Started by upstream project "CE_gpkit_PR_research_models" build number 494
originally caused by:
 GitHub pull request #1546 of commit 0df34d2f06c2bb8cad6149cd62a314045d6a11dc, no merge conflicts.
Running as SYSTEM
[EnvInject] - Loading node environment variables.
Building remotely on macys_VM in workspace /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek
The recommended git tool is: NONE
using credential 3614a4cf-01de-4393-97de-73734b7dd5a2
Wiping out workspace first.
Cloning the remote Git repository
Cloning repository https://github.com/convexengineering/gpkit
 > git init /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gpkit
 > git --version # timeout=10
 > git --version # 'git version 2.17.2 (Apple Git-113)'
using GIT_SSH to set credentials 
 > git fetch --tags --progress -- https://github.com/convexengineering/gpkit +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gpkit
using GIT_SSH to set credentials 
 > git fetch --tags --progress -- https://github.com/convexengineering/gpkit +refs/pull/*:refs/remotes/origin/pr/* +refs/heads/master:refs/remotes/origin/master # timeout=10
Merging Revision ff12910f231a920aa0173ce5534f1aea2b180539 (refs/remotes/origin/pr/1546/merge) to origin/master, UserMergeOptions{mergeRemote='origin', mergeTarget='master', mergeStrategy='DEFAULT', fastForwardMode='FF'}
 > git rev-parse origin/master^{commit} # timeout=10
 > git config core.sparsecheckout # timeout=10
 > git checkout -f origin/master # timeout=3
 > git remote # timeout=10
 > git config --get remote.origin.url # timeout=10
using GIT_SSH to set credentials 
 > git merge --ff ff12910f231a920aa0173ce5534f1aea2b180539 # timeout=10
 > git rev-parse HEAD^{commit} # timeout=10
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 > git show-ref --tags -d # timeout=10
JENKINS-19022: warning: possible memory leak due to Git plugin usage; see: https://plugins.jenkins.io/git/#remove-git-plugin-buildsbybranch-builddata-script
Checking out Revision ff12910f231a920aa0173ce5534f1aea2b180539 (origin/pr/1546/merge, origin/master)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f ff12910f231a920aa0173ce5534f1aea2b180539 # timeout=3
Commit message: "Merge 0df34d2f06c2bb8cad6149cd62a314045d6a11dc into a9bb50b9399f3753cfc8ab771c655e5c6891df04"
Using 'Changelog to branch' strategy.
The recommended git tool is: NONE
using credential 3614a4cf-01de-4393-97de-73734b7dd5a2
 > git rev-parse ff12910f231a920aa0173ce5534f1aea2b180539^{commit} # timeout=10
The recommended git tool is: NONE
using credential 3614a4cf-01de-4393-97de-73734b7dd5a2
[GitCheckoutListener] Recording commits of 'git https://github.com/convexengineering/gpkit'
[GitCheckoutListener] Found previous build 'CE_gpkit_PR_research_models/buildnode=macys_VM,optimizer=mosek #493' that contains recorded Git commits
[GitCheckoutListener] -> Starting recording of new commits since '1397a6966766e91e387e905cbe2b0a28cbebf64f'
[GitCheckoutListener] -> Git commit decorator successfully obtained 'hudson.plugins.git.browser.GithubWeb@5bc6682d' to render commit links
[GitCheckoutListener] -> Recorded 200 new commits
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="Breakdowns" href="https://github.com/convexengineering/gpkit/pull/1546">PR 1546</a>: Breakdowns
[Execution node] check if [macys_VM] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]]
Run condition [Execution node ] enabling perform for step [Execute shell]
[mosek] $ /bin/bash -xe /var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/jenkins5929720731781196973.sh
+ git clone ssh://acdl.mit.edu/home/svnroot/JenkinsGPkit
Cloning into 'JenkinsGPkit'...
+ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/gpkit_PR_research_models.sh
++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/all_machines.sh
+++ [[ macys_VM == *macys* ]]
+++ export PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ virtualenv --python=python3 /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit
created virtual environment CPython3.7.7.final.0-64 in 754ms
  creator CPython3Posix(dest=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit, clear=False, global=False)
  seeder FromAppData(download=False, pip=latest, setuptools=latest, wheel=latest, via=copy, app_data_dir=/Users/jenkins/Library/Application Support/virtualenv/seed-app-data/v1.0.1)
  activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator
+++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/activate
++++ '[' /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/activate = /var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/jenkins5929720731781196973.sh ']'
++++ deactivate nondestructive
++++ unset -f pydoc
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ '[' -n /bin/bash ']'
++++ hash -r
++++ '[' -z '' ']'
++++ unset VIRTUAL_ENV
++++ '[' '!' nondestructive = nondestructive ']'
++++ VIRTUAL_ENV=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit
++++ export VIRTUAL_ENV
++++ _OLD_VIRTUAL_PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
++++ PATH=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
++++ export PATH
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ _OLD_VIRTUAL_PS1=
++++ '[' x '!=' x ']'
+++++ basename /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit
++++ PS1='(venv2_gpkit) '
++++ export PS1
++++ alias pydoc
++++ true
++++ '[' -n /bin/bash ']'
++++ hash -r
+++ ls /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek
CODE_OF_CONDUCT.md
JenkinsGPkit
LICENSE
MANIFEST
README.md
docs
fulltests.sh
gpkit
linecount.sh
pylint.sh
rtd_requirements.txt
runtests.sh
setup.py
venv2_gpkit
++++ which pip
+++ export PIP=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip
+++ PIP=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip
+++ pip_install pip
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pip
Collecting pip
  Using cached pip-21.1.3-py3-none-any.whl (1.5 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.1.1
    Uninstalling pip-20.1.1:
      Successfully uninstalled pip-20.1.1
Successfully installed pip-21.1.3
++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/mosek_installs.sh
+++ [[ mosek == mosek ]]
+++ [[ macys_VM == *reynolds* ]]
+++ [[ macys_VM == *macys* ]]
+++ export PATH=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ PATH=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ export DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ DYLD_LIBRARY_PATH=:/Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin
+++ python /Users/jenkins/mosek/9.1/tools/platform/osx64x86/python/3/setup.py install
running install
running build
running build_py
running build_ext
copying mosek/_msk.abi3.so -> build/lib.macosx-10.13-x86_64-3.7/mosek
copying mosek/fusion/impl/fragments.abi3.so -> build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl
running install_lib
creating /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek
creating /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion
creating /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl
copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl/fragments.abi3.so -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl
copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl/__init__.py -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl
copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/impl/_implementation.py -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl
copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/__init__.py -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion
copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/Utils.py -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion
copying build/lib.macosx-10.13-x86_64-3.7/mosek/__init__.py -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek
copying build/lib.macosx-10.13-x86_64-3.7/mosek/_msk.abi3.so -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek
byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/__init__.py to __init__.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/_implementation.py to _implementation.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/__init__.py to __init__.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/Utils.py to Utils.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/__init__.py to __init__.cpython-37.pyc
running install_egg_info
Writing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/Mosek-9.1.11-py3.7.egg-info
Fixing library paths
copying /Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin/libcilkrts.5.dylib -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/
copying /Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin/libmosek64.9.1.dylib -> /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/
Installing preloader module
writing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/_mskpreload.py
+++ msktestlic
Mosek license manager: License path: /Users/jenkins/mosek/mosek.lic
Mosek license manager:  Checkout license feature 'PTS' from flexlm.
Mosek license manager:  Checkout time 0.01. r: 0 status: 0
Problem
  Name                   :                 
  Objective sense        : min             
  Type                   : LO (linear optimization problem)
  Constraints            : 1               
  Cones                  : 0               
  Scalar variables       : 5000            
  Matrix variables       : 0               
  Integer variables      : 0               

Optimizer started.
Presolve started.
Eliminator started.
Freed constraints in eliminator : 0
Eliminator terminated.
Eliminator started.
Freed constraints in eliminator : 0
Eliminator terminated.
Eliminator - tries                  : 2                 time                   : 0.00            
Lin. dep.  - tries                  : 0                 time                   : 0.00            
Lin. dep.  - number                 : 0               
Presolve terminated. Time: 0.00    
Optimizer terminated. Time: 0.00    

************************************
A license was checked out correctly.
************************************
+++ export 'GPKITSOLVERS=mosek_cli, mosek_conif'
+++ GPKITSOLVERS='mosek_cli, mosek_conif'
+++ COVERAGE_OMIT=gpkit/solvers/cvxopt.py
++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/cvxopt_installs.sh
+++ [[ mosek == cvxopt ]]
++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/pip_installs_base.sh
+++ pip_install ad
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade ad
Collecting ad
  Using cached ad-1.3.2-py3-none-any.whl
Installing collected packages: ad
Successfully installed ad-1.3.2
+++ pip_install xmlrunner
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade xmlrunner
Collecting xmlrunner
  Using cached xmlrunner-1.7.7-py3-none-any.whl
Installing collected packages: xmlrunner
Successfully installed xmlrunner-1.7.7
+++ pip_install pandas
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pandas
Collecting pandas
  Using cached pandas-1.3.0-cp37-cp37m-macosx_10_9_x86_64.whl (11.3 MB)
Collecting pytz>=2017.3
  Using cached pytz-2021.1-py2.py3-none-any.whl (510 kB)
Collecting numpy>=1.17.3
  Using cached numpy-1.21.0-cp37-cp37m-macosx_10_9_x86_64.whl (16.8 MB)
Collecting python-dateutil>=2.7.3
  Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
Collecting six>=1.5
  Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: six, pytz, python-dateutil, numpy, pandas
Successfully installed numpy-1.21.0 pandas-1.3.0 python-dateutil-2.8.2 pytz-2021.1 six-1.16.0
+++ pip_install matplotlib
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade matplotlib
Collecting matplotlib
  Using cached matplotlib-3.4.2-cp37-cp37m-macosx_10_9_x86_64.whl (7.2 MB)
Requirement already satisfied: numpy>=1.16 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (1.21.0)
Requirement already satisfied: python-dateutil>=2.7 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (2.8.2)
Collecting cycler>=0.10
  Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting kiwisolver>=1.0.1
  Using cached kiwisolver-1.3.1-cp37-cp37m-macosx_10_9_x86_64.whl (61 kB)
Collecting pillow>=6.2.0
  Using cached Pillow-8.3.1-cp37-cp37m-macosx_10_10_x86_64.whl (2.9 MB)
Collecting pyparsing>=2.2.1
  Using cached pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)
Requirement already satisfied: six in ./venv2_gpkit/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.16.0)
Installing collected packages: pyparsing, pillow, kiwisolver, cycler, matplotlib
Successfully installed cycler-0.10.0 kiwisolver-1.3.1 matplotlib-3.4.2 pillow-8.3.1 pyparsing-2.4.7
+++ pip_install coverage
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade coverage
Collecting coverage
  Using cached coverage-5.5-cp37-cp37m-macosx_10_9_x86_64.whl (207 kB)
Installing collected packages: coverage
Successfully installed coverage-5.5
+++ pip_install ipywidgets
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade ipywidgets
Collecting ipywidgets
  Using cached ipywidgets-7.6.3-py2.py3-none-any.whl (121 kB)
Collecting traitlets>=4.3.1
  Using cached traitlets-5.0.5-py3-none-any.whl (100 kB)
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Collecting widgetsnbextension~=3.5.0
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Collecting nbformat>=4.2.0
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Collecting importlib-metadata<4
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Collecting matplotlib-inline<0.2.0appnope,>=0.1.0
  Using cached matplotlib_inline-0.1.2-py3-none-any.whl (8.2 kB)
Collecting debugpy>=1.0.0
  Using cached debugpy-1.3.0-py2.py3-none-any.whl (4.2 MB)
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  Using cached jupyter_client-6.1.12-py3-none-any.whl (112 kB)
Collecting tornado>=4.2
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Collecting zipp>=0.5
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Collecting jedi>=0.16
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Collecting appnope
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Collecting decorator
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Collecting pygments
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  Using cached pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB)
Requirement already satisfied: setuptools>=18.5 in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets) (47.1.1)
Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0
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Collecting parso<0.9.0,>=0.8.0
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Collecting jsonschema!=2.5.0,>=2.4
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Collecting jupyter-core
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Collecting ipython-genutils
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Collecting attrs>=17.4.0
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Collecting pyrsistent>=0.14.0
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Requirement already satisfied: six>=1.11.0 in ./venv2_gpkit/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets) (1.16.0)
Collecting ptyprocess>=0.5
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Collecting wcwidth
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Collecting notebook>=4.4.1
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Collecting prometheus-client
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Collecting pyzmq>=17
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Collecting argon2-cffi
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Collecting terminado>=0.8.3
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Collecting nbconvert
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Collecting Send2Trash>=1.5.0
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Collecting jinja2
  Using cached Jinja2-3.0.1-py3-none-any.whl (133 kB)
Requirement already satisfied: python-dateutil>=2.1 in ./venv2_gpkit/lib/python3.7/site-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets) (2.8.2)
Collecting cffi>=1.0.0
  Using cached cffi-1.14.6-cp37-cp37m-macosx_10_9_x86_64.whl (176 kB)
Collecting pycparser
  Using cached pycparser-2.20-py2.py3-none-any.whl (112 kB)
Collecting MarkupSafe>=2.0
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Collecting testpath
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Collecting bleach
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Collecting nbclient<0.6.0,>=0.5.0
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Collecting entrypoints>=0.2.2
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Collecting mistune<2,>=0.8.1
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Collecting pandocfilters>=1.4.1
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Collecting defusedxml
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Collecting jupyterlab-pygments
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Collecting nest-asyncio
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Collecting async-generator
  Using cached async_generator-1.10-py3-none-any.whl (18 kB)
Collecting packaging
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Collecting webencodings
  Using cached webencodings-0.5.1-py2.py3-none-any.whl (11 kB)
Requirement already satisfied: pyparsing>=2.0.2 in ./venv2_gpkit/lib/python3.7/site-packages (from packaging->bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.4.7)
Installing collected packages: zipp, typing-extensions, ipython-genutils, traitlets, pyrsistent, importlib-metadata, attrs, wcwidth, tornado, pyzmq, ptyprocess, parso, jupyter-core, jsonschema, webencodings, pygments, pycparser, prompt-toolkit, pickleshare, pexpect, packaging, nest-asyncio, nbformat, matplotlib-inline, MarkupSafe, jupyter-client, jedi, decorator, backcall, async-generator, appnope, testpath, pandocfilters, nbclient, mistune, jupyterlab-pygments, jinja2, ipython, entrypoints, defusedxml, debugpy, cffi, bleach, terminado, Send2Trash, prometheus-client, nbconvert, ipykernel, argon2-cffi, notebook, widgetsnbextension, jupyterlab-widgets, ipywidgets
Successfully installed MarkupSafe-2.0.1 Send2Trash-1.7.1 appnope-0.1.2 argon2-cffi-20.1.0 async-generator-1.10 attrs-21.2.0 backcall-0.2.0 bleach-3.3.1 cffi-1.14.6 debugpy-1.3.0 decorator-5.0.9 defusedxml-0.7.1 entrypoints-0.3 importlib-metadata-3.10.1 ipykernel-6.0.1 ipython-7.25.0 ipython-genutils-0.2.0 ipywidgets-7.6.3 jedi-0.18.0 jinja2-3.0.1 jsonschema-3.2.0 jupyter-client-6.1.12 jupyter-core-4.7.1 jupyterlab-pygments-0.1.2 jupyterlab-widgets-1.0.0 matplotlib-inline-0.1.2 mistune-0.8.4 nbclient-0.5.3 nbconvert-6.1.0 nbformat-5.1.3 nest-asyncio-1.5.1 notebook-6.4.0 packaging-21.0 pandocfilters-1.4.3 parso-0.8.2 pexpect-4.8.0 pickleshare-0.7.5 prometheus-client-0.11.0 prompt-toolkit-3.0.19 ptyprocess-0.7.0 pycparser-2.20 pygments-2.9.0 pyrsistent-0.18.0 pyzmq-22.1.0 terminado-0.10.1 testpath-0.5.0 tornado-6.1 traitlets-5.0.5 typing-extensions-3.10.0.0 wcwidth-0.2.5 webencodings-0.5.1 widgetsnbextension-3.5.1 zipp-3.5.0
+++ pip_install ipysankeywidget
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade ipysankeywidget
Collecting ipysankeywidget
  Using cached ipysankeywidget-0.4.1-py2.py3-none-any.whl (1.2 MB)
Requirement already satisfied: ipywidgets>=7.0.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipysankeywidget) (7.6.3)
Requirement already satisfied: ipython>=4.0.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipywidgets>=7.0.0->ipysankeywidget) (7.25.0)
Requirement already satisfied: widgetsnbextension~=3.5.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipywidgets>=7.0.0->ipysankeywidget) (3.5.1)
Requirement already satisfied: ipykernel>=4.5.1 in ./venv2_gpkit/lib/python3.7/site-packages (from ipywidgets>=7.0.0->ipysankeywidget) (6.0.1)
Requirement already satisfied: traitlets>=4.3.1 in ./venv2_gpkit/lib/python3.7/site-packages (from ipywidgets>=7.0.0->ipysankeywidget) (5.0.5)
Requirement already satisfied: nbformat>=4.2.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipywidgets>=7.0.0->ipysankeywidget) (5.1.3)
Requirement already satisfied: jupyterlab-widgets>=1.0.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipywidgets>=7.0.0->ipysankeywidget) (1.0.0)
Requirement already satisfied: debugpy>=1.0.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.0.0->ipysankeywidget) (1.3.0)
Requirement already satisfied: tornado>=4.2 in ./venv2_gpkit/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.0.0->ipysankeywidget) (6.1)
Requirement already satisfied: jupyter-client in ./venv2_gpkit/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.0.0->ipysankeywidget) (6.1.12)
Requirement already satisfied: matplotlib-inline<0.2.0appnope,>=0.1.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.0.0->ipysankeywidget) (0.1.2)
Requirement already satisfied: importlib-metadata<4 in ./venv2_gpkit/lib/python3.7/site-packages (from ipykernel>=4.5.1->ipywidgets>=7.0.0->ipysankeywidget) (3.10.1)
Requirement already satisfied: typing-extensions>=3.6.4 in ./venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata<4->ipykernel>=4.5.1->ipywidgets>=7.0.0->ipysankeywidget) (3.10.0.0)
Requirement already satisfied: zipp>=0.5 in ./venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata<4->ipykernel>=4.5.1->ipywidgets>=7.0.0->ipysankeywidget) (3.5.0)
Requirement already satisfied: pexpect>4.3 in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (4.8.0)
Requirement already satisfied: setuptools>=18.5 in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (47.1.1)
Requirement already satisfied: pygments in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (2.9.0)
Requirement already satisfied: decorator in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (5.0.9)
Requirement already satisfied: backcall in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (0.2.0)
Requirement already satisfied: pickleshare in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (0.7.5)
Requirement already satisfied: jedi>=0.16 in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (0.18.0)
Requirement already satisfied: appnope in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (0.1.2)
Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in ./venv2_gpkit/lib/python3.7/site-packages (from ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (3.0.19)
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Requirement already satisfied: ipython-genutils in ./venv2_gpkit/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.0.0->ipysankeywidget) (0.2.0)
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Requirement already satisfied: jupyter-core in ./venv2_gpkit/lib/python3.7/site-packages (from nbformat>=4.2.0->ipywidgets>=7.0.0->ipysankeywidget) (4.7.1)
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Requirement already satisfied: six>=1.11.0 in ./venv2_gpkit/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.0.0->ipysankeywidget) (1.16.0)
Requirement already satisfied: attrs>=17.4.0 in ./venv2_gpkit/lib/python3.7/site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets>=7.0.0->ipysankeywidget) (21.2.0)
Requirement already satisfied: ptyprocess>=0.5 in ./venv2_gpkit/lib/python3.7/site-packages (from pexpect>4.3->ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (0.7.0)
Requirement already satisfied: wcwidth in ./venv2_gpkit/lib/python3.7/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0->ipywidgets>=7.0.0->ipysankeywidget) (0.2.5)
Requirement already satisfied: notebook>=4.4.1 in ./venv2_gpkit/lib/python3.7/site-packages (from widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (6.4.0)
Requirement already satisfied: prometheus-client in ./venv2_gpkit/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (0.11.0)
Requirement already satisfied: jinja2 in ./venv2_gpkit/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (3.0.1)
Requirement already satisfied: argon2-cffi in ./venv2_gpkit/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (20.1.0)
Requirement already satisfied: pyzmq>=17 in ./venv2_gpkit/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (22.1.0)
Requirement already satisfied: Send2Trash>=1.5.0 in ./venv2_gpkit/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (1.7.1)
Requirement already satisfied: nbconvert in ./venv2_gpkit/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (6.1.0)
Requirement already satisfied: terminado>=0.8.3 in ./venv2_gpkit/lib/python3.7/site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (0.10.1)
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Requirement already satisfied: cffi>=1.0.0 in ./venv2_gpkit/lib/python3.7/site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (1.14.6)
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Requirement already satisfied: testpath in ./venv2_gpkit/lib/python3.7/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (0.5.0)
Requirement already satisfied: bleach in ./venv2_gpkit/lib/python3.7/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (3.3.1)
Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in ./venv2_gpkit/lib/python3.7/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (0.5.3)
Requirement already satisfied: pandocfilters>=1.4.1 in ./venv2_gpkit/lib/python3.7/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (1.4.3)
Requirement already satisfied: defusedxml in ./venv2_gpkit/lib/python3.7/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (0.7.1)
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Requirement already satisfied: entrypoints>=0.2.2 in ./venv2_gpkit/lib/python3.7/site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (0.3)
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Requirement already satisfied: nest-asyncio in ./venv2_gpkit/lib/python3.7/site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (1.5.1)
Requirement already satisfied: packaging in ./venv2_gpkit/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (21.0)
Requirement already satisfied: webencodings in ./venv2_gpkit/lib/python3.7/site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (0.5.1)
Requirement already satisfied: pyparsing>=2.0.2 in ./venv2_gpkit/lib/python3.7/site-packages (from packaging->bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets>=7.0.0->ipysankeywidget) (2.4.7)
Installing collected packages: ipysankeywidget
Successfully installed ipysankeywidget-0.4.1
+++ pip_install plotly
+++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade plotly
Collecting plotly
  Using cached plotly-5.1.0-py2.py3-none-any.whl (20.6 MB)
Collecting tenacity>=6.2.0
  Using cached tenacity-8.0.1-py3-none-any.whl (24 kB)
Requirement already satisfied: six in ./venv2_gpkit/lib/python3.7/site-packages (from plotly) (1.16.0)
Installing collected packages: tenacity, plotly
Successfully installed plotly-5.1.0 tenacity-8.0.1
++++ which coverage
+++ export COVERAGE=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/coverage
+++ COVERAGE=/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/coverage
++ pip_install numpy
++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade numpy
Requirement already satisfied: numpy in ./venv2_gpkit/lib/python3.7/site-packages (1.21.0)
++ pip_install scipy
++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade scipy
Collecting scipy
  Using cached scipy-1.7.0-cp37-cp37m-macosx_10_9_x86_64.whl (31.9 MB)
Requirement already satisfied: numpy<1.23.0,>=1.16.5 in ./venv2_gpkit/lib/python3.7/site-packages (from scipy) (1.21.0)
Installing collected packages: scipy
Successfully installed scipy-1.7.0
++ pip_install pint
++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --upgrade pint
Collecting pint
  Using cached Pint-0.17-py2.py3-none-any.whl (204 kB)
Requirement already satisfied: packaging in ./venv2_gpkit/lib/python3.7/site-packages (from pint) (21.0)
Requirement already satisfied: importlib-metadata in ./venv2_gpkit/lib/python3.7/site-packages (from pint) (3.10.1)
Requirement already satisfied: zipp>=0.5 in ./venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint) (3.5.0)
Requirement already satisfied: typing-extensions>=3.6.4 in ./venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in ./venv2_gpkit/lib/python3.7/site-packages (from packaging->pint) (2.4.7)
Installing collected packages: pint
Successfully installed pint-0.17
++ source /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/print_versions.sh
+++ python -c 'import scipy; print(scipy.__version__)'
1.7.0
+++ python -c 'import numpy; print(numpy.__version__)'
1.21.0
+++ python -c 'import pint; print(pint.__version__)'
0.17
+++ python -c 'import gpkit; print(gpkit.settings)'
/bin/sh: mskexpopt: command not found
No filename given.
Usage:
     mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
............................................................................................................................................................../Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 0.0099% (9.99901e-31 to 1e-30) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
................................................................................/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_classes.py:152: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  v = np.array(v)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_classes.py:152: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  v = np.array(v)
................/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_classes.py:152: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  v = np.array(v)
........................
----------------------------------------------------------------------
Ran 279 tests in 38.480s

OK
Found no installed solvers, beginning a build.
# Building GPkit version 1.0.0pre
# Moving to the directory from which GPkit was imported.

Attempting to find and build solvers:

# Looking for `mosek_cli`
#   (A "success" is if mskexpopt complains that
#    we haven't specified a file for it to open.)
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Looks like `mskexpopt` was not found in the default PATH,
#  so let's try locating that binary ourselves.
#   Adding /Users/jenkins/mosek/8/tools/platform/osx64x86/bin to the PATH
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##

Found mosek_cli in /Users/jenkins/mosek/8/tools/platform/osx64x86/bin

# Looking for `mosek_conif`
#   Trying to import mosek...

Found mosek_conif in the default PYTHONPATH

# Looking for `cvxopt`
#   Trying to import cvxopt...
# Did not find
# cvxopt
Replaced found solvers (['mosek_cli', 'mosek_conif']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)

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

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

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

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

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

Enjoy!

{'installed_solvers': ['mosek_cli', 'mosek_conif'], 'mosek_bin_dir': '/Users/jenkins/mosek/8/tools/platform/osx64x86/bin', 'default_solver': 'mosek_cli', 'just built!': True}
++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --no-cache-dir -e /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/
Obtaining file:///Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek
Requirement already satisfied: numpy>=1.16.4 in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.21.0)
Requirement already satisfied: pint>=0.8.1 in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (0.17)
Requirement already satisfied: scipy in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.7.0)
Requirement already satisfied: ad in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.3.2)
Collecting cvxopt>=1.1.8
  Downloading cvxopt-1.2.6-cp37-cp37m-macosx_10_9_x86_64.whl (3.1 MB)
Requirement already satisfied: importlib-metadata in ./venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit==1.0.0) (3.10.1)
Requirement already satisfied: packaging in ./venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit==1.0.0) (21.0)
Requirement already satisfied: typing-extensions>=3.6.4 in ./venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit==1.0.0) (3.10.0.0)
Requirement already satisfied: zipp>=0.5 in ./venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit==1.0.0) (3.5.0)
Requirement already satisfied: pyparsing>=2.0.2 in ./venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit==1.0.0) (2.4.7)
Installing collected packages: cvxopt, gpkit
  Running setup.py develop for gpkit
Successfully installed cvxopt-1.2.6 gpkit-1.0.0
++ export MSK_IPAR_NUM_THREADS=2
++ MSK_IPAR_NUM_THREADS=2
++ export MKL_NUM_THREADS=2
++ MKL_NUM_THREADS=2
++ export NUMEXPR_NUM_THREADS=2
++ NUMEXPR_NUM_THREADS=2
++ export OPENBLAS_NUM_THREADS=2
++ OPENBLAS_NUM_THREADS=2
++ export OMP_NUM_THREADS=2
++ OMP_NUM_THREADS=2
++ python -c 'from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)'
/bin/sh: mskexpopt: command not found
No filename given.
Usage:
     mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
............................................................................................................................................................../Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 0.0099% (9.99901e-31 to 1e-30) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
................................................................................/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_classes.py:152: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  v = np.array(v)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_classes.py:152: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  v = np.array(v)
................/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_classes.py:152: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  v = np.array(v)
........................Cloning into 'gplibrary'...
Obtaining file:///Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gplibrary
Installing collected packages: gpkitmodels
  Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
Cloning into 'SPaircraft'...
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Checking out files: 100% (3433/3433), done.
Collecting git+https://github.com/hoburg/turbofan.git
  Cloning https://github.com/hoburg/turbofan.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-b_0372b8
  Running command git clone -q https://github.com/hoburg/turbofan.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-b_0372b8
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.7.0)
Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (0.17)
Collecting future
  Using cached future-0.18.2-py3-none-any.whl
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint->turbofan==0.0.0.0) (3.10.1)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint->turbofan==0.0.0.0) (21.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint->turbofan==0.0.0.0) (3.5.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint->turbofan==0.0.0.0) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint->turbofan==0.0.0.0) (2.4.7)
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=a2d7532ee054a2e4e1fbdaf20022ee15a2f170c6933ed92971fe65b1dcbb6909
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-4s0rqlug/wheels/5e/94/24/992cb23a6749c3bad249589806341b6bef6786d3794831a01c
Successfully built turbofan
Installing collected packages: future, turbofan
Successfully installed future-0.18.2 turbofan-0.0.0.0
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/SPaircraft
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: turbofan in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from SPaircraft==0.0.0) (0.0.0.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from SPaircraft==0.0.0) (1.0.0)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from SPaircraft==0.0.0) (0.18.2)
Requirement already satisfied: numpy>=1.16.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->SPaircraft==0.0.0) (1.21.0)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->SPaircraft==0.0.0) (0.17)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->SPaircraft==0.0.0) (1.7.0)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->SPaircraft==0.0.0) (1.2.6)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->SPaircraft==0.0.0) (21.0)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->SPaircraft==0.0.0) (3.10.1)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->SPaircraft==0.0.0) (3.10.0.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->SPaircraft==0.0.0) (3.5.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->SPaircraft==0.0.0) (2.4.7)
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=a17987821cce90265138ef098dd1e7ff8d0af7e6d5f34e085c88e663112829f9
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-0lukjjno/wheels/ad/52/68/f211eb375e991b907fddc35682e08b1fb4e4fe5d5d3a393d7b
Successfully built SPaircraft
Installing collected packages: SPaircraft
Successfully installed SPaircraft-0.0.0

Running tests...
----------------------------------------------------------------------
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py:437: RuntimeWarning: divide by zero encountered in log
  for i, mi in enumerate(self.m_idxs) if la[i])
.
----------------------------------------------------------------------
Ran 2 tests in 31.577s

OK

Generating XML reports...
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 4699 posynomial inequalities.

GP Solve 1
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.957 seconds.
Solved cost was 3.964e+40.

GP Solve 2
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 1.03 seconds.
Solved cost was 4.016e+10.

GP Solve 3
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.481 seconds.
Solved cost was 3.194e+05.

GP Solve 4
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.697 seconds.
Solved cost was 2.931e+04.

GP Solve 5
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.54 seconds.
Solved cost was 2.498e+04.

GP Solve 6
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.607 seconds.
Solved cost was 2.381e+04.

GP Solve 7
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.685 seconds.
Solved cost was 2.328e+04.

GP Solve 8
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.534 seconds.
Solved cost was 2.303e+04.

Solving took 7.45 seconds and 8 GP solves.
WEIGHT DIFFERENCES


Total Fuel Weight Percent Diff: [-14.58138901]


Total Aircraft Weight Percent Diff: [-0.74792307]


Engine Weight Percent Diff: -31.67914809588868


Fuselage Weight Percent Diff: 2.6526976812611798


Payload Weight Percent Diff: [-0.04052335]


VT Weight Percent Diff: 36.22236394721402


HT Weight Percent Diff: -97.00040734222272


Wing Weight Percent Diff: 6.301579926786875




WING DIFFERENCES


Wing Span Percent Diff: -4.037425783973113


Wing Area Percent Diff: 20.489118201482633




HORIZONTAL TAIL DIFFERENCES


HT Area Percent Diff: 31.219167770389394




VERTICAL TAIL DIFFERENCES




VT Span Percent Diff: 0.9750022574577574


VT Area Percent Diff: -48.98405758832487




CRUISE SEGMENT 1 DRAG DIFFERENCES


Overall Cd Percent Diff: [-29.23181213]


L/D Percent Diff: [16.07581914]


Nacelle Cd Percent Diff: [-2.28231027]


HT Cd Percent Diff: [-97.20242594283614] dimensionless


Fuselage Cd Percent Diff: [108.78744865]


VT Cd Percent Diff: [-35.673268150957] dimensionless


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




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.5428649]




FUSELAGE DIFFERENCES




Weight of HB material: -30.533207315447154 


Weight of VB material: 115.88094901039845 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.80046551]
Starting a sequence of GP solves
 for 317 free variables
  in 136 locally-GP constraints
  and for 1198 free variables
       in 4699 posynomial inequalities.

GP Solve 1
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.627 seconds.
Solved cost was 3.965e+40.

GP Solve 2
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.494 seconds.
Solved cost was 4.016e+10.

GP Solve 3
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.566 seconds.
Solved cost was 3.194e+05.

GP Solve 4
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.736 seconds.
Solved cost was 2.931e+04.

GP Solve 5
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.451 seconds.
Solved cost was 2.498e+04.

GP Solve 6
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.624 seconds.
Solved cost was 2.381e+04.

GP Solve 7
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.625 seconds.
Solved cost was 2.328e+04.

GP Solve 8
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.734 seconds.
Solved cost was 2.303e+04.

Solving took 6.54 seconds and 8 GP solves.
WEIGHT DIFFERENCES


Total Fuel Weight Percent Diff: [-14.58138901]


Total Aircraft Weight Percent Diff: [-0.74792307]


Engine Weight Percent Diff: -31.67942137874977


Fuselage Weight Percent Diff: 2.6526976812611798


Payload Weight Percent Diff: [-0.04052335]


VT Weight Percent Diff: 36.220456847468455


HT Weight Percent Diff: -97.00045833486446


Wing Weight Percent Diff: 6.301579926786875




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: -48.98415962010767




CRUISE SEGMENT 1 DRAG DIFFERENCES


Overall Cd Percent Diff: [-29.2318829]


L/D Percent Diff: [16.07581914]


Nacelle Cd Percent Diff: [-2.28279886]


HT Cd Percent Diff: [-97.20243993067143] dimensionless


Fuselage Cd Percent Diff: [108.78744865]


VT Cd Percent Diff: [-35.673525457369756] dimensionless


Wing Cd percent Diff: [-29.62869661]
Induced Drag Cd Percent Diff: [-33.69791978]




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.54283656]




FUSELAGE DIFFERENCES




Weight of HB material: -30.531679029196983 


Weight of VB material: 115.86670133794205 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.80046503]
Starting a sequence of GP solves
 for 317 free variables
  in 136 locally-GP constraints
  and for 1198 free variables
       in 4699 posynomial inequalities.

GP Solve 1
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.519 seconds.
Solved cost was 3.965e+40.

GP Solve 2
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.403 seconds.
Solved cost was 2.962e+10.

GP Solve 3
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.443 seconds.
Solved cost was 4.99e+05.

GP Solve 4
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.384 seconds.
Solved cost was 3.082e+04.

GP Solve 5
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.33 seconds.
Solved cost was 2.522e+04.

GP Solve 6
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.432 seconds.
Solved cost was 2.393e+04.

GP Solve 7
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.297 seconds.
Solved cost was 2.335e+04.

GP Solve 8
Using solver 'mosek_conif'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 0.298 seconds.
Solved cost was 2.306e+04.
Solution check warning: Dual cost nan does not match primal cost 23060.27903479937

Solving took 5.26 seconds and 8 GP solves.
WEIGHT DIFFERENCES


Total Fuel Weight Percent Diff: [-14.46200831]


Total Aircraft Weight Percent Diff: [-0.47863416]


Engine Weight Percent Diff: -30.88552785289973


Fuselage Weight Percent Diff: 3.0468697264703706


Payload Weight Percent Diff: [-0.04003539]


VT Weight Percent Diff: 37.15110966078802


HT Weight Percent Diff: -96.99294474026814


Wing Weight Percent Diff: 6.454825486616612




WING DIFFERENCES


Wing Span Percent Diff: -4.069658776643494


Wing Area Percent Diff: 20.57122470047784




HORIZONTAL TAIL DIFFERENCES


HT Area Percent Diff: 31.541536451890448




VERTICAL TAIL DIFFERENCES




VT Span Percent Diff: 1.1515315172942007


VT Area Percent Diff: -48.8055943561445




CRUISE SEGMENT 1 DRAG DIFFERENCES


Overall Cd Percent Diff: [-29.22668499]


L/D Percent Diff: [15.98314445]


Nacelle Cd Percent Diff: [-1.32245729]


HT Cd Percent Diff: [-97.19566185995136] dimensionless


Fuselage Cd Percent Diff: [108.78752887]


VT Cd Percent Diff: [-35.46197618520338] dimensionless


Wing Cd percent Diff: [-29.70221581]
Induced Drag Cd Percent Diff: [-33.7054874]




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.63173278]




FUSELAGE DIFFERENCES




Weight of HB material: -48.55910337835982 


Weight of VB material: 117.25595705573251 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.80269078]
Cloning into 'robust'...
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust) (from versions: none)
ERROR: No matching distribution found for gplibrary
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust) (from versions: none)
ERROR: No matching distribution found for gplibrary
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust) (from versions: none)
ERROR: No matching distribution found for gplibrary
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust) (from versions: none)
ERROR: No matching distribution found for gplibrary
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust) (from versions: none)
ERROR: No matching distribution found for gplibrary

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

Running tests...
----------------------------------------------------------------------
..........................................
----------------------------------------------------------------------
Ran 42 tests in 132.293s

OK

Generating XML reports...
.
Running tests...
----------------------------------------------------------------------
..........................................
----------------------------------------------------------------------
Ran 42 tests in 77.349s

OK

Generating XML reports...
.
----------------------------------------------------------------------
Ran 2 tests in 210.928s

OK

Generating XML reports...
adding test for 'run_tests.py'
Solution check warning: Dual: sum of nu^T * A did not vanish.
Final PCCP solution let non-GP constraints slacken by 8.7%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Final PCCP solution let non-GP constraints slacken by 0.021%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Solution check warning: Dual: sum of nu^T * A did not vanish.
Final PCCP solution let non-GP constraints slacken by 5.3%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Solution check warning: Dual cost 11573.367751412063 does not match primal cost 11568.17
Final PCCP solution let non-GP constraints slacken by 0.5%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Solution check warning: Dual cost 36971410.62059064 does not match primal cost 36987480.0
Final PCCP solution let non-GP constraints slacken by 3.7%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Solution check warning: Dual: sum of nu^T * A did not vanish.
Final PCCP solution let non-GP constraints slacken by 1.7%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Final PCCP solution let non-GP constraints slacken by 0.038%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Solution check warning: Dual cost 13192137.13978857 does not match primal cost 13288957.937554326
Final PCCP solution let non-GP constraints slacken by 3.1%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Final PCCP solution let non-GP constraints slacken by 0.04%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Solution check warning: Dual: sum of nu^T * A did not vanish.
Final PCCP solution let non-GP constraints slacken by 13%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Final PCCP solution let non-GP constraints slacken by 0.029%. Calling .localsolve(pccp_penalty=...) with a higher `pccp_penalty` (it was 200 this time) will reduce slack if the model is solvable with less. To verify that the slack is needed, generate an SGP with `use_pccp=False` and start it from this model's solution: e.g. `m.localsolve(use_pccp=False, x0=m.solution["variables"])`.
Cloning into 'shopping'...

Running tests...
----------------------------------------------------------------------
...
----------------------------------------------------------------------
Ran 3 tests in 0.433s

OK

Generating XML reports...
adding test for 'test.py'
Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.0782 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.0672 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.0259 seconds.
Cloning into 'gassolar'...
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Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.3.0)
Requirement already satisfied: python-dateutil>=2.7.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.2)
Requirement already satisfied: numpy>=1.17.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.21.0)
Requirement already satisfied: pytz>=2017.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2021.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-4d8j1hqi
  Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-4d8j1hqi
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.7.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.17)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.6)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (3.10.1)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (21.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.10.0.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.5.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->gpfit==0.1) (2.4.7)
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=26510 sha256=8d521bfe80e5f5b12ce5cd688361278be8c368068279c201291b1ba35027738d
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-4njb313d/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gassolar
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.7.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.3.0)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.17)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.6)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (3.10.1)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (21.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gassolar==0.0.0.0) (3.5.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gassolar==0.0.0.0) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->gassolar==0.0.0.0) (2.4.7)
Requirement already satisfied: pytz>=2017.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2021.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.2)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas->gassolar==0.0.0.0) (1.16.0)
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=e7481657454d0cb2f58fd286e5a92904739584b51cc2de9c749a293b7b28291c
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-1skwrnbv/wheels/75/4b/9c/55e026860e0f74bd7d4510104c5d7ba848b3e850250bb6be0e
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0

Running tests...
----------------------------------------------------------------------
<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
.<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
.
----------------------------------------------------------------------
Ran 4 tests in 27.575s

OK

Generating XML reports...
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Using solver 'mosek_cli'
 for 592 free variables
  in 918 posynomial inequalities.
Solving took 0.184 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
Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 0.805 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
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Using solver 'mosek_conif'
 for 592 free variables
  in 918 posynomial inequalities.
Solving took 0.179 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
Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 0.906 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
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Using solver 'mosek_cli'
 for 1250 free variables
  in 1872 posynomial inequalities.
Solving took 0.438 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
Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.29 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
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Using solver 'mosek_conif'
 for 1250 free variables
  in 1872 posynomial inequalities.
Solving took 0.578 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102517.8543 but bound is 150000.0000
Warning: Variable Mission.FlightSegment1.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 101256.5171 but bound is 150000.0000
Warning: Variable Mission.FlightSegment2.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99984.1904 but bound is 150000.0000
Warning: Variable Mission.FlightSegment3.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99446.4138 but bound is 150000.0000
Warning: Variable Mission.FlightSegment9.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99610.9204 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102560.7448 but bound is 150000.0000
Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission1.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 4.63 seconds and 4 GP solves.
Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103382.7117 but bound is 150000.0000
Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103407.5332 but bound is 150000.0000
Cloning into 'jho'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.3.0)
Requirement already satisfied: pytz>=2017.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2021.1)
Requirement already satisfied: numpy>=1.17.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.21.0)
Requirement already satisfied: python-dateutil>=2.7.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.2)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-u4x3p05q
  Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-u4x3p05q
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.7.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.17)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.6)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (21.0)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (3.10.1)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.5.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->gpfit==0.1) (2.4.7)

Running tests...
----------------------------------------------------------------------
<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
.<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
.<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
.<string>:6: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
.
----------------------------------------------------------------------
Ran 4 tests in 31.576s

OK

Generating XML reports...
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.67 seconds and 4 GP solves.
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.04 seconds and 4 GP solves.
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.79 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.26 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.418
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.69 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Mission.Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.57 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.417
Cloning into 'turbofan'...
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/turbofan
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.7.0)
Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (0.17)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (0.18.2)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint->turbofan==0.0.0.0) (21.0)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint->turbofan==0.0.0.0) (3.10.1)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint->turbofan==0.0.0.0) (3.5.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint->turbofan==0.0.0.0) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint->turbofan==0.0.0.0) (2.4.7)
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=f28cdd67d27c6d1b5b903aa4e19a98fe182392525fa2be9aa38ac0407aa3ecb6
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-17f42oo2/wheels/4d/03/98/f79de28f80c623b90d210bc9f17a04f6f763e27fc06147f60c
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 1.120s

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 0.0812 seconds.
Solved cost was 7.929e+13.

GP Solve 2
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0282 seconds.
Solved cost was 31.03.

GP Solve 3
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0291 seconds.
Solved cost was 10.15.

GP Solve 4
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0303 seconds.
Solved cost was 7.827.

GP Solve 5
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0283 seconds.
Solved cost was 7.281.

GP Solve 6
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0295 seconds.
Solved cost was 7.108.

GP Solve 7
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0384 seconds.
Solved cost was 7.029.

GP Solve 8
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0302 seconds.
Solved cost was 6.991.

GP Solve 9
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0311 seconds.
Solved cost was 6.973.

GP Solve 10
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0331 seconds.
Solved cost was 6.965.

GP Solve 11
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0301 seconds.
Solved cost was 6.96.

GP Solve 12
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0306 seconds.
Solved cost was 6.958.

GP Solve 13
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0302 seconds.
Solved cost was 6.957.

Solving took 0.756 seconds and 13 GP solves.
Cloning into 'solar'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.3.0)
Requirement already satisfied: pytz>=2017.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2021.1)
Requirement already satisfied: numpy>=1.17.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.21.0)
Requirement already satisfied: python-dateutil>=2.7.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.2)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)
Collecting git+https://github.com/convexengineering/gpfit.git
  Cloning https://github.com/convexengineering/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-t2kw11it
  Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-t2kw11it
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.7.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.17)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.6)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (3.10.1)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (21.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.10.0.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.5.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->gpfit==0.1) (2.4.7)
Collecting git+https://github.com/convexengineering/gassolar.git
  Cloning https://github.com/convexengineering/gassolar.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-fxhif_8h
  Running command git clone -q https://github.com/convexengineering/gassolar.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-fxhif_8h
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.7.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.3.0)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.17)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.6)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (3.10.1)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gassolar==0.0.0.0) (21.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gassolar==0.0.0.0) (3.5.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gassolar==0.0.0.0) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->gassolar==0.0.0.0) (2.4.7)
Requirement already satisfied: python-dateutil>=2.7.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2021.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas->gassolar==0.0.0.0) (1.16.0)
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.7.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from solar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.3.0)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gplibrary (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (0.17)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (1.2.6)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (3.10.1)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->solar==0.0.0.0) (21.0)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->solar==0.0.0.0) (3.5.0)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->solar==0.0.0.0) (3.10.0.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->solar==0.0.0.0) (2.4.7)
Requirement already satisfied: pytz>=2017.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->solar==0.0.0.0) (2021.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->solar==0.0.0.0) (2.8.2)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas->solar==0.0.0.0) (1.16.0)
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=1c208a67b443a7d7b5ca41892ba38494718b2b67cdc79beecfb7ab4b3f9d8abc
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-q5zobw02/wheels/24/52/36/dc3de7f2ee9245ba0a91e76d816269ddc6d795d6c5d0d68de1
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0

Running tests...
----------------------------------------------------------------------
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission2.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission3.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission4.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission5.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
E/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gpfit/fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/array.py:119: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return np.asarray(input_array).view(cls)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,2] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,1] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,0] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,3] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:44: UserWarning: Linked function for Mission1.Climb.rho[0,4] did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
E
======================================================================
ERROR [2.800s]: test_solar_sens_chart_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 55, in test
    testfn(name, import_dict, path)(self)
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
    lambda self: getattr(self, name)()))  # pylint:disable=undefined-variable
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
    mod.test()
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar/solar/sens_chart.py", line 98, in test
    _ = get_highestsens(model, result)
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar/solar/sens_chart.py", line 52, in get_highestsens
    labels.append(lbl + "$ =%.2f$ %s" % (val, uts.replace("*", "")))
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 833, in __float__
    raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from 'meter / second ** 2' to 'dimensionless'

======================================================================
ERROR [4.774s]: test_solar_sens_chart_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 55, in test
    testfn(name, import_dict, path)(self)
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
    lambda self: getattr(self, name)()))  # pylint:disable=undefined-variable
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
    mod.test()
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar/solar/sens_chart.py", line 98, in test
    _ = get_highestsens(model, result)
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar/solar/sens_chart.py", line 52, in get_highestsens
    labels.append(lbl + "$ =%.2f$ %s" % (val, uts.replace("*", "")))
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 833, in __float__
    raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from 'meter / second ** 2' to 'dimensionless'

----------------------------------------------------------------------
Ran 6 tests in 87.094s

FAILED (errors=2)

Generating XML reports...
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'

N=1
Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.5 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
Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft1.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.44 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
Warning: skipped auto-differentiation of linked variable Aircraft2.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.55 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
Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft3.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.72 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
Warning: skipped auto-differentiation of linked variable Aircraft4.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.78 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
Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft5.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.47 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
Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.14 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 1632912.4539 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259327.6957 but bound is 1000000.0000

N=3
Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft1.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.21 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036202.5562 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006643.4845 but bound is 1000000.0000

N=5
Warning: skipped auto-differentiation of linked variable Aircraft2.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.1 seconds and 4 GP solves.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329204.1061 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208149.5853 but bound is 1000000.0000

N=7
Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft3.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.43 seconds and 4 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976141.9901 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.0178 but bound is 1000000.0000

N=9
Warning: skipped auto-differentiation of linked variable Aircraft4.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.8 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 1007400.4090 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092545.3584 but bound is 1000000.0000

N=0
Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft5.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.01 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 1119118.0316 but bound is 600000.0000
Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Using solver 'mosek_cli'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 3.88 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
Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Using solver 'mosek_conif'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 6.49 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.4641 but bound is 600000.0000
Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 1.45 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
Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft1.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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 2.24 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119115.6013 but bound is 600000.0000
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.3.0)
Requirement already satisfied: python-dateutil>=2.7.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.2)
Requirement already satisfied: numpy>=1.17.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.21.0)
Requirement already satisfied: pytz>=2017.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2021.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-_zb957di
  Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-_zb957di
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.7.0)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.17)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.6)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (21.0)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint>=0.8.1->gpkit->gpfit==0.1) (3.10.1)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.10.0.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint>=0.8.1->gpkit->gpfit==0.1) (3.5.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint>=0.8.1->gpkit->gpfit==0.1) (2.4.7)
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gplibrary
  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
Requirement already satisfied: numpy>=1.12 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.21.0)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.7.0)
Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (0.17)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (0.18.2)
Requirement already satisfied: packaging in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint->gpkitmodels==0.0.0.0) (21.0)
Requirement already satisfied: importlib-metadata in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pint->gpkitmodels==0.0.0.0) (3.10.1)
Requirement already satisfied: typing-extensions>=3.6.4 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint->gpkitmodels==0.0.0.0) (3.10.0.0)
Requirement already satisfied: zipp>=0.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from importlib-metadata->pint->gpkitmodels==0.0.0.0) (3.5.0)
Requirement already satisfied: pyparsing>=2.0.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from packaging->pint->gpkitmodels==0.0.0.0) (2.4.7)
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=66150 sha256=530670b8c09ae34e66bd5a917d70c55cdf40bda731f0fc5bff9fce197475e24c
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-1edfavj3/wheels/f6/57/0b/dd08708bad2e4d873384a7865dbcc42293a904438906070d02
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
  Attempting uninstall: gpkitmodels
    Found existing installation: gpkitmodels 0.0.0.0
    Uninstalling gpkitmodels-0.0.0.0:
      Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0

Running tests...
----------------------------------------------------------------------
../Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  ary = asanyarray(ary)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 6.1% (1588.61 to 1685.18) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 6.1% (1588.61 to 1685.18) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 25% (3053.31 to 3816.15) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 0.32% (3808.98 to 3821.21) on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 25% (3053.31 to 3816.15) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 0.32% (3808.98 to 3821.21) on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))
...
----------------------------------------------------------------------
Ran 16 tests in 13.182s

OK

Generating XML reports...
adding test for 'gpkitmodels/GP/aircraft/wing/wing_test.py'
adding test for 'gpkitmodels/GP/aircraft/tail/tail_tests.py'
adding test for 'gpkitmodels/GP/aircraft/fuselage/test_fuselage.py'
adding test for 'gpkitmodels/GP/aircraft/prop/prop_test.py'
adding test for 'gpkitmodels/GP/aircraft/motor/motor_test.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_mission.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py'
Using solver 'mosek_cli'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0651 seconds.
Using solver 'mosek_conif'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0193 seconds.
Using solver 'mosek_cli'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.0758 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0649 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0619 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 1.78 seconds and 16 GP solves.
Using solver 'mosek_conif'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.0181 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0175 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0193 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 1.07 seconds and 16 GP solves.
Using solver 'mosek_cli'
 for 13 free variables
  in 16 posynomial inequalities.
Solving took 0.112 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 1.17 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 0.0211 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 0.781 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 1619802.3201 but bound is 700000.0000
Warning: skipped auto-differentiation of linked variable HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: skipped auto-differentiation of linked variable VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: skipped auto-differentiation of linked variable Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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: skipped auto-differentiation of linked variable Empennage1.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Empennage1.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

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: skipped auto-differentiation of linked variable HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3820 but bound is 1000000.0000
Warning: skipped auto-differentiation of linked variable VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.8943 but bound is 1000000.0000
Warning: skipped auto-differentiation of linked variable Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.4495 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.1801 but bound is 1000000.0000
Warning: skipped auto-differentiation of linked variable Empennage1.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: skipped auto-differentiation of linked variable Empennage1.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853895.0848 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.0892 but bound is 1000000.0000
Warning: skipped auto-differentiation of linked variable Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884889.9591 but bound is 700000.0000
Warning: skipped auto-differentiation of linked variable Wing1.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Warning: skipped auto-differentiation of linked variable Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.8791 but bound is 700000.0000
Warning: skipped auto-differentiation of linked variable Wing1.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.

Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.3305 but bound is 700000.0000
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 0.0652 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0558 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0527 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.056 seconds.
Solved cost was 4536.

Solving took 0.245 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 0.024 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0227 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0187 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0156 seconds.
Solved cost was 4536.

Solving took 0.0888 seconds and 4 GP solves.
Cloning into 'eVTOL'...

Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 6.285s

OK

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

----------------------------------------------------------------------
Ran 279 tests in 38.571s

OK
Found no installed solvers, beginning a build.
# Building GPkit version 1.0.0pre
# Moving to the directory from which GPkit was imported.

Attempting to find and build solvers:

# Looking for `mosek_cli`
#   (A "success" is if mskexpopt complains that
#    we haven't specified a file for it to open.)
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Looks like `mskexpopt` was not found in the default PATH,
#  so let's try locating that binary ourselves.
#   Adding /Users/jenkins/mosek/8/tools/platform/osx64x86/bin to the PATH
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##

Found mosek_cli in /Users/jenkins/mosek/8/tools/platform/osx64x86/bin

# Looking for `mosek_conif`
#   Trying to import mosek...

Found mosek_conif in the default PYTHONPATH

# Looking for `cvxopt`
#   Trying to import cvxopt...

Found cvxopt in the default PYTHONPATH
Replaced found solvers (['mosek_cli', 'mosek_conif', 'cvxopt']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)

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

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

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

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

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

Enjoy!

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[Execution node] check if [macys_VM] is in [[windows10x64]]
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
[Checks API] No suitable checks publisher found.
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: FAILURE