Passed
gpkit.tests.from_paths.TestFiles.test_gpkitmodels_SP_SimPleAC_SimPleAC_mission_py_mosek_cli (from gpkit.tests.from_paths.TestFiles-20210714230931)
Standard Output
Using solver 'mosek_cli' for 11 free variables in 14 posynomial inequalities. Solving took 0.0651 seconds. Using solver 'mosek_conif' for 11 free variables in 14 posynomial inequalities. Solving took 0.0193 seconds. Using solver 'mosek_cli' for 9 free variables in 15 posynomial inequalities. Solving took 0.0758 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.0649 seconds. Using solver 'mosek_cli' for 25 free variables in 35 po ...[truncated 10809 chars]... cost was 5717. GP Solve 2 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0227 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0187 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0156 seconds. Solved cost was 4536. Solving took 0.0888 seconds and 4 GP solves.
Standard Error
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting ...[truncated 6682 chars]... Note convergence is not guaranteed for models with SignomialEqualities. prevcost, cost, len(self.gps))) /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 0.32% (3808.98 to 3821.21) on GP solve 4. 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)))