Passed

gpkit.tests.from_paths.TestFiles.test_gassolar_gas_gas_py_mosek (from gpkit.tests.from_paths.TestFiles-20180110084122)

Took 12 sec.

Standard Output

Using solver 'mosek'
Solving for 593 variables.
Solving took 0.174 seconds.
Warning: Variable P_{ref}_Mission/Aircraft/Engine**-1*P_{sl-max}_Mission/Aircraft/Engine could cause inaccurate result because it is below lower bound. Solution is 0.2090 but bound is 0.2955
Warning: Variable [P_{shaft-max}_Mission/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total}_Mission/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Beginning signomial solve.
Solving took 4 GP solves and 1.81 seconds.
Warning: Variable P_{ref}_Mission.1/Aircraft.1/Engine.1**-1*P_{sl-max}_Mission.1/Aircraft.1/Engine.1 could cause inaccurate result because it is below lower bound. Solution is 0.2115 but bound is 0.2955
Warning: Variable [P_{shaft-max}_Mission.1/Climb.1/FlightSegment.2/AircraftPerf.2/EnginePerf.2_(0,)**-1*P_{total}_Miss could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek'
Solving for 593 variables.
Solving took 0.139 seconds.
Warning: Variable P_{ref}_Mission/Aircraft/Engine**-1*P_{sl-max}_Mission/Aircraft/Engine could cause inaccurate result because it is below lower bound. Solution is 0.2090 but bound is 0.2955
Warning: Variable [P_{shaft-max}_Mission/Climb/FlightSegment/AircraftPerf/EnginePerf_(0,)**-1*P_{total}_Mission/Climb/ could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Beginning signomial solve.
Solving took 4 GP solves and 1.61 seconds.
Warning: Variable P_{ref}_Mission.1/Aircraft.1/Engine.1**-1*P_{sl-max}_Mission.1/Aircraft.1/Engine.1 could cause inaccurate result because it is below lower bound. Solution is 0.2115 but bound is 0.2955
Warning: Variable [P_{shaft-max}_Mission.1/Climb.1/FlightSegment.2/AircraftPerf.2/EnginePerf.2_(0,)**-1*P_{total}_Miss could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek'
Solving for 1206 variables.
Solving took 0.466 seconds.
Allowing negative dual variable(s) as small as -1.483064889628248e-13.
Warning: Variable Re_Mission/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 97517.0234 but bound is 150000.0000
Warning: Variable Re_Mission/FlightSegment.10/AircraftPerf.10/WingAero.10 could cause inaccurate result because it is below lower bound. Solution is 97518.5695 but bound is 150000.0000
1 is a constraining latitude
2 is a constraining latitude
3 is a constraining latitude
4 is a constraining latitude
5 is a constraining latitude
6 is a constraining latitude
7 is a constraining latitude
8 is a constraining latitude
9 is a constraining latitude
10 is a constraining latitude
11 is a constraining latitude
Beginning signomial solve.
Allowing negative dual variable(s) as small as -2.5660200076043483e-13.
Allowing negative dual variable(s) as small as -1.9703481735081279e-13.
Allowing negative dual variable(s) as small as -1.4350685801053013e-13.
Allowing negative dual variable(s) as small as -1.8433608431961135e-13.
Solving took 4 GP solves and 5.85 seconds.
Warning: Variable Re_Mission.1/FlightSegment.11/AircraftPerf.11/WingAero.11 could cause inaccurate result because it is below lower bound. Solution is 98164.7682 but bound is 150000.0000
Warning: Variable Re_Mission.1/FlightSegment.21/AircraftPerf.21/WingAero.21 could cause inaccurate result because it is below lower bound. Solution is 98166.2655 but bound is 150000.0000
1 is a constraining latitude
2 is a constraining latitude
3 is a constraining latitude
4 is a constraining latitude
5 is a constraining latitude
6 is a constraining latitude
7 is a constraining latitude
8 is a constraining latitude
9 is a constraining latitude
10 is a constraining latitude
11 is a constraining latitude
Using solver 'mosek_cli'
Solving for 1206 variables.
Solving took 0.559 seconds.
Allowing negative dual variable(s) as small as -1.555302e-13.
Warning: Variable Re_Mission/FlightSegment/AircraftPerf/WingAero could cause inaccurate result because it is below lower bound. Solution is 97516.8049 but bound is 150000.0000
Warning: Variable Re_Mission/FlightSegment.10/AircraftPerf.10/WingAero.10 could cause inaccurate result because it is below lower bound. Solution is 97518.7552 but bound is 150000.0000
1 is a constraining latitude
2 is a constraining latitude
3 is a constraining latitude
4 is a constraining latitude
5 is a constraining latitude
6 is a constraining latitude
7 is a constraining latitude
8 is a constraining latitude
9 is a constraining latitude
10 is a constraining latitude
11 is a constraining latitude
Beginning signomial solve.
Allowing negative dual variable(s) as small as -2.56602e-13.
Allowing negative dual variable(s) as small as -1.926027e-13.
Allowing negative dual variable(s) as small as -1.507557e-13.
Allowing negative dual variable(s) as small as -2.021092e-13.
Solving took 4 GP solves and 5.52 seconds.
Warning: Variable Re_Mission.1/FlightSegment.11/AircraftPerf.11/WingAero.11 could cause inaccurate result because it is below lower bound. Solution is 98164.5077 but bound is 150000.0000
Warning: Variable Re_Mission.1/FlightSegment.21/AircraftPerf.21/WingAero.21 could cause inaccurate result because it is below lower bound. Solution is 98166.4710 but bound is 150000.0000
1 is a constraining latitude
2 is a constraining latitude
3 is a constraining latitude
4 is a constraining latitude
5 is a constraining latitude
6 is a constraining latitude
7 is a constraining latitude
8 is a constraining latitude
9 is a constraining latitude
10 is a constraining latitude
11 is a constraining latitude

Standard Error

/Users/jenkins/workspace/gpkit_ResearchModel_gassolar_PR/buildnode/macys_Sierra/optimizer/mosek/venv2_gpkit/lib/python2.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/gpkit_ResearchModel_gassolar_PR/buildnode/macys_Sierra/optimizer/mosek/venv2_gpkit/lib/python2.7/site-packages/gpfit/ba_init.py:79: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
  b[:, k] = lstsq(X[inds.nonzero()], y[inds.nonzero()])[0][:, 0]
/Users/jenkins/workspace/gpkit_ResearchModel_gassolar_PR/buildnode/macys_Sierra/optimizer/mosek/venv2_gpkit/lib/python2.7/site-packages/gpfit/levenberg_marquardt.py:139: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
  step = np.linalg.lstsq(augJ, augr)[0]