Passed
gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_wing_wing_test_py_cvxopt (from gpkit.tests.from_paths.TestFiles-20210310183200)
Standard Output
Using solver 'cvxopt' for 11 free variables in 14 posynomial inequalities. Solving took 0.0363 seconds. Using solver 'cvxopt' for 9 free variables in 15 posynomial inequalities. Solving took 0.00756 seconds. Using solver 'cvxopt' for 25 free variables in 35 posynomial inequalities. Solving took 0.0148 seconds. Using solver 'cvxopt' for 25 free variables in 35 posynomial inequalities. Solving took 0.0208 seconds. Starting a sequence of GP solves for 53 free variables in 11 locally ...[truncated 2183 chars]... econds. Solved cost was 5717. GP Solve 2 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0137 seconds. Solved cost was 4538. GP Solve 3 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0136 seconds. Solved cost was 4536. GP Solve 4 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0134 seconds. Solved cost was 4536. Solving took 0.0587 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 3354 chars]... t 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:178: UserWarning: SGP not convergent: Cost rose by 6.1% on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note that convergence is not guaranteed for models with SignomialEqualities. % (100*(cost - prevcost)/prevcost, len(self.gps)))