Collecting git+https://github.com/hoburg/turbofan.git
Cloning https://github.com/hoburg/turbofan.git to c:\users\jenkins\appdata\local\temp\pip-req-build-fkq65nwl
Running command git clone -q https://github.com/hoburg/turbofan.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-fkq65nwl'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.6.2)
Requirement already satisfied: pint in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (0.18.2)
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=44142 sha256=317852748973f5218420bb8928d6d17563e5909374671029cd862957ee5485cd
Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-n4xn3s2t\wheels\5e\94\24\992cb23a6749c3bad249589806341b6bef6786d3794831a01c
Successfully built turbofan
Installing collected packages: turbofan
Successfully installed turbofan-0.0.0.0
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\spaircraft
Requirement already satisfied: turbofan in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from SPaircraft==0.0.0) (0.0.0.0)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from SPaircraft==0.0.0) (1.0.0)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from SPaircraft==0.0.0) (0.18.2)
Requirement already satisfied: numpy>=1.16.4 in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.20.2)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->SPaircraft==0.0.0) (0.9)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.6.2)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->SPaircraft==0.0.0) (1.2.6)
Building wheels for collected packages: SPaircraft
Building wheel for SPaircraft (setup.py): started
Building wheel for SPaircraft (setup.py): finished with status 'done'
Created wheel for SPaircraft: filename=SPaircraft-0.0.0-py3-none-any.whl size=1835 sha256=c7020b535593003b5bec4b1d1d7d44ef0c8dec6b63228ed2a1087a4d593da4fe
Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-xlj0psg8\wheels\58\f1\65\17c31d55c70a1ddaf318b574e4f9979e5f67ac924448f94707
Successfully built SPaircraft
Installing collected packages: SPaircraft
Successfully installed SPaircraft-0.0.0
adding test for 'SPaircraft.py'
Running tests...
----------------------------------------------------------------------
EStarting a sequence of GP solves
for 317 free variables
in 136 locally-GP constraints
and for 1198 free variables
in 4699 posynomial inequalities.
GP Solve 1
Using solver 'mosek_cli'
for 1198 free variables
in 4699 posynomial inequalities.
Solving took 0.198 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
======================================================================
ERROR [3.717s]: test_SPaircraft_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 34, in test_fn
mod = __import__(os.path.basename(path)[:-3])
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\SPaircraft\SPaircraft.py", line 89, in <module>
sol = test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\SPaircraft\SPaircraft.py", line 82, in test
sol = optimize_aircraft(m, substitutions, fixedBPR, pRatOpt)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\SPaircraft\SPaircraft.py", line 60, in optimize_aircraft
sol = m.localsolve(verbosity=2, iteration_limit=200, reltol=0.01)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
AttributeError: 'NoneType' object has no attribute 'debug'
----------------------------------------------------------------------
Ran 1 test in 3.717s
FAILED (errors=1)
Generating XML reports...
Cloning into 'robust'...
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\robust
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from robust==0.0.0) (1.0.0)
ERROR: Could not find a version that satisfies the requirement gplibrary (from robust)
ERROR: No matching distribution found for gplibrary
adding test for 'run_tests.py'
Running tests...
----------------------------------------------------------------------
Running tests...
----------------------------------------------------------------------
.......E..EEEE....EEE
======================================================================
ERROR [0.117s]: test_linearize_two_term_posynomial (run_tests.TestLinearization_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp4wo_7csa\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp4wo_7csa\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\testing\t_linearization.py", line 143, in test_linearize_two_term_posynomial
sol = m.solve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.089s]: test_GoalProgram (run_tests.TestPrimitives_mosek_cli)
Tests creation and solution of RobustModels with variable Gamma,
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp49_2lxtu\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp49_2lxtu\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\testing\t_primitives.py", line 37, in test_GoalProgram
nominal_cost = m.localsolve(verbosity=0)['cost']
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.124s]: test_MarginModel (run_tests.TestPrimitives_mosek_cli)
Tests creation and solution of MarginModel
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\robust.py", line 459, in internalsolve
return model.solve(verbosity=verbosity)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 131, in solvefn
self.program, progsolve = genfunction(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 87, in programfn
prog = program(self.cost, self, constants, **initargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 89, in __init__
self.hmaps = [cost_hmap] + list(hmapgen)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 171, in as_hmapslt1
yield_if_hasattr="as_hmapslt1")))
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 170, in <genexpr>
for c in flatiter(self,
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\math.py", line 597, in as_hmapslt1
" SequentialGeometricProgram." % self)
gpkit.exceptions.InvalidGPConstraint: 1 + a*x^2 + 0.5*b*x*y >= a*b*x + a*b*y did 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 "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmprger61k1\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmprger61k1\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\testing\t_primitives.py", line 20, in test_MarginModel
mm = MarginModel(m, gamma=0.5)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 53, in __init__
cs = self.setup(*args, **kwargs) # pylint: disable=no-member
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\margin.py", line 37, in setup
self.nominal_solve = RobustModel.internalsolve(model, verbosity=0)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\robust.py", line 461, in internalsolve
return model.localsolve(verbosity=verbosity)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.104s]: test_conservativeness (run_tests.TestPrimitives_mosek_cli)
Testing conservativeness of solution methods
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp72pm2n63\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp72pm2n63\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\testing\t_primitives.py", line 62, in test_conservativeness
sm = m.solve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.116s]: test_methods (run_tests.TestPrimitives_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpqjsuiixf\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpqjsuiixf\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\testing\t_primitives.py", line 96, in test_methods
nominal_solution = m.solve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.070s]: test_equivalent_twoterm_model (run_tests.TestTwoTermApproximation_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp3_e40z8c\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp3_e40z8c\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\testing\t_two_term_approximation.py", line 21, in test_equivalent_twoterm_model
self.assertAlmostEqual(gpmodel.solve(verbosity=0)['cost'],twoterm_gpmodel.solve(verbosity=0)['cost'])
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.247s]: test_simulate (run_tests.TestSimulation_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\simulations\simulate.py", line 360, in generate_model_properties
nominal_solution = model.solve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 131, in solvefn
self.program, progsolve = genfunction(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 87, in programfn
prog = program(self.cost, self, constants, **initargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 89, in __init__
self.hmaps = [cost_hmap] + list(hmapgen)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 171, in as_hmapslt1
yield_if_hasattr="as_hmapslt1")))
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 171, in as_hmapslt1
yield_if_hasattr="as_hmapslt1")))
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 171, in as_hmapslt1
yield_if_hasattr="as_hmapslt1")))
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 170, in <genexpr>
for c in flatiter(self,
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\math.py", line 682, in as_hmapslt1
raise InvalidGPConstraint(self)
gpkit.exceptions.InvalidGPConstraint: Mission.h[1] = Mission.h[0] + Mission.t_s[1]*Mission.\frac{dh}{dt}[1]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpz9vygh6w\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpz9vygh6w\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\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 "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\simulations\simulate.py", line 365, in generate_model_properties
nominal_solution = model.localsolve(verbosity=0, iteration_limit=100)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.261s]: test_table_diff (run_tests.TestSimulation_mosek_cli)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmplug9g0yf\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmplug9g0yf\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\robust\robust\testing\t_simulation.py", line 62, in test_table_diff
sol = m.localsolve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
----------------------------------------------------------------------
Ran 21 tests in 10.936s
FAILED (errors=8)
Generating XML reports...
.
----------------------------------------------------------------------
Ran 1 test in 14.484s
OK
Generating XML reports...
Cloning into 'shopping'...
adding test for 'test.py'
Running tests...
----------------------------------------------------------------------
EEUsing solver 'mosek_cli'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.093 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
<DEBUG> Model is not feasible with relaxed constants and bounded variables.
Using solver 'mosek_cli'
for 25 free variables
in 40 posynomial inequalities.
Solving took 0.089 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
<DEBUG> Model is not feasible with relaxed constants and bounded variables.
======================================================================
ERROR [0.275s]: test_py (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpraya10zp\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpraya10zp\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 185, in debug
sol = feas.solve(**solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\shopping\test.py", line 62, in test
sol = m.solve(verbosity=1)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 195, in debug
traints = ConstraintsRelaxed(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in __init__
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in <listcomp>
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\array.py", line 87, in __getitem__
out = np.ndarray.__getitem__(self, idxs)
IndexError: index 10 is out of bounds for axis 0 with size 10
======================================================================
ERROR [0.256s]: test_test_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmphhcwfysr\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmphhcwfysr\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 185, in debug
sol = feas.solve(**solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\shopping\test.py", line 62, in test
sol = m.solve(verbosity=1)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 195, in debug
traints = ConstraintsRelaxed(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in __init__
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in <listcomp>
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\array.py", line 87, in __getitem__
out = np.ndarray.__getitem__(self, idxs)
IndexError: index 10 is out of bounds for axis 0 with size 10
----------------------------------------------------------------------
Ran 2 tests in 0.532s
FAILED (errors=2)
Generating XML reports...
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Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (1.2.4)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
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Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-bcwwlqe4
Running command git clone -q https://github.com/hoburg/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-bcwwlqe4'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
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=25624 sha256=a34a94f880292ff991fc51c5533b6553cf2a6c2ccea46c4f380af4f8eb1579a4
Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-wnktnsf6\wheels\57\29\3e\8d7ba8db76ea975ecfe679ec45f25d64a6eaec893d16b3d378
Successfully built gpfit
Installing collected packages: gpfit
Successfully installed gpfit-0.1
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gassolar
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.6.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.6)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2020.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas->gassolar==0.0.0.0) (1.15.0)
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=4895562 sha256=ca6fbf24f5e9be38ca8cf59e656e66265429ec997d238c52c898b8639b191069
Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-5tsy1ymg\wheels\a2\1c\f6\c311a0b154a3c7abb5c7361061ad8b0fb10d2da48901ad2ba0
Successfully built gassolar
Installing collected packages: gassolar
Successfully installed gassolar-0.0.0.0
adding test for 'gassolar/gas/gas.py'
adding test for 'gassolar/solar/solar.py'
Running tests...
----------------------------------------------------------------------
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EC:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EUsing solver 'mosek_cli'
for 592 free variables
in 918 posynomial inequalities.
Solving took 0.163 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
Using solver 'mosek_cli'
for 1250 free variables
in 1872 posynomial inequalities.
Solving took 0.188 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
======================================================================
ERROR [3.262s]: test_gassolar_gas_gas_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gassolar\gassolar\gas\gas.py", line 204, in test
model.solve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 179, in debug
feas = Model(tants.relaxvars.prod()**30 * self.cost, tants)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 70, in __init__
CostedConstraintSet.__init__(self, cost, constraints, substitutions)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\costed.py", line 26, in __init__
ConstraintSet.__init__(self, constraints, subs, bonusvks=self.cost.vks)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 102, in __init__
if np.isnan(self.substitutions[key.veckey][key.idx]):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\keydict.py", line 176, in __getitem__
raise KeyError(key)
KeyError: Mission.Aircraft.Empennage.HorizontalTail.Planform.eta[:]
======================================================================
ERROR [2.984s]: test_gassolar_solar_solar_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gassolar\gassolar\solar\solar.py", line 368, in test
m.solve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 179, in debug
feas = Model(tants.relaxvars.prod()**30 * self.cost, tants)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 70, in __init__
CostedConstraintSet.__init__(self, cost, constraints, substitutions)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\costed.py", line 26, in __init__
ConstraintSet.__init__(self, constraints, subs, bonusvks=self.cost.vks)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 102, in __init__
if np.isnan(self.substitutions[key.veckey][key.idx]):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\keydict.py", line 176, in __getitem__
raise KeyError(key)
KeyError: Mission1.Aircraft.Wing.Planform.eta[:]
----------------------------------------------------------------------
Ran 2 tests in 6.262s
FAILED (errors=2)
Generating XML reports...
Cloning into 'jho'...
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (1.2.4)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from pandas) (1.20.2)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas) (2020.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-cd3dm4vk
Running command git clone -q https://github.com/hoburg/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-cd3dm4vk'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
adding test for 'model/jho.py'
adding test for 'model/print_perf.py'
Running tests...
----------------------------------------------------------------------
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EC:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EStarting a sequence of GP solves
for 8 free variables
in 6 locally-GP constraints
and for 847 free variables
in 2010 posynomial inequalities.
======================================================================
ERROR [2.023s]: test_model_jho_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpxf_rjpz_\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpxf_rjpz_\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\jho\model\jho.py", line 369, in test
model.localsolve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [1.273s]: test_model_print_perf_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp7zecj3xg\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp7zecj3xg\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\jho\model\print_perf.py", line 195, in test
jho_subs(M)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\jho\model\print_perf.py", line 43, in jho_subs
sol = model.localsolve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
----------------------------------------------------------------------
Ran 2 tests in 3.296s
FAILED (errors=2)
Generating XML reports...
Cloning into 'turbofan'...
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\turbofan
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (1.6.2)
Requirement already satisfied: pint in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from turbofan==0.0.0.0) (0.9)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from turbofan==0.0.0.0) (0.18.2)
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=44142 sha256=5cd1a6333aecc4eb4456766150a9888cb02b902e59cd455a1e37692878fa7334
Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-ss6v8pd_\wheels\8a\cf\c8\e6641237d4c8b318a2fb3b33b8c09ab0beefe8395db18dad6e
Successfully built turbofan
Installing collected packages: turbofan
Attempting uninstall: turbofan
Found existing installation: turbofan 0.0.0.0
Uninstalling turbofan-0.0.0.0:
Successfully uninstalled turbofan-0.0.0.0
Successfully installed turbofan-0.0.0.0
adding test for 'turbofan/engine_test.py'
Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 0.006s
OK
Generating XML reports...
Cloning into 'solar'...
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (1.2.4)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas) (2020.1)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from pandas) (1.20.2)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
Collecting git+https://github.com/convexengineering/gpfit.git
Cloning https://github.com/convexengineering/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-fkzjwk66
Running command git clone -q https://github.com/convexengineering/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-fkzjwk66'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
Collecting git+https://github.com/convexengineering/gassolar.git
Cloning https://github.com/convexengineering/gassolar.git to c:\users\jenkins\appdata\local\temp\pip-req-build-2_b4qaov
Running command git clone -q https://github.com/convexengineering/gassolar.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-2_b4qaov'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.6.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gassolar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (from gassolar==0.0.0.0) (1.2.4)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gassolar==0.0.0.0) (0.1)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gassolar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gassolar==0.0.0.0) (1.2.6)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2020.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas->gassolar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas->gassolar==0.0.0.0) (1.15.0)
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\solar
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from solar==0.0.0.0) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from solar==0.0.0.0) (1.6.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from solar==0.0.0.0) (1.0.0)
Requirement already satisfied: pandas in c:\anaconda3\lib\site-packages (from solar==0.0.0.0) (1.2.4)
Requirement already satisfied: gpfit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from solar==0.0.0.0) (0.1)
Requirement already satisfied: gpkitmodels in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary (from solar==0.0.0.0) (0.0.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->solar==0.0.0.0) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->solar==0.0.0.0) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->solar==0.0.0.0) (1.2.6)
Requirement already satisfied: future in c:\anaconda3\lib\site-packages (from gpkitmodels->solar==0.0.0.0) (0.18.2)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas->solar==0.0.0.0) (2020.1)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas->solar==0.0.0.0) (2.8.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas->solar==0.0.0.0) (1.15.0)
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=14956 sha256=87af0a8f443b1eb6c74fe70b0def10c0c8ca8d2236c3012457cb5671d416c3e6
Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-9sukh0sg\wheels\d0\b1\e6\cfdfa6a79426f3c9ac822b9884ce7cc02391bcb2bb75b48230
Successfully built solar
Installing collected packages: solar
Successfully installed solar-0.0.0.0
adding test for 'solar/sens_chart.py'
adding test for 'solar/season.py'
adding test for 'solar/npod_trade.py'
Running tests...
----------------------------------------------------------------------
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
.C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gassolar\environment\solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
tau = np.exp(-0.175/costhsun)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EC:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\gpfit\fit_constraintset.py:46: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
for k in range(fitdata["K"])]
C:\Anaconda3\lib\site-packages\numpy\core\_asarray.py:102: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
return array(a, dtype, copy=False, order=order)
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E
N=1
Warning: linked function for Mission.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission.Climb.rho[0,0] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Starting a sequence of GP solves
for 85 free variables
in 21 locally-GP constraints
and for 980 free variables
in 1300 posynomial inequalities.
rw: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
e: Aircraft1.Empennage.HorizontalTail.Planform.eta[:]
N=3
Warning: linked function for Mission2.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission2.Climb.rho[0,2] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Starting a sequence of GP solves
for 97 free variables
in 23 locally-GP constraints
and for 1032 free variables
in 1384 posynomial inequalities.
rw: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
e: Aircraft3.Wing.Planform.eta[:]
N=5
Warning: linked function for Mission4.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission4.Climb.rho[0,4] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Starting a sequence of GP solves
for 85 free variables
in 21 locally-GP constraints
and for 1084 free variables
in 1492 posynomial inequalities.
rw: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
e: Aircraft5.Empennage.HorizontalTail.Planform.eta[:]
N=7
Warning: linked function for Mission6.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission6.Climb.rho[0,0] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Starting a sequence of GP solves
for 115 free variables
in 27 locally-GP constraints
and for 1136 free variables
in 1624 posynomial inequalities.
rw: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
e: Aircraft7.Wing.Planform.eta[:]
N=9
Warning: linked function for Mission8.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission8.Climb.rho[0,4] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Starting a sequence of GP solves
for 124 free variables
in 29 locally-GP constraints
and for 1188 free variables
in 1780 posynomial inequalities.
rw: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
e: Aircraft9.Empennage.VerticalTail.Planform.eta[:]
N=0
Warning: linked function for Mission10.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission10.Climb.rho[0,2] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Starting a sequence of GP solves
for 85 free variables
in 21 locally-GP constraints
and for 954 free variables
in 1269 posynomial inequalities.
rw: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
e: Aircraft11.Wing.Planform.eta[:]
Warning: linked function for Mission.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission.Climb.rho[0,0] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Using solver 'mosek_cli'
for 7672 free variables
in 10814 posynomial inequalities.
Solving took 0.74 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
Warning: linked function for Mission1.Climb.dh did not return a united value. Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) would reduce the risk of errors.
Warning: skipped auto-differentiation of linked variable Mission1.Climb.rho[0,1] because ValueError('The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()') was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly.
Starting a sequence of GP solves
for 85 free variables
in 21 locally-GP constraints
and for 954 free variables
in 1269 posynomial inequalities.
======================================================================
ERROR [12.057s]: test_solar_season_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\solar\solar\season.py", line 60, in test
_ = season(lats=[20], days=[355])
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\solar\solar\season.py", line 24, in season
sol = M.solve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 179, in debug
feas = Model(tants.relaxvars.prod()**30 * self.cost, tants)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 70, in __init__
CostedConstraintSet.__init__(self, cost, constraints, substitutions)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\costed.py", line 26, in __init__
ConstraintSet.__init__(self, constraints, subs, bonusvks=self.cost.vks)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 102, in __init__
if np.isnan(self.substitutions[key.veckey][key.idx]):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\keydict.py", line 176, in __getitem__
raise KeyError(key)
KeyError: Aircraft.Wing.Planform.eta[:]
======================================================================
ERROR [1.036s]: test_solar_sens_chart_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpwfy29brx\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpwfy29brx\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\solar\solar\sens_chart.py", line 97, in test
result = model.localsolve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
----------------------------------------------------------------------
Ran 3 tests in 28.357s
FAILED (errors=2)
Generating XML reports...
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 c:\anaconda3\lib\site-packages (1.2.4)
Requirement already satisfied: numpy>=1.16.5 in c:\anaconda3\lib\site-packages (from pandas) (1.20.2)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\anaconda3\lib\site-packages (from pandas) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in c:\anaconda3\lib\site-packages (from pandas) (2020.1)
Requirement already satisfied: six>=1.5 in c:\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
Collecting git+https://github.com/hoburg/gpfit.git
Cloning https://github.com/hoburg/gpfit.git to c:\users\jenkins\appdata\local\temp\pip-req-build-co9uzppd
Running command git clone -q https://github.com/hoburg/gpfit.git 'C:\Users\jenkins\AppData\Local\Temp\pip-req-build-co9uzppd'
Requirement already satisfied: numpy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpfit==0.1) (1.6.2)
Requirement already satisfied: gpkit in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek (from gpfit==0.1) (1.0.0)
Requirement already satisfied: pint>=0.8.1 in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkit->gpfit==0.1) (0.9)
Requirement already satisfied: ad in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.3.2)
Requirement already satisfied: cvxopt>=1.1.8 in c:\anaconda3\lib\site-packages (from gpkit->gpfit==0.1) (1.2.6)
Processing c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary
Requirement already satisfied: numpy>=1.12 in c:\anaconda3\lib\site-packages (from gpkitmodels==0.0.0.0) (1.20.2)
Requirement already satisfied: scipy in c:\anaconda3\lib\site-packages (from gpkitmodels==0.0.0.0) (1.6.2)
Requirement already satisfied: pint in c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages (from gpkitmodels==0.0.0.0) (0.9)
Requirement already satisfied: future in c:\anaconda3\lib\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=66715 sha256=8b88b627d40e1f24c83f558d3d38ccceb780a8925290114fb57f9f0942904e33
Stored in directory: C:\Users\jenkins\AppData\Local\Temp\pip-ephem-wheel-cache-ys2t68et\wheels\3a\08\1c\526fc9a8cf18eb28480014ce08b336c1b19614a06a54e4184c
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'
Running tests...
----------------------------------------------------------------------
EEUsing solver 'mosek_cli'
for 11 free variables
in 14 posynomial inequalities.
Solving took 0.097 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
<DEBUG> Model is not feasible with relaxed constants and bounded variables.
Using solver 'mosek_cli'
for 9 free variables
in 15 posynomial inequalities.
Solving took 0.079 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
<DEBUG> Model is not feasible with relaxed constants and bounded variables.
Using solver 'mosek_cli'
for 13 free variables
in 16 posynomial inequalities.
Solving took 0.085 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
EC:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
E<DEBUG> Model is not feasible with relaxed constants and bounded variables.
C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\site-packages\pint\quantity.py:1377: UnitStrippedWarning: The unit of the quantity is stripped.
warnings.warn("The unit of the quantity is stripped.", UnitStrippedWarning)
EEEEStarting a sequence of GP solves
for 4 free variables
in 1 locally-GP constraints
and for 21 free variables
in 22 posynomial inequalities.
GP Solve 1
Using solver 'mosek_cli'
for 21 free variables
in 22 posynomial inequalities.
Solving took 0.102 seconds.
Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it.
Since the model solved in less than a second, let's run `.debug()` to analyze what happened.
`
======================================================================
ERROR [0.299s]: test_gpkitmodels_GP_aircraft_fuselage_test_fuselage_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 185, in debug
sol = feas.solve(**solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 131, in solvefn
self.program, progsolve = genfunction(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 87, in programfn
prog = program(self.cost, self, constants, **initargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 89, in __init__
self.hmaps = [cost_hmap] + list(hmapgen)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 171, in as_hmapslt1
yield_if_hasattr="as_hmapslt1")))
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 171, in as_hmapslt1
yield_if_hasattr="as_hmapslt1")))
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\set.py", line 170, in <genexpr>
for c in flatiter(self,
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\math.py", line 474, in as_hmapslt1
hmap = self._simplify_posy_ineq(hmap, self.pmap, fixed)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\math.py", line 436, in _simplify_posy_ineq
raise PrimalInfeasible(msg)
gpkit.exceptions.PrimalInfeasible: 'CFRPFabric.Relax.tmin >= 1' is infeasible by 2.3e+02% after substituting {CFRPFabric.Relax.tmin: 0.3048}.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\fuselage\test_fuselage.py", line 17, in test
test_ellp()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\fuselage\test_fuselage.py", line 13, in test_ellp
m.solve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 195, in debug
traints = ConstraintsRelaxed(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in __init__
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in <listcomp>
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\array.py", line 87, in __getitem__
out = np.ndarray.__getitem__(self, idxs)
IndexError: index 3 is out of bounds for axis 0 with size 3
======================================================================
ERROR [0.307s]: test_gpkitmodels_GP_aircraft_motor_motor_test_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp5wpwxke1\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp5wpwxke1\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 185, in debug
sol = feas.solve(**solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\motor\motor_test.py", line 101, in test
motor_test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\motor\motor_test.py", line 98, in motor_test
test.solve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 195, in debug
traints = ConstraintsRelaxed(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in __init__
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in <listcomp>
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\array.py", line 87, in __getitem__
out = np.ndarray.__getitem__(self, idxs)
IndexError: index 3 is out of bounds for axis 0 with size 3
======================================================================
ERROR [0.264s]: test_gpkitmodels_GP_aircraft_prop_prop_test_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpci330eqz\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpci330eqz\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 185, in debug
sol = feas.solve(**solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\prop\prop_test.py", line 32, in test
simpleprop_test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\prop\prop_test.py", line 17, in simpleprop_test
m.solve()
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\model.py", line 195, in debug
traints = ConstraintsRelaxed(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in __init__
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\relax.py", line 92, in <listcomp>
for i, c in enumerate(original_constraints.flat())]
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\nomials\array.py", line 87, in __getitem__
out = np.ndarray.__getitem__(self, idxs)
IndexError: index 3 is out of bounds for axis 0 with size 3
======================================================================
ERROR [0.225s]: test_gpkitmodels_GP_aircraft_tail_tail_tests_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmph3r6b7_x\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmph3r6b7_x\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\tail\tail_tests.py", line 117, in test
test_htail()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\tail\tail_tests.py", line 24, in test_htail
m.solve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.312s]: test_gpkitmodels_GP_aircraft_wing_wing_test_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpwtuu54os\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmpwtuu54os\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\wing\wing_test.py", line 82, in test
wing_test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\GP\aircraft\wing\wing_test.py", line 50, in wing_test
m.solve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.711s]: test_gpkitmodels_SP_SimPleAC_SimPleAC_mission_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp1wezqxro\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp1wezqxro\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\SP\SimPleAC\SimPleAC_mission.py", line 327, in test
sol = m.localsolve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.380s]: test_gpkitmodels_SP_SimPleAC_SimPleAC_multimission_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp5biiy82l\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp5biiy82l\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\SP\SimPleAC\SimPleAC_multimission.py", line 68, in test
sol = m.localsolve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
======================================================================
ERROR [0.130s]: test_gpkitmodels_SP_SimPleAC_SimPleAC_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gplibrary\gpkitmodels\SP\SimPleAC\SimPleAC.py", line 94, in test
sol = m.localsolve(verbosity = 2)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\sgp.py", line 159, in localsolve
gen_result=False, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 238, in solve
return self.model.debug(solver=solver)
AttributeError: 'NoneType' object has no attribute 'debug'
----------------------------------------------------------------------
Ran 8 tests in 2.630s
FAILED (errors=8)
Generating XML reports...
Cloning into 'eVTOL'...
adding test for 'models/model_tests.py'
Running tests...
----------------------------------------------------------------------
E
======================================================================
ERROR [1.310s]: test_models_model_tests_py_mosek_cli (gpkit.tests.from_paths.TestFiles)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp014619fg\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp014619fg\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 48, in <lambda>
lambda self: getattr(self, name)())) # pylint:disable=undefined-variable
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\from_paths.py", line 37, in test_fn
mod.test()
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\eVTOL\models\model_tests.py", line 34, in test
solution = problem.solve(verbosity=0)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "c:\users\jenkins\workspace\ce_gpkit_pr_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
----------------------------------------------------------------------
Ran 1 test in 1.310s
FAILED (errors=1)
Generating XML reports...
======================================================================
ERROR: test_x_greaterthan_1_mosek_cli (gpkit.tests.t_examples.TestExamples)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 87, in optimize
solution_filename]).split(b"\n"):
File "C:\Anaconda3\Lib\subprocess.py", line 411, in check_output
**kwargs).stdout
File "C:\Anaconda3\Lib\subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['mskexpopt', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp44xqerb5\\gpkit_mosek', '-sol', 'C:\\Users\\jenkins\\AppData\\Local\\Temp\\tmp44xqerb5\\gpkit_mosek.sol']' returned non-zero exit status 1001.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 205, in solve
k=self.k, p_idxs=self.p_idxs, **solverargs)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\solvers\mosek_cli.py", line 95, in optimize
raise UnknownInfeasible() from e
gpkit.exceptions.UnknownInfeasible
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 55, in test
testfn(name, import_dict, path)(self)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\tests\helpers.py", line 90, in test
imported[name] = importlib.import_module(name)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\venv_gpkit\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\docs\source\examples\x_greaterthan_1.py", line 17, in <module>
sol = m.solve(verbosity=0)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\prog_factories.py", line 132, in solvefn
result = progsolve(solver, verbosity=verbosity, **solveargs)
File "C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek\gpkit\constraints\gp.py", line 242, in solve
raise infeasibility.__class__(msg) from infeasibility
gpkit.exceptions.UnknownInfeasible: Solver failed for an unknown reason. Relaxing constraints/constants, bounding variables, or using a different solver might fix it. Running `.debug()` or increasing verbosity may pinpoint the trouble.
----------------------------------------------------------------------
Ran 206 tests in 9.431s
FAILED (errors=91)
Found no installed solvers, beginning a build.
# Building GPkit version 1.0.0pre
# Moving to the directory from which GPkit was imported.
Attempting to find and build solvers:
# Looking for `mosek_cli`
# (A "success" is if mskexpopt complains that
# we haven't specified a file for it to open.)
# Calling 'mskexpopt'
##
### CALL BEGINS
### CALL ENDS
##
Found mosek_cli in the default PATH
# Looking for `mosek_conif`
# Trying to import mosek...
# Did not find
# mosek_conif
# Looking for `cvxopt`
# Trying to import cvxopt...
Found cvxopt in the default PYTHONPATH
Replaced found solvers (['mosek_cli', 'cvxopt']) with environment var GPKITSOLVERS (mosek_cli)
Found the following solvers: mosek_cli
# Replacing directory env
(venv_gpkit) C:\Users\jenkins\workspace\CE_gpkit_PR_research_models\buildnode\windows10x64\optimizer\mosek>exit 0
Build step 'Console output (build log) parsing' changed build result to FAILURE
Recording test results
[Checks API] No suitable checks publisher found.
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Deferred wipeout is used...
[WS-CLEANUP] done
Finished: FAILURE
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