Passed
gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_wing_wing_test_py_mosek_conif (from gpkit.tests.from_paths.TestFiles-20210427213350)
Standard Output
Using solver 'mosek_cli' for 11 free variables in 14 posynomial inequalities. Solving took 0.0388 seconds. Using solver 'mosek_conif' for 11 free variables in 14 posynomial inequalities. Solving took 0.0152 seconds. Using solver 'mosek_cli' for 9 free variables in 15 posynomial inequalities. Solving took 0.0371 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.0379 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 0.0142 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0119 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0127 seconds. Solved cost was 4536. Solving took 0.0585 seconds and 4 GP solves.
Standard Error
/Users/jenkins/workspace/CE_RM_gplibrary_Push/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_RM_gplibrary_Push/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 ...[truncated 6020 chars]... y. Note that convergence is not guaranteed for models with SignomialEqualities. % (100*(cost - prevcost)/prevcost, len(self.gps))) /Users/jenkins/workspace/CE_RM_gplibrary_Push/mosek/gpkit/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)))