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> 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 8d93df009fd6e395b48a89051c5f9d6a99270ed2 (origin/pr/1472/merge, origin/master)
> git config core.sparsecheckout # timeout=10
> git checkout -f 8d93df009fd6e395b48a89051c5f9d6a99270ed2 # timeout=3
Commit message: "Merge 0711480d981f45358df426046ac4ef78f59b6bc4 into 75c2c4a1e77569eb0891a22212a29f8bf83c5ed8"
Using 'Changelog to branch' strategy.
Run condition [Execution node ] enabling prebuild for step [Execute shell]
Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command]
[description-setter] Description set: <a title="Better pickling" href="https://github.com/convexengineering/gpkit/pull/1472">PR 1472</a>: Better pickling
[Execution node] check if [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/jenkins4642783614607541447.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 python-dateutil>=2.6.1
Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)
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 six>=1.5
Using cached six-1.14.0-py2.py3-none-any.whl (10 kB)
Installing collected packages: six, python-dateutil, pytz, numpy, pandas
Successfully installed numpy-1.18.1 pandas-1.0.1 python-dateutil-2.8.1 pytz-2019.3 six-1.14.0
+++ pip_install matplotlib
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade matplotlib
Collecting matplotlib
Using cached matplotlib-3.1.3-cp37-cp37m-macosx_10_9_x86_64.whl (13.2 MB)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1
Using cached pyparsing-2.4.6-py2.py3-none-any.whl (67 kB)
Requirement already satisfied, skipping upgrade: numpy>=1.11 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (1.18.1)
Collecting cycler>=0.10
Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
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: six in ./venv2_gpkit/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.14.0)
Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0)
Installing collected packages: pyparsing, cycler, kiwisolver, matplotlib
Successfully installed cycler-0.10.0 kiwisolver-1.1.0 matplotlib-3.1.3 pyparsing-2.4.6
+++ pip_install coverage
+++ python /Users/jenkins/workspace/CE_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..........................................................................................................F..............................................EE......
======================================================================
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: (4536099128, 4792436944)
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 516, 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 536, 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_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: (4826655568, 4804781264)
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 516, 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 536, 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: (4826655568, 4804781264)
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 516, 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 536, 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]'
======================================================================
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 19.807s
FAILED (failures=1, errors=4)
Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...
Attempting to find and build solvers:
#
# Looking for mosek_cli
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# `mskexpopt` is not in system path, let's try adding it.
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in /Users/jenkins/mosek/8/tools/platform/osx64x86/bin
#
#
# Looking for mosek_conif
# Trying to import mosek...
# Found mosek_conif in Python path
#
#
# Looking for cvxopt
# Trying to import cvxopt...
# Did not find
# cvxopt
...finished building gpkit.
Replaced found solvers (['mosek_cli', 'mosek_conif']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)
Found the following solvers: mosek_cli, mosek_conif
# Replacing directory env
GPkit is now installed with solver(s) ['mosek_cli', 'mosek_conif']
To incorporate new solvers at a later date, run `gpkit.build()`.
If any tests didn't pass, please post the output above
(starting from "Found no installed solvers, beginning a build.")
to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new
so we can prevent others from having these errors.
The same goes for any other bugs you encounter with GPkit:
send 'em our way, along with any interesting models, speculative features,
comments, discussions, or clarifications you feel like sharing.
Finally, we hope you find our documentation (https://gpkit.readthedocs.io/)
and engineering-design models (https://github.com/convexengineering/gplibrary/)
to be useful resources for your own applications.
Enjoy!
{'installed_solvers': ['mosek_cli', 'mosek_conif'], 'mosek_bin_dir': '/Users/jenkins/mosek/8/tools/platform/osx64x86/bin', 'default_solver': 'mosek_cli', 'just built!': True}
++ 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.]
.................................................................................................................................................................................................................................................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 75.740s
OK
Generating XML reports...
.
Running tests...
----------------------------------------------------------------------
..........................................
----------------------------------------------------------------------
Ran 42 tests in 42.506s
OK
Generating XML reports...
.
----------------------------------------------------------------------
Ran 2 tests in 118.802s
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 0.0086% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
Final solution let signomial constraints slacken by 0.015%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.
SGP not convergent: Cost rose by 0.15% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 0.043% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 0.021% 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 0.46% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
Final solution let signomial constraints slacken by 0.0051%. 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 0.079% 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 0.015% 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 10% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
Final solution let signomial constraints slacken by 0.085%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.
SGP not convergent: Cost rose by 2.1% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
Final solution let signomial constraints slacken by 0.039%. 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 0.088% 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 0.0058% 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 0.021% 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 0.019% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 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 0.024% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
Final solution let signomial constraints slacken by 0.0079%. 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 0.00058% 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 0.032% 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 0.017% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 0.22% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
Cloning into 'shopping'...
Running tests...
----------------------------------------------------------------------
EEE
======================================================================
ERROR [0.015s]: test_py (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/from_paths.py", line 37, in test_fn
mod.test()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/shopping/test.py", line 62, in test
sol = m.solve(verbosity=1)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 118, in solvefn
solution.modelstr = str(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 183, in __str__
return self.str_without() # pylint: disable=no-member
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/single_equation.py", line 19, in str_without
try_str_without(self.right, excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/core.py", line 45, in str_without
return self.parse_ast(excluded) + units
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 142, in parse_ast
aststr = "%s.prod()" % parenthesize(strify(values[0], excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 70, in strify
val = try_str_without(val, excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py", line 98, in str_without
return self.parse_ast(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 133, in parse_ast
elif UNICODE_EXPONENTS and int(x) == x and 2 <= x <= 9:
TypeError: only size-1 arrays can be converted to Python scalars
======================================================================
ERROR [0.009s]: test_test_py_mosek_cli (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/shopping/test.py", line 62, in test
sol = m.solve(verbosity=1)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 118, in solvefn
solution.modelstr = str(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 183, in __str__
return self.str_without() # pylint: disable=no-member
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/single_equation.py", line 19, in str_without
try_str_without(self.right, excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/core.py", line 45, in str_without
return self.parse_ast(excluded) + units
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 142, in parse_ast
aststr = "%s.prod()" % parenthesize(strify(values[0], excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 70, in strify
val = try_str_without(val, excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py", line 98, in str_without
return self.parse_ast(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 133, in parse_ast
elif UNICODE_EXPONENTS and int(x) == x and 2 <= x <= 9:
TypeError: only size-1 arrays can be converted to Python scalars
======================================================================
ERROR [0.010s]: test_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/shopping/test.py", line 62, in test
sol = m.solve(verbosity=1)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 118, in solvefn
solution.modelstr = str(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 183, in __str__
return self.str_without() # pylint: disable=no-member
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 248, in str_without
return "\n".join(self.lines_without(excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 223, in lines_without
clines = try_str_without(constraint, excluded).split("\n")
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/single_equation.py", line 19, in str_without
try_str_without(self.right, excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/core.py", line 45, in str_without
return self.parse_ast(excluded) + units
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 142, in parse_ast
aststr = "%s.prod()" % parenthesize(strify(values[0], excluded))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 70, in strify
val = try_str_without(val, excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py", line 36, in try_str_without
return item.str_without(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py", line 98, in str_without
return self.parse_ast(excluded)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/repr_conventions.py", line 133, in parse_ast
elif UNICODE_EXPONENTS and int(x) == x and 2 <= x <= 9:
TypeError: only size-1 arrays can be converted to Python scalars
----------------------------------------------------------------------
Ran 3 tests in 0.034s
FAILED (errors=3)
Generating XML reports...
adding test for 'test.py'
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: 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: 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: 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-lzn7kl3h
Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-lzn7kl3h
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=e7dbe8969eefe26297cccac3b888fa52103886c0909ad4b7738c6213d21e0df1
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-h_f51r0c/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: 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: 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: 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=2a340e0138494a623ccabf6f4d40cc1e5fdf6e0a6994b3c68351c0718f301561
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-i0qfd1dx/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/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)
.
----------------------------------------------------------------------
Ran 4 tests in 14.363s
OK
Generating XML reports...
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'
Using solver 'mosek_cli'
for 592 free variables
in 918 posynomial inequalities.
Solving took 0.122 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 0.457 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 0.419 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 0.458 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 0.259 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Starting a sequence of GP solves
for 25 free variables
in 12 signomial constraints
and for 1298 free variables
in 1930 posynomial inequalities.
Solving took 1.38 seconds and 4 GP solves.
Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000
Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000
Using solver 'mosek_conif'
for 1250 free variables
in 1872 posynomial inequalities.
Solving took 0.253 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.2737 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.3799 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 2.17 seconds and 4 GP solves.
Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103377.6881 but bound is 150000.0000
Warning: Variable Mission1.FlightSegment1.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102042.5094 but bound is 150000.0000
Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103407.6372 but bound is 150000.0000
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: 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: 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: 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-58s529im
Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-58s529im
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=b1115a88343a84386133e5d33ef6440875e2f4a28f85ea6f8ee08fe3d560481d
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-xuimczzu/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)
/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)
..
----------------------------------------------------------------------
Ran 4 tests in 17.577s
OK
Generating XML reports...
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'
Starting a sequence of GP solves
for 5 free variables
in 6 signomial constraints
and for 847 free variables
in 2010 posynomial inequalities.
Solving took 1.07 seconds and 4 GP solves.
Starting a sequence of GP solves
for 5 free variables
in 6 signomial constraints
and for 847 free variables
in 2010 posynomial inequalities.
Solving took 1.03 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] = 36.269
optimum cruise speed, outbound [m/s] = 25.637
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 1.04 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Starting a sequence of GP solves
for 5 free variables
in 6 signomial constraints
and for 828 free variables
in 1995 posynomial inequalities.
Solving took 0.732 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.418
MTOW [lbs] = 141.77
Zero fuel weight [lbs] = 53.80
Wing span [ft] = 24.00
Aicraft length [ft] = 12.90
Aspect ratio = 25.60
mean aerodynamic chord [ft] = 0.9722
root chord [ft] = 1.250
speed for best rate of climb [m/s]: Vy = 21.829
speed at top of climb [m/s] = 26.622
design loiter speed [m/s] = 25.070
rotation speed at 55 lbs [m/s] = 18.185
rotation speed at 150 lbs [m/s] = 28.236
optimum loiter speed for min power, start of loiter [m/s] = 25.279
optimum loiter speed for min power, end of loiter [m/s] = 17.233
optimum cruise speed, inbound [m/s] = 36.269
optimum cruise speed, outbound [m/s] = 25.637
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 1.23 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 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.417
Cloning into 'turbofan'...
Processing /Users/jenkins/workspace/CE_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=a51b31929619d375239b8eda2629e9f522c1ead4d613ee77d00025bc7a9984f0
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-1eesi9pq/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...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 0.680s
OK
Generating XML reports...
adding test for 'turbofan/engine_test.py'
Starting a sequence of GP solves
for 27 free variables
in 14 signomial constraints
and for 244 free variables
in 492 posynomial inequalities.
GP Solve 1
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0819 seconds.
Solved cost was 7.929e+13.
GP Solve 2
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0191 seconds.
Solved cost was 30.78.
GP Solve 3
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0181 seconds.
Solved cost was 10.14.
GP Solve 4
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.02 seconds.
Solved cost was 7.828.
GP Solve 5
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0183 seconds.
Solved cost was 7.282.
GP Solve 6
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0188 seconds.
Solved cost was 7.108.
GP Solve 7
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0188 seconds.
Solved cost was 7.029.
GP Solve 8
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0184 seconds.
Solved cost was 6.992.
GP Solve 9
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0187 seconds.
Solved cost was 6.973.
GP Solve 10
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0184 seconds.
Solved cost was 6.965.
GP Solve 11
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0184 seconds.
Solved cost was 6.96.
GP Solve 12
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0182 seconds.
Solved cost was 6.958.
GP Solve 13
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.018 seconds.
Solved cost was 6.957.
Solving took 0.475 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: 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/convexengineering/gpfit.git
Cloning https://github.com/convexengineering/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-yb29q03u
Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-yb29q03u
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=b4ffe8313c2a7acb0e3a14a4c55b15239f98ec5ad9aa342279a63766dd24fc62
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-qo00486_/wheels/68/65/b3/0afb13c0a818424d0e07427d1c5a4312849fc7491f18bd34a0
Successfully built gpfit
Collecting git+https://github.com/convexengineering/gassolar.git
Cloning https://github.com/convexengineering/gassolar.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-xtmcveb4
Running command git clone -q https://github.com/convexengineering/gassolar.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-xtmcveb4
Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /Users/jenkins/workspace/CE_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 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: 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: 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: 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=f3822309ab80f902e9a7408dd6b1494c6ed883853223c74e011d58da3349b383
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-mgnwroad/wheels/84/16/d2/54d8f9e64f486a627f1c5353e5786ffa7a35c88bec592de580
Successfully built gassolar
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar
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 solar==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 solar==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 solar==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 solar==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 solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gplibrary (from solar==0.0.0.0) (0.0.0.0)
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->solar==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->solar==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->solar==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->solar==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->solar==0.0.0.0) (2.8.1)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas->solar==0.0.0.0) (1.14.0)
Building wheels for collected packages: solar
Building wheel for solar (setup.py): started
Building wheel for solar (setup.py): finished with status 'done'
Created wheel for solar: filename=solar-0.0.0.0-py3-none-any.whl size=14841 sha256=0edd927f05c4bdfd36b392246c55bf89c7758cf7c4dafe2aa70d6d5652ed343a
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-kirsmm70/wheels/24/52/36/dc3de7f2ee9245ba0a91e76d816269ddc6d795d6c5d0d68de1
Successfully built solar
Installing collected packages: solar
Successfully installed solar-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)
/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/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)
..
----------------------------------------------------------------------
Ran 6 tests in 49.943s
OK
Generating XML reports...
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'
N=1
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 980 free variables
in 1300 posynomial inequalities.
Solving took 0.813 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000
N=3
Starting a sequence of GP solves
for 67 free variables
in 23 signomial constraints
and for 1032 free variables
in 1384 posynomial inequalities.
Solving took 0.935 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036209.6021 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006641.3990 but bound is 1000000.0000
N=5
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 1084 free variables
in 1492 posynomial inequalities.
Solving took 0.929 seconds and 4 GP solves.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329202.9037 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208149.0070 but bound is 1000000.0000
N=7
Starting a sequence of GP solves
for 71 free variables
in 27 signomial constraints
and for 1136 free variables
in 1624 posynomial inequalities.
Solving took 1.08 seconds and 4 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976138.7332 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.9154 but bound is 1000000.0000
N=9
Starting a sequence of GP solves
for 73 free variables
in 29 signomial constraints
and for 1188 free variables
in 1780 posynomial inequalities.
Solving took 1.07 seconds and 4 GP solves.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000
N=0
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 954 free variables
in 1269 posynomial inequalities.
Solving took 0.841 seconds and 4 GP solves.
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000
N=1
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 980 free variables
in 1300 posynomial inequalities.
Solving took 1.15 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632908.1981 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259327.8627 but bound is 1000000.0000
N=3
Starting a sequence of GP solves
for 67 free variables
in 23 signomial constraints
and for 1032 free variables
in 1384 posynomial inequalities.
Solving took 1.36 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036202.7446 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006643.3754 but bound is 1000000.0000
N=5
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 1084 free variables
in 1492 posynomial inequalities.
Solving took 1.26 seconds and 4 GP solves.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329205.7735 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208151.7663 but bound is 1000000.0000
N=7
Starting a sequence of GP solves
for 71 free variables
in 27 signomial constraints
and for 1136 free variables
in 1624 posynomial inequalities.
Solving took 1.27 seconds and 4 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976141.7413 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042058.8865 but bound is 1000000.0000
N=9
Starting a sequence of GP solves
for 73 free variables
in 29 signomial constraints
and for 1188 free variables
in 1780 posynomial inequalities.
Solving took 1.22 seconds and 4 GP solves.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007400.0386 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.9891 but bound is 1000000.0000
N=0
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 954 free variables
in 1269 posynomial inequalities.
Solving took 1.25 seconds and 4 GP solves.
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119120.0788 but bound is 600000.0000
Using solver 'mosek_cli'
for 7672 free variables
in 10814 posynomial inequalities.
Solving took 1.83 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839120.8369 but bound is 600000.0000
Using solver 'mosek_conif'
for 7672 free variables
in 10814 posynomial inequalities.
Solving took 2.89 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.9827 but bound is 600000.0000
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 954 free variables
in 1269 posynomial inequalities.
Solving took 0.859 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 954 free variables
in 1269 posynomial inequalities.
SGP not convergent: Cost rose by 0.00013% 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.
Solving took 1.82 seconds and 6 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119114.2770 but bound is 600000.0000
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
Requirement already satisfied: pandas in /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-yhhabl90
Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-yhhabl90
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=cea32a7eacccfeff0e79ff70cdc7caf146e91a2a60947cc164114540d732680e
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-opaveyx5/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gplibrary
Requirement already satisfied: numpy>=1.12 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (0.18.2)
Building wheels for collected packages: gpkitmodels
Building wheel for gpkitmodels (setup.py): started
Building wheel for gpkitmodels (setup.py): finished with status 'done'
Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-py3-none-any.whl size=66127 sha256=e1ae46b742a0939c2dd1d307ea08ac9aaaf0ae42e8ca44677054ef067303b842
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-t95asrgc/wheels/f6/57/0b/dd08708bad2e4d873384a7865dbcc42293a904438906070d02
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
Attempting uninstall: gpkitmodels
Found existing installation: gpkitmodels 0.0.0.0
Uninstalling gpkitmodels-0.0.0.0:
Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0
Running tests...
----------------------------------------------------------------------
../Users/jenkins/workspace/CE_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)
../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)
........
----------------------------------------------------------------------
Ran 16 tests in 7.642s
OK
Generating XML reports...
adding test for 'gpkitmodels/GP/aircraft/wing/wing_test.py'
adding test for 'gpkitmodels/GP/aircraft/tail/tail_tests.py'
adding test for 'gpkitmodels/GP/aircraft/fuselage/test_fuselage.py'
adding test for 'gpkitmodels/GP/aircraft/prop/prop_test.py'
adding test for 'gpkitmodels/GP/aircraft/motor/motor_test.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_mission.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py'
Using solver 'mosek_cli'
for 11 free variables
in 14 posynomial inequalities.
Solving took 0.0786 seconds.
Using solver 'mosek_conif'
for 11 free variables
in 14 posynomial inequalities.
Solving took 0.0144 seconds.
Using solver 'mosek_cli'
for 9 free variables
in 15 posynomial inequalities.
Solving took 0.0364 seconds.
Using solver 'mosek_cli'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.0382 seconds.
Using solver 'mosek_cli'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.0364 seconds.
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 129 free variables
in 211 posynomial inequalities.
Solving took 0.972 seconds and 16 GP solves.
Using solver 'mosek_conif'
for 9 free variables
in 15 posynomial inequalities.
Solving took 0.0124 seconds.
Using solver 'mosek_conif'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.0114 seconds.
Using solver 'mosek_conif'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.0128 seconds.
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 129 free variables
in 211 posynomial inequalities.
Solving took 0.54 seconds and 16 GP solves.
Using solver 'mosek_cli'
for 13 free variables
in 16 posynomial inequalities.
Solving took 0.0364 seconds.
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 117 free variables
in 190 posynomial inequalities.
Solving took 0.652 seconds and 11 GP solves.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Using solver 'mosek_conif'
for 13 free variables
in 16 posynomial inequalities.
Solving took 0.012 seconds.
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 117 free variables
in 190 posynomial inequalities.
Solving took 0.536 seconds and 11 GP solves.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619825.2177 but bound is 700000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3820 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.8944 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860716.6413 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860715.2425 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.6915 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.5443 but bound is 1000000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884889.9591 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.5477 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.2611 but bound is 700000.0000
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
Starting a sequence of GP solves
for 3 free variables
in 1 signomial constraints
and for 21 free variables
in 22 posynomial inequalities.
GP Solve 1
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0409 seconds.
Solved cost was 5717.
GP Solve 2
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0382 seconds.
Solved cost was 4538.
GP Solve 3
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0377 seconds.
Solved cost was 4536.
GP Solve 4
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0385 seconds.
Solved cost was 4536.
Solving took 0.164 seconds and 4 GP solves.
Starting a sequence of GP solves
for 3 free variables
in 1 signomial constraints
and for 21 free variables
in 22 posynomial inequalities.
GP Solve 1
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.014 seconds.
Solved cost was 5717.
GP Solve 2
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0127 seconds.
Solved cost was 4538.
GP Solve 3
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0123 seconds.
Solved cost was 4536.
GP Solve 4
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0135 seconds.
Solved cost was 4536.
Solving took 0.0567 seconds and 4 GP solves.
Cloning into 'eVTOL'...
Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 2.934s
OK
Generating XML reports...
adding test for 'models/model_tests.py'
----------------------------------------------------------------------
Ran 241 tests in 17.365s
OK
Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...
Attempting to find and build solvers:
#
# Looking for mosek_cli
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# `mskexpopt` is not in system path, let's try adding it.
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in /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...
# Found cvxopt in Python path
#
...finished building gpkit.
Replaced found solvers (['mosek_cli', 'mosek_conif', 'cvxopt']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)
Found the following solvers: mosek_cli, mosek_conif
# Replacing directory env
GPkit is now installed with solver(s) ['mosek_cli', 'mosek_conif']
To incorporate new solvers at a later date, run `gpkit.build()`.
If any tests didn't pass, please post the output above
(starting from "Found no installed solvers, beginning a build.")
to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new
so we can prevent others from having these errors.
The same goes for any other bugs you encounter with GPkit:
send 'em our way, along with any interesting models, speculative features,
comments, discussions, or clarifications you feel like sharing.
Finally, we hope you find our documentation (https://gpkit.readthedocs.io/)
and engineering-design models (https://github.com/convexengineering/gplibrary/)
to be useful resources for your own applications.
Enjoy!
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '--no-cache-dir', '--no-deps', '-e', 'gplibrary']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/robust.git']
attempt 1
SETTINGS
defaultdict(<class 'str'>, {})
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
attempt 2
attempt 3
attempt 4
attempt 5
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git']
attempt 1
SETTINGS
defaultdict(<class 'str'>, {})
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git']
attempt 1
SETTINGS
defaultdict(<class 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'})
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/jho.git']
attempt 1
SETTINGS
defaultdict(<class 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'})
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/turbofan.git']
attempt 1
SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt, mosek_cli', 'gpkit-models branch': 'master'})
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/solar.git']
attempt 1
SETTINGS
defaultdict(<class 'str'>, {'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master', 'skipsolvers': 'cvxopt'})
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gpfit.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gassolar.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
attempt 1
attempt 2
attempt 3
attempt 4
attempt 5
SETTINGS
defaultdict(<class 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'})
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/eVTOL.git']
attempt 1
SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt'})
[Execution node] check if [macys_VM] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
Build step 'Console output (build log) parsing' changed build result to FAILURE
Recording test results
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: FAILURE
![[Jenkins]](/csi/static/a404d988/images/svgs/logo.svg){kind=logo}
