Failed
gpkit.tests.from_paths.TestFiles.test_SPaircraft_py_mosek_conif (from gpkit.tests.from_paths.TestFiles-20210802120310)
Failing for the past 1 build
(Since Failed
)
Error Message
index 1 is out of bounds for axis 0 with size 1
Stacktrace
Traceback (most recent call last): File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/helpers.py", line 55, in test testfn(name, import_dict, path)(self) File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/from_paths.py", line 48, in <lambda> lambda self: getattr(self, name)())) # pylint:disable=undefined-variable File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/tests/from_paths.py", line 34, in test_fn mod = __import__(os.path.basename(path)[:-3]) File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/SPaircraft/SPaircraft.py", line 89, in <module> sol = test() File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/SPaircraft/SPaircraft.py", line 82, in test sol = optimize_aircraft(m, substitutions, fixedBPR, pRatOpt) File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/SPaircraft/SPaircraft.py", line 60, in optimize_aircraft sol = m.localsolve(verbosity=2, iteration_limit=200, reltol=0.01) File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py", line 133, in solvefn result = progsolve(solver, verbosity=verbosity, **kwargs) File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py", line 183, in localsolve self.result = gp.generate_result(solver_out, verbosity=verbosity-3) File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/gp.py", line 271, in generate_result result = self._compile_result(solver_out) # NOTE: SIDE EFFECTS File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/gp.py", line 354, in _compile_result v_ss, c_senss = c.sens_from_dual(las, nus, result) File "/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/math.py", line 490, in sens_from_dual nu_[idx] += percentage*nu[i] IndexError: index 1 is out of bounds for axis 0 with size 1
Standard Output
Starting a sequence of GP solves for 317 free variables in 136 locally-GP constraints and for 1198 free variables in 4596 posynomial inequalities. GP Solve 1 Using solver 'mosek_cli' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.642 seconds. Solved cost was 3.965e+40. GP Solve 2 Using solver 'mosek_cli' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.0577 seconds. Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Since the model solved in less than a second, let's run `.debug()` to analyze what happened. ` Starting a sequence of GP solves for 317 free variables in 136 locally-GP constraints and for 1198 free variables in 4596 posynomial inequalities. GP Solve 1 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.361 seconds. Solved cost was 3.965e+40. GP Solve 2 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.366 seconds. Solved cost was 3.408e+297. GP Solve 3 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.435 seconds. Solved cost was 1.123e+274. GP Solve 4 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.337 seconds. Solved cost was 6.799e+273. GP Solve 5 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.321 seconds. Solved cost was 4.353e+273. GP Solve 6 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.297 seconds. Solved cost was 4.261e+273. GP Solve 7 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.269 seconds. Solved cost was 4.342e+273. GP Solve 8 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.349 seconds. Solved cost was 4.303e+273. GP Solve 9 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.278 seconds. Solved cost was 4.323e+273. GP Solve 10 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.314 seconds. Solved cost was 4.292e+273. GP Solve 11 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.3 seconds. Solved cost was 4.329e+273. GP Solve 12 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.548 seconds. Solved cost was 4.304e+273. GP Solve 13 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.321 seconds. Solved cost was 4.153e+273. GP Solve 14 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.417 seconds. Solved cost was 4.322e+273. GP Solve 15 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.453 seconds. Solved cost was 4.236e+273. GP Solve 16 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.462 seconds. Solved cost was 4.117e+273. GP Solve 17 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.45 seconds. Solved cost was 4.328e+273. GP Solve 18 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.447 seconds. Solved cost was 4.184e+273. GP Solve 19 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.531 seconds. Solved cost was 4.265e+273. GP Solve 20 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.356 seconds. Solved cost was 4.182e+273. GP Solve 21 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.402 seconds. Solved cost was 4.273e+273. GP Solve 22 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.351 seconds. Solved cost was 4.191e+273. GP Solve 23 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.303 seconds. Solved cost was 3.994e+273. GP Solve 24 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.311 seconds. Solved cost was 4.302e+273. GP Solve 25 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.465 seconds. Solved cost was 4.344e+273. GP Solve 26 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.381 seconds. Solved cost was 4.255e+273. GP Solve 27 Using solver 'mosek_conif' for 1198 free variables in 4596 posynomial inequalities. Solving took 0.44 seconds. Solved cost was 4.246e+273.
Standard Error
/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 8.6e+258% (3.96464e+40 to 3.4075e+297) 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 1.9% (4.26061e+273 to 4.34159e+273) on GP solve 7. 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 0.47% (4.30294e+273 to 4.32318e+273) on GP solve 9. 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 0.88% (4.2917e+273 to 4.32946e+273) on GP solve 11. 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 4.1% (4.15282e+273 to 4.32157e+273) on GP solve 14. 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 5.1% (4.11699e+273 to 4.32841e+273) on GP solve 17. 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 1.9% (4.1845e+273 to 4.26544e+273) on GP solve 19. 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 2.2% (4.18223e+273 to 4.27328e+273) on GP solve 21. 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_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/sgp.py:180: UserWarning: SGP not convergent: Cost rose by 7.7% (3.99433e+273 to 4.30169e+273) on GP solve 24. 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)))