Passed

gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_motor_motor_test_py_cvxopt (from gpkit.tests.from_paths.TestFiles-20210714223756)

Standard Output

Using solver 'cvxopt'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0836 seconds.
Using solver 'cvxopt'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.0394 seconds.
Using solver 'cvxopt'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0728 seconds.
Using solver 'cvxopt'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0676 seconds.
Starting a sequence of GP solves
 for 53 free variables
  in 11 locally-
...[truncated 2180 chars]...
seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'cvxopt'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0323 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'cvxopt'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0317 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'cvxopt'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0326 seconds.
Solved cost was 4536.

Solving took 0.141 seconds and 4 GP solves.
	

Standard Error

/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/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/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.
...[truncated 3351 chars]...
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/cvxopt/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 6.1% (1588.62 to 1685.18) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  prevcost, cost, len(self.gps)))