result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/external_sp2.py", line 17, in <module>
print(m.localsolve(verbosity=0, x0={x: np.pi/4}).summary())
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve
self.result = gp.generate_result(solver_out, verbosity=verbosity-3)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/external_sp.py", line 17, in <module>
print(m.localsolve(verbosity=0, x0={x: np.pi/4}).summary())
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 205, in localsolve
self.result = gp.generate_result(solver_out, verbosity=verbosity-3)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/performance_modeling.py", line 257, in <module>
print(sol.diff("solution.pkl", showvars=vars_of_interest, sortbymodel=False))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/solution_array.py", line 396, in diff
for vk in svks.intersection(ovks)}
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/solution_array.py", line 396, in <dictcomp>
for vk in svks.intersection(ovks)}
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/simple_sp.py", line 14, in <module>
print(m.localsolve(verbosity=0).summary())
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/simpleflight.py", line 60, in <module>
sol = m.solve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/sin_approx_example.py", line 17, in <module>
print(m.solve(verbosity=0).summary())
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/vectorize.py", line 18, in <module>
print(m.solve(verbosity=0).summary())
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
Cloning into 'gplibrary'...
Obtaining file:///jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary
Installing collected packages: gpkitmodels
Running setup.py develop for gpkitmodels
Successfully installed gpkitmodels
Cloning into 'robust'...
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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)
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.
Final solution let signomial constraints slacken by 0.019%. 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 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.
Final solution let signomial constraints slacken by 0.35%. 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 0.063% 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 0.031%. 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 0.099% 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 0.091% 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 0.013% 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 0.1337599639913826, not 1
Solution check warning: Dual variables associated with objective sum to 0.1337599639913826, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, not 1
Solution check warning: Dual variables associated with objective sum to 0.8330415201564609, not 1
Solution check warning: Dual variables associated with objective sum to 0.8317120628200761, not 1
Solution check warning: Dual variables associated with objective sum to 0.799202749250931, not 1
Solution check warning: Dual variables associated with objective sum to 0.7981982254200097, not 1
Solution check warning: Dual variables associated with objective sum to 0.8079758386216233, not 1
Solution check warning: Dual variables associated with objective sum to 0.8070726400879964, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246407107052, not 1
Solution check warning: Dual variables associated with objective sum to 0.8146063798243846, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246407107052, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246407107052, not 1
Solution check warning: Dual variables associated with objective sum to 0.7248859154503805, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, 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 0.4606283609246332, 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 0.8569436862554927, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227446475318, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165198254926, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227377304171, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528308481578, not 1
Solution check warning: Dual variables associated with objective sum to 0.8300447104470864, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.837877284246719, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, 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 0.8569436862554927, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227446475318, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165198254926, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227377304171, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528308481578, not 1
Solution check warning: Dual variables associated with objective sum to 0.8300447104470864, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.837877284246719, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, 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 0.1337599639913826, not 1
Solution check warning: Dual variables associated with objective sum to 0.1337599639913826, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, not 1
Solution check warning: Dual variables associated with objective sum to 0.8330415201564609, not 1
Solution check warning: Dual variables associated with objective sum to 0.8317120628200761, not 1
Solution check warning: Dual variables associated with objective sum to 0.799202749250931, not 1
Solution check warning: Dual variables associated with objective sum to 0.7981982254200097, not 1
Solution check warning: Dual variables associated with objective sum to 0.8079758386216233, not 1
Solution check warning: Dual variables associated with objective sum to 0.8070726400879964, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246407107052, not 1
Solution check warning: Dual variables associated with objective sum to 0.8146063798243846, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246407107052, not 1
Solution check warning: Dual variables associated with objective sum to 0.8154246407107052, not 1
Solution check warning: Dual variables associated with objective sum to 0.7248859154503805, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, 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 0.4606283609246332, 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 0.8569436862554927, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227446475318, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165198254926, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227377304171, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528308481578, not 1
Solution check warning: Dual variables associated with objective sum to 0.8300447104470864, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.837877284246719, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, 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 0.8569436862554927, not 1
Solution check warning: Dual variables associated with objective sum to 0.8559227446475318, not 1
Solution check warning: Dual variables associated with objective sum to 0.8216165198254926, not 1
Solution check warning: Dual variables associated with objective sum to 0.8208227377304171, not 1
Solution check warning: Dual variables associated with objective sum to 0.8307528308481578, not 1
Solution check warning: Dual variables associated with objective sum to 0.8300447104470864, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.837877284246719, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, not 1
Solution check warning: Dual variables associated with objective sum to 0.8385159164100329, 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
Running tests...
----------------------------------------------------------------------
Running tests...
----------------------------------------------------------------------
..........................................
----------------------------------------------------------------------
Ran 42 tests in 155.962s
OK
Generating XML reports...
.
Running tests...
----------------------------------------------------------------------
...........E.....E..EE..EE............EEEE
======================================================================
ERROR [0.168s]: test_linearize_two_term_posynomial (run_tests.TestLinearization_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_linearization.py", line 143, in test_linearize_two_term_posynomial
sol = m.solve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR [0.032s]: test_linearize_two_term_posynomial (run_tests.TestLinearization_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_linearization.py", line 143, in test_linearize_two_term_posynomial
sol = m.solve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR [0.116s]: test_GoalProgram (run_tests.TestPrimitives_mosek_cli)
Tests creation and solution of RobustModels with variable Gamma,
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_primitives.py", line 37, in test_GoalProgram
nominal_cost = m.localsolve(verbosity=0)['cost']
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.102s]: test_MarginModel (run_tests.TestPrimitives_mosek_cli)
Tests creation and solution of MarginModel
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/robust.py", line 459, in internalsolve
return model.solve(verbosity=verbosity)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_primitives.py", line 20, in test_MarginModel
mm = MarginModel(m, gamma=0.5)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/model.py", line 54, in __init__
cs = self.setup(*args, **kwargs) # pylint: disable=no-member
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/margin.py", line 37, in setup
self.nominal_solve = RobustModel.internalsolve(model, verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/robust.py", line 461, in internalsolve
return model.localsolve(verbosity=verbosity)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.138s]: test_GoalProgram (run_tests.TestPrimitives_mosek_conif)
Tests creation and solution of RobustModels with variable Gamma,
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_primitives.py", line 37, in test_GoalProgram
nominal_cost = m.localsolve(verbosity=0)['cost']
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.092s]: test_MarginModel (run_tests.TestPrimitives_mosek_conif)
Tests creation and solution of MarginModel
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/robust.py", line 459, in internalsolve
return model.solve(verbosity=verbosity)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_primitives.py", line 20, in test_MarginModel
mm = MarginModel(m, gamma=0.5)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/model.py", line 54, in __init__
cs = self.setup(*args, **kwargs) # pylint: disable=no-member
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/margin.py", line 37, in setup
self.nominal_solve = RobustModel.internalsolve(model, verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/robust.py", line 461, in internalsolve
return model.localsolve(verbosity=verbosity)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.525s]: test_simulate (run_tests.TestSimulation_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/simulations/simulate.py", line 360, in generate_model_properties
nominal_solution = model.solve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/simulations/simulate.py", line 365, in generate_model_properties
nominal_solution = model.localsolve(verbosity=0, iteration_limit=100)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.568s]: test_table_diff (run_tests.TestSimulation_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_simulation.py", line 63, in test_table_diff
sol = m.localsolve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.629s]: test_simulate (run_tests.TestSimulation_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/simulations/simulate.py", line 360, in generate_model_properties
nominal_solution = model.solve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 125, in solvefn
self.program, progsolve = genfunction(self, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 81, in programfn
prog = program(self.cost, self, constants, **initargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 94, in __init__
self.hmaps = [cost_hmap] + list(self.as_hmapslt1(self.substitutions))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in as_hmapslt1
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/set.py", line 163, in <genexpr>
for l in self.flat(yield_if_hasattr="as_hmapslt1")))
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/simulations/simulate.py", line 365, in generate_model_properties
nominal_solution = model.localsolve(verbosity=0, iteration_limit=100)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.467s]: test_table_diff (run_tests.TestSimulation_mosek_conif)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/robust/robust/testing/t_simulation.py", line 63, in test_table_diff
sol = m.localsolve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 21.840s
FAILED (errors=10)
Generating XML reports...
.
----------------------------------------------------------------------
Ran 2 tests in 178.242s
OK
Generating XML reports...
Solution check warning: Dual variables associated with objective sum to 0.539548837722167, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606232523508556, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606283609246332, not 1
Solution check warning: Dual variables associated with objective sum to 0.4606232523508556, 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 0.8910849822359524, 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 0.8824049702721775, 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 0.8853394968801647, 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 0.8843326688611012, not 1
Cloning into 'shopping'...
Running tests...
----------------------------------------------------------------------
...
----------------------------------------------------------------------
Ran 3 tests in 0.380s
OK
Generating XML reports...
adding test for 'test.py'
Using solver 'mosek_cli'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.112 seconds.
Using solver 'mosek_cli'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.0869 seconds.
Using solver 'mosek_conif'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.0336 seconds.
Solution check warning: Dual variables associated with objective sum to 0.3445071165191612, not 1
Cloning into 'gassolar'...
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-dj63e4e3
Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-dj63e4e3
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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=e898cc24e6f25c801383f523626941f95e12791fba178c05ca50aca630eda0fe
Stored in directory: /tmp/pip-ephem-wheel-cache-mxo4fw8_/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gassolar
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2019.3)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->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=57b99adf8e1994ce5effcaac3d50be98ede1efb6f7ba658834bcc2d47285ec32
Stored in directory: /tmp/pip-ephem-wheel-cache-2thdsh6t/wheels/4a/f6/b3/8e03e3edbf6f5d28608c472583a38096ae09ac9565473f47e9
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0
Running tests...
----------------------------------------------------------------------
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E
======================================================================
ERROR [2.751s]: test_gassolar_gas_gas_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gassolar/gassolar/gas/gas.py", line 208, in test
model.localsolve()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [8.876s]: test_gassolar_solar_solar_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gassolar/gassolar/solar/solar.py", line 371, in test
m.localsolve()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 21.714s
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 0.244 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 0.99 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 0.239 seconds.
Solution check warning: Dual variables associated with objective sum to 0.08821821807988846, 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 0.020965999845703118, not 1
Solving took 0.756 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 0.42 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 2.02 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 0.535 seconds.
Solution check warning: Dual variables associated with objective sum to 3.134743316019413, not 1
Warning: Variable Mission.FlightSegment5.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99010.5537 but bound is 150000.0000
Warning: Variable Mission.FlightSegment8.AircraftPerf.WingAero.Re could cause inaccurate result because it is below lower bound. Solution is 99138.9798 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.
Solution check warning: Dual variables associated with objective sum to 0.06018822802776438, not 1
Solving took 3.83 seconds and 4 GP solves.
Cloning into 'jho'...
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-60uoyj4x
Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-60uoyj4x
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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=a0a247e41f3c4f0bc0de7a1180fb36813eb9484d2a6400e8aead2397ae0c6cee
Stored in directory: /tmp/pip-ephem-wheel-cache-ntlu75k6/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734
Successfully built gpfit
Running tests...
----------------------------------------------------------------------
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.E/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E
======================================================================
ERROR [2.133s]: test_model_jho_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 201, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/solvers/mosek_conif.py", line 214, in optimize
raise UnknownInfeasible("solution status: ", msk_solsta)
gpkit.exceptions.UnknownInfeasible: ('solution status: ', unknown)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/jho/model/jho.py", line 369, in test
model.localsolve()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 184, in localsolve
gen_result=False, **solveargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 230, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: The solver failed for an unknown reason. Running `.debug()` may pinpoint the trouble. You can also try another solver, or increase the verbosity.
======================================================================
ERROR [2.668s]: test_model_print_perf_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/jho/model/print_perf.py", line 195, in test
jho_subs(M)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/jho/model/print_perf.py", line 43, in jho_subs
sol = model.localsolve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 20.043s
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 1.82 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.
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 2.36 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 1.23 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 /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/turbofan
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from turbofan==0.0.0.0) (0.9)
Processing /home/jenkins/.cache/pip/wheels/c4/f0/ae/d4689c4532d1f111462ed6a884a7767d502e511ee65f0d8e1b/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=2ad010deede3070b087a8dd35d236c276858d15e964f7a6334cf79229dcf6bb6
Stored in directory: /tmp/pip-ephem-wheel-cache-gsz_507s/wheels/01/1a/ce/e04bd07c025725d0ce16795af296f318dddb7944ac26ee85e0
Successfully built turbofan
Installing collected packages: future, turbofan
Successfully installed future-0.18.2 turbofan-0.0.0.0
Running tests...
----------------------------------------------------------------------
E
======================================================================
ERROR [1.425s]: test_turbofan_engine_test_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/turbofan/turbofan/engine_test.py", line 5, in test
engine_validation.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/turbofan/engine_validation.py", line 736, in test
sol = m.localsolve(verbosity = 2)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/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 1.425s
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 0.0826 seconds.
Solved cost was 7.929e+13.
GP Solve 2
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0425 seconds.
Solved cost was 31.06.
GP Solve 3
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0385 seconds.
Solved cost was 10.15.
GP Solve 4
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0532 seconds.
Solved cost was 7.827.
GP Solve 5
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0559 seconds.
Solved cost was 7.281.
GP Solve 6
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0455 seconds.
Solved cost was 7.108.
GP Solve 7
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0722 seconds.
Solved cost was 7.029.
GP Solve 8
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0506 seconds.
Solved cost was 6.991.
GP Solve 9
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0904 seconds.
Solved cost was 6.973.
GP Solve 10
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0564 seconds.
Solved cost was 6.965.
GP Solve 11
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0476 seconds.
Solved cost was 6.96.
GP Solve 12
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0347 seconds.
Solved cost was 6.958.
GP Solve 13
Using solver 'mosek_conif'
for 244 free variables
in 492 posynomial inequalities.
Solving took 0.0491 seconds.
Solved cost was 6.957.
Solution check warning: Dual variables associated with objective sum to 2.1593434138093515, not 1
Solving took 1.11 seconds and 13 GP solves.
Cloning into 'solar'...
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/convexengineering/gpfit.git
Cloning https://github.com/convexengineering/gpfit.git to /tmp/pip-req-build-in2rlx3t
Running command git clone -q https://github.com/convexengineering/gpfit.git /tmp/pip-req-build-in2rlx3t
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/convexengineering/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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=609925b1c60435aa2e4e8ec591fa3281f86f84bc7b1c53f5d3d95e127882519a
Stored in directory: /tmp/pip-ephem-wheel-cache-xf8d9zyq/wheels/b7/26/db/8d7891aa676f12ed7066b510187b6e45bad5a96ae3bebe4361
Successfully built gpfit
Collecting git+https://github.com/convexengineering/gassolar.git
Cloning https://github.com/convexengineering/gassolar.git to /tmp/pip-req-build-f4zmc1zm
Running command git clone -q https://github.com/convexengineering/gassolar.git /tmp/pip-req-build-f4zmc1zm
Requirement already satisfied (use --upgrade to upgrade): gassolar==0.0.0.0 from git+https://github.com/convexengineering/gassolar.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->gassolar==0.0.0.0) (2019.3)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->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=e514aac3c1eeb5f9c456a4d08211c47e66d3952840012921175b97b1ee83cd98
Stored in directory: /tmp/pip-ephem-wheel-cache-kjliridz/wheels/36/21/53/9226b28718e17dd1dade13626212b75280ee7731e785b1b943
Successfully built gassolar
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/solar
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from solar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (0.24.2)
Requirement already satisfied: gpfit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->solar==0.0.0.0) (1.2.4)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->solar==0.0.0.0) (2.8.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas->solar==0.0.0.0) (2019.3)
Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas->solar==0.0.0.0) (1.14.0)
Building wheels for collected packages: solar
Building wheel for solar (setup.py): started
Building wheel for solar (setup.py): finished with status 'done'
Created wheel for solar: filename=solar-0.0.0.0-py3-none-any.whl size=14841 sha256=69980c243c3f653d798208a9ffa196a3a945d439391ccfe36e1806e7870a2d90
Stored in directory: /tmp/pip-ephem-wheel-cache-jdpfo7r_/wheels/e1/f2/c8/c932a74a50c7c249cb629065554b78464951618c3ddeb074ec
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0
Running tests...
----------------------------------------------------------------------
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E
======================================================================
ERROR [3.345s]: test_solar_npod_trade_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/solar/solar/npod_trade.py", line 91, in test
pods(Nplot=100)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/solar/solar/npod_trade.py", line 21, in pods
sol = M.localsolve()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [3.025s]: test_solar_sens_chart_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/solar/solar/sens_chart.py", line 97, in test
result = model.localsolve()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
----------------------------------------------------------------------
Ran 6 tests in 52.343s
FAILED (errors=2)
Generating XML reports...
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'
N=1
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 980 free variables
in 1300 posynomial inequalities.
Solving took 1.62 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000
N=3
Starting a sequence of GP solves
for 67 free variables
in 23 signomial constraints
and for 1032 free variables
in 1384 posynomial inequalities.
Solving took 1.61 seconds and 4 GP solves.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036209.6021 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006641.3990 but bound is 1000000.0000
N=5
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 1084 free variables
in 1492 posynomial inequalities.
Solving took 1.72 seconds and 4 GP solves.
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465
Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329202.9037 but bound is 600000.0000
Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208149.0070 but bound is 1000000.0000
N=7
Starting a sequence of GP solves
for 71 free variables
in 27 signomial constraints
and for 1136 free variables
in 1624 posynomial inequalities.
Solving took 1.94 seconds and 4 GP solves.
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976138.7332 but bound is 600000.0000
Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.9154 but bound is 1000000.0000
N=9
Starting a sequence of GP solves
for 73 free variables
in 29 signomial constraints
and for 1188 free variables
in 1780 posynomial inequalities.
Solving took 2.07 seconds and 4 GP solves.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000
N=0
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 954 free variables
in 1269 posynomial inequalities.
Solving took 1.77 seconds and 4 GP solves.
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000
N=1
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 980 free variables
in 1300 posynomial inequalities.
Solution check warning: Dual variables associated with objective sum to 0.08470265773987562, not 1
Solving took 2.19 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632910.9124 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259325.2514 but bound is 1000000.0000
Using solver 'mosek_cli'
for 7672 free variables
in 10814 posynomial inequalities.
Solving took 2.45 seconds.
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839120.8369 but bound is 600000.0000
Using solver 'mosek_conif'
for 7672 free variables
in 10814 posynomial inequalities.
Solving took 4.96 seconds.
Solution check warning: Dual variables associated with objective sum to 0.006639743159492152, not 1
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.5961 but bound is 600000.0000
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 954 free variables
in 1269 posynomial inequalities.
Solving took 1.78 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000
Starting a sequence of GP solves
for 63 free variables
in 21 signomial constraints
and for 954 free variables
in 1269 posynomial inequalities.
Solution check warning: Dual variables associated with objective sum to 0.0420224099768431, not 1
Solving took 2.25 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119119.2870 but bound is 600000.0000
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
fatal: destination path 'gplibrary' already exists and is not an empty directory.
Requirement already satisfied: pandas in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (0.24.2)
Requirement already satisfied: numpy>=1.12.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (1.18.1)
Requirement already satisfied: pytz>=2011k in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2019.3)
Requirement already satisfied: python-dateutil>=2.5.0 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from python-dateutil>=2.5.0->pandas) (1.14.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to /tmp/pip-req-build-tdyrz_id
Running command git clone -q https://github.com/hoburg/gpfit.git /tmp/pip-req-build-tdyrz_id
Requirement already satisfied (use --upgrade to upgrade): gpfit==0.1 from git+https://github.com/hoburg/gpfit.git in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages
Requirement already satisfied: numpy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpfit==0.1) (1.4.1)
Requirement already satisfied: gpkit in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint<0.10,>=0.8.1 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/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=c3c5a16656faaff93f4131783c1fe39532d2443425daf1ff10775d8996304b6d
Stored in directory: /tmp/pip-ephem-wheel-cache-j7pnksgp/wheels/71/ab/e4/7a6b212ee9602e5a199bff333b97408b12a7b9254bc1cc0734
Successfully built gpfit
Processing /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary
Requirement already satisfied: numpy>=1.12 in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (1.18.1)
Requirement already satisfied: scipy in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (1.4.1)
Requirement already satisfied: pint in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: future in /jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages (from gpkitmodels==0.0.0.0) (0.18.2)
Building wheels for collected packages: gpkitmodels
Building wheel for gpkitmodels (setup.py): started
Building wheel for gpkitmodels (setup.py): finished with status 'done'
Created wheel for gpkitmodels: filename=gpkitmodels-0.0.0.0-py3-none-any.whl size=66127 sha256=e99f2626f675604d8792b81654fd24f7b91dd24d591373bd01406cd736e43472
Stored in directory: /tmp/pip-ephem-wheel-cache-k7t6de_n/wheels/13/41/65/4f4c33e470088012ef2f1e56d3f2bcd1a9166f00e015d9b59e
Successfully built gpkitmodels
Installing collected packages: gpkitmodels
Attempting uninstall: gpkitmodels
Found existing installation: gpkitmodels 0.0.0.0
Uninstalling gpkitmodels-0.0.0.0:
Successfully uninstalled gpkitmodels-0.0.0.0
Successfully installed gpkitmodels-0.0.0.0
adding test for 'gpkitmodels/GP/aircraft/wing/wing_test.py'
adding test for 'gpkitmodels/GP/aircraft/tail/tail_tests.py'
adding test for 'gpkitmodels/GP/aircraft/fuselage/test_fuselage.py'
adding test for 'gpkitmodels/GP/aircraft/prop/prop_test.py'
adding test for 'gpkitmodels/GP/aircraft/motor/motor_test.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_mission.py'
adding test for 'gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py'
Using solver 'mosek_cli'
for 11 free variables
in 14 posynomial inequalities.
Solving took 0.101 seconds.
Using solver 'mosek_conif'
for 11 free variables
in 14 posynomial inequalities.
Solving took 0.034 seconds.
Solution check warning: Dual variables associated with objective sum to 0.12196600193375066, not 1
Using solver 'mosek_cli'
for 9 free variables
in 15 posynomial inequalities.
Solving took 0.144 seconds.
Using solver 'mosek_cli'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.0834 seconds.
Using solver 'mosek_cli'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.075 seconds.
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 129 free variables
in 211 posynomial inequalities.
Solving took 2.54 seconds and 16 GP solves.
Using solver 'mosek_conif'
for 9 free variables
in 15 posynomial inequalities.
Solving took 0.0207 seconds.
Solution check warning: Dual variables associated with objective sum to 0.3721980866610781, not 1
Using solver 'mosek_conif'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.0204 seconds.
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Using solver 'mosek_conif'
for 25 free variables
in 35 posynomial inequalities.
Solving took 0.0208 seconds.
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 129 free variables
in 211 posynomial inequalities.
Solution check warning: Dual variables associated with objective sum to 0.9811187002547269, not 1
Solving took 0.788 seconds and 16 GP solves.
Using solver 'mosek_cli'
for 13 free variables
in 16 posynomial inequalities.
Solving took 0.14 seconds.
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 117 free variables
in 190 posynomial inequalities.
Solving took 1.76 seconds and 11 GP solves.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619891.9379 but bound is 700000.0000
Using solver 'mosek_conif'
for 13 free variables
in 16 posynomial inequalities.
Solving took 0.0188 seconds.
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Starting a sequence of GP solves
for 42 free variables
in 11 signomial constraints
and for 117 free variables
in 190 posynomial inequalities.
Solution check warning: Dual variables associated with objective sum to 0.7687598186280925, not 1
Solving took 0.651 seconds and 11 GP solves.
Warning: Variable BladeElementProp.BladeElementPerf.cl[:] could cause inaccurate result because it is below lower bound. Solution is 0.6000 but bound is 0.4742
Warning: Variable BladeElementProp.BladeElementPerf.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1619836.7097 but bound is 700000.0000
Warning: Variable TailAero.Re could cause inaccurate result because it is above upper bound. Solution is 2220959.7939 but bound is 1000000.0000
Warning: Variable TailAero1.Re could cause inaccurate result because it is above upper bound. Solution is 2499796.7837 but bound is 1000000.0000
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 2223871.1577 but bound is 1000000.0000
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.1324 but bound is 1000000.0000
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Solution check warning: Dual variables associated with objective sum to 2.5000458290358177e-09, not 1
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Warning: Variable TailAero2.Re could cause inaccurate result because it is above upper bound. Solution is 1860717.4158 but bound is 1000000.0000
Warning: Variable TailAero3.Re could cause inaccurate result because it is above upper bound. Solution is 1860716.9860 but bound is 1000000.0000
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Warning: Variable TailAero4.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.4687 but bound is 1000000.0000
Warning: Variable TailAero5.Re could cause inaccurate result because it is above upper bound. Solution is 1853896.7066 but bound is 1000000.0000
Warning: Variable WingAero.Re could cause inaccurate result because it is above upper bound. Solution is 1884889.9591 but bound is 700000.0000
Warning: Variable WingAero1.Re could cause inaccurate result because it is above upper bound. Solution is 1910412.9866 but bound is 700000.0000
Solution check warning: Dual variables associated with objective sum to 0.050123274866950264, not 1
Solution check warning: Dual variables associated with objective sum to 0.05012328026454594, 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.
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 0.8634591528191959, not 1
SGP not convergent: Cost rose by 27% 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 0.49% 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 27% 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 0.49% 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.
Solution check warning: Dual variables associated with objective sum to 0.0, not 1
Starting a sequence of GP solves
for 3 free variables
in 1 signomial constraints
and for 21 free variables
in 22 posynomial inequalities.
GP Solve 1
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.132 seconds.
Solved cost was 5717.
GP Solve 2
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.122 seconds.
Solved cost was 4538.
GP Solve 3
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.142 seconds.
Solved cost was 4536.
GP Solve 4
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0976 seconds.
Solved cost was 4536.
Solving took 0.504 seconds and 4 GP solves.
Running tests...
----------------------------------------------------------------------
../jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
./jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/pint/quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
..E.E.E
======================================================================
ERROR [1.054s]: test_gpkitmodels_GP_aircraft_motor_motor_test_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/GP/aircraft/motor/motor_test.py", line 104, in test
ME_propulsor_test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/GP/aircraft/motor/motor_test.py", line 53, in ME_propulsor_test
sol = test.localsolve(use_leqs=False) # cvxopt gets singular with leqs
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.916s]: test_gpkitmodels_GP_aircraft_prop_prop_test_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/GP/aircraft/prop/prop_test.py", line 33, in test
ME_eta_test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/GP/aircraft/prop/prop_test.py", line 27, in ME_eta_test
sol = pp.localsolve(iteration_limit = 400)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.491s]: test_gpkitmodels_SP_SimPleAC_SimPleAC_mission_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/SP/SimPleAC/SimPleAC_mission.py", line 324, in test
return m.localsolve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.849s]: test_gpkitmodels_SP_SimPleAC_SimPleAC_multimission_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/SP/SimPleAC/SimPleAC_multimission.py", line 68, in test
sol = m.localsolve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
======================================================================
ERROR [0.106s]: test_gpkitmodels_SP_SimPleAC_SimPleAC_py_mosek_conif (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
mod.test()
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gplibrary/gpkitmodels/SP/SimPleAC/SimPleAC.py", line 94, in test
sol = m.localsolve(verbosity = 2)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/sgp.py", line 223, in localsolve
del self.result["sensitivities"]["constraints"][slackconstraint]
KeyError: gpkit.PosynomialInequality(SGP.PCCPslack >= 1)
----------------------------------------------------------------------
Ran 16 tests in 15.048s
FAILED (errors=5)
Generating XML reports...
Starting a sequence of GP solves
for 3 free variables
in 1 signomial constraints
and for 21 free variables
in 22 posynomial inequalities.
GP Solve 1
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0311 seconds.
Solved cost was 5717.
GP Solve 2
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0176 seconds.
Solved cost was 4538.
GP Solve 3
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0192 seconds.
Solved cost was 4536.
GP Solve 4
Using solver 'mosek_conif'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.0188 seconds.
Solved cost was 4536.
Solution check warning: Dual variables associated with objective sum to 0.40633964515439636, not 1
Solving took 0.0926 seconds and 4 GP solves.
Cloning into 'eVTOL'...
Running tests...
----------------------------------------------------------------------
..
----------------------------------------------------------------------
Ran 2 tests in 4.539s
OK
Generating XML reports...
adding test for 'models/model_tests.py'
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
======================================================================
ERROR: test_water_tank_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/water_tank.py", line 18, in <module>
sol = m.solve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
ERROR: test_x_greaterthan_1_mosek_conif (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 59, in test
testfn(name, import_dict, path)(self)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/helpers.py", line 96, in test
importlib.reload(imported[name])
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/importlib/__init__.py", line 166, in reload
_bootstrap._exec(spec, module)
File "<frozen importlib._bootstrap>", line 626, in _exec
File "<frozen importlib._bootstrap_external>", line 665, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/docs/source/examples/x_greaterthan_1.py", line 17, in <module>
sol = m.solve(verbosity=0)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/prog_factories.py", line 126, in solvefn
result = progsolve(solver, verbosity=verbosity, **kwargs)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 235, in solve
process_result=process_result)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 268, in generate_result
solver_out["nu"], solver_out["la"], tol)
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/constraints/gp.py", line 411, in check_solution
if any(np.abs(A.T.dot(nu)) > tol):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 363, in dot
return self * other
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/venv2_gpkit/lib/python3.5/site-packages/scipy/sparse/base.py", line 502, in __mul__
raise ValueError('dimension mismatch')
ValueError: dimension mismatch
======================================================================
FAIL: test_unbounded_debugging (gpkit.tests.t_model.TestSP_mosek_conif)
Test nearly-dual-feasible problems
----------------------------------------------------------------------
Traceback (most recent call last):
File "/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/reynolds/optimizer/mosek/gpkit/tests/t_model.py", line 641, in test_unbounded_debugging
self.assertEqual(bounds["sensitive to lower bound"], set([x.key]))
AssertionError: Items in the first set but not the second:
y
Items in the second set but not the first:
x
----------------------------------------------------------------------
Ran 241 tests in 85.896s
FAILED (failures=1, errors=34)
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 /home/jenkins/mosek/8/tools/platform/linux64x86/bin
#
#
# Looking for mosek_conif
# Trying to import mosek...
# Found mosek_conif in Python path
#
#
# Looking for cvxopt
# Trying to import cvxopt...
# Found cvxopt in Python path
#
...finished building gpkit.
Replaced found solvers (['mosek_cli', 'mosek_conif', 'cvxopt']) 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 0.8163041962471336, 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 1.7207705059264813, 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 0.24999998022544734, not 1
Solution check warning: Dual variables associated with objective sum to 8.552357613718375e-07, 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 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 1.111106856534347, not 1
Solution check warning: Dual variables associated with objective sum to 9.999999809003961, not 1
Solution check warning: Dual variables associated with objective sum to 29.99999923305298, not 1
Solves with these variables bounded:
sensitive to upper bound: x
Solution check warning: Dual variables associated with objective sum to 29.99999958817825, not 1
Solution check warning: Dual variables associated with objective sum to 9.999999935101172, not 1
Solution check warning: Dual variables associated with objective sum to 29.99999960539496, not 1
Solution check warning: Dual variables associated with objective sum to 5.207094452481978, not 1
[Execution node] check if [reynolds] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
Build step 'Console output (build log) parsing' changed build result to FAILURE
Recording test results
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: FAILURE
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