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Passed
gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_wing_wing_test_py_cvxopt (from gpkit.tests.from_paths.TestFiles-20210226171858)
Standard Output
Using solver 'cvxopt' for 11 free variables in 14 posynomial inequalities. Solving took 0.0426 seconds. Using solver 'cvxopt' for 9 free variables in 15 posynomial inequalities. Solving took 0.0141 seconds. Using solver 'cvxopt' for 25 free variables in 35 posynomial inequalities. Solving took 0.0252 seconds. Using solver 'cvxopt' for 25 free variables in 35 posynomial inequalities. Solving took 0.0975 seconds. Starting a sequence of GP solves for 53 free variables in 11 locally- ...[truncated 2179 chars]... seconds. Solved cost was 5717. GP Solve 2 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0473 seconds. Solved cost was 4538. GP Solve 3 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.0262 seconds. Solved cost was 4536. GP Solve 4 Using solver 'cvxopt' for 21 free variables in 22 posynomial inequalities. Solving took 0.035 seconds. Solved cost was 4536. Solving took 0.169 seconds and 4 GP solves.
Standard Error
/jenkins/workspace/CE_gplibrary_Push_research_models/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_gplibrary_Push_research_models/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.", ...[truncated 3015 chars]... dWarning: The unit of the quantity is stripped. warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning) /jenkins/workspace/CE_gplibrary_Push_research_models/cvxopt/gpkit/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)))