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gpkit.tests.from_paths.TestFiles.test_gpkitmodels_GP_aircraft_wing_wing_test_py_cvxopt (from gpkit.tests.from_paths.TestFiles-20210624180647)

Failing for the past 1 build (Since Failed #490 )
Took 1.9 sec.

Error Message

Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.

Stacktrace

Traceback (most recent call last):
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/constraints/gp.py", line 207, in solve
    k=self.k, p_idxs=self.p_idxs, **solverargs)
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/solvers/cvxopt.py", line 85, in optimize
    raise UnknownInfeasible("solution status " + repr(solution["status"]))
gpkit.exceptions.UnknownInfeasible: solution status 'unknown'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/tests/helpers.py", line 55, in test
    testfn(name, import_dict, path)(self)
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/tests/from_paths.py", line 48, in <lambda>
    lambda self: getattr(self, name)()))  # pylint:disable=undefined-variable
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/tests/from_paths.py", line 37, in test_fn
    mod.test()
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gplibrary/gpkitmodels/GP/aircraft/wing/wing_test.py", line 83, in test
    box_spar()
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gplibrary/gpkitmodels/GP/aircraft/wing/wing_test.py", line 78, in box_spar
    m.solve(verbosity=0)
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/constraints/prog_factories.py", line 131, in solvefn
    result = progsolve(solver, verbosity=verbosity, **kwargs)
  File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/constraints/gp.py", line 244, in solve
    raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.

Standard Output

Using solver 'cvxopt'
 for 11 free variables
  in 14 posynomial inequalities.
Solving took 0.0457 seconds.
Using solver 'cvxopt'
 for 9 free variables
  in 15 posynomial inequalities.
Solving took 0.00993 seconds.
Using solver 'cvxopt'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0188 seconds.
Using solver 'cvxopt'
 for 25 free variables
  in 35 posynomial inequalities.
Solving took 0.0166 seconds.
Starting a sequence of GP solves
 for 53 free variables
  in 11 locally-GP constraints
  and for 129 free variables
       in 211 posynomial inequalities.
Solving took 3.42 seconds and 16 GP solves.
Using solver 'cvxopt'
 for 13 free variables
  in 16 posynomial inequalities.
Solving took 0.00955 seconds.
Starting a sequence of GP solves
 for 53 free variables
  in 11 locally-GP constraints
  and for 117 free variables
       in 190 posynomial inequalities.
Solving took 2.02 seconds and 11 GP solves.
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 1619890.9325 but bound is 700000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220952.3405 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499787.5667 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223840.1738 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223840.1106 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1849726.5701 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1849726.5566 but bound is 1000000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 2197590.3832 but bound is 700000.0000
Starting a sequence of GP solves
 for 4 free variables
  in 1 locally-GP constraints
  and for 21 free variables
       in 22 posynomial inequalities.

GP Solve 1
Using solver 'cvxopt'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0131 seconds.
Solved cost was 5717.

GP Solve 2
Using solver 'cvxopt'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0125 seconds.
Solved cost was 4538.

GP Solve 3
Using solver 'cvxopt'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0123 seconds.
Solved cost was 4536.

GP Solve 4
Using solver 'cvxopt'
 for 21 free variables
  in 22 posynomial inequalities.
Solving took 0.0123 seconds.
Solved cost was 4536.

Solving took 0.0541 seconds and 4 GP solves.

Standard Error

/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
  warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/cvxopt/gpkit/constraints/sgp.py:179: UserWarning: SGP not convergent: Cost rose by 6.1% (1588.62 to 1685.18) on GP solve 2. Details can be found in `m.program.results` or by solving at a higher verbosity. Note convergence is not guaranteed for models with SignomialEqualities.
  % (100*(cost - prevcost)/prevcost, prevcost, cost, len(self.gps)))