Passed

gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_wing_wing_test_py_mosek_cli (from gpkit.tests.from_paths.TestFiles-20210624174332)

Standard Output

Using solver 'mosek_cli'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.161 seconds.
Using solver 'mosek_conif'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.023 seconds.
Using solver 'mosek_cli'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.157 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0851 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posyn
...[truncated 5429 chars]...
cost was 5717.

GP Solve 2
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0182 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0199 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0187 seconds.
Solved cost was 4536.

Solving took 0.0872 seconds and 4 GP solves.
	

Standard Error

/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.wa
...[truncated 9424 chars]...
lities.
  % (100*(cost - prevcost)/prevcost, prevcost, cost, len(self.gps)))
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py:179: UserWarning: SGP not convergent: Cost rose by 0.32% (3808.98 to 3821.21) on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  % (100*(cost - prevcost)/prevcost, prevcost, cost, len(self.gps)))