Passed

gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_motor_motor_test_py_mosek_conif (from gpkit.tests.from_paths.TestFiles-20210212161119)

Standard Output

Using solver 'mosek_cli'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0365 seconds.
Using solver 'mosek_conif'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0143 seconds.
Using solver 'mosek_cli'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.0364 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0372 seconds.
Using solver 'mosek_cli'
 for 25 free variables
  in 35 po
...[truncated 10814 chars]...
cost was 5717.

GP Solve 2
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0125 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0115 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'mosek_conif'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0115 seconds.
Solved cost was 4536.

Solving took 0.0531 seconds and 4 GP solves.
	

Standard Error

/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the q
...[truncated 10016 chars]...
t guaranteed for models with SignomialEqualities.
  % (100*(cost - prevcost)/prevcost, len(self.gps)))
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:178: UserWarning: SGP not convergent: Cost rose by 0.32% on GP solve 4. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities.
  % (100*(cost - prevcost)/prevcost, len(self.gps)))