Failed
run_tests.TestSimulation_mosek_cli.test_table_diff (from run_tests.TestSimulation_mosek_cli-20200415105200)
Failing for the past 1 build
(Since Unstable
)
Error Message
Lists differ: ['L/D & 1.71e+01 & 1.66e+01 & 1.74e+01 & 1.77e+01\n'[722 chars]3\n'] != ['L/D & 1.7e+01 & 1.63e+01 & 1.71e+01 & 1.74e+01\n',[716 chars]3\n'] First differing element 0: 'L/D & 1.71e+01 & 1.66e+01 & 1.74e+01 & 1.77e+01\n' 'L/D & 1.7e+01 & 1.63e+01 & 1.71e+01 & 1.74e+01\n' Diff is 2318 characters long. Set self.maxDiff to None to see it.
Stacktrace
Traceback (most recent call last): File "C:\Users\jenkins\workspace\CE_RM_robust_Push\mosek\robust\testing\t_simulation.py", line 101, in test_table_diff self.assertEqual(open(origfilename, 'r').readlines(), open(filename, 'r').readlines()) AssertionError: Lists differ: ['L/D & 1.71e+01 & 1.66e+01 & 1.74e+01 & 1.77e+01\n'[722 chars]3\n'] != ['L/D & 1.7e+01 & 1.63e+01 & 1.71e+01 & 1.74e+01\n',[716 chars]3\n'] First differing element 0: 'L/D & 1.71e+01 & 1.66e+01 & 1.74e+01 & 1.77e+01\n' 'L/D & 1.7e+01 & 1.63e+01 & 1.71e+01 & 1.74e+01\n' Diff is 2318 characters long. Set self.maxDiff to None to see it.
Standard Output
SGP not convergent: Cost rose by 9% on GP solve 2. 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. SGP not convergent: Cost rose by 9.4% on GP solve 2. 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. SGP not convergent: Cost rose by 0.33% 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. SGP not convergent: Cost rose by 9% on GP solve 2. 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. SGP not convergent: Cost rose by 9% on GP solve 2. 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.