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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 3f7ce5eb0b91845b4de34e805dc54a5f9e2053e2 (origin/pr/1482/merge, origin/master)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 3f7ce5eb0b91845b4de34e805dc54a5f9e2053e2 # timeout=3
Commit message: "Merge d20c7dff3561fe10a2af85440b319fd51d733a0a into b6fd01793057bb807e9a401a7b97996e8670aad1"
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="fix exponents appearing and disappearing from the A matrix" href="https://github.com/convexengineering/gpkit/pull/1482">PR 1482</a>: fix exponents appearing and disappearing from the A matrix
[Execution node] check if [reynolds] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]]
Run condition [Execution node ] enabling perform for step [Execute shell]
[mosek] $ /bin/bash -xe /tmp/jenkins7425679420871881595.sh
+ git clone ssh://acdl.mit.edu/home/svnroot/JenkinsGPkit
Cloning into 'JenkinsGPkit'...
+ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/gpkit_PR_research_models.sh
++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/all_machines.sh
+++ [[ reynolds == *macys* ]]
+++ [[ reynolds == *reynolds* ]]
+++ export CVXOPT_SUITESPARSE_INC_DIR=/usr/include/suitesparse
+++ CVXOPT_SUITESPARSE_INC_DIR=/usr/include/suitesparse
+++ export PATH=/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ PATH=/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ virtualenv --python=python3 /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit
Using base prefix '/usr'
New python executable in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/python3
Also creating executable in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/python
Installing setuptools, pip, wheel...done.
Running virtualenv with interpreter /usr/bin/python3
+++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/activate
++++ deactivate nondestructive
++++ unset -f pydoc
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ '[' -n /bin/bash ']'
++++ hash -r
++++ '[' -z '' ']'
++++ unset VIRTUAL_ENV
++++ '[' '!' nondestructive = nondestructive ']'
++++ VIRTUAL_ENV=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit
++++ export VIRTUAL_ENV
++++ _OLD_VIRTUAL_PATH=/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
++++ PATH=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin:/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
++++ export PATH
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ _OLD_VIRTUAL_PS1=
++++ '[' x '!=' x ']'
+++++ basename /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit
++++ PS1='(venv2_gpkit) '
++++ export PS1
++++ alias pydoc
++++ '[' -n /bin/bash ']'
++++ hash -r
+++ ls /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek
CODE_OF_CONDUCT.md
docs
fulltests.sh
gpkit
JenkinsGPkit
LICENSE
linecount.sh
MANIFEST
pylint.sh
README.md
rtd_requirements.txt
runtests.sh
setup.py
venv2_gpkit
++++ which pip
+++ export PIP=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip
+++ PIP=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip
+++ pip_install pip
+++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pip
Requirement already up-to-date: pip in ./venv2_gpkit/lib/python3.5/site-packages (20.0.2)
++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/mosek_installs.sh
+++ [[ mosek == mosek ]]
+++ [[ reynolds == *reynolds* ]]
+++ export PATH=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin:/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/mosek/9.1/tools/platform/linux64x86/bin
+++ PATH=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin:/home/jenkins/.local/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/mosek/9.1/tools/platform/linux64x86/bin
+++ python /home/jenkins/mosek/9.1/tools/platform/linux64x86/python/3/setup.py install
running install
running build
running build_py
running build_ext
copying mosek/_msk.abi3.so -> build/lib.linux-x86_64-3.5/mosek
copying mosek/fusion/impl/fragments.abi3.so -> build/lib.linux-x86_64-3.5/mosek/fusion/impl
running install_lib
creating /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek
copying build/lib.linux-x86_64-3.5/mosek/__init__.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek
copying build/lib.linux-x86_64-3.5/mosek/_msk.abi3.so -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek
creating /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion
copying build/lib.linux-x86_64-3.5/mosek/fusion/__init__.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion
copying build/lib.linux-x86_64-3.5/mosek/fusion/Utils.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion
creating /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl
copying build/lib.linux-x86_64-3.5/mosek/fusion/impl/fragments.abi3.so -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl
copying build/lib.linux-x86_64-3.5/mosek/fusion/impl/__init__.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl
copying build/lib.linux-x86_64-3.5/mosek/fusion/impl/_implementation.py -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl
byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/__init__.py to __init__.cpython-35.pyc
byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/__init__.py to __init__.cpython-35.pyc
byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/Utils.py to Utils.cpython-35.pyc
byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl/__init__.py to __init__.cpython-35.pyc
byte-compiling /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/fusion/impl/_implementation.py to _implementation.cpython-35.pyc
running install_egg_info
Writing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/Mosek-9.1.11.egg-info
Fixing library paths
copying /home/jenkins/mosek/9.1/tools/platform/linux64x86/bin/libcilkrts.so.5 -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/
copying /home/jenkins/mosek/9.1/tools/platform/linux64x86/bin/libmosek64.so.9.1 -> /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/
Installing preloader module
writing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/mosek/_mskpreload.py
+++ msktestlic
Mosek license manager: License path: /home/jenkins/mosek/mosek.lic
Mosek license manager:  Checkout license feature 'PTS' from flexlm.
Mosek license manager:  Checkout time 0.01. 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: 0.03    

************************************
A license was checked out correctly.
************************************
+++ export 'GPKITSOLVERS=mosek_cli, mosek_conif'
+++ GPKITSOLVERS='mosek_cli, mosek_conif'
+++ COVERAGE_OMIT=gpkit/solvers/cvxopt.py
++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/cvxopt_installs.sh
+++ [[ mosek == cvxopt ]]
++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/pip_installs_base.sh
+++ pip_install ad
+++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade ad
Processing /home/jenkins/.cache/pip/wheels/ad/93/a6/5c7acfabb8aef11eec7fe275da1f8d4c10e46139b82d43d455/ad-1.3.2-py3-none-any.whl
Installing collected packages: ad
Successfully installed ad-1.3.2
+++ pip_install xmlrunner
+++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade xmlrunner
Processing /home/jenkins/.cache/pip/wheels/d2/b6/82/45ddac455f0209f0f50861031cbf91114e64305d2296e6b2ed/xmlrunner-1.7.7-py3-none-any.whl
Installing collected packages: xmlrunner
Successfully installed xmlrunner-1.7.7
+++ pip_install pandas
+++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pandas
Collecting pandas
  Using cached pandas-0.24.2-cp35-cp35m-manylinux1_x86_64.whl (10.0 MB)
Collecting pytz>=2011k
  Using cached pytz-2019.3-py2.py3-none-any.whl (509 kB)
Collecting python-dateutil>=2.5.0
  Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)
Collecting numpy>=1.12.0
  Using cached numpy-1.18.1-cp35-cp35m-manylinux1_x86_64.whl (19.9 MB)
Collecting six>=1.5
  Using cached six-1.14.0-py2.py3-none-any.whl (10 kB)
Installing collected packages: pytz, six, python-dateutil, numpy, pandas
Successfully installed numpy-1.18.1 pandas-0.24.2 python-dateutil-2.8.1 pytz-2019.3 six-1.14.0
+++ pip_install matplotlib
+++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade matplotlib
Collecting matplotlib
  Using cached matplotlib-3.0.3-cp35-cp35m-manylinux1_x86_64.whl (13.0 MB)
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/python3.5/site-packages (from matplotlib) (2.8.1)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1
  Using cached pyparsing-2.4.6-py2.py3-none-any.whl (67 kB)
Collecting kiwisolver>=1.0.1
  Using cached kiwisolver-1.1.0-cp35-cp35m-manylinux1_x86_64.whl (90 kB)
Requirement already satisfied, skipping upgrade: numpy>=1.10.0 in ./venv2_gpkit/lib/python3.5/site-packages (from matplotlib) (1.18.1)
Requirement already satisfied, skipping upgrade: six in ./venv2_gpkit/lib/python3.5/site-packages (from cycler>=0.10->matplotlib) (1.14.0)
Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python3.5/site-packages (from kiwisolver>=1.0.1->matplotlib) (45.3.0)
Installing collected packages: cycler, pyparsing, kiwisolver, matplotlib
Successfully installed cycler-0.10.0 kiwisolver-1.1.0 matplotlib-3.0.3 pyparsing-2.4.6
+++ pip_install coverage
+++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade coverage
Collecting coverage
  Using cached coverage-5.0.3-cp35-cp35m-manylinux1_x86_64.whl (227 kB)
Installing collected packages: coverage
Successfully installed coverage-5.0.3
++++ which coverage
+++ export COVERAGE=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/coverage
+++ COVERAGE=/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/coverage
++ pip_install numpy
++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade numpy
Requirement already up-to-date: numpy in ./venv2_gpkit/lib/python3.5/site-packages (1.18.1)
++ pip_install scipy
++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade scipy
Collecting scipy
  Using cached scipy-1.4.1-cp35-cp35m-manylinux1_x86_64.whl (26.0 MB)
Requirement already satisfied, skipping upgrade: numpy>=1.13.3 in ./venv2_gpkit/lib/python3.5/site-packages (from scipy) (1.18.1)
Installing collected packages: scipy
Successfully installed scipy-1.4.1
++ pip_install pint
++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pint
Collecting pint
  Using cached Pint-0.9-py2.py3-none-any.whl (138 kB)
Installing collected packages: pint
Successfully installed pint-0.9
++ source /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/JenkinsGPkit/print_versions.sh
+++ python -c 'import scipy; print(scipy.__version__)'
1.4.1
+++ python -c 'import numpy; print(numpy.__version__)'
1.18.1
+++ python -c 'import pint; print(pint.__version__)'
0.9
+++ python -c 'import gpkit; print(gpkit.settings)'
/bin/sh: 1: mskexpopt: not found
No filename given.
Usage:
     mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
...............................................................................................................................................................................................................................................
----------------------------------------------------------------------
Ran 239 tests in 226.165s

OK
Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...

Attempting to find and build solvers:

#
# Looking for mosek_cli
#   Trying to run mskexpopt...
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# `mskexpopt` is not in system path, let's try adding it.
#   Trying to run mskexpopt...
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in /home/jenkins/mosek/8/tools/platform/linux64x86/bin
#
#
# Looking for mosek_conif
#   Trying to import mosek...
# Found mosek_conif in Python path
#
#
# Looking for cvxopt
#   Trying to import cvxopt...
# Did not find
# cvxopt
...finished building gpkit.
Replaced found solvers (['mosek_cli', 'mosek_conif']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)

Found the following solvers: mosek_cli, mosek_conif
#     Replacing directory env

GPkit is now installed with solver(s) ['mosek_cli', 'mosek_conif']
To incorporate new solvers at a later date, run `gpkit.build()`.

If any tests didn't pass, please post the output above
(starting from "Found no installed solvers, beginning a build.")
to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new
so we can prevent others from having these errors.

The same goes for any other bugs you encounter with GPkit:
send 'em our way, along with any interesting models, speculative features,
comments, discussions, or clarifications you feel like sharing.

Finally, we hope you find our documentation (https://gpkit.readthedocs.io/)
and engineering-design models (https://github.com/convexengineering/gplibrary/)
to be useful resources for your own applications.

Enjoy!

{'just built!': True, 'installed_solvers': ['mosek_cli', 'mosek_conif'], 'default_solver': 'mosek_cli', 'mosek_bin_dir': '/home/jenkins/mosek/8/tools/platform/linux64x86/bin'}
++ python /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip install --no-cache-dir -e /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/
Obtaining file:///jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek
Requirement already satisfied: numpy>=1.16.4 in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (1.18.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (0.9)
Requirement already satisfied: scipy in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (1.4.1)
Requirement already satisfied: ad in ./venv2_gpkit/lib/python3.5/site-packages (from gpkit==1.0.0) (1.3.2)
Collecting cvxopt>=1.1.8
  Downloading cvxopt-1.2.4-cp35-cp35m-manylinux1_x86_64.whl (11.6 MB)
Installing collected packages: cvxopt, gpkit
  Running setup.py develop for gpkit
Successfully installed cvxopt-1.2.4 gpkit
++ export MSK_IPAR_NUM_THREADS=2
++ MSK_IPAR_NUM_THREADS=2
++ export MKL_NUM_THREADS=2
++ MKL_NUM_THREADS=2
++ export NUMEXPR_NUM_THREADS=2
++ NUMEXPR_NUM_THREADS=2
++ export OPENBLAS_NUM_THREADS=2
++ OPENBLAS_NUM_THREADS=2
++ export OMP_NUM_THREADS=2
++ OMP_NUM_THREADS=2
++ python -c 'from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)'
/bin/sh: 1: mskexpopt: not found
No filename given.
Usage:
     mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
...............................................................................................................................................................................................................................................Cloning into 'gplibrary'...
Obtaining file:///jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary
Installing collected packages: gpkitmodels
  Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
Cloning into 'SPaircraft'...
Collecting git+https://github.com/hoburg/turbofan.git
  Cloning https://github.com/hoburg/turbofan.git to /tmp/pip-req-build-cqcgjz7e
  Running command git clone -q https://github.com/hoburg/turbofan.git /tmp/pip-req-build-cqcgjz7e
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (0.9)
Processing /home/jenkins/.cache/pip/wheels/c4/f0/ae/d4689c4532d1f111462ed6a884a7767d502e511ee65f0d8e1b/future-0.18.2-py3-none-any.whl
Building wheels for collected packages: turbofan
  Building wheel for turbofan (setup.py): started
  Building wheel for turbofan (setup.py): finished with status 'done'
  Created wheel for turbofan: filename=turbofan-0.0.0.0-py3-none-any.whl size=43842 sha256=2edf51a34a94a27cd2c0a4a02559faafd751959c071a153f5c560b12643e6e61
  Stored in directory: /tmp/pip-ephem-wheel-cache-p6e7fg2p/wheels/be/ef/8f/e6c5e30d92b835ba6768a0093de24fb71dd26a0c8368512728
Successfully built turbofan
Installing collected packages: future, turbofan
Successfully installed future-0.18.2 turbofan-0.0.0.0
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/SPaircraft
Requirement already satisfied: turbofan in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from SPaircraft==0.0.0) (0.0.0.0)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from SPaircraft==0.0.0) (1.0.0)
Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from SPaircraft==0.0.0) (0.18.2)
Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan->SPaircraft==0.0.0) (0.9)
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan->SPaircraft==0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan->SPaircraft==0.0.0) (1.4.1)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->SPaircraft==0.0.0) (1.2.4)
Building wheels for collected packages: SPaircraft
  Building wheel for SPaircraft (setup.py): started
  Building wheel for SPaircraft (setup.py): finished with status 'done'
  Created wheel for SPaircraft: filename=SPaircraft-0.0.0-py3-none-any.whl size=1837 sha256=ed897f06a292ebbdd37fe3a84a56fef13ca77780d6df08135650f594e24410a7
  Stored in directory: /tmp/pip-ephem-wheel-cache-ynjszr4c/wheels/46/b3/9b/63e25fbd28685f8d4ab7e2f59bc6096da4a094b8bcda44d80a
Successfully built SPaircraft
Installing collected packages: SPaircraft
Successfully installed SPaircraft-0.0.0
adding test for 'SPaircraft.py'
Starting a sequence of GP solves
 for 317 free variables
  in 136 locally-GP constraints
  and for 1198 free variables
       in 4705 posynomial inequalities.

GP Solve 1
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 170 seconds.
Solved cost was 3.965e+40.

GP Solve 2
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 103 seconds.
Solved cost was 4.006e+10.

GP Solve 3
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 76.7 seconds.
Solved cost was 3.199e+05.

GP Solve 4
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 62 seconds.
Solved cost was 2.932e+04.

GP Solve 5
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 40.1 seconds.
Solved cost was 2.498e+04.

GP Solve 6
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 19.6 seconds.
Solved cost was 2.381e+04.

GP Solve 7
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 32.1 seconds.
Solved cost was 2.328e+04.

GP Solve 8
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 14.5 seconds.
Solved cost was 2.303e+04.

Solving took 521 seconds and 8 GP solves.

Solves with these variables bounded:
 sensitive to lower bound: Mission.Aircraft.HorizontalTail.WingBox.I_{cap}
   value near lower bound: Mission.Aircraft.Wing.WingNoStruct.\bar{A}_{fuel, max}, Mission.Aircraft.HorizontalTail.WingBox.M_r, Mission.Aircraft.HorizontalTail.WingBox.I_{cap}, Mission.Aircraft.LandingGear.h_{nacelle}

WEIGHT DIFFERENCES


Total Fuel Weight Percent Diff: [-14.58138901]


Total Aircraft Weight Percent Diff: [-0.74792307]


Engine Weight Percent Diff: -31.677098439586814


Fuselage Weight Percent Diff: 2.651671159417021


Payload Weight Percent Diff: [-0.04052335]


VT Weight Percent Diff: 36.22141039400382


HT Weight Percent Diff: -97.00047333253531


Wing Weight Percent Diff: 6.301579926786856




WING DIFFERENCES


Wing Span Percent Diff: -4.037713671263935


Wing Area Percent Diff: 20.48875673467018




HORIZONTAL TAIL DIFFERENCES


HT Area Percent Diff: 31.218905332316265




VERTICAL TAIL DIFFERENCES




VT Span Percent Diff: 0.9751032325104769


VT Area Percent Diff: -48.98405758832487




CRUISE SEGMENT 1 DRAG DIFFERENCES


Overall Cd Percent Diff: [-29.23159982]


L/D Percent Diff: [16.07535484]


Nacelle Cd Percent Diff: [-2.27908553]


HT Cd Percent Diff: [-97.20243434] dimensionless


Fuselage Cd Percent Diff: [108.78744865]


VT Cd Percent Diff: [-35.67307517] dimensionless


Wing Cd percent Diff: [-29.62869661]
Induced Drag Cd Percent Diff: [-33.69778717]




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.54323328]




FUSELAGE DIFFERENCES




Weight of HB material: -30.619639657042416 


Weight of VB material: 115.8649744112391 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.80047271]
Starting a sequence of GP solves
 for 317 free variables
  in 136 locally-GP constraints
  and for 1198 free variables
       in 4705 posynomial inequalities.

GP Solve 1
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 61.3 seconds.
Solved cost was 3.964e+40.

GP Solve 2
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 1.47 seconds.
Solved cost was 4.017e+10.

GP Solve 3
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 1.25 seconds.
Solved cost was 3.193e+05.

GP Solve 4
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 1.08 seconds.
Solved cost was 2.931e+04.

GP Solve 5
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 3.01 seconds.
Solved cost was 2.498e+04.

GP Solve 6
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 1.99 seconds.
Solved cost was 2.381e+04.

GP Solve 7
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 1.31 seconds.
Solved cost was 2.328e+04.

GP Solve 8
Using solver 'mosek_cli'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 1.12 seconds.
Solved cost was 2.303e+04.

Solving took 74.1 seconds and 8 GP solves.

Solves with these variables bounded:
 sensitive to lower bound: Mission1.Aircraft.HorizontalTail.WingBox.I_{cap}
   value near lower bound: Mission1.Aircraft.HorizontalTail.WingBox.M_r, Mission1.Aircraft.Wing.WingNoStruct.\bar{A}_{fuel, max}, Mission1.Aircraft.LandingGear.h_{nacelle}, Mission1.Aircraft.HorizontalTail.WingBox.I_{cap}

WEIGHT DIFFERENCES


Total Fuel Weight Percent Diff: [-14.58138901]


Total Aircraft Weight Percent Diff: [-0.74792307]


Engine Weight Percent Diff: -31.679489699294177


Fuselage Weight Percent Diff: 2.6537242133706


Payload Weight Percent Diff: [-0.04052335]


VT Weight Percent Diff: 36.22086550945204


HT Weight Percent Diff: -97.0004463366738


Wing Weight Percent Diff: 6.301579926786856




WING DIFFERENCES


Wing Span Percent Diff: -4.037329821350915


Wing Area Percent Diff: 20.489359179959926




HORIZONTAL TAIL DIFFERENCES


HT Area Percent Diff: 31.219167770389394




VERTICAL TAIL DIFFERENCES




VT Span Percent Diff: 0.9750022574577574


VT Area Percent Diff: -48.98410860424179




CRUISE SEGMENT 1 DRAG DIFFERENCES


Overall Cd Percent Diff: [-29.23181213]


L/D Percent Diff: [16.07593522]


Nacelle Cd Percent Diff: [-2.28279886]


HT Cd Percent Diff: [-97.20243713] dimensionless


Fuselage Cd Percent Diff: [108.78744865]


VT Cd Percent Diff: [-35.67346113] dimensionless


Wing Cd percent Diff: [-29.62869661]
Induced Drag Cd Percent Diff: [-33.69785347]




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.542846]




FUSELAGE DIFFERENCES




Weight of HB material: -30.52792763857795 


Weight of VB material: 115.87058697353682 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.80046455]
Starting a sequence of GP solves
 for 317 free variables
  in 136 locally-GP constraints
  and for 1198 free variables
       in 4705 posynomial inequalities.

GP Solve 1
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.37 seconds.
Solved cost was 3.965e+40.

GP Solve 2
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.345 seconds.
Solved cost was 2.974e+10.

GP Solve 3
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.358 seconds.
Solved cost was 4.886e+05.

GP Solve 4
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.379 seconds.
Solved cost was 3.074e+04.

GP Solve 5
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.355 seconds.
Solved cost was 2.521e+04.

GP Solve 6
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.359 seconds.
Solved cost was 2.393e+04.

GP Solve 7
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.317 seconds.
Solved cost was 2.334e+04.

GP Solve 8
Using solver 'mosek_conif'
 for 1198 free variables
  in 4705 posynomial inequalities.
Solving took 0.36 seconds.
Solved cost was 2.306e+04.
Solution check warning: Dual cost nan does not match primal cost 23059.985498040234

Solving took 4.83 seconds and 8 GP solves.

Solves with these variables bounded:
 sensitive to lower bound: Mission.Aircraft.HorizontalTail.WingBox.I_{cap}
   value near lower bound: Mission.Aircraft.Wing.WingNoStruct.\bar{A}_{fuel, max}, Mission.Aircraft.HorizontalTail.WingBox.I_{cap}, Mission.Aircraft.LandingGear.h_{nacelle}

WEIGHT DIFFERENCES


Total Fuel Weight Percent Diff: [-14.46310031]


Total Aircraft Weight Percent Diff: [-0.48994425]


Engine Weight Percent Diff: -30.927990295102585
Running tests...
----------------------------------------------------------------------
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py:403: RuntimeWarning: divide by zero encountered in log
  for i, mi in enumerate(self.m_idxs) if la[i])
.
----------------------------------------------------------------------
Ran 2 tests in 611.627s

OK

Generating XML reports...



Fuselage Weight Percent Diff: 3.039466567903712


Payload Weight Percent Diff: [-0.04003537]


VT Weight Percent Diff: 37.100897239264626


HT Weight Percent Diff: -96.99302854558388


Wing Weight Percent Diff: 6.4388066322089195




WING DIFFERENCES


Wing Span Percent Diff: -4.070488025928708


Wing Area Percent Diff: 20.573718333945834




HORIZONTAL TAIL DIFFERENCES


HT Area Percent Diff: 31.537272241888385




VERTICAL TAIL DIFFERENCES




VT Span Percent Diff: 1.142628201905836


VT Area Percent Diff: -48.814606179753504




CRUISE SEGMENT 1 DRAG DIFFERENCES


Overall Cd Percent Diff: [-29.23297476]


L/D Percent Diff: [15.98548367]


Nacelle Cd Percent Diff: [-1.38618553]


HT Cd Percent Diff: [-97.19583998] dimensionless


Fuselage Cd Percent Diff: [108.78752887]


VT Cd Percent Diff: [-35.4755172] dimensionless


Wing Cd percent Diff: [-29.7050187]
Induced Drag Cd Percent Diff: [-33.71213901]




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.63066521]




FUSELAGE DIFFERENCES




Weight of HB material: -48.580466003591305 


Weight of VB material: 117.20501360799267 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.8025759]
Cloning into 'robust'...
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
adding test for 'run_tests.py'
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.034% 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 0.84% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Final solution let signomial constraints slacken by 0.012%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

Final solution let signomial constraints slacken by 0.042%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

SGP not convergent: Cost rose by 0.022% 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 0.34% 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 0.013% 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 0.077% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Final solution let signomial constraints slacken by 0.013%. 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 0.92% 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 0.0081%. 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 0.098% 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 0.043% on GP solve 7. Details 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 0.092%. 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 0.4% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.26% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.0041% 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 9.2% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Running tests...
----------------------------------------------------------------------

Running tests...
----------------------------------------------------------------------
..........................................
----------------------------------------------------------------------
Ran 42 tests in 329.869s

OK

Generating XML reports...
.
Running tests...
----------------------------------------------------------------------
..........................................
----------------------------------------------------------------------
Ran 42 tests in 93.063s

OK

Generating XML reports...
.
----------------------------------------------------------------------
Ran 2 tests in 423.426s

OK

Generating XML reports...

SGP not convergent: Cost rose by 0.0061% 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 0.082%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

Final solution let signomial constraints slacken by 0.012%. 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 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.

Solution check warning: Sum of nu^T * A did not vanish.
Final solution let signomial constraints slacken by 1.5%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

SGP not convergent: Cost rose by 0.12% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.23% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.16% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.0053% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.023% 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 0.036% 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.

Cloning into 'shopping'...

Running tests...
----------------------------------------------------------------------
...
----------------------------------------------------------------------
Ran 3 tests in 7.975s

OK

Generating XML reports...
adding test for 'test.py'
Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 4.09 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 3.69 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.04 seconds.
Cloning into 'gassolar'...
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-m98kftgn
  Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-m98kftgn
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=9357d52df897803265dabcbc815f6d44b71ce877b98f2eb5abec9812f3f25c9c
  Stored in directory: /tmp/pip-ephem-wheel-cache-6_7vazb8/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gassolar
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2019.3)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.14.0)
Building wheels for collected packages: gassolar
  Building wheel for gassolar (setup.py): started
  Building wheel for gassolar (setup.py): finished with status 'done'
  Created wheel for gassolar: filename=gassolar-0.0.0.0-py3-none-any.whl size=4876521 sha256=bd81e791e48a1fc34ebe8213466ae98a43c3da75d5805c5858eb112073867f20
  Stored in directory: /tmp/pip-ephem-wheel-cache-mxkz70e7/wheels/4a/f6/b3/8e03e3edbf6f5d28608c472583a38096ae09ac9565473f47e9
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0

Running tests...
----------------------------------------------------------------------
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
E
======================================================================
ERROR [7.232s]: test_gassolar_solar_solar_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 194, in solve
    k=self.k, p_idxs=self.p_idxs, **solverargs)
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/solvers/mosek_conif.py", line 214, in optimize
    raise UnknownInfeasible("solution status: ", msk_solsta)
gpkit.exceptions.UnknownInfeasible: ('solution status: ', unknown)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
    testfn(name, import_dict, path)(self)
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
    lambda self: getattr(self, name)()))  # pylint:disable=undefined-variable
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
    mod.test()
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gassolar/gassolar/solar/solar.py", line 368, in test
    m.solve()
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
    result = progsolve(solver, verbosity=verbosity, **solveargs)
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 223, in solve
    raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: The solver failed for an unknown reason. Running `.debug()` may pinpoint the trouble. You can also try another solver, or increase the verbosity.

----------------------------------------------------------------------
Ran 4 tests in 298.778s

FAILED (errors=1)

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 103 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 8 free variables
  in 2 locally-GP constraints
  and for 600 free variables
       in 926 posynomial inequalities.
Solving took 141 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 0.658 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 8 free variables
  in 2 locally-GP constraints
  and for 600 free variables
       in 926 posynomial inequalities.
Solving took 2.99 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 4.32 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 38 free variables
  in 12 locally-GP constraints
  and for 1298 free variables
       in 1930 posynomial inequalities.
Solving took 21.5 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 1.86 seconds.
Cloning into 'jho'...
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-jr2zkk19
  Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-jr2zkk19
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=10ce9c88ad0bc9ae423f38099168a0ae459fcab9c6dd07695a3b29de91a60447
  Stored in directory: /tmp/pip-ephem-wheel-cache-ylguwqkw/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734
Successfully built gpfit

Running tests...
----------------------------------------------------------------------
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.
----------------------------------------------------------------------
Ran 4 tests in 503.240s

OK

Generating XML reports...
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'
Starting a sequence of GP solves
 for 8 free variables
  in 6 locally-GP constraints
  and for 847 free variables
       in 2010 posynomial inequalities.
Solving took 393 seconds and 4 GP solves.
Starting a sequence of GP solves
 for 8 free variables
  in 6 locally-GP constraints
  and for 847 free variables
       in 2010 posynomial inequalities.
Solving took 5.8 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 8 free variables
  in 6 locally-GP constraints
  and for 827 free variables
       in 1995 posynomial inequalities.
Solving took 4.11 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Starting a sequence of GP solves
 for 8 free variables
  in 6 locally-GP constraints
  and for 828 free variables
       in 1995 posynomial inequalities.
Solving took 2.26 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 8 free variables
  in 6 locally-GP constraints
  and for 827 free variables
       in 1995 posynomial inequalities.
Solving took 1.9 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Starting a sequence of GP solves
 for 8 free variables
  in 6 locally-GP constraints
  and for 828 free variables
       in 1995 posynomial inequalities.
Solving took 1.98 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.417
Cloning into 'turbofan'...
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/turbofan
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (0.18.2)
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=448427beac0e7d483ae9a835b3b7e94efe1d520be149bbb95a26c07b27144f05
  Stored in directory: /tmp/pip-ephem-wheel-cache-the4vv51/wheels/01/1a/ce/e04bd07c025725d0ce16795af296f318dddb7944ac26ee85e0
Successfully built turbofan
Installing collected packages: turbofan
  Attempting uninstall: turbofan
    Found existing installation: turbofan 0.0.0.0
    Uninstalling turbofan-0.0.0.0:
      Successfully uninstalled turbofan-0.0.0.0
Successfully installed turbofan-0.0.0.0

Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 1.824s

OK

Generating XML reports...
adding test for 'turbofan/engine_test.py'
Starting a sequence of GP solves
 for 43 free variables
  in 14 locally-GP 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 0.138 seconds.
Solved cost was 7.929e+13.

GP Solve 2
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.074 seconds.
Solved cost was 31.05.

GP Solve 3
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0792 seconds.
Solved cost was 10.15.

GP Solve 4
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0652 seconds.
Solved cost was 7.827.

GP Solve 5
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.105 seconds.
Solved cost was 7.281.

GP Solve 6
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0805 seconds.
Solved cost was 7.108.

GP Solve 7
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.117 seconds.
Solved cost was 7.029.

GP Solve 8
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0377 seconds.
Solved cost was 6.991.

GP Solve 9
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0892 seconds.
Solved cost was 6.973.

GP Solve 10
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0872 seconds.
Solved cost was 6.965.

GP Solve 11
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0559 seconds.
Solved cost was 6.96.

GP Solve 12
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0784 seconds.
Solved cost was 6.958.

GP Solve 13
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.101 seconds.
Solved cost was 6.957.

Solving took 1.43 seconds and 13 GP solves.
Cloning into 'solar'...
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/convexengineering/gpfit.git
  Cloning https://github.com/convexengineering/gpfit.git to /tmp/pip-req-build-e3t23hg4
  Running command git clone -q https://github.com/convexengineering/gpfit.git /tmp/pip-req-build-e3t23hg4
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=93d6294ff4b5f0dddbe84264888cb568a7a1f67d2cc979662d4b5c8ddfa5734d
  Stored in directory: /tmp/pip-ephem-wheel-cache-xjscus4t/wheels/b7/26/db/8d7891aa676f12ed7066b510187b6e45bad5a96ae3bebe4361
Successfully built gpfit
Collecting git+https://github.com/convexengineering/gassolar.git
  Cloning https://github.com/convexengineering/gassolar.git to /tmp/pip-req-build-0lvfu1dv
  Running command git clone -q https://github.com/convexengineering/gassolar.git /tmp/pip-req-build-0lvfu1dv
Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2019.3)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas->gassolar==0.0.0.0) (1.14.0)
Building wheels for collected packages: gassolar
  Building wheel for gassolar (setup.py): started
  Building wheel for gassolar (setup.py): finished with status 'done'
  Created wheel for gassolar: filename=gassolar-0.0.0.0-py3-none-any.whl size=4876521 sha256=a7586e6444008e08e50d07d5ade05c48a987736236228f5b458d62331eb8693e
  Stored in directory: /tmp/pip-ephem-wheel-cache-i9b9a9_d/wheels/36/21/53/9226b28718e17dd1dade13626212b75280ee7731e785b1b943
Successfully built gassolar
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/solar
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from solar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (1.2.4)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->solar==0.0.0.0) (2.8.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->solar==0.0.0.0) (2019.3)
Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas->solar==0.0.0.0) (1.14.0)
Building wheels for collected packages: solar
  Building wheel for solar (setup.py): started
  Building wheel for solar (setup.py): finished with status 'done'
  Created wheel for solar: filename=solar-0.0.0.0-py3-none-any.whl size=14841 sha256=d7b7b0cbfd37ea2d8e9d8c60b05b3e26ac57fc5a491cc8090e2a05178a9b8a0d
  Stored in directory: /tmp/pip-ephem-wheel-cache-cfpflzyt/wheels/e1/f2/c8/c932a74a50c7c249cb629065554b78464951618c3ddeb074ec
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'

N=1
Starting a sequence of GP solves
 for 85 free variables
  in 21 locally-GP constraints
  and for 980 free variables
       in 1300 posynomial inequalities.
Solving took 2.86 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 97 free variables
  in 23 locally-GP constraints
  and for 1032 free variables
       in 1384 posynomial inequalities.
Solving took 2.32 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 85 free variables
  in 21 locally-GP constraints
  and for 1084 free variables
       in 1492 posynomial inequalities.
Solving took 3.24 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 115 free variables
  in 27 locally-GP constraints
  and for 1136 free variables
       in 1624 posynomial inequalities.
Solving took 2.34 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 124 free variables
  in 29 locally-GP constraints
  and for 1188 free variables
       in 1780 posynomial inequalities.
Solving took 48.8 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 85 free variables
  in 21 locally-GP constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 310 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 85 free variables
  in 21 locally-GP constraints
  and for 980 free variables
       in 1300 posynomial inequalities.
Solving took 3.68 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 1632914.8917 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.3033 but bound is 1000000.0000

N=3
Starting a sequence of GP solves
 for 97 free variables
  in 23 locally-GP constraints
  and for 1032 free variables
       in 1384 posynomial inequalities.
SGP not convergent: Cost rose by 0.0004% 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 0.0003% 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 0.00015% on GP solve 8. Details 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 13.2 seconds and 10 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 1036202.2241 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006642.7892 but bound is 1000000.0000

N=5
Starting a sequence of GP solves
 for 85 free variables
  in 21 locally-GP constraints
  and for 1084 free variables
       in 1492 posynomial inequalities.
Solving took 4.37 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 1329205.6773 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208151.7058 but bound is 1000000.0000

N=7
Starting a sequence of GP solves
 for 115 free variables
  in 27 locally-GP constraints
  and for 1136 free variables
       in 1624 posynomial inequalities.
Solving took 3.69 seconds and 4 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976142.1206 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.1581 but bound is 1000000.0000

N=9
Starting a sequence of GP solves
 for 124 free variables
  in 29 locally-GP constraints
  and for 1188 free variables
       in 1780 posynomial inequalities.
Solving took 4.09 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 1007400.0946 but bound is 600000.0000
Running tests...
----------------------------------------------------------------------
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.
----------------------------------------------------------------------
Ran 6 tests in 457.383s

OK

Generating XML reports...

Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092545.0842 but bound is 1000000.0000

N=0
Starting a sequence of GP solves
 for 85 free variables
  in 21 locally-GP constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 4.38 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 1119123.9858 but bound is 600000.0000
Using solver 'mosek_cli'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 2.76 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 5.58 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 839124.4591 but bound is 600000.0000
Starting a sequence of GP solves
 for 85 free variables
  in 21 locally-GP constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 2.37 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 85 free variables
  in 21 locally-GP constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 2.78 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 1119113.6374 but bound is 600000.0000
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-1wth9uzt
  Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-1wth9uzt
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=967cc2a98f18073e097d8a3f78d44039fdeb52c9540bd337b12703d6b2483018
  Stored in directory: /tmp/pip-ephem-wheel-cache-0npmti78/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734
Successfully built gpfit
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary
Requirement already satisfied: numpy>=1.12 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (0.18.2)
Building wheels for collected packages: gpkitmodels
  Building wheel for gpkitmodels (setup.py): started
  Building wheel for gpkitmodels (setup.py): finished with status 'done'
  Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-py3-none-any.whl size=66127 sha256=898418daf7d1f67d9d1924bc6d40c934cc3b8ebde80b8f5b958ea0b28f99ce21
  Stored in directory: /tmp/pip-ephem-wheel-cache-6qwiw3nc/wheels/13/41/65/4f4c33e470088012ef2f1e56d3f2bcd1a9166f00e015d9b59e
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
  Attempting uninstall: gpkitmodels
    Found existing installation: gpkitmodels 0.0.0.0
    Uninstalling gpkitmodels-0.0.0.0:
      Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0

Running tests...
----------------------------------------------------------------------
../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.......
----------------------------------------------------------------------
Ran 16 tests in 158.344s

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 1.56 seconds.
Using solver 'mosek_conif'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0792 seconds.
Using solver 'mosek_cli'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 1.25 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.505 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.183 seconds.
Starting a sequence of GP solves
 for 53 free variables
  in 11 locally-GP constraints
  and for 129 free variables
       in 211 posynomial inequalities.
Solving took 61.7 seconds and 16 GP solves.
Using solver 'mosek_conif'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.0499 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0244 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0379 seconds.
Starting a sequence of GP solves
 for 53 free variables
  in 11 locally-GP constraints
  and for 129 free variables
       in 211 posynomial inequalities.
Solving took 1.92 seconds and 16 GP solves.
Using solver 'mosek_cli'
 for 13 free variables
  in 16 posynomial inequalities.
Solving took 1.16 seconds.
Starting a sequence of GP solves
 for 53 free variables
  in 11 locally-GP constraints
  and for 117 free variables
       in 190 posynomial inequalities.
Solving took 25.7 seconds and 11 GP solves.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Using solver 'mosek_conif'
 for 13 free variables
  in 16 posynomial inequalities.
Solving took 0.0345 seconds.
Starting a sequence of GP solves
 for 53 free variables
  in 11 locally-GP constraints
  and for 117 free variables
       in 190 posynomial inequalities.
Solving took 1.69 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 1619807.6974 but bound is 700000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3820 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.8980 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.2584 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860716.8236 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.0881 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1035 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 1910419.4564 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910418.8707 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 4 free variables
  in 1 locally-GP 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 1.83 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.597 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 1.62 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 1.97 seconds.
Solved cost was 4536.

Solving took 6.02 seconds and 4 GP solves.
Starting a sequence of GP solves
 for 4 free variables
  in 1 locally-GP 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 0.0744 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0501 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0667 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0409 seconds.
Solved cost was 4536.

Solving took 0.241 seconds and 4 GP solves.
Cloning into 'eVTOL'...

Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 10.676s

OK

Generating XML reports...
adding test for 'models/model_tests.py'

----------------------------------------------------------------------
Ran 239 tests in 229.382s

OK
Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...

Attempting to find and build solvers:

#
# Looking for mosek_cli
#   Trying to run mskexpopt...
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# `mskexpopt` is not in system path, let's try adding it.
#   Trying to run mskexpopt...
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in /home/jenkins/mosek/8/tools/platform/linux64x86/bin
#
#
# Looking for mosek_conif
#   Trying to import mosek...
# Found mosek_conif in Python path
#
#
# Looking for cvxopt
#   Trying to import cvxopt...
# Found cvxopt in Python path
#
...finished building gpkit.
Replaced found solvers (['mosek_cli', 'mosek_conif', 'cvxopt']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)

Found the following solvers: mosek_cli, mosek_conif
#     Replacing directory env

GPkit is now installed with solver(s) ['mosek_cli', 'mosek_conif']
To incorporate new solvers at a later date, run `gpkit.build()`.

If any tests didn't pass, please post the output above
(starting from "Found no installed solvers, beginning a build.")
to gpkit@mit.edu or https://github.com/convexengineering/gpkit/issues/new
so we can prevent others from having these errors.

The same goes for any other bugs you encounter with GPkit:
send 'em our way, along with any interesting models, speculative features,
comments, discussions, or clarifications you feel like sharing.

Finally, we hope you find our documentation (https://gpkit.readthedocs.io/)
and engineering-design models (https://github.com/convexengineering/gplibrary/)
to be useful resources for your own applications.

Enjoy!

calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '--no-cache-dir', '--no-deps', '-e', 'gplibrary']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/SPaircraft.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'git+https://github.com/hoburg/turbofan.git', 'gpkit-models branch': 'master'})

calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/turbofan.git']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/robust.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {})

calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
  attempt 1
  attempt 2
  attempt 3
  attempt 4
  attempt 5
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/shopping.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {})

calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gassolar.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})

calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/jho.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git', 'gpkit-models branch': 'master'})

calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/turbofan.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt, mosek_cli', 'gpkit-models branch': 'master'})

calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/solar.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt', 'pip install': 'pandas, git+https://github.com/convexengineering/gpfit.git, git+https://github.com/convexengineering/gassolar.git', 'gpkit-models branch': 'master'})

calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gpfit.git']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gassolar.git']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
  attempt 1
  attempt 2
  attempt 3
  attempt 4
  attempt 5

SETTINGS
defaultdict(<class 'str'>, {'pip install': 'pandas, git+https://github.com/hoburg/gpfit.git'})

calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
  attempt 1
calling ['python', '/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/bin/pip', 'install', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/eVTOL.git']
  attempt 1

SETTINGS
defaultdict(<class 'str'>, {'skipsolvers': 'cvxopt'})

[Execution node] check if [reynolds] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
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