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gpkit.tests.from_paths.TestFiles.test_model_jho_py_mosek_cli (from gpkit.tests.from_paths.TestFiles-20210414170238)

Failing for the past 1 build (Since Failed #483 )
Took 2 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 "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
    solution_filename]).split(b"\n"):
  File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
    **kwargs).stdout
  File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpxf_rjpz_\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpxf_rjpz_\\gpkit_mosek.sol']' returned non-zero exit status 1001.

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

Traceback (most recent call last):
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
    k=self.k, p_idxs=self.p_idxs, **solverargs)
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
    raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible

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

Traceback (most recent call last):
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
    testfn(name, import_dict, path)(self)
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
    lambda self: getattr(self, name)()))  # pylint:disable=undefined-variable
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
    mod.test()
  File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\jho\model\jho.py", line 369, in test
    model.localsolve()
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
    result = progsolve(solver, verbosity=verbosity, **solveargs)
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
    gen_result=False, **solveargs)
  File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, 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

Starting a sequence of GP solves
 for 8 free variables
  in 6 locally-GP constraints
  and for 847 free variables
       in 2010 posynomial inequalities.
		

Standard Error

C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\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)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
  return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\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)