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Started by upstream project "CE_gpkit_PR_research_models" build number 480
originally caused by:
 GitHub pull request #1541 of commit 746985f7a4ba8cbdfd4553744e2470e7748ee1a2, no merge conflicts.
Running as SYSTEM
[EnvInject] - Loading node environment variables.
Building remotely on windows10x64 in workspace C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek
The recommended git tool is: NONE
No credentials specified
Wiping out workspace first.
Cloning the remote Git repository
Cloning repository https://github.com/convexengineering/gpkit
 > C:\Program Files\Git\cmd\git init C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gpkit
 > C:\Program Files\Git\cmd\git --version # timeout=10
 > git --version # 'git version 2.16.2.windows.1'
 > C:\Program Files\Git\cmd\git fetch --tags --progress -- https://github.com/convexengineering/gpkit +refs/heads/*:refs/remotes/origin/* # timeout=10
 > C:\Program Files\Git\cmd\git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10
 > C:\Program Files\Git\cmd\git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > C:\Program Files\Git\cmd\git config remote.origin.url https://github.com/convexengineering/gpkit # timeout=10
Fetching upstream changes from https://github.com/convexengineering/gpkit
 > C:\Program Files\Git\cmd\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 f1201b10e0c1e3e77ca229f1b14750ad9e1e2c18 (refs/remotes/origin/pr/1541/merge) to origin/master, UserMergeOptions{mergeRemote='origin', mergeTarget='master', mergeStrategy='DEFAULT', fastForwardMode='FF'}
 > C:\Program Files\Git\cmd\git rev-parse "origin/master^{commit}" # timeout=10
 > C:\Program Files\Git\cmd\git config core.sparsecheckout # timeout=10
 > C:\Program Files\Git\cmd\git checkout -f origin/master # timeout=3
 > C:\Program Files\Git\cmd\git remote # timeout=10
 > C:\Program Files\Git\cmd\git config --get remote.origin.url # timeout=10
 > C:\Program Files\Git\cmd\git merge --ff f1201b10e0c1e3e77ca229f1b14750ad9e1e2c18 # timeout=10
 > C:\Program Files\Git\cmd\git rev-parse "HEAD^{commit}" # timeout=10
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 > C:\Program Files\Git\cmd\git show-ref --tags -d # timeout=10
JENKINS-19022: warning: possible memory leak due to Git plugin usage; see: https://wiki.jenkins.io/display/JENKINS/Remove+Git+Plugin+BuildsByBranch+BuildData
Checking out Revision f1201b10e0c1e3e77ca229f1b14750ad9e1e2c18 (origin/pr/1541/merge, origin/master)
 > C:\Program Files\Git\cmd\git config core.sparsecheckout # timeout=10
 > C:\Program Files\Git\cmd\git checkout -f f1201b10e0c1e3e77ca229f1b14750ad9e1e2c18 # timeout=3
Commit message: "Merge 746985f7a4ba8cbdfd4553744e2470e7748ee1a2 into e768533800175c0e07a9494813a84480324c96e0"
Using 'Changelog to branch' strategy.
The recommended git tool is: NONE
No credentials specified
 > C:\Program Files\Git\cmd\git rev-parse "f1201b10e0c1e3e77ca229f1b14750ad9e1e2c18^{commit}" # timeout=10
The recommended git tool is: NONE
No credentials specified
[GitCheckoutListener] Recording commits of 'git https://github.com/convexengineering/gpkit'
[GitCheckoutListener] Found previous build 'CE_gpkit_PR_research_models/buildnode=windows10x64,optimizer=mosek #479' that contains recorded Git commits
[GitCheckoutListener] -> Starting recording of new commits since 'efa383b3817efbb5a42a936136628f24d2bb713d'
[GitCheckoutListener] -> Git commit decorator successfully obtained 'hudson.plugins.git.browser.GithubWeb@28f4c2d5' 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="Clean user-submitted x0s during localsolve" href="https://github.com/convexengineering/gpkit/pull/1541">PR 1541</a>: Clean user-submitted x0s during localsolve
[Execution node] check if [windows10x64] is in [[macys, macys_VM, reynolds, reynolds-ubuntu16]]
Run condition [Execution node ] preventing perform for step [Execute shell]
[Execution node] check if [windows10x64] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] enabling perform for step [Execute Windows batch command]
[mosek] $ cmd /c call C:\Users\jenkins\AppData\Local\Temp\jenkins4846222734225895647.bat

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>set PATH=C:\Anaconda3;C:\Anaconda3\Scripts;C:\Anaconda3\Library\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files\Mosek\9.1\tools\platform\win64x86\bin;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps;C:\Users\jenkins\AppData\Local\Programs\Python\Python38;C:\Users\jenkins\AppData\Local\Programs\Python\Python38\Scripts;%USERPROFILE%\AppData\Local\Microsoft\WindowsApps 

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>echo C:\Anaconda3;C:\Anaconda3\Scripts;C:\Anaconda3\Library\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files\Mosek\9.1\tools\platform\win64x86\bin;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps;C:\Users\jenkins\AppData\Local\Programs\Python\Python38;C:\Users\jenkins\AppData\Local\Programs\Python\Python38\Scripts;%USERPROFILE%\AppData\Local\Microsoft\WindowsApps 
C:\Anaconda3;C:\Anaconda3\Scripts;C:\Anaconda3\Library\bin;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\ProgramData\Oracle\Java\javapath;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0\;C:\Program Files\Mosek\8\tools\platform\win64x86\bin;C:\WINDOWS\System32\OpenSSH\;C:\Program Files\Git\bin;C:\Program Files\TortoiseSVN\bin;C:\Program Files\Mosek\9.1\tools\platform\win64x86\bin;C:\Anaconda2;C:\Anaconda2\Scripts;C:\Anaconda2\Library\bin;C:\Program Files (x86)\Intel\Compiler\Fortran\9.1\EM64T\Bin;C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps;C:\Users\jenkins\AppData\Local\Programs\Python\Python38;C:\Users\jenkins\AppData\Local\Programs\Python\Python38\Scripts;%USERPROFILE%\AppData\Local\Microsoft\WindowsApps

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>where python 
C:\Anaconda3\python.exe
C:\Users\jenkins\AppData\Local\Microsoft\WindowsApps\python.exe

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>python --version 
Python 3.7.6

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>REM Create a virtualenv to install everything into 

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>SET VENV=C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit 

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>virtualenv --system-site-packages C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit  
Using base prefix 'C:\\Anaconda3'
  No LICENSE.txt / LICENSE found in source
New python executable in C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\Scripts\python.exe
copying C:\Anaconda3\python.exe => C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\Scripts\python.exe
Installing setuptools, pip, wheel...
done.

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>call C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\Scripts\activate.bat  

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>python -m pip install --upgrade pip 
Requirement already satisfied: pip in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (21.0.1)

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade ad 
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (1.3.2)

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade unittest-xml-reporting 
Collecting unittest-xml-reporting
  Using cached unittest_xml_reporting-3.0.4-py2.py3-none-any.whl (19 kB)
Installing collected packages: unittest-xml-reporting
Successfully installed unittest-xml-reporting-3.0.4

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade pandas 
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (1.2.3)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from pandas) (1.20.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas) (2020.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade matplotlib 
Requirement already satisfied: matplotlib in c:\anaconda3\lib\site-packages (3.3.4)
Requirement already satisfied: numpy>=1.15 in c:\anaconda3\lib\site-packages (from matplotlib) (1.20.1)
Requirement already satisfied: pillow>=6.2.0 in c:\anaconda3\lib\site-packages (from matplotlib) (7.1.2)
Requirement already satisfied: python-dateutil>=2.1 in c:\anaconda3\lib\site-packages (from matplotlib) (2.8.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in c:\anaconda3\lib\site-packages (from matplotlib) (2.4.7)
Requirement already satisfied: cycler>=0.10 in c:\anaconda3\lib\site-packages (from matplotlib) (0.10.0)
Requirement already satisfied: kiwisolver>=1.0.1 in c:\anaconda3\lib\site-packages (from matplotlib) (1.2.0)
Requirement already satisfied: six in c:\anaconda3\lib\site-packages (from cycler>=0.10->matplotlib) (1.15.0)

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade coverage 
Requirement already satisfied: coverage in c:\anaconda3\lib\site-packages (5.5)

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade numpy 
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (1.20.1)

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade scipy 
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (1.6.1)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from scipy) (1.20.1)

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install --upgrade pint==0.9 
Collecting pint==0.9
  Using cached Pint-0.9-py2.py3-none-any.whl (138 kB)
Installing collected packages: pint
  Attempting uninstall: pint
    Found existing installation: Pint 0.16.1
    Not uninstalling pint at c:\anaconda3\lib\site-packages, outside environment c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit
    Can't uninstall 'Pint'. No files were found to uninstall.
Successfully installed pint-0.9

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>if mosek == cvxopt (
pip install --upgrade cvxopt   || exit /b 666  
 python -c "import cvxopt; print(cvxopt.__version__)"  
 set GPKITSOLVERS=cvxopt 
) 

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>REM for mosek9/mosek_conif 

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>REM if mosek==mosek python -c "__import__('mosek').Env()" 

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>if mosek == mosek (
msktestlic 
 set GPKITSOLVERS=mosek_cli 
) 
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.
Mosek license manager: License path: C:\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
Interior-point optimizer started.
Presolve started.
Eliminator started.
Freed constraints in eliminator : 0
Eliminator terminated.
Eliminator - tries                  : 1                 time                   : 0.00            
Lin. dep.  - tries                  : 0                 time                   : 0.00            
Lin. dep.  - number                 : 0               
Presolve terminated. Time: 0.00    
Interior-point optimizer terminated. Time: 0.01. 

Optimizer terminated. Time: 0.06    
************************************
A license was checked out correctly.
************************************

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>python -c "import scipy; print(scipy.__version__)" 
1.6.1

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>python -c "import numpy; print(numpy.__version__)" 
1.20.1

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>python -c "import pint; print(pint.__version__)" 
0.9

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>python -c "import gpkit; print(gpkit.settings)" 
No filename given.
Usage:
     mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
...........................................................................................................................................................................................................
----------------------------------------------------------------------
Ran 203 tests in 85.574s

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
##

Found mosek_cli in the default PATH

# Looking for `mosek_conif`
#   Trying to import mosek...
# Did not find
# mosek_conif

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

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

Found the following solvers: mosek_cli
#     Replacing directory env

GPkit is now installed with solver(s) ['mosek_cli']
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'], 'default_solver': 'mosek_cli', 'just built!': True}

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>REM Install gpkit to run the documentation examples 

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>pip install -e C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek   || exit /b 666 
Obtaining file:///C:/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/windows10x64/optimizer/mosek
Requirement already satisfied: numpy>=1.16.4 in c:\anaconda3\lib\site-packages (from gpkit==1.0.0) (1.20.1)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit==1.0.0) (0.9)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpkit==1.0.0) (1.6.1)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit==1.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit==1.0.0) (1.2.6)
Installing collected packages: gpkit
  Running setup.py develop for gpkit
Successfully installed gpkit

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>REM Show the settings file 

(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>type C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\env\settings 
installed_solvers :  
(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>python -c "from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)" 
No filename given.
Usage:
     mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
...........................................................................................................................................................................................................Cloning into 'gplibrary'...
Obtaining file:///C:/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/windows10x64/optimizer/mosek/gplibrary
Installing collected packages: gpkitmodels
  Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
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Collecting git+https://github.com/hoburg/turbofan.git
  Cloning https://github.com/hoburg/turbofan.git to c:\users\jenkins\appdata\local\temp\pip-req-build-1y3h50kt
  Running command git clone -q https://github.com/hoburg/turbofan.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-1y3h50kt'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.6.1)
Requirement already satisfied: pint in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (0.18.2)
Building wheels for collected packages: turbofan
  Building wheel for turbofan (setup.py): started
  Building wheel for turbofan (setup.py): finished with status 'done'
  Created wheel for turbofan: filename=turbofan-0.0.0.0-py3-none-any.whl size=44142 sha256=a16fa6610ef65475bc8c03c934bce114180dfe88f6050a1b01d674ee28f1f116
  Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-4gwacfe9\wheels\5e\94\24\992cb23a6749c3bad249589806341b6bef6786d3794831a01c
Successfully built turbofan
Installing collected packages: turbofan
Successfully installed turbofan-0.0.0.0
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\spaircraft
Requirement already satisfied: turbofan in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from SPaircraft==0.0.0) (0.0.0.0)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from SPaircraft==0.0.0) (1.0.0)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from SPaircraft==0.0.0) (0.18.2)
Requirement already satisfied: numpy>=1.16.4 in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.20.1)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->SPaircraft==0.0.0) (0.9)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.6.1)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.6)
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=1835 sha256=ef84d33b875a16351a2669953113a998bd04462ceab9dd98482b40e14b84ad47
  Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-9m5zsj3m\wheels\58\f1\65\17c31d55c70a1ddaf318b574e4f9979e5f67ac924448f94707
Successfully built SPaircraft
Installing collected packages: SPaircraft
Successfully installed SPaircraft-0.0.0
adding test for 'SPaircraft.py'

Running tests...
----------------------------------------------------------------------
.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 6.34 seconds.
Solved cost was 3.965e+40.

GP Solve 2
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 5.52 seconds.
Solved cost was 4.015e+10.

GP Solve 3
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 23.5 seconds.
Solved cost was 3.194e+05.

GP Solve 4
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 5.31 seconds.
Solved cost was 2.931e+04.

GP Solve 5
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 4.17 seconds.
Solved cost was 2.498e+04.

GP Solve 6
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 3.63 seconds.
Solved cost was 2.381e+04.

GP Solve 7
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 1.69 seconds.
Solved cost was 2.328e+04.

GP Solve 8
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 5.41 seconds.
Solved cost was 2.303e+04.

Solving took 57.1 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: -31.679079775002542


Fuselage Weight Percent Diff: 2.6526976812611798


Payload Weight Percent Diff: [-0.04052335]


VT Weight Percent Diff: 36.22086550945204


HT Weight Percent Diff: -97.00046133440463


Wing Weight Percent Diff: 6.301579926786856




WING DIFFERENCES


Wing Span Percent Diff: -4.037425783973113


Wing Area Percent Diff: 20.489238690661107




HORIZONTAL TAIL DIFFERENCES


HT Area Percent Diff: 31.219036551287207




VERTICAL TAIL DIFFERENCES




VT Span Percent Diff: 0.9750022574577574


VT Area Percent Diff: -48.98410860424179




CRUISE SEGMENT 1 DRAG DIFFERENCES


Overall Cd Percent Diff: [-29.23181213]


L/D Percent Diff: [16.07581914]


Nacelle Cd Percent Diff: [-2.28221255]


HT Cd Percent Diff: [-97.20243993] dimensionless


Fuselage Cd Percent Diff: [108.78744865]


VT Cd Percent Diff: [-35.6733968] dimensionless


Wing Cd percent Diff: [-29.62869661]
Induced Drag Cd Percent Diff: [-33.69798608]




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.54288379]




FUSELAGE DIFFERENCES




Weight of HB material: -30.543557096479283 


Weight of VB material: 115.86713307177655 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.80046599]
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 4.9 seconds.
Solved cost was 3.965e+40.

GP Solve 2
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 1.26 seconds.
Solved cost was 4.014e+10.

GP Solve 3
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 9.05 seconds.
Solved cost was 3.195e+05.

GP Solve 4
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 1.69 seconds.
Solved cost was 2.931e+04.

GP Solve 5
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 7.03 seconds.
Solved cost was 2.498e+04.

GP Solve 6
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 2.78 seconds.
Solved cost was 2.381e+04.

GP Solve 7
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 1.35 seconds.
Solved cost was 2.328e+04.

GP Solve 8
Using solver 'mosek_cli'
 for 1198 free variables
  in 4699 posynomial inequalities.
Solving took 3.38 seconds.
Solved cost was 2.303e+04.

Solving took 32.5 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: -31.679079775002542


Fuselage Weight Percent Diff: 2.6526976812611798


Payload Weight Percent Diff: [-0.04052335]


VT Weight Percent Diff: 36.22059306799342


HT Weight Percent Diff: -97.00046133440463


Wing Weight Percent Diff: 6.301579926786856




WING DIFFERENCES


Wing Span Percent Diff: -4.037425783973113


Wing Area Percent Diff: 20.489118201482633




HORIZONTAL TAIL DIFFERENCES


HT Area Percent Diff: 31.218905332316265




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: [16.07570307]


Nacelle Cd Percent Diff: [-2.28211483]


HT Cd Percent Diff: [-97.20243993] dimensionless


Fuselage Cd Percent Diff: [108.78744865]


VT Cd Percent Diff: [-35.6733968] dimensionless


Wing Cd percent Diff: [-29.62876698]
Induced Drag Cd Percent Diff: [-33.69805238]




CRUISE SEGMENT 1 TSFC DIFFERENCES


Initial Cruise TSFC Percent Diff: [-5.54290268]




FUSELAGE DIFFERENCES




Weight of HB material: -30.553071977372877 


Weight of VB material: 115.86734893901749 
Fan Propulsive Efficiency in Cruise Segment 1
---------------------
[0.80046647]

----------------------------------------------------------------------
Ran 1 test in 96.077s

OK

Generating XML reports...
Cloning into 'robust'...
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
adding test for 'run_tests.py'

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

Running tests...
----------------------------------------------------------------------
...................Solution check warning: Dual: sum of nu^T * A did not vanish.
..
----------------------------------------------------------------------
Ran 21 tests in 312.675s

OK

Generating XML reports...
.
----------------------------------------------------------------------
Ran 1 test in 314.445s

OK

Generating XML reports...
Cloning into 'shopping'...
adding test for 'test.py'

Running tests...
----------------------------------------------------------------------
Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.135 seconds.
.Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.399 seconds.
.
----------------------------------------------------------------------
Ran 2 tests in 0.750s

OK

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Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-qftzb9u5
  Running command git clone -q https://github.com/hoburg/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-qftzb9u5'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.1)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
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=25624 sha256=ea667ae2d325ea883c386e1bc2222bf3751aed5f17cb0a5e853b22550b1c1919
  Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-jitmpker\wheels\57\29\3e\8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gassolar
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.6.1)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.2.3)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.6)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2020.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas->gassolar==0.0.0.0) (1.15.0)
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=4895562 sha256=c8d74bd58f925d35c99bb7f0e83a20a18f5f88a82d94167174ea2c44a3c63253
  Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-r2dgzidb\wheels\a2\1c\f6\c311a0b154a3c7abb5c7361061ad8b0fb10d2da48901ad2ba0
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'

Running tests...
----------------------------------------------------------------------
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.Using solver 'mosek_cli'
 for 592 free variables
  in 918 posynomial inequalities.
Solving took 0.885 seconds.
Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Starting a sequence of GP solves
 for 8 free variables
  in 2 locally-GP constraints
  and for 600 free variables
       in 926 posynomial inequalities.
Solving took 8.85 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek_cli'
 for 1250 free variables
  in 1872 posynomial inequalities.
Solving took 3.74 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Starting a sequence of GP solves
 for 38 free variables
  in 12 locally-GP constraints
  and for 1298 free variables
       in 1930 posynomial inequalities.
Solving took 6.54 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
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.
----------------------------------------------------------------------
Ran 2 tests in 28.025s

OK

Generating XML reports...
Cloning into 'jho'...
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (1.2.3)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas) (2020.1)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from pandas) (1.20.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-idjg6vj_
  Running command git clone -q https://github.com/hoburg/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-idjg6vj_'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.1)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'

Running tests...
----------------------------------------------------------------------
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.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 43.2 seconds and 4 GP solves.
MTOW [lbs] = 141.77
Zero fuel weight [lbs] = 53.80
Wing span [ft] = 24.00
Aicraft length [ft] = 12.90
Aspect ratio = 25.60
mean aerodynamic chord [ft] = 0.9722
root chord [ft] = 1.250
speed for best rate of climb [m/s]: Vy = 21.829
speed at top of climb [m/s] = 26.622
design loiter speed [m/s] = 25.070
rotation speed at 55 lbs [m/s] = 18.185
rotation speed at 150 lbs [m/s] = 28.236
optimum loiter speed for min power, start of loiter [m/s] = 25.279
optimum loiter speed for min power, end of loiter [m/s] = 17.233
optimum cruise speed, inbound [m/s] = 25.637
optimum cruise speed, outbound [m/s] = 36.269
Starting a sequence of GP solves
 for 8 free variables
  in 6 locally-GP constraints
  and for 827 free variables
       in 1995 posynomial inequalities.
Solving took 6.4 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Starting a sequence of GP solves
 for 8 free variables
  in 6 locally-GP constraints
  and for 828 free variables
       in 1995 posynomial inequalities.
Solving took 3.96 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.418
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.
----------------------------------------------------------------------
Ran 2 tests in 78.807s

OK

Generating XML reports...
Cloning into 'turbofan'...
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\turbofan
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.6.1)
Requirement already satisfied: pint in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (0.18.2)
Building wheels for collected packages: turbofan
  Building wheel for turbofan (setup.py): started
  Building wheel for turbofan (setup.py): finished with status 'done'
  Created wheel for turbofan: filename=turbofan-0.0.0.0-py3-none-any.whl size=44142 sha256=6febf15f31291eda2c3c41a7b645ad485a4f19c900f750e382fd14e6955276fb
  Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-amjceujl\wheels\8a\cf\c8\e6641237d4c8b318a2fb3b33b8c09ab0beefe8395db18dad6e
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
adding test for 'turbofan/engine_test.py'

Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 0.006s

OK

Generating XML reports...
Cloning into 'solar'...
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (1.2.3)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from pandas) (1.20.1)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas) (2020.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
Collecting git+https://github.com/convexengineering/gpfit.git
  Cloning https://github.com/convexengineering/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-0t9n7iv2
  Running command git clone -q https://github.com/convexengineering/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-0t9n7iv2'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.1)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
Collecting git+https://github.com/convexengineering/gassolar.git
  Cloning https://github.com/convexengineering/gassolar.git to c:\users\jenkins\appdata\local\temp\pip-req-build-dkgnyean
  Running command git clone -q https://github.com/convexengineering/gassolar.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-dkgnyean'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.6.1)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.2.3)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.6)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2020.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas->gassolar==0.0.0.0) (1.15.0)
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\solar
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from solar==0.0.0.0) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from solar==0.0.0.0) (1.6.1)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from solar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (from solar==0.0.0.0) (1.2.3)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->solar==0.0.0.0) (1.2.6)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas->solar==0.0.0.0) (2020.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas->solar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas->solar==0.0.0.0) (1.15.0)
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=14956 sha256=26687e230fca72340e7eb6d495c03b8ac21db5f50759053207814c7045a7d3ff
  Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-_pwua050\wheels\d0\b1\e6\cfdfa6a79426f3c9ac822b9884ce7cc02391bcb2bb75b48230
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'

Running tests...
----------------------------------------------------------------------
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.
N=1
Starting a sequence of GP solves
 for 85 free variables
  in 21 locally-GP constraints
  and for 980 free variables
       in 1300 posynomial inequalities.
Solving took 5.6 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000

N=3
Starting a sequence of GP solves
 for 97 free variables
  in 23 locally-GP constraints
  and for 1032 free variables
       in 1384 posynomial inequalities.
Solving took 10.3 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036209.6021 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006641.3990 but bound is 1000000.0000

N=5
Starting a sequence of GP solves
 for 85 free variables
  in 21 locally-GP constraints
  and for 1084 free variables
       in 1492 posynomial inequalities.
Solving took 16.6 seconds and 4 GP solves.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329202.9037 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208149.0070 but bound is 1000000.0000

N=7
Starting a sequence of GP solves
 for 115 free variables
  in 27 locally-GP constraints
  and for 1136 free variables
       in 1624 posynomial inequalities.
Solving took 51 seconds and 4 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976138.7332 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.9154 but bound is 1000000.0000

N=9
Starting a sequence of GP solves
 for 124 free variables
  in 29 locally-GP constraints
  and for 1188 free variables
       in 1780 posynomial inequalities.
Solving took 25.2 seconds and 4 GP solves.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000

N=0
Starting a sequence of GP solves
 for 85 free variables
  in 21 locally-GP constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 27.5 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
Using solver 'mosek_cli'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 63.2 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
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.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 59.6 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
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\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"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: 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 array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.
----------------------------------------------------------------------
Ran 3 tests in 276.198s

OK

Generating XML reports...
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 c:\anaconda3\lib\site-packages (1.2.3)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas) (2020.1)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from pandas) (1.20.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-7e4b0b36
  Running command git clone -q https://github.com/hoburg/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-7e4b0b36'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.1)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary
Requirement already satisfied: numpy>=1.12 in c:\anaconda3\lib\site-packages (from gpkitmodels==0.0.0.0) (1.20.1)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpkitmodels==0.0.0.0) (1.6.1)
Requirement already satisfied: pint in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from gpkitmodels==0.0.0.0) (0.18.2)
Building wheels for collected packages: gpkitmodels
  Building wheel for gpkitmodels (setup.py): started
  Building wheel for gpkitmodels (setup.py): finished with status 'done'
  Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-py3-none-any.whl size=66715 sha256=ea973744577cb5d766b64edeea437400e2fad987fc2b46c70a9b2669605e74a0
  Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-_csc865_\wheels\3a\08\1c\526fc9a8cf18eb28480014ce08b336c1b19614a06a54e4184c
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
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'

Running tests...
----------------------------------------------------------------------
Using solver 'mosek_cli'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.702 seconds.
.Using solver 'mosek_cli'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.828 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 1.06 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.543 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 15.9 seconds and 16 GP solves.
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.Using solver 'mosek_cli'
 for 13 free variables
  in 16 posynomial inequalities.
Solving took 0.546 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 7.95 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
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884889.9591 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py:178: UserWarning: SGP not convergent: Cost rose by 6.1% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
  % (100*(cost - prevcost)/prevcost, len(self.gps)))
.c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py:178: UserWarning: SGP not convergent: Cost rose by 25% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
  % (100*(cost - prevcost)/prevcost, len(self.gps)))
c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py:178: UserWarning: SGP not convergent: Cost rose by 0.32% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
  % (100*(cost - prevcost)/prevcost, len(self.gps)))
.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 0.669 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.224 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.398 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 1.1 seconds.
Solved cost was 4536.

Solving took 2.4 seconds and 4 GP solves.
.
----------------------------------------------------------------------
Ran 8 tests in 45.317s

OK

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

Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 5.331s

OK

Generating XML reports...

----------------------------------------------------------------------
Ran 203 tests in 98.494s

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
##

Found mosek_cli in the default PATH

# Looking for `mosek_conif`
#   Trying to import mosek...
# Did not find
# mosek_conif

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

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

Found the following solvers: mosek_cli
#     Replacing directory env

GPkit is now installed with solver(s) ['mosek_cli']
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 ['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 ['pip', 'install', 'git+https://github.com/hoburg/turbofan.git']
  attempt 1
calling ['pip', 'install', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/robust.git']
  attempt 1

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

calling ['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 ['pip', 'install', 'pandas']
  attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
  attempt 1
calling ['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 ['pip', 'install', 'pandas']
  attempt 1
calling ['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 ['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 ['pip', 'install', 'pandas']
  attempt 1
calling ['pip', 'install', 'git+https://github.com/convexengineering/gpfit.git']
  attempt 1
calling ['pip', 'install', 'git+https://github.com/convexengineering/gassolar.git']
  attempt 1
calling ['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 ['pip', 'install', 'pandas']
  attempt 1
calling ['pip', 'install', 'git+https://github.com/hoburg/gpfit.git']
  attempt 1
calling ['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'})


(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>exit 0 
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: SUCCESS