Passed
gpkit.tests.from_paths.TestFiles.test_gpkitmodels_SP_SimPleAC_SimPleAC_py_mosek_cli (from gpkit.tests.from_paths.TestFiles-20201201234427)
Standard Output
Using solver 'mosek_cli' for 11 free variables in 14 posynomial inequalities. Solving took 1.23 seconds. Using solver 'mosek_conif' for 11 free variables in 14 posynomial inequalities. Solving took 0.807 seconds. Using solver 'mosek_cli' for 9 free variables in 15 posynomial inequalities. Solving took 0.747 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomial inequalities. Solving took 0.3 seconds. Using solver 'mosek_cli' for 25 free variables in 35 posynomia ...[truncated 10795 chars]... cost was 5717. GP Solve 2 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0399 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0192 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0694 seconds. Solved cost was 4536. Solving took 0.162 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/_asarray.py:136: 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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:136: UnitStrippedWarning: The unit of the q ...[truncated 10016 chars]... t guaranteed for models with SignomialEqualities. % (100*(cost - prevcost)/prevcost, len(self.gps))) /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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)))