Passed

gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_motor_motor_test_py_mosek (from gpkit.tests.from_paths.TestFiles-20190815143329)

Took 1.3 sec.

Standard Output

Using solver 'mosek'
Solving for 11 variables.
Solving took 0.028 seconds.
Using solver 'mosek_cli'
Solving for 11 variables.
Solving took 0.084 seconds.
Using solver 'mosek'
Solving for 9 variables.
Solving took 0.019 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.019 seconds.
Using solver 'mosek'
Solving for 25 variables.
Solving took 0.02 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 0.998 seconds.
Using solver 'mosek_cli'
Solving for 9 variables.
Solving took 0.068 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.116 seconds.
Using solver 'mosek_cli'
Solving for 25 variables.
Solving took 0.128 seconds.
Beginning signomial solve.
Solving took 16 GP solves and 2.82 seconds.
Using solver 'mosek'
Solving for 13 variables.
Solving took 0.032 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 0.65 seconds.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619898.0310 but bound is 700000.0000
Using solver 'mosek_cli'
Solving for 13 variables.
Solving took 0.071 seconds.
Beginning signomial solve.
Solving took 11 GP solves and 1.81 seconds.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220953.3838 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.9776 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223878.3883 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223877.9590 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853897.1004 but bound is 1000000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860712.4314 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884891.6332 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910419.6195 but bound is 700000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
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 (4.3e+03) than the previous one (3.4e+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 (4.3e+03) than the previous one (4.3e+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 (4.3e+03) than the previous one (4.3e+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 (4.3e+03) than the previous one (3.4e+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 (4.3e+03) than the previous one (4.3e+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 (4.3e+03) than the previous one (4.3e+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.
Beginning signomial solve.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.039 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.027 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.024 seconds.
Using solver 'mosek'
Solving for 20 variables.
Solving took 0.021 seconds.
Solving took 4 GP solves and 0.121 seconds.
Beginning signomial solve.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.084 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.117 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.112 seconds.
Using solver 'mosek_cli'
Solving for 20 variables.
Solving took 0.106 seconds.
Solving took 4 GP solves and 0.436 seconds.

Standard Error

c:\anaconda2\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)