = 2) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve del self.result["sensitivities"]["constraints"][slackconstraint] KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1) ---------------------------------------------------------------------- Ran 1 test in 1.073s FAILED (errors=1) 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 0.128 seconds. Solved cost was 7.929e+13. GP Solve 2 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0291 seconds. Solved cost was 30.99. GP Solve 3 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0281 seconds. Solved cost was 10.15. GP Solve 4 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0313 seconds. Solved cost was 7.827. GP Solve 5 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0273 seconds. Solved cost was 7.281. GP Solve 6 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0298 seconds. Solved cost was 7.108. GP Solve 7 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0321 seconds. Solved cost was 7.029. GP Solve 8 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0283 seconds. Solved cost was 6.991. GP Solve 9 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0317 seconds. Solved cost was 6.973. GP Solve 10 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0331 seconds. Solved cost was 6.965. GP Solve 11 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0297 seconds. Solved cost was 6.96. GP Solve 12 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0308 seconds. Solved cost was 6.958. GP Solve 13 Using solver 'mosek_conif' for 244 free variables in 492 posynomial inequalities. Solving took 0.0331 seconds. Solved cost was 6.957. Solution check warning: Dual variables associated with objective sum to 2.084224448006762, not 1 Solving took 0.755 seconds and 13 GP solves. Cloning into 'solar'... Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1) Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1) Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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-kkvewjj4 Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-kkvewjj4 Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1) Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1) Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0) Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9) Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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=7d3151f2f8b0de1196fc28931aedd1cbcb7434e2cb8aa0e34be2dd9da5f08ed5 Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-rctqwpnn/wheels/68/65/b3/0afb13c0a818424d0e07427d1c5a4312849fc7491f18bd34a0 Successfully built gpfit Build was aborted /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/gpkit_PR_research_models.sh: line 24: 80797 Terminated: 15 python -c "from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)" Recording test results [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is used... [WS-CLEANUP] done Finished: ABORTED