KeyError: (4469104952, 4725090000)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 55, in of_division
self.division_cache[key] = float(conversion)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__
raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from '1 / foot' to 'dimensionless'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_constraints.py", line 155, in test_init
self.assertRaises(ValueError, MonomialEquality, x, y)
File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 756, in assertRaises
return context.handle('assertRaises', args, kwargs)
File "/usr/local/Cellar/python/3.7.6_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/unittest/case.py", line 178, in handle
callable_obj(*args, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 519, in __init__
self.unsubbed = self._gen_unsubbed(self.left, self.right)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 539, in _gen_unsubbed
l_over_r = unsubbed(self, left, right)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 465, in _gen_unsubbed
m_c *= units.of_division(m_gt, p_lt)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 57, in of_division
raise DimensionalityError(numerator, denominator)
pint.errors.DimensionalityError: Cannot convert from 'y' to 'x [ft]'
======================================================================
ERROR: test_601 (gpkit.tests.t_model.TestGP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 94, in test_601
m.solve(solver=self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_cost_freeing (gpkit.tests.t_model.TestGP_mosek_conif)
Test freeing a variable that's in the cost.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 113, in test_cost_freeing
verbosity=0)["cost"], 2)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_mdd_example (gpkit.tests.t_model.TestGP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 182, in test_mdd_example
sol1 = m1.solve(solver=self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_sensitivities (gpkit.tests.t_model.TestGP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 171, in test_sensitivities
self.assertAlmostEqual(senss[f_oew], 0.91, 2)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/keydict.py", line 175, in __getitem__
raise KeyError(key)
KeyError: f_{oew}
======================================================================
ERROR: test_sigeq (gpkit.tests.t_model.TestGP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 65, in test_sigeq
sol = m.localsolve(solver=self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_simple_united_gp (gpkit.tests.t_model.TestGP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 135, in test_simple_united_gp
sol = prob.solve(solver=self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_singular (gpkit.tests.t_model.TestGP_mosek_conif)
Create and solve GP with a singular A matrix
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 228, in test_singular
sol = m.solve(solver=self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_zeroing (gpkit.tests.t_model.TestGP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 214, in test_zeroing
sol = Model(1/L, constr).solve(self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_initially_infeasible (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 374, in test_initially_infeasible
sol = m.localsolve(verbosity=0, solver=self.solver)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_reassigned_constant_cost (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 625, in test_reassigned_constant_cost
m.localsolve(verbosity=0, solver=self.solver)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_relaxation (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 475, in test_relaxation
m.localsolve(verbosity=0, solver=self.solver)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve
self.result = gp.generate_result(solver_out, verbosity=verbosity-3)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_small_named_signomial (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 583, in test_small_named_signomial
sol = m.localsolve(verbosity=0, solver=self.solver)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_sp_bounded (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 321, in test_sp_bounded
cost = m.localsolve(verbosity=0, solver=self.solver)["cost"]
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_sp_initial_guess_sub (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 550, in test_sp_initial_guess_sub
mutategp=False, solver=self.solver)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve
self.result = gp.generate_result(solver_out, verbosity=verbosity-3)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_sp_substitutions (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 398, in test_sp_substitutions
sol = m.solve(self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_tautological (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 422, in test_tautological
self.assertAlmostEqual(m1.solve(self.solver, verbosity=0)["cost"],
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_tautological_spconstraint (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 465, in test_tautological_spconstraint
sol = m.localsolve(self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_trivial_sp (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 450, in test_trivial_sp
sol = m.localsolve(self.solver, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_trivial_sp2 (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 523, in test_trivial_sp2
sol1 = m.localsolve(x0={x: x0, y: y0}, verbosity=0, solver=self.solver)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve
self.result = gp.generate_result(solver_out, verbosity=verbosity-3)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_unbounded_debugging (gpkit.tests.t_model.TestSP_mosek_conif)
Test nearly-dual-feasible problems
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 641, in test_unbounded_debugging
self.assertEqual(bounds["sensitive to lower bound"], set([x.key]))
KeyError: 'sensitive to lower bound'
======================================================================
ERROR: test_values_vs_subs (gpkit.tests.t_model.TestSP_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_model.py", line 352, in test_values_vs_subs
sol = m.localsolve(verbosity=0, solver=self.solver)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_autosweep_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/autosweep.py", line 14, in <module>
bst1 = autosweep_1d(m1, tol1, l, [1, 10], verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 243, in autosweep_1d
tol = recurse_splits(model, bst, sweepvar, logtol, solvekwargs, sols)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 257, in recurse_splits
x, lb, ub = get_tol(bst.costs, bst.bounds, bst.sols, variable)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 277, in get_tol
s0, s1 = [sol["sensitivities"]["variables"][variable] for sol in sols]
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tools/autosweep.py", line 277, in <listcomp>
s0, s1 = [sol["sensitivities"]["variables"][variable] for sol in sols]
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/keydict.py", line 175, in __getitem__
raise KeyError(key)
KeyError: l
======================================================================
ERROR: test_boundschecking_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/boundschecking.py", line 54, in <module>
sol = gp.solve(verbosity=0) # Errors on mosek_cli
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_debug_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/debug.py", line 22, in <module>
m3.debug()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/model.py", line 195, in debug
sol = feas.solve(**solveargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_docstringparsing_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/docstringparsing.py", line 48, in <module>
print(c.solve(verbosity=0).table())
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_external_sp2_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/external_sp2.py", line 17, in <module>
print(m.localsolve(verbosity=0, x0={x: np.pi/4}).summary())
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve
self.result = gp.generate_result(solver_out, verbosity=verbosity-3)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_external_sp_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/external_sp.py", line 17, in <module>
print(m.localsolve(verbosity=0, x0={x: np.pi/4}).summary())
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve
self.result = gp.generate_result(solver_out, verbosity=verbosity-3)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_performance_modeling_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/performance_modeling.py", line 257, in <module>
print(sol.diff("solution.pkl", showvars=vars_of_interest, sortbymodel=False))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/solution_array.py", line 396, in diff
for vk in svks.intersection(ovks)}
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/solution_array.py", line 396, in <dictcomp>
for vk in svks.intersection(ovks)}
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/keydict.py", line 175, in __getitem__
raise KeyError(key)
KeyError: Aircraft.Wing.rho
======================================================================
ERROR: test_simple_sp_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/simple_sp.py", line 14, in <module>
print(m.localsolve(verbosity=0).summary())
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR: test_simpleflight_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/simpleflight.py", line 60, in <module>
sol = m.solve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_sin_approx_example_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/sin_approx_example.py", line 17, in <module>
print(m.solve(verbosity=0).summary())
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_unbounded_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/unbounded.py", line 16, in <module>
== sol["boundedness"]["sensitive to upper bound"])
KeyError: 'sensitive to upper bound'
======================================================================
ERROR: test_vectorize_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/vectorize.py", line 18, in <module>
print(m.solve(verbosity=0).summary())
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_water_tank_mosek_cli (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 48, in of_division
return self.division_cache[key]
KeyError: (4755062864, 4737390928)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 55, in of_division
self.division_cache[key] = float(conversion)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__
raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from 'meter ** 3 / kilogram' to 'dimensionless'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 94, in test
imported[name] = importlib.import_module(name)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/water_tank.py", line 11, in <module>
bad_monomial_equality = (M == V)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 342, in __eq__
return MonomialEquality(self, other)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 519, in __init__
self.unsubbed = self._gen_unsubbed(self.left, self.right)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 539, in _gen_unsubbed
l_over_r = unsubbed(self, left, right)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 465, in _gen_unsubbed
m_c *= units.of_division(m_gt, p_lt)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 57, in of_division
raise DimensionalityError(numerator, denominator)
pint.errors.DimensionalityError: Cannot convert from 'V [mยณ]' to 'M [kg]'
======================================================================
ERROR: test_water_tank_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 48, in of_division
return self.division_cache[key]
KeyError: (4755062864, 4737390928)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 55, in of_division
self.division_cache[key] = float(conversion)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 756, in __float__
raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from 'meter ** 3 / kilogram' to 'dimensionless'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 94, in test
imported[name] = importlib.import_module(name)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/water_tank.py", line 11, in <module>
bad_monomial_equality = (M == V)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 342, in __eq__
return MonomialEquality(self, other)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 519, in __init__
self.unsubbed = self._gen_unsubbed(self.left, self.right)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 539, in _gen_unsubbed
l_over_r = unsubbed(self, left, right)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 465, in _gen_unsubbed
m_c *= units.of_division(m_gt, p_lt)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/units.py", line 57, in of_division
raise DimensionalityError(numerator, denominator)
pint.errors.DimensionalityError: Cannot convert from 'V [mยณ]' to 'M [kg]'
======================================================================
ERROR: test_x_greaterthan_1_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/importlib/__init__.py", line 169, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 630, in _exec
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/docs/source/examples/x_greaterthan_1.py", line 17, in <module>
sol = m.solve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
FAIL: test_units_sub (gpkit.tests.t_solution_array.TestSolutionArray)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/t_solution_array.py", line 76, in test_units_sub
self.assertEqual(sol(Tmin), tminsub)
AssertionError: <Quantity(4448.221615260501, 'newton')> != <Quantity(1000, 'force_pound')>
----------------------------------------------------------------------
Ran 241 tests in 23.634s
FAILED (failures=1, errors=38)
Found no installed solvers, beginning a build.
# Moving to the directory from which GPkit was imported.
Started building gpkit...
Attempting to find and build solvers:
#
# Looking for mosek_cli
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# `mskexpopt` is not in system path, let's try adding it.
# Trying to run mskexpopt...
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
# Found mosek_cli in /Users/jenkins/mosek/8/tools/platform/osx64x86/bin
#
#
# Looking for mosek_conif
# Trying to import mosek...
# Found mosek_conif in Python path
#
#
# Looking for cvxopt
# Trying to import cvxopt...
# Did not find
# cvxopt
...finished building gpkit.
Replaced found solvers (['mosek_cli', 'mosek_conif']) with environment var GPKITSOLVERS (mosek_cli, mosek_conif)
Found the following solvers: mosek_cli, mosek_conif
# Replacing directory env
Solution check warning: Dual variables associated with objective sum to 0.33331588002794466, not 1
Solution check warning: Dual variables associated with objective sum to 0.8163045025546598, not 1
Solution check warning: Dual variables associated with objective sum to 0.807, not 1
Solution check warning: Dual variables associated with objective sum to 1.7207827326098744, not 1
Solution check warning: Dual variables associated with objective sum to 0.5, not 1
Solution check warning: Dual variables associated with objective sum to 0.25000006007613396, not 1
Solution check warning: Dual variables associated with objective sum to 7.479401217150152e-07, not 1
Solution check warning: Dual variables associated with objective sum to 1.4175761046564724e-09, not 1
Solution check warning: Dual variables associated with objective sum to 4.3905593970698736e-09, not 1
Solution check warning: Dual variables associated with objective sum to 1.9999992532159818, not 1
Solution check warning: Dual variables associated with objective sum to 1.1944405449879303, not 1
Solution check warning: Dual variables associated with objective sum to 1.1111068565343467, not 1
Solution check warning: Dual variables associated with objective sum to 9.999999859526406, not 1
Solution check warning: Dual variables associated with objective sum to 29.999999231858787, not 1
Solves with these variables bounded:
sensitive to upper bound: y
Solution check warning: Dual variables associated with objective sum to 29.999999609050136, not 1
Solution check warning: Dual variables associated with objective sum to 9.999999950877045, not 1
Solution check warning: Dual variables associated with objective sum to 29.999999737099515, not 1
Solution check warning: Dual variables associated with objective sum to 5.207083370041659, not 1
++ python /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/bin/pip install --no-cache-dir -e /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/
Obtaining file:///Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek
Requirement already satisfied: numpy>=1.16.4 in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.18.1)
Collecting pint<0.10,>=0.8.1
Downloading Pint-0.9-py2.py3-none-any.whl (138 kB)
Requirement already satisfied: scipy in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.4.1)
Requirement already satisfied: ad in ./venv2_gpkit/lib/python3.7/site-packages (from gpkit==1.0.0) (1.3.2)
Collecting cvxopt>=1.1.8
Downloading cvxopt-1.2.4-cp37-cp37m-macosx_10_9_x86_64.whl (3.1 MB)
Installing collected packages: pint, cvxopt, gpkit
Attempting uninstall: pint
Found existing installation: Pint 0.11
Uninstalling Pint-0.11:
Successfully uninstalled Pint-0.11
Running setup.py develop for gpkit
Successfully installed cvxopt-1.2.4 gpkit pint-0.9
++ export MSK_IPAR_NUM_THREADS=2
++ MSK_IPAR_NUM_THREADS=2
++ export MKL_NUM_THREADS=2
++ MKL_NUM_THREADS=2
++ export NUMEXPR_NUM_THREADS=2
++ NUMEXPR_NUM_THREADS=2
++ export OPENBLAS_NUM_THREADS=2
++ OPENBLAS_NUM_THREADS=2
++ export OMP_NUM_THREADS=2
++ OMP_NUM_THREADS=2
++ python -c 'from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)'
/bin/sh: mskexpopt: command not found
No filename given.
Usage:
mskexpopt FILENAME [-primal] [-dual] [-p parameterfile]
Return code: 1052
Description: MSK_RES_ERR_FILE_OPEN [An error occurred while opening a file.]
..............................................................................................................................E...E.E.EEEE...E.....................E..EE.EEE.EEEEEFE................E...E.E.E.E.E...E.........E.E.E...E.E.E.E....Cloning into 'gplibrary'...
Obtaining file:///Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gplibrary
Installing collected packages: gpkitmodels
Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
Cloning into 'robust'...
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust==0.0.0) (from versions: none)
ERROR: No matching distribution found for gplibrary (from robust==0.0.0)
Running tests...
----------------------------------------------------------------------
Running tests...
----------------------------------------------------------------------
..........................................
----------------------------------------------------------------------
Ran 42 tests in 123.582s
OK
Generating XML reports...
.
Running tests...
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======================================================================
ERROR [0.264s]: test_linearize_two_term_posynomial (run_tests.TestLinearization_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_linearization.py", line 143, in test_linearize_two_term_posynomial
sol = m.solve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR [0.133s]: test_linearize_two_term_posynomial (run_tests.TestLinearization_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_linearization.py", line 143, in test_linearize_two_term_posynomial
sol = m.solve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR [0.085s]: test_GoalProgram (run_tests.TestPrimitives_mosek_cli)
Tests creation and solution of RobustModels with variable Gamma,
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 37, in test_GoalProgram
nominal_cost = m.localsolve(verbosity=0)['cost']
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.084s]: test_MarginModel (run_tests.TestPrimitives_mosek_cli)
Tests creation and solution of MarginModel
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 459, in internalsolve
return model.solve(verbosity=verbosity)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 625, in as_hmapslt1
raise InvalidGPConstraint("SignomialInequality could not simplify to a"
gpkit.exceptions.InvalidGPConstraint: SignomialInequality could not simplify to a PosynomialInequality; try calling `.localsolve` instead of `.solve` to form your Model as a SequentialGeometricProgram
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 20, in test_MarginModel
mm = MarginModel(m, gamma=0.5)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/model.py", line 54, in __init__
cs = self.setup(*args, **kwargs) # pylint: disable=no-member
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/margin.py", line 37, in setup
self.nominal_solve = RobustModel.internalsolve(model, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 461, in internalsolve
return model.localsolve(verbosity=verbosity)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.073s]: test_GoalProgram (run_tests.TestPrimitives_mosek_conif)
Tests creation and solution of RobustModels with variable Gamma,
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 37, in test_GoalProgram
nominal_cost = m.localsolve(verbosity=0)['cost']
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.077s]: test_MarginModel (run_tests.TestPrimitives_mosek_conif)
Tests creation and solution of MarginModel
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 459, in internalsolve
return model.solve(verbosity=verbosity)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 625, in as_hmapslt1
raise InvalidGPConstraint("SignomialInequality could not simplify to a"
gpkit.exceptions.InvalidGPConstraint: SignomialInequality could not simplify to a PosynomialInequality; try calling `.localsolve` instead of `.solve` to form your Model as a SequentialGeometricProgram
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_primitives.py", line 20, in test_MarginModel
mm = MarginModel(m, gamma=0.5)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/model.py", line 54, in __init__
cs = self.setup(*args, **kwargs) # pylint: disable=no-member
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/margin.py", line 37, in setup
self.nominal_solve = RobustModel.internalsolve(model, verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/robust.py", line 461, in internalsolve
return model.localsolve(verbosity=verbosity)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.419s]: test_simulate (run_tests.TestSimulation_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 360, in generate_model_properties
nominal_solution = model.solve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
[Previous line repeated 1 more time]
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 703, in as_hmapslt1
raise InvalidGPConstraint("SignomialEquality is not GP compatible.")
gpkit.exceptions.InvalidGPConstraint: SignomialEquality is not GP compatible.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 33, in test_simulate
simulate.generate_model_properties(model, number_of_time_average_solves, number_of_iterations)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 365, in generate_model_properties
nominal_solution = model.localsolve(verbosity=0, iteration_limit=100)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.392s]: test_table_diff (run_tests.TestSimulation_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 63, in test_table_diff
sol = m.localsolve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.480s]: test_simulate (run_tests.TestSimulation_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 360, in generate_model_properties
nominal_solution = model.solve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
[Previous line repeated 1 more time]
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/nomials/math.py", line 703, in as_hmapslt1
raise InvalidGPConstraint("SignomialEquality is not GP compatible.")
gpkit.exceptions.InvalidGPConstraint: SignomialEquality is not GP compatible.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 33, in test_simulate
simulate.generate_model_properties(model, number_of_time_average_solves, number_of_iterations)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/simulations/simulate.py", line 365, in generate_model_properties
nominal_solution = model.localsolve(verbosity=0, iteration_limit=100)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.389s]: test_table_diff (run_tests.TestSimulation_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/robust/robust/testing/t_simulation.py", line 63, in test_table_diff
sol = m.localsolve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
----------------------------------------------------------------------
Ran 42 tests in 30.598s
FAILED (errors=10)
Generating XML reports...
.
----------------------------------------------------------------------
Ran 2 tests in 155.023s
OK
Generating XML reports...
adding test for 'run_tests.py'
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.
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 0.053% 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 0.012% on GP solve 6. 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 0.45% on GP solve 3. 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 0.1% on GP solve 3. 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 0.24% on GP solve 3. 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 9.4% 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.
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.
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 0.96% on GP solve 3. 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.
Final solution let signomial constraints slacken by 0.02%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.
SGP not convergent: Cost rose by 0.86% on GP solve 3. 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.
Final solution let signomial constraints slacken by 0.029%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.
Final solution let signomial constraints slacken by 0.47%. Calling .localsolve with a higher `pccp_penalty` (it was 200 this time) will reduce final slack if the model is solvable with less. If you think it might not be, check by solving with `use_pccp=False, x0=(this model's final solution)`.
SGP not convergent: Cost rose by 0.007% on GP solve 6. 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 0.018% on GP solve 3. 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 0.0031% on GP solve 6. 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 0.44% on GP solve 3. 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 0.076% on GP solve 3. 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 0.0075% 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 9.4% 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.
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1
Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.8330415183229405, not 1
Solution check warning: Dual variables associated with objective sum to 0.8317120645744842, not 1
Solution check warning: Dual variables associated with objective sum to 0.7992027556874821, not 1
Solution check warning: Dual variables associated with objective sum to 0.7981982254463402, not 1
Solution check warning: Dual variables associated with objective sum to 0.807975749579114, not 1
Solution check warning: Dual variables associated with objective sum to 0.8070727246915292, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1
Solution check warning: Dual variables associated with objective sum to 0.8146063848814962, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1
Solution check warning: Dual variables associated with objective sum to 0.7248893606324388, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1
Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1
Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1
Solution check warning: Dual variables associated with objective sum to 0.13376000953337008, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.8330415183229405, not 1
Solution check warning: Dual variables associated with objective sum to 0.8317120645744842, not 1
Solution check warning: Dual variables associated with objective sum to 0.7992027556874821, not 1
Solution check warning: Dual variables associated with objective sum to 0.7981982254463402, not 1
Solution check warning: Dual variables associated with objective sum to 0.807975749579114, not 1
Solution check warning: Dual variables associated with objective sum to 0.8070727246915292, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1
Solution check warning: Dual variables associated with objective sum to 0.8146063848814962, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246665595339, not 1
Solution check warning: Dual variables associated with objective sum to 0.7248893606324388, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.7409601606400995, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1
Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.8569436960587871, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227047970513, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165101458833, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227235597721, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528358134662, not 1
Solution check warning: Dual variables associated with objective sum to 0.830044709528694, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8378772813836624, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159217057974, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.5888716171244383, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.46064015506063943, not 1
Solution check warning: Dual variables associated with objective sum to 0.46062793296218707, not 1
Solution check warning: Dual variables associated with objective sum to 0.46064015506063943, not 1
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.
Solution check warning: Dual variables associated with objective sum to 0.8835303897706718, not 1
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.
Solution check warning: Dual variables associated with objective sum to 0.8858994802160995, not 1
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.
Solution check warning: Dual variables associated with objective sum to 0.8848475564723571, not 1
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.
Solution check warning: Dual variables associated with objective sum to 0.8877046077948912, not 1
Cloning into 'shopping'...
Running tests...
----------------------------------------------------------------------
...
----------------------------------------------------------------------
Ran 3 tests in 0.365s
OK
Generating XML reports...
adding test for 'test.py'
Using solver 'mosek_cli'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.0591 seconds.
Using solver 'mosek_cli'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.057 seconds.
Using solver 'mosek_conif'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.0257 seconds.
Solution check warning: Dual variables associated with objective sum to 0.34453608687854365, not 1
Cloning into 'gassolar'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-o9t6p5cp
Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-o9t6p5cp
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=8f945c0aeaee04dbbe69e87e8cd618b86eece7d3eadb02e891c5f2b476b04c58
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ecasjv35/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gassolar
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (1.0.1)
Requirement already satisfied: gpfit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas->gassolar==0.0.0.0) (1.14.0)
Building wheels for collected packages: gassolar
Building wheel for gassolar (setup.py): started
Building wheel for gassolar (setup.py): finished with status 'done'
Created wheel for gassolar: filename=gassolar-0.0.0.0-py3-none-any.whl size=4876521 sha256=9dbf31493480026eb6c9b3e4f82b43ad30c7a92d67dbceef7048158654938be0
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-c2kw939q/wheels/75/4b/9c/55e026860e0f74bd7d4510104c5d7ba848b3e850250bb6be0e
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0
Running tests...
----------------------------------------------------------------------
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E
======================================================================
ERROR [2.822s]: test_gassolar_gas_gas_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gassolar/gassolar/gas/gas.py", line 208, in test
model.localsolve()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [9.755s]: test_gassolar_solar_solar_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gassolar/gassolar/solar/solar.py", line 371, in test
m.localsolve()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
----------------------------------------------------------------------
Ran 4 tests in 23.337s
FAILED (errors=2)
Generating XML reports...
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'
Using solver 'mosek_cli'
for 592 free variables
in 918 posynomial inequalities.
Solving took 0.143 seconds.
Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Starting a sequence of GP solves
for 5 free variables
in 2 signomial constraints
and for 600 free variables
in 926 posynomial inequalities.
Solving took 0.687 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek_conif'
for 592 free variables
in 918 posynomial inequalities.
Solving took 0.145 seconds.
Solution check warning: Dual variables associated with objective sum to 0.08821807490900531, not 1
Warning: Variable Mission.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission.Climb.FlightSegment.Aircraf could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Starting a sequence of GP solves
for 5 free variables
in 2 signomial constraints
and for 600 free variables
in 926 posynomial inequalities.
Solution check warning: Dual variables associated with objective sum to 0.020966011729067126, not 1
Solving took 0.715 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.FlightSegment.AircraftPerf.EnginePerf.P_{total}[:]/Mission1.Climb.FlightSegment.Aircr could cause inaccurate result because it is above upper bound. Solution is 1.0000 but bound is 0.9685
Using solver 'mosek_cli'
for 1250 free variables
in 1872 posynomial inequalities.
Solving took 0.403 seconds.
Warning: Variable Mission2.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Warning: Variable Mission2.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 102558.6388 but bound is 150000.0000
Starting a sequence of GP solves
for 25 free variables
in 12 signomial constraints
and for 1298 free variables
in 1930 posynomial inequalities.
Solving took 2.12 seconds and 4 GP solves.
Warning: Variable Mission3.FlightSegment.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103379.2971 but bound is 150000.0000
Warning: Variable Mission3.FlightSegment10.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 103406.1793 but bound is 150000.0000
Using solver 'mosek_conif'
for 1250 free variables
in 1872 posynomial inequalities.
Solving took 0.674 seconds.
Solution check warning: Dual variables associated with objective sum to 3.134849828356275, not 1
Starting a sequence of GP solves
for 25 free variables
in 12 signomial constraints
and for 1298 free variables
in 1930 posynomial inequalities.
Solution check warning: Dual variables associated with objective sum to 0.060188320157866626, not 1
Solving took 4.32 seconds and 4 GP solves.
Cloning into 'jho'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-6x3ng8n0
Running command git clone -q https://github.com/hoburg/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-6x3ng8n0
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=0f992973471b8d08004cfcea1175a16e5e94cffdf9e7f4a56895d1bf4984b3df
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-ghx4eh62/wheels/57/29/3e/8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
Running tests...
----------------------------------------------------------------------
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E
======================================================================
ERROR [2.815s]: test_model_jho_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/jho/model/jho.py", line 369, in test
model.localsolve()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [2.738s]: test_model_print_perf_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/jho/model/print_perf.py", line 195, in test
jho_subs(M)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/jho/model/print_perf.py", line 43, in jho_subs
sol = model.localsolve(verbosity=0)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
----------------------------------------------------------------------
Ran 4 tests in 18.589s
FAILED (errors=2)
Generating XML reports...
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'
Starting a sequence of GP solves
for 5 free variables
in 6 signomial constraints
and for 847 free variables
in 2010 posynomial inequalities.
Solving took 1.56 seconds and 4 GP solves.
Starting a sequence of GP solves
for 5 free variables
in 6 signomial constraints
and for 847 free variables
in 2010 posynomial inequalities.
Solution check warning: Dual variables associated with objective sum to 0.01763551022941128, not 1
Solving took 1.49 seconds and 4 GP solves.
MTOW [lbs] = 141.77
Zero fuel weight [lbs] = 53.80
Wing span [ft] = 24.00
Aicraft length [ft] = 12.90
Aspect ratio = 25.60
mean aerodynamic chord [ft] = 0.9722
root chord [ft] = 1.250
speed for best rate of climb [m/s]: Vy = 21.829
speed at top of climb [m/s] = 26.622
design loiter speed [m/s] = 25.070
rotation speed at 55 lbs [m/s] = 18.185
rotation speed at 150 lbs [m/s] = 28.236
optimum loiter speed for min power, start of loiter [m/s] = 25.279
optimum loiter speed for min power, end of loiter [m/s] = 17.233
optimum cruise speed, inbound [m/s] = 25.637
optimum cruise speed, outbound [m/s] = 36.269
Starting a sequence of GP solves
for 5 free variables
in 6 signomial constraints
and for 827 free variables
in 1995 posynomial inequalities.
Solving took 1.53 seconds and 4 GP solves.
Max Speed [m/s]: 74.76
Starting a sequence of GP solves
for 5 free variables
in 6 signomial constraints
and for 828 free variables
in 1995 posynomial inequalities.
Solving took 1.04 seconds and 4 GP solves.
Max payload weight [lbf] = 28.083
Max take off weight [lbf] = 166.418
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Cloning into 'turbofan'...
Processing /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/turbofan
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from turbofan==0.0.0.0) (0.9)
Processing /Users/jenkins/Library/Caches/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0/future-0.18.2-py3-none-any.whl
Building wheels for collected packages: turbofan
Building wheel for turbofan (setup.py): started
Building wheel for turbofan (setup.py): finished with status 'done'
Created wheel for turbofan: filename=turbofan-0.0.0.0-py3-none-any.whl size=43842 sha256=bc1bbc583580d54b1db36d73ffbc7d32ac3de13381ee3f9055a355177536b7b8
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-eto3zn2_/wheels/4d/03/98/f79de28f80c623b90d210bc9f17a04f6f763e27fc06147f60c
Successfully built turbofan
Installing collected packages: future, turbofan
Successfully installed future-0.18.2 turbofan-0.0.0.0
Running tests...
----------------------------------------------------------------------
E
======================================================================
ERROR [1.073s]: test_turbofan_engine_test_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/turbofan/turbofan/engine_test.py", line 5, in test
engine_validation.test()
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/turbofan/engine_validation.py", line 736, in test
sol = m.localsolve(verbosity = 2)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
----------------------------------------------------------------------
Ran 1 test in 1.073s
FAILED (errors=1)
Generating XML reports...
adding test for 'turbofan/engine_test.py'
Starting a sequence of GP solves
for 27 free variables
in 14 signomial constraints
and for 244 free variables
in 492 posynomial inequalities.
GP Solve 1
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.128 seconds.
Solved cost was 7.929e+13.
GP Solve 2
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0291 seconds.
Solved cost was 30.99.
GP Solve 3
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0281 seconds.
Solved cost was 10.15.
GP Solve 4
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0313 seconds.
Solved cost was 7.827.
GP Solve 5
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0273 seconds.
Solved cost was 7.281.
GP Solve 6
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0298 seconds.
Solved cost was 7.108.
GP Solve 7
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0321 seconds.
Solved cost was 7.029.
GP Solve 8
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0283 seconds.
Solved cost was 6.991.
GP Solve 9
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0317 seconds.
Solved cost was 6.973.
GP Solve 10
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0331 seconds.
Solved cost was 6.965.
GP Solve 11
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0297 seconds.
Solved cost was 6.96.
GP Solve 12
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0308 seconds.
Solved cost was 6.958.
GP Solve 13
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0331 seconds.
Solved cost was 6.957.
Solution check warning: Dual variables associated with objective sum to 2.084224448006762, not 1
Solving took 0.755 seconds and 13 GP solves.
Cloning into 'solar'...
Requirement already satisfied: pandas in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (1.0.1)
Requirement already satisfied: pytz>=2017.2 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.6.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.13.3 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from pandas) (1.18.1)
Requirement already satisfied: six>=1.5 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.14.0)
Collecting git+https://github.com/convexengineering/gpfit.git
Cloning https://github.com/convexengineering/gpfit.git to /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-kkvewjj4
Running command git clone -q https://github.com/convexengineering/gpfit.git /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-req-build-kkvewjj4
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages
Requirement already satisfied: numpy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages (from gpkit->gpfit==0.1) (1.2.4)
Building wheels for collected packages: gpfit
Building wheel for gpfit (setup.py): started
Building wheel for gpfit (setup.py): finished with status 'done'
Created wheel for gpfit: filename=gpfit-0.1-py3-none-any.whl size=25375 sha256=7d3151f2f8b0de1196fc28931aedd1cbcb7434e2cb8aa0e34be2dd9da5f08ed5
Stored in directory: /private/var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/pip-ephem-wheel-cache-rctqwpnn/wheels/68/65/b3/0afb13c0a818424d0e07427d1c5a4312849fc7491f18bd34a0
Successfully built gpfit
Build was aborted
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/JenkinsGPkit/gpkit_PR_research_models.sh: line 24: 80797 Terminated: 15 python -c "from gpkit.tests.test_repo import test_repos; test_repos(xmloutput=True)"
Recording test results
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: ABORTED
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