Failed
robust.testing.t_simulation.TestSimulation.test_table_diff (from robust.testing.t_simulation.TestSimulation-20190924163748)
Failing for the past 1 build
(Since Failed
)
Error Message
Lists differ: ['L/D & 1.7e+01 & 1.6e+01 & 1.... != ['L/D & 1.7e+01 & 1.6e+01 & 1.... First differing element 13: cost & 2933.499 & 3598.235 & 3589.81 & 3481.407 cost & 2933.4986133 & 3598.23480989 & 3589.81049639 & 3481.40700638 Diff is 949 characters long. Set self.maxDiff to None to see it.
Stacktrace
Traceback (most recent call last): File "/Users/jenkins/workspace/robust_PullRequest/mosek/robust/testing/t_simulation.py", line 96, in test_table_diff self.assertEqual(open(origfilename, 'r').readlines(), open(filename, 'r').readlines()) AssertionError: Lists differ: ['L/D & 1.7e+01 & 1.6e+01 & 1.... != ['L/D & 1.7e+01 & 1.6e+01 & 1.... First differing element 13: cost & 2933.499 & 3598.235 & 3589.81 & 3481.407 cost & 2933.4986133 & 3598.23480989 & 3589.81049639 & 3481.40700638 Diff is 949 characters long. Set self.maxDiff to None to see it.
Standard Output
SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.3e+03) than the previous one (3.3e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.9e+03) than the previous one (3.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.9e+03) than the previous one (3.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.9e+03) than the previous one (3.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.9e+03) than the previous one (3.9e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.5e+03) than the previous one (3.2e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.6e+03) than the previous one (3.5e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3.6e+03) than the previous one (3.6e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again. SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.