Failed

robust.testing.t_simulation.TestSimulation.test_table_diff (from robust.testing.t_simulation.TestSimulation-20190924154040)

Error Message

Lists differ: ['L/D & 17.0 & 16.0 & 17.0 & 1... != ['L/D & 17.0 & 16.0 & 17.0 & 1...  First differing element 11: V_{f_{fuse}} & 6.6e-10 & 2.7e-10 & 5.6e-10 & 1e-09  V_{f_{fuse}} & 1.2e-09 & 4.9e-10 & 5.3e-10 & 1e-09   Diff is 1007 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 93, in test_table_diff
    self.assertEqual(open(origfilename, 'r').readlines(), open(filename, 'r').readlines())
AssertionError: Lists differ: ['L/D & 17.0 & 16.0 & 17.0 & 1... != ['L/D & 17.0 & 16.0 & 17.0 & 1...

First differing element 11:
V_{f_{fuse}} & 6.6e-10 & 2.7e-10 & 5.6e-10 & 1e-09

V_{f_{fuse}} & 1.2e-09 & 4.9e-10 & 5.3e-10 & 1e-09


Diff is 1007 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 (2.9e+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 (3.3e+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 (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.
	

Standard Error