Passed
gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_wing_wing_test_py_cvxopt (from gpkit.tests.from_paths.TestFiles-20210427184119)
Standard Output
Using solver 'cvxopt' for 11 free variables in 14 posynomial inequalities. Solving took 0.172 seconds. Using solver 'cvxopt' for 9 free variables in 15 posynomial inequalities. Solving took 0.0234 seconds. Using solver 'cvxopt' for 25 free variables in 35 posynomial inequalities. Solving took 0.0434 seconds. Using solver 'cvxopt' for 25 free variables in 35 posynomial inequalities. Solving took 0.0853 seconds. Starting a sequence of GP solves for 53 free variables in 11 locally-G ...[truncated 2179 chars]... seconds. Solved cost was 5717. GP Solve 2 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0408 seconds. Solved cost was 4538. GP Solve 3 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0395 seconds. Solved cost was 4536. GP Solve 4 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0264 seconds. Solved cost was 4536. Solving took 0.148 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)))