Failed
gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_tail_tail_tests_py_mosek_cli (from gpkit.tests.from_paths.TestFiles-20210816155043)
Failing for the past 1 build
(Since Failed
)
Error Message
No module named 'gpfit.fit_constraintset'
Stacktrace
Traceback (most recent call last): File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 55, in test testfn(name, import_dict, path)(self) File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda> lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 34, in test_fn mod = __import__(os.path.basename(path)[:-3]) File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/GP/aircraft/tail/tail_tests.py", line 2, in <module> from gpkitmodels.GP.aircraft.tail.horizontal_tail import HorizontalTail File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gpkitmodels/GP/aircraft/tail/horizontal_tail.py", line 4, in <module> from .tail_aero import TailAero File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gpkitmodels/GP/aircraft/tail/tail_aero.py", line 5, in <module> from gpfit.fit_constraintset import XfoilFit ImportError: No module named 'gpfit.fit_constraintset'
Standard Output
Starting a sequence of GP solves for 4 free variables in 1 locally-GP constraints and for 21 free variables in 22 posynomial inequalities. GP Solve 1 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0869 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0838 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0439 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_cli' for 21 free variables in 22 posynomial inequalities. Solving took 0.0757 seconds. Solved cost was 4536. Solving took 0.299 seconds and 4 GP solves. Starting a sequence of GP solves for 4 free variables in 1 locally-GP constraints and for 21 free variables in 22 posynomial inequalities. GP Solve 1 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.023 seconds. Solved cost was 5717. GP Solve 2 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0276 seconds. Solved cost was 4538. GP Solve 3 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.038 seconds. Solved cost was 4536. GP Solve 4 Using solver 'mosek_conif' for 21 free variables in 22 posynomial inequalities. Solving took 0.0229 seconds. Solved cost was 4536. Solving took 0.119 seconds and 4 GP solves.
Standard Error
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 6.1% (1588.61 to 1685.18) on GP solve 2. 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))) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 6.1% (1588.61 to 1685.18) on GP solve 2. 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))) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 25% (3053.31 to 3816.15) on GP solve 2. 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))) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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))) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 25% (3053.31 to 3816.15) on GP solve 2. 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))) /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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)))