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copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/__init__.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion
copying build/lib.macosx-10.13-x86_64-3.7/mosek/fusion/Utils.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion
copying build/lib.macosx-10.13-x86_64-3.7/mosek/__init__.py -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek
copying build/lib.macosx-10.13-x86_64-3.7/mosek/_msk.abi3.so -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek
byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/__init__.py to __init__.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/impl/_implementation.py to _implementation.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/__init__.py to __init__.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/fusion/Utils.py to Utils.cpython-37.pyc
byte-compiling /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/__init__.py to __init__.cpython-37.pyc
running install_egg_info
Writing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/Mosek-9.1.11-py3.7.egg-info
Fixing library paths
copying /Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin/libcilkrts.5.dylib -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/
copying /Users/jenkins/mosek/9.1/tools/platform/osx64x86/bin/libmosek64.9.1.dylib -> /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/
Installing preloader module
writing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/mosek/_mskpreload.py
+++ msktestlic
Mosek license manager: License path: /Users/jenkins/mosek/mosek.lic
Mosek license manager:  Checkout license feature 'PTS' from flexlm.
Mosek license manager:  Checkout time 0.01. r: 0 status: 0
Problem
  Name                   :                 
  Objective sense        : min             
  Type                   : LO (linear optimization problem)
  Constraints            : 1               
  Cones                  : 0               
  Scalar variables       : 5000            
  Matrix variables       : 0               
  Integer variables      : 0               

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

************************************
A license was checked out correctly.
************************************
+++ export 'GPKITSOLVERS=mosek_cli, mosek_conif'
+++ GPKITSOLVERS='mosek_cli, mosek_conif'
+++ COVERAGE_OMIT=gpkit/solvers/cvxopt.py
++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/cvxopt_installs.sh
+++ [[ mosek == cvxopt ]]
++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/pip_installs_base.sh
+++ pip_install ad
+++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade ad
Processing /Users/jenkins/Library/Caches/pip/wheels/05/ca/c3/e346f6d92289be5bcf02827cd5602dac6c8dc74ae3a846e34d/ad-1.3.2-py3-none-any.whl
Installing collected packages: ad
Successfully installed ad-1.3.2
+++ pip_install xmlrunner
+++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade xmlrunner
Processing /Users/jenkins/Library/Caches/pip/wheels/bb/ae/64/7394a8365bd8e7bf4c49b01d80c0260d1c1ec975183ac1ce37/xmlrunner-1.7.7-py3-none-any.whl
Installing collected packages: xmlrunner
Successfully installed xmlrunner-1.7.7
+++ pip_install pandas
+++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade pandas
Collecting pandas
  Using cached pandas-1.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (9.8 MB)
Collecting pytz>=2017.2
  Using cached pytz-2019.3-py2.py3-none-any.whl (509 kB)
Collecting python-dateutil>=2.6.1
  Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB)
Collecting numpy>=1.13.3
  Using cached numpy-1.18.1-cp37-cp37m-macosx_10_9_x86_64.whl (15.1 MB)
Collecting six>=1.5
  Using cached six-1.14.0-py2.py3-none-any.whl (10 kB)
Installing collected packages: pytz, six, python-dateutil, numpy, pandas
Successfully installed numpy-1.18.1 pandas-1.0.1 python-dateutil-2.8.1 pytz-2019.3 six-1.14.0
+++ pip_install matplotlib
+++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade matplotlib
Collecting matplotlib
  Using cached matplotlib-3.1.3-cp37-cp37m-macosx_10_9_x86_64.whl (13.2 MB)
Collecting cycler>=0.10
  Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1
  Using cached pyparsing-2.4.6-py2.py3-none-any.whl (67 kB)
Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (2.8.1)
Requirement already satisfied, skipping upgrade: numpy>=1.11 in ./venv2_gpkit/lib/python3.7/site-packages (from matplotlib) (1.18.1)
Collecting kiwisolver>=1.0.1
  Using cached kiwisolver-1.1.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (113 kB)
Requirement already satisfied, skipping upgrade: six in ./venv2_gpkit/lib/python3.7/site-packages (from cycler>=0.10->matplotlib) (1.14.0)
Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib) (45.2.0)
Installing collected packages: cycler, pyparsing, kiwisolver, matplotlib
Successfully installed cycler-0.10.0 kiwisolver-1.1.0 matplotlib-3.1.3 pyparsing-2.4.6
+++ pip_install coverage
+++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade coverage
Collecting coverage
  Using cached coverage-5.0.3-cp37-cp37m-macosx_10_13_x86_64.whl (202 kB)
Installing collected packages: coverage
Successfully installed coverage-5.0.3
++++ which coverage
+++ export COVERAGE=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/coverage
+++ COVERAGE=/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/coverage
++ pip_install numpy
++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade numpy
Requirement already up-to-date: numpy in ./venv2_gpkit/lib/python3.7/site-packages (1.18.1)
++ pip_install scipy
++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade scipy
Collecting scipy
  Using cached scipy-1.4.1-cp37-cp37m-macosx_10_6_intel.whl (28.4 MB)
Requirement already satisfied, skipping upgrade: numpy>=1.13.3 in ./venv2_gpkit/lib/python3.7/site-packages (from scipy) (1.18.1)
Installing collected packages: scipy
Successfully installed scipy-1.4.1
++ pip_install pint
++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install --upgrade pint
Collecting pint
  Using cached Pint-0.11-py2.py3-none-any.whl (186 kB)
Requirement already satisfied, skipping upgrade: setuptools in ./venv2_gpkit/lib/python3.7/site-packages (from pint) (45.2.0)
Installing collected packages: pint
Successfully installed pint-0.11
++ git clone --depth 1 https://github.com/convexengineering/gpkit.git /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit
Cloning into '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit'...
++ python /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip install -v --no-cache-dir --no-deps -e /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit
Non-user install because user site-packages disabled
Created temporary directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-v59tsj1g
Created temporary directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-unr5ez7a
Initialized build tracking at /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-unr5ez7a
Created build tracker: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-unr5ez7a
Entered build tracker: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-unr5ez7a
Created temporary directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-install-0tc3cyg1
Obtaining file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit
  Added file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit to build tracker '/private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-unr5ez7a'
    Running setup.py (path:/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/setup.py) egg_info for package from file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit
    Running command python setup.py egg_info
    running egg_info
    creating gpkit.egg-info
    writing gpkit.egg-info/PKG-INFO
    writing dependency_links to gpkit.egg-info/dependency_links.txt
    writing requirements to gpkit.egg-info/requires.txt
    writing top-level names to gpkit.egg-info/top_level.txt
    writing manifest file 'gpkit.egg-info/SOURCES.txt'
    reading manifest file 'gpkit.egg-info/SOURCES.txt'
    writing manifest file 'gpkit.egg-info/SOURCES.txt'
  Source in ./gpkit has version 1.0.0, which satisfies requirement gpkit==1.0.0 from file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit
  Removed gpkit==1.0.0 from file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit from build tracker '/private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-unr5ez7a'
Installing collected packages: gpkit
  Running setup.py develop for gpkit
    Running command /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/python -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/setup.py'"'"'; __file__='"'"'/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' develop --no-deps
    running develop
    running egg_info
    writing gpkit.egg-info/PKG-INFO
    writing dependency_links to gpkit.egg-info/dependency_links.txt
    writing requirements to gpkit.egg-info/requires.txt
    writing top-level names to gpkit.egg-info/top_level.txt
    reading manifest file 'gpkit.egg-info/SOURCES.txt'
    writing manifest file 'gpkit.egg-info/SOURCES.txt'
    running build_ext
    Creating /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gpkit.egg-link (link to .)
    Adding gpkit 1.0.0 to easy-install.pth file

    Installed /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit
Successfully installed gpkit
Cleaning up...
Removed build tracker: '/private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-tracker-unr5ez7a'
1 location(s) to search for versions of pip:
* https://pypi.org/simple/pip/
Fetching project page and analyzing links: https://pypi.org/simple/pip/
Getting page https://pypi.org/simple/pip/
Found index url https://pypi.org/simple
Starting new HTTPS connection (1): pypi.org:443
https://pypi.org:443 "GET /simple/pip/ HTTP/1.1" 200 12868
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  Found link https://files.pythonhosted.org/packages/18/ad/c0fe6cdfe1643a19ef027c7168572dac6283b80a384ddf21b75b921877da/pip-0.2.1.tar.gz#sha256=83522005c1266cc2de97e65072ff7554ac0f30ad369c3b02ff3a764b962048da (from https://pypi.org/simple/pip/), version: 0.2.1
  Found link https://files.pythonhosted.org/packages/17/05/f66144ef69b436d07f8eeeb28b7f77137f80de4bf60349ec6f0f9509e801/pip-0.3.tar.gz#sha256=183c72455cb7f8860ac1376f8c4f14d7f545aeab8ee7c22cd4caf79f35a2ed47 (from https://pypi.org/simple/pip/), version: 0.3
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  Found link https://files.pythonhosted.org/packages/cf/c3/153571aaac6cf999f4bb09c019b1ff379b7b599ea833813a41c784eec995/pip-0.4.tar.gz#sha256=28fc67558874f71fddda7168f73595f1650523dce3bc5bf189713ecdfc1e456e (from https://pypi.org/simple/pip/), version: 0.4
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  Found link https://files.pythonhosted.org/packages/a5/63/11303863c2f5e9d9a15d89fcf7513a4b60987007d418862e0fb65c09fff7/pip-0.7.1.tar.gz#sha256=f54f05aa17edd0036de433c44892c8fedb1fd2871c97829838feb995818d24c3 (from https://pypi.org/simple/pip/), version: 0.7.1
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  Found link https://files.pythonhosted.org/packages/17/3e/0a98ab032991518741e7e712a719633e6ae160f51b3d3e855194530fd308/pip-0.8.2.tar.gz#sha256=f80a3549c048bc3bbcb47844826e9c7c6fcd87e77b92bef0d9e66d1b397c4962 (from https://pypi.org/simple/pip/), version: 0.8.2
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  Found link https://files.pythonhosted.org/packages/24/33/6eb675fb6db7b71d69d6928b33dea61b8bf5cfe1e5649be70ec84ce2fc09/pip-1.0.tar.gz#sha256=34ba07e2d14ba86d5088ba896ac80bed845a9b276ab8acb279b8d99bc77fec8e (from https://pypi.org/simple/pip/), version: 1.0
  Found link https://files.pythonhosted.org/packages/10/d9/f584e6107ef98ad7eaaaa5d0f756bfee12561fa6a4712ffdb7209e0e1fd4/pip-1.0.1.tar.gz#sha256=37d2f18213d3845d2038dd3686bc71fc12bb41ad66c945a8b0dfec2879f3497b (from https://pypi.org/simple/pip/), version: 1.0.1
  Found link https://files.pythonhosted.org/packages/16/90/5e6f80364d8a656f60681dfb7330298edef292d43e1499bcb3a4c71ff0b9/pip-1.0.2.tar.gz#sha256=a6ed9b36aac2f121c01a2c9e0307a9e4d9438d100a407db701ac65479a3335d2 (from https://pypi.org/simple/pip/), version: 1.0.2
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  Found link https://files.pythonhosted.org/packages/00/9e/4c83a0950d8bdec0b4ca72afd2f9cea92d08eb7c1a768363f2ea458d08b4/pip-19.2.3.tar.gz#sha256=e7a31f147974362e6c82d84b91c7f2bdf57e4d3163d3d454e6c3e71944d67135 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 19.2.3
  Found link https://files.pythonhosted.org/packages/4a/08/6ca123073af4ebc4c5488a5bc8a010ac57aa39ce4d3c8a931ad504de4185/pip-19.3-py2.py3-none-any.whl#sha256=e100a7eccf085f0720b4478d3bb838e1c179b1e128ec01c0403f84e86e0e2dfb (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 19.3
  Found link https://files.pythonhosted.org/packages/af/7a/5dd1e6efc894613c432ce86f1011fcc3bbd8ac07dfeae6393b7b97f1de8b/pip-19.3.tar.gz#sha256=324d234b8f6124846b4e390df255cacbe09ce22791c3b714aa1ea6e44a4f2861 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 19.3
  Found link https://files.pythonhosted.org/packages/00/b6/9cfa56b4081ad13874b0c6f96af8ce16cfbc1cb06bedf8e9164ce5551ec1/pip-19.3.1-py2.py3-none-any.whl#sha256=6917c65fc3769ecdc61405d3dfd97afdedd75808d200b2838d7d961cebc0c2c7 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 19.3.1
  Found link https://files.pythonhosted.org/packages/ce/ea/9b445176a65ae4ba22dce1d93e4b5fe182f953df71a145f557cffaffc1bf/pip-19.3.1.tar.gz#sha256=21207d76c1031e517668898a6b46a9fb1501c7a4710ef5dfd6a40ad9e6757ea7 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 19.3.1
  Found link https://files.pythonhosted.org/packages/60/65/16487a7c4e0f95bb3fc89c2e377be331fd496b7a9b08fd3077de7f3ae2cf/pip-20.0-py2.py3-none-any.whl#sha256=eea07b449d969dbc8c062c157852cf8ed2ad1b8b5ac965a6b819e62929e41703 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 20.0
  Found link https://files.pythonhosted.org/packages/8c/5c/c18d58ab5c1a702bf670e0bd6a77cd4645e4aeca021c6118ef850895cc96/pip-20.0.tar.gz#sha256=5128e9a9401f1d16c1d15b2ed766a79d7813db1538428d0b0ce74838249e3a41 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 20.0
  Found link https://files.pythonhosted.org/packages/57/36/67f809c135c17ec9b8276466cc57f35b98c240f55c780689ea29fa32f512/pip-20.0.1-py2.py3-none-any.whl#sha256=b7110a319790ae17e8105ecd6fe07dbcc098a280c6d27b6dd7a20174927c24d7 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 20.0.1
  Found link https://files.pythonhosted.org/packages/28/af/2c76c8aa46ccdf7578b83d97a11a2d1858794d4be4a1610ade0d30182e8b/pip-20.0.1.tar.gz#sha256=3cebbac2a1502e09265f94e5717408339de846b3c0f0ed086d7b817df9cab822 (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 20.0.1
  Found link https://files.pythonhosted.org/packages/54/0c/d01aa759fdc501a58f431eb594a17495f15b88da142ce14b5845662c13f3/pip-20.0.2-py2.py3-none-any.whl#sha256=4ae14a42d8adba3205ebeb38aa68cfc0b6c346e1ae2e699a0b3bad4da19cef5c (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 20.0.2
  Found link https://files.pythonhosted.org/packages/8e/76/66066b7bc71817238924c7e4b448abdb17eb0c92d645769c223f9ace478f/pip-20.0.2.tar.gz#sha256=7db0c8ea4c7ea51c8049640e8e6e7fde949de672bfa4949920675563a5a6967f (from https://pypi.org/simple/pip/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*), version: 20.0.2
Given no hashes to check 137 links for project 'pip': discarding no candidates
++ source /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/JenkinsGPkit/print_versions.sh
+++ python -c 'import scipy; print(scipy.__version__)'
1.4.1
+++ python -c 'import numpy; print(numpy.__version__)'
1.18.1
+++ python -c 'import pint; print(pint.__version__)'
0.11
+++ python -c 'import gpkit; print(gpkit.settings)'
/bin/sh: mskexpopt: command not found
No filename given.
Usage:
     mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
....................E..........................................................E..........................................................................................................F..............................................EE......
======================================================================
ERROR: test_quantity_sub (gpkit.tests.t_sub.TestModelSubs)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/t_sub.py", line 115, in test_quantity_sub
    self.assertRaises(ValueError, x.sub, {x: 1*gpkit.ureg.N})
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 756, in assertRaises
    return context.handle('assertRaises', args, kwargs)
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 178, in handle
    callable_obj(*args, **kwargs)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/variables.py", line 83, in sub
    return Monomial.sub(self, *args, **kwargs)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 170, in sub
    return Signomial(self.hmap.sub(substitutions, self.varkeys),
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/map.py", line 135, in sub
    cval = cval.to(vk.units or DIMLESS_QUANTITY).magnitude
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 591, in to
    magnitude = self._convert_magnitude_not_inplace(other, *contexts, **ctx_kwargs)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 540, in _convert_magnitude_not_inplace
    return self._REGISTRY.convert(self._magnitude, self._units, other)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 925, in convert
    return self._convert(value, src, dst, inplace)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 1762, in _convert
    return super()._convert(value, src, dst, inplace)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 1376, in _convert
    return super()._convert(value, src, dst, inplace)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/registry.py", line 958, in _convert
    raise DimensionalityError(src, dst, src_dim, dst_dim)
pint.errors.DimensionalityError: Cannot convert from 'newton' ([length] * [mass] / [time] ** 2) to 'centimeter' ([length])

======================================================================
ERROR: test_init (gpkit.tests.t_constraints.TestMonomialEquality)
Test initialization via both operator overloading and __init__
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 48, in of_division
    return self.division_cache[key]
KeyError: (4367687992, 4624692176)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 55, in of_division
    self.division_cache[key] = float(conversion)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__
    raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from '1 / foot' to 'dimensionless'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/t_constraints.py", line 155, in test_init
    self.assertRaises(ValueError, MonomialEquality, x, y)
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 756, in assertRaises
    return context.handle('assertRaises', args, kwargs)
  File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 178, in handle
    callable_obj(*args, **kwargs)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 516, in __init__
    self.unsubbed = self._gen_unsubbed(self.left, self.right)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 536, in _gen_unsubbed
    l_over_r = unsubbed(self, left, right)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 465, in _gen_unsubbed
    m_c *= units.of_division(m_gt, p_lt)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 57, in of_division
    raise DimensionalityError(numerator, denominator)
pint.errors.DimensionalityError: Cannot convert from 'y' to 'x [ft]'

======================================================================
ERROR: test_water_tank_mosek_cli (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 48, in of_division
    return self.division_cache[key]
KeyError: (4657328592, 4636538896)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 55, in of_division
    self.division_cache[key] = float(conversion)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__
    raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from 'meter ** 3 / kilogram' to 'dimensionless'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 59, in test
    testfn(name, import_dict, path)(self)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 94, in test
    imported[name] = importlib.import_module(name)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 728, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/docs/source/examples/water_tank.py", line 11, in <module>
    bad_monomial_equality = (M == V)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 342, in __eq__
    return MonomialEquality(self, other)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 516, in __init__
    self.unsubbed = self._gen_unsubbed(self.left, self.right)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 536, in _gen_unsubbed
    l_over_r = unsubbed(self, left, right)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 465, in _gen_unsubbed
    m_c *= units.of_division(m_gt, p_lt)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 57, in of_division
    raise DimensionalityError(numerator, denominator)
pint.errors.DimensionalityError: Cannot convert from 'V [mยณ]' to 'M [kg]'

======================================================================
ERROR: test_water_tank_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 48, in of_division
    return self.division_cache[key]
KeyError: (4657328592, 4636538896)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 55, in of_division
    self.division_cache[key] = float(conversion)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__
    raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from 'meter ** 3 / kilogram' to 'dimensionless'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 59, in test
    testfn(name, import_dict, path)(self)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 94, in test
    imported[name] = importlib.import_module(name)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 728, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/docs/source/examples/water_tank.py", line 11, in <module>
    bad_monomial_equality = (M == V)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 342, in __eq__
    return MonomialEquality(self, other)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 516, in __init__
    self.unsubbed = self._gen_unsubbed(self.left, self.right)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 536, in _gen_unsubbed
    l_over_r = unsubbed(self, left, right)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 465, in _gen_unsubbed
    m_c *= units.of_division(m_gt, p_lt)
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/units.py", line 57, in of_division
    raise DimensionalityError(numerator, denominator)
pint.errors.DimensionalityError: Cannot convert from 'V [mยณ]' to 'M [kg]'

======================================================================
FAIL: test_units_sub (gpkit.tests.t_solution_array.TestSolutionArray)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/t_solution_array.py", line 76, in test_units_sub
    self.assertEqual(sol(Tmin), tminsub)
AssertionError: <Quantity(4448.221615260501, 'newton')> != <Quantity(1000, 'force_pound')>

----------------------------------------------------------------------
Ran 241 tests in 22.023s

FAILED (failures=1, errors=4)
Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...

Attempting to find and build solvers:

#
# Looking for mosek_cli
#   Trying to run mskexpopt...
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# `mskexpopt` is not in system path, let's try adding it.
#   Trying to run mskexpopt...
#     Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in /Users/jenkins/mosek/8/tools/platform/osx64x86/bin
#
#
# Looking for mosek_conif
#   Trying to import mosek...
# Found mosek_conif in Python path
#
#
# Looking for cvxopt
#   Trying to import cvxopt...
# Did not find
# cvxopt
...finished building gpkit.
Replaced found solvers (['mosek_cli', 'mosek_conif']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)

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

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

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

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

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

Enjoy!

{'installed_solvers': ['mosek_cli', 'mosek_conif'], 'mosek_bin_dir': '/Users/jenkins/mosek/8/tools/platform/osx64x86/bin', 'default_solver': 'mosek_cli', 'just built!': True}
++ export MSK_IPAR_NUM_THREADS=2
++ MSK_IPAR_NUM_THREADS=2
++ export MKL_NUM_THREADS=2
++ MKL_NUM_THREADS=2
++ export NUMEXPR_NUM_THREADS=2
++ NUMEXPR_NUM_THREADS=2
++ export OPENBLAS_NUM_THREADS=2
++ OPENBLAS_NUM_THREADS=2
++ export OMP_NUM_THREADS=2
++ OMP_NUM_THREADS=2
++ python -c 'from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True, ingpkitmodels=True)'
Obtaining file:///Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek
Installing collected packages: gpkitmodels
  Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
Cloning into 'robust'...
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)

Running tests...
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Running tests...
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Ran 42 tests in 106.124s

OK

Generating XML reports...
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Running tests...
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Ran 42 tests in 64.759s

OK

Generating XML reports...
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Ran 2 tests in 171.634s

OK

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

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

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

SGP not convergent: Cost rose by 2.1% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Final solution let signomial constraints slacken by 0.045%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

SGP not convergent: Cost rose by 0.029% on GP solve 6. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.087% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.5% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Final solution let signomial constraints slacken by 0.0017%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

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

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

SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

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

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

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

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

Final solution let signomial constraints slacken by 1.6%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

SGP not convergent: Cost rose by 0.025% on GP solve 5. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Final solution let signomial constraints slacken by 0.026%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

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

SGP not convergent: Cost rose by 0.034% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.088% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

SGP not convergent: Cost rose by 0.03% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

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

SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

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

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

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

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

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

Final solution let signomial constraints slacken by 0.055%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

SGP not convergent: Cost rose by 2.6% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Final solution let signomial constraints slacken by 0.054%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

SGP not convergent: Cost rose by 0.0079% on GP solve 6. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.06% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.029% on GP solve 6. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.027% on GP solve 6. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

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

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

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

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

Final solution let signomial constraints slacken by 0.03%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.

SGP not convergent: Cost rose by 0.14% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.11% on GP solve 3. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.0052% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

SGP not convergent: Cost rose by 9.4% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.33% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

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

Cloning into 'shopping'...

Running tests...
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...
----------------------------------------------------------------------
Ran 3 tests in 0.372s

OK

Generating XML reports...
adding test for 'test.py'
Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.0585 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.0573 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 40 posynomial inequalities.
Solving took 0.029 seconds.
Cloning into 'gassolar'...
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Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-4fgczi5d
  Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-4fgczi5d
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0)
Collecting pint<0.10,>=0.8.1
  Using cached Pint-0.9-py2.py3-none-any.whl (138 kB)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Collecting cvxopt>=1.1.8
  Using cached cvxopt-1.2.4-cp37-cp37m-macosx_10_9_x86_64.whl (3.1 MB)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=a6bfce894e5df23305b3a3784705cb06c5a6454e4fe4253b20d42dc86bea32e9
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-m83mmr1a/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
ERROR: gpkitmodels 0.0.0.0 requires future, which is not installed.
Installing collected packages: gpfit, pint, cvxopt
  Attempting uninstall: pint
    Found existing installation: Pint 0.11
    Uninstalling Pint-0.11:
      Successfully uninstalled Pint-0.11
Successfully installed cvxopt-1.2.4 gpfit-0.1 pint-0.9
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gassolar
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.0.1)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
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Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.3)
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Building wheels for collected packages: gassolar
  Building wheel for gassolar (setup.py): started
  Building wheel for gassolar (setup.py): finished with status 'done'
  Created wheel for gassolar: filename=gassolar-0.0.0.0-py3-none-any.whl size=4876521 sha256=e043624e00a970753eed8ae06216f1903f21bc1dec3da339e4e9fdbceaadf738
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ulg5a_md/wheels/6d/9b/77/e9ae19bc97c8b21e3b7aab9735e5c1e0790672ee79ae5b910b
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0

Running tests...
----------------------------------------------------------------------
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
.
----------------------------------------------------------------------
Ran 4 tests in 24.541s

OK

Generating XML reports...
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'
Using solver 'mosek_cli'
 for 592 free variables
  in 918 posynomial inequalities.
Solving took 0.129 seconds.
Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Starting a sequence of GP solves
 for 5 free variables
  in 2 signomial constraints
  and for 600 free variables
       in 926 posynomial inequalities.
Solving took 0.647 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek_conif'
 for 592 free variables
  in 918 posynomial inequalities.
Solving took 0.198 seconds.
Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Starting a sequence of GP solves
 for 5 free variables
  in 2 signomial constraints
  and for 600 free variables
       in 926 posynomial inequalities.
Solving took 0.849 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek_cli'
 for 1250 free variables
  in 1872 posynomial inequalities.
Solving took 0.49 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Starting a sequence of GP solves
 for 25 free variables
  in 12 signomial constraints
  and for 1298 free variables
       in 1930 posynomial inequalities.
Solving took 2.73 seconds and 4 GP solves.
Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000
Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000
Using solver 'mosek_conif'
 for 1250 free variables
  in 1872 posynomial inequalities.
Solving took 0.404 seconds.
Warning: Variable Mission.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.2434 but bound is 150000.0000
Warning: Variable Mission.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.3802 but bound is 150000.0000
Starting a sequence of GP solves
 for 25 free variables
  in 12 signomial constraints
  and for 1298 free variables
       in 1930 posynomial inequalities.
Solving took 4.74 seconds and 4 GP solves.
Warning: Variable Mission1.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103379.6574 but bound is 150000.0000
Warning: Variable Mission1.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.2635 but bound is 150000.0000
Cloning into 'jho'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1)
Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-8a52xd8k
  Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-8a52xd8k
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=b49be0be97c8a3e4a25fd29e86f0e8caa44290c1903099e3e58a78ccac479a97
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-6yxp0kcn/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit

Running tests...
----------------------------------------------------------------------
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..
----------------------------------------------------------------------
Ran 4 tests in 31.015s

OK

Generating XML reports...
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'
Starting a sequence of GP solves
 for 5 free variables
  in 6 signomial constraints
  and for 847 free variables
       in 2010 posynomial inequalities.
Solving took 1.68 seconds and 4 GP solves.
Starting a sequence of GP solves
 for 5 free variables
  in 6 signomial constraints
  and for 847 free variables
       in 2010 posynomial inequalities.
Solving took 1.51 seconds and 4 GP solves.
MTOW [lbs] = 141.77
Zero fuel weight [lbs] = 53.80
Wing span [ft] = 24.00
Aicraft length [ft] = 12.90
Aspect ratio = 25.60
mean aerodynamic chord [ft] = 0.9722
root chord [ft] = 1.250
speed for best rate of climb [m/s]: Vy = 21.829
speed at top of climb [m/s] = 26.622
design loiter speed [m/s] = 25.070
rotation speed at 55 lbs [m/s] = 18.185
rotation speed at 150 lbs [m/s] = 28.236
optimum loiter speed for min power, start of loiter [m/s] = 25.279
optimum loiter speed for min power, end of loiter [m/s] = 17.233
optimum cruise speed, inbound [m/s] = 25.637
optimum cruise speed, outbound [m/s] = 36.269
Starting a sequence of GP solves
 for 5 free variables
  in 6 signomial constraints
  and for 827 free variables
       in 1995 posynomial inequalities.
Solving took 2.18 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Starting a sequence of GP solves
 for 5 free variables
  in 6 signomial constraints
  and for 828 free variables
       in 1995 posynomial inequalities.
Solving took 1.59 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.418
MTOW [lbs] = 141.77
Zero fuel weight [lbs] = 53.80
Wing span [ft] = 24.00
Aicraft length [ft] = 12.90
Aspect ratio = 25.60
mean aerodynamic chord [ft] = 0.9722
root chord [ft] = 1.250
speed for best rate of climb [m/s]: Vy = 21.829
speed at top of climb [m/s] = 26.622
design loiter speed [m/s] = 25.070
rotation speed at 55 lbs [m/s] = 18.185
rotation speed at 150 lbs [m/s] = 28.236
optimum loiter speed for min power, start of loiter [m/s] = 25.279
optimum loiter speed for min power, end of loiter [m/s] = 17.233
optimum cruise speed, inbound [m/s] = 25.637
optimum cruise speed, outbound [m/s] = 36.269
Starting a sequence of GP solves
 for 5 free variables
  in 6 signomial constraints
  and for 827 free variables
       in 1995 posynomial inequalities.
Solving took 1.77 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Starting a sequence of GP solves
 for 5 free variables
  in 6 signomial constraints
  and for 828 free variables
       in 1995 posynomial inequalities.
Solving took 1.5 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.417
Cloning into 'turbofan'...
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/turbofan
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (0.9)
Processing /Users/jenkins/Library/Caches/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0/future-0.18.2-py3-none-any.whl
Building wheels for collected packages: turbofan
  Building wheel for turbofan (setup.py): started
  Building wheel for turbofan (setup.py): finished with status 'done'
  Created wheel for turbofan: filename=turbofan-0.0.0.0-py3-none-any.whl size=43842 sha256=3914af7fff994df8b41e9ce77356185cf10a57654941d20273ed96ba94b2660e
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-y0z04vr4/wheels/76/65/76/e1e7601db02e46154a0e72dde6e3b004a716491461eb94c4b8
Successfully built turbofan
Installing collected packages: future, turbofan
Successfully installed future-0.18.2 turbofan-0.0.0.0

Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 1.024s

OK

Generating XML reports...
adding test for 'turbofan/engine_test.py'
Starting a sequence of GP solves
 for 27 free variables
  in 14 signomial constraints
  and for 244 free variables
       in 492 posynomial inequalities.

GP Solve 1
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.126 seconds.
Solved cost was 7.929e+13.

GP Solve 2
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0318 seconds.
Solved cost was 31.14.

GP Solve 3
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.03 seconds.
Solved cost was 10.16.

GP Solve 4
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0285 seconds.
Solved cost was 7.827.

GP Solve 5
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0236 seconds.
Solved cost was 7.281.

GP Solve 6
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0223 seconds.
Solved cost was 7.108.

GP Solve 7
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0216 seconds.
Solved cost was 7.029.

GP Solve 8
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0199 seconds.
Solved cost was 6.991.

GP Solve 9
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0289 seconds.
Solved cost was 6.973.

GP Solve 10
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0298 seconds.
Solved cost was 6.965.

GP Solve 11
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0349 seconds.
Solved cost was 6.96.

GP Solve 12
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0288 seconds.
Solved cost was 6.958.

GP Solve 13
Using solver 'mosek_conif'
 for 244 free variables
  in 492 posynomial inequalities.
Solving took 0.0305 seconds.
Solved cost was 6.957.

Solving took 0.707 seconds and 13 GP solves.
Cloning into 'solar'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3)
Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)
Collecting git+https://github.com/convexengineering/gpfit.git
  Cloning https://github.com/convexengineering/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-31drbu08
  Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-31drbu08
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=e3737ecac60c4739ca61c2dc3d7379a233b01199c487a8865dba134ea78f9448
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-w7es35wq/wheels/68/65/b3/0afb13c0a818424d0e07427d1c5a4312849fc7491f18bd34a0
Successfully built gpfit
Collecting git+https://github.com/convexengineering/gassolar.git
  Cloning https://github.com/convexengineering/gassolar.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-o9zpe3cj
  Running command git clone -q https://github.com/convexengineering/gassolar.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-o9zpe3cj
Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.0.1)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas->gassolar==0.0.0.0) (1.14.0)
Building wheels for collected packages: gassolar
  Building wheel for gassolar (setup.py): started
  Building wheel for gassolar (setup.py): finished with status 'done'
  Created wheel for gassolar: filename=gassolar-0.0.0.0-py3-none-any.whl size=4876521 sha256=a3a826813ce4c6957d0e84462f3d6b5688ec1840d6634f1b7bd7d1dd096ba8b7
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ud88obt8/wheels/84/16/d2/54d8f9e64f486a627f1c5353e5786ffa7a35c88bec592de580
Successfully built gassolar
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/solar
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from solar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (1.0.1)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->solar==0.0.0.0) (1.2.4)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->solar==0.0.0.0) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->solar==0.0.0.0) (2.8.1)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas->solar==0.0.0.0) (1.14.0)
Building wheels for collected packages: solar
  Building wheel for solar (setup.py): started
  Building wheel for solar (setup.py): finished with status 'done'
  Created wheel for solar: filename=solar-0.0.0.0-py3-none-any.whl size=14841 sha256=96afb79c5a3a0054c3c422e0376cc1d002f2932c944f42b8fca20fe9a21063c0
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-__3_45re/wheels/22/01/a0/b123acf822a2c6c44b2ba6fed6e2b37cd8fa3ce518efd38d85
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0

Running tests...
----------------------------------------------------------------------
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
./Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..
----------------------------------------------------------------------
Ran 6 tests in 82.283s

OK

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

N=1
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 980 free variables
       in 1300 posynomial inequalities.
Solving took 1.36 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000

N=3
Starting a sequence of GP solves
 for 67 free variables
  in 23 signomial constraints
  and for 1032 free variables
       in 1384 posynomial inequalities.
Solving took 1.31 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036209.6021 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006641.3990 but bound is 1000000.0000

N=5
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 1084 free variables
       in 1492 posynomial inequalities.
Solving took 1.42 seconds and 4 GP solves.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329202.9037 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208149.0070 but bound is 1000000.0000

N=7
Starting a sequence of GP solves
 for 71 free variables
  in 27 signomial constraints
  and for 1136 free variables
       in 1624 posynomial inequalities.
Solving took 1.53 seconds and 4 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976138.7332 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.9154 but bound is 1000000.0000

N=9
Starting a sequence of GP solves
 for 73 free variables
  in 29 signomial constraints
  and for 1188 free variables
       in 1780 posynomial inequalities.
Solving took 1.7 seconds and 4 GP solves.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000

N=0
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 1.36 seconds and 4 GP solves.
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000

N=1
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 980 free variables
       in 1300 posynomial inequalities.
Solving took 1.75 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 1632911.7234 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259326.6895 but bound is 1000000.0000

N=3
Starting a sequence of GP solves
 for 67 free variables
  in 23 signomial constraints
  and for 1032 free variables
       in 1384 posynomial inequalities.
Solving took 2.02 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 1036200.7861 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006642.0928 but bound is 1000000.0000

N=5
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 1084 free variables
       in 1492 posynomial inequalities.
SGP not convergent: Cost rose by 0.00013% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Solving took 2.5 seconds and 6 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 1329192.6364 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208130.7875 but bound is 1000000.0000

N=7
Starting a sequence of GP solves
 for 71 free variables
  in 27 signomial constraints
  and for 1136 free variables
       in 1624 posynomial inequalities.
SGP not convergent: Cost rose by 0.00065% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Solving took 2.48 seconds and 6 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976141.9425 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.1076 but bound is 1000000.0000

N=9
Starting a sequence of GP solves
 for 73 free variables
  in 29 signomial constraints
  and for 1188 free variables
       in 1780 posynomial inequalities.
Solving took 2.23 seconds and 4 GP solves.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007400.1232 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.9342 but bound is 1000000.0000

N=0
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 1.61 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 1119119.1459 but bound is 600000.0000
Using solver 'mosek_cli'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 3.14 seconds.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839120.8369 but bound is 600000.0000
Using solver 'mosek_conif'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 4.3 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 839125.4590 but bound is 600000.0000
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 1.51 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000
Starting a sequence of GP solves
 for 63 free variables
  in 21 signomial constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
SGP not convergent: Cost rose by 0.00036% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Solving took 2.99 seconds and 6 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119117.9372 but bound is 600000.0000
Cloning into 'gplibrary'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
  Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-ft6al5_q
  Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-ft6al5_q
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
  Building wheel for gpfit (setup.py): started
  Building wheel for gpfit (setup.py): finished with status 'done'
  Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=b97ba8eb523a6ac28f02ec0329c7a5a0c2646feb0c10a4aee01d4d8e30a1b7ca
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-9sjlfn0z/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
Processing /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gplibrary
Requirement already satisfied: numpy>=1.12 in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: future in /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkitmodels==0.0.0.0) (0.18.2)
Building wheels for collected packages: gpkitmodels
  Building wheel for gpkitmodels (setup.py): started
  Building wheel for gpkitmodels (setup.py): finished with status 'done'
  Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-py3-none-any.whl size=66127 sha256=0147aeb6e6c8b059f3fa0e989735c9414d2587f51e2d20bfa67b0a3d0b222afb
  Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-5wvx0g3a/wheels/b8/f4/e7/d4333496cfe233f4f665fd8576190e00b52c7c890b89e80e59
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
  Attempting uninstall: gpkitmodels
    Found existing installation: gpkitmodels 0.0.0.0
    Uninstalling gpkitmodels-0.0.0.0:
      Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0

Running tests...
----------------------------------------------------------------------
../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
../Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
........
----------------------------------------------------------------------
Ran 16 tests in 11.215s

OK

Generating XML reports...
adding test for 'gpkitmodels/GP/aircraft/wing/wing_test.py'
adding test for 'gpkitmodels/GP/aircraft/tail/tail_tests.py'
adding test for 'gpkitmodels/GP/aircraft/fuselage/test_fuselage.py'
adding test for 'gpkitmodels/GP/aircraft/prop/prop_test.py'
adding test for 'gpkitmodels/GP/aircraft/motor/motor_test.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_mission.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py'
Using solver 'mosek_cli'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0491 seconds.
Using solver 'mosek_conif'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0207 seconds.
Using solver 'mosek_cli'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.0577 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0524 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0536 seconds.
Starting a sequence of GP solves
 for 42 free variables
  in 11 signomial constraints
  and for 129 free variables
       in 211 posynomial inequalities.
Solving took 1.43 seconds and 16 GP solves.
Using solver 'mosek_conif'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.0174 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0185 seconds.
Using solver 'mosek_conif'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0182 seconds.
Starting a sequence of GP solves
 for 42 free variables
  in 11 signomial constraints
  and for 129 free variables
       in 211 posynomial inequalities.
Solving took 0.769 seconds and 16 GP solves.
Using solver 'mosek_cli'
 for 13 free variables
  in 16 posynomial inequalities.
Solving took 0.0506 seconds.
Starting a sequence of GP solves
 for 42 free variables
  in 11 signomial constraints
  and for 117 free variables
       in 190 posynomial inequalities.
Solving took 1.05 seconds and 11 GP solves.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Using solver 'mosek_conif'
 for 13 free variables
  in 16 posynomial inequalities.
Solving took 0.0181 seconds.
Starting a sequence of GP solves
 for 42 free variables
  in 11 signomial constraints
  and for 117 free variables
       in 190 posynomial inequalities.
Solving took 0.672 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 1620000.9213 but bound is 700000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3820 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.8943 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.3133 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860716.9907 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853895.7864 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853894.2954 but bound is 1000000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884889.9591 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.2401 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.5075 but bound is 700000.0000
SGP not convergent: Cost rose by 9% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

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

SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 27% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

SGP not convergent: Cost rose by 0.49% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.

Starting a sequence of GP solves
 for 3 free variables
  in 1 signomial constraints
  and for 21 free variables
       in 22 posynomial inequalities.

GP Solve 1
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0489 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0521 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0562 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_cli'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0519 seconds.
Solved cost was 4536.

Solving took 0.221 seconds and 4 GP solves.
Starting a sequence of GP solves
 for 3 free variables
  in 1 signomial constraints
  and for 21 free variables
       in 22 posynomial inequalities.

GP Solve 1
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0218 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0204 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0147 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.018 seconds.
Solved cost was 4536.

Solving took 0.0804 seconds and 4 GP solves.
Cloning into 'eVTOL'...

Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 4.415s

OK

Generating XML reports...
adding test for 'models/model_tests.py'
USING LOCAL DIRECTORY AS GPKITMODELS DIRECTORY
calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', '--no-cache-dir', '--no-deps', '-e', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/robust.git']
  attempt 1

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

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

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

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

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

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

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

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

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

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

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

calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'pandas']
  attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gpfit.git']
  attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', 'git+https://github.com/convexengineering/gassolar.git']
  attempt 1
calling ['python', '/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/bin/pip', 'install', '.']
  attempt 1
calling ['git', 'clone', '--depth', '1', '-b', 'master', 'https://github.com/convexengineering/gplibrary.git']
  attempt 1

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

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

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

[Execution node] check if [macys_VM] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
Recording test results
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: SUCCESS